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ORCIDTianlong Chen 0001
Tian-Long Chen 0001
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA
- affiliation (former): Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA
- affiliation (former): Harvard University, Department of Biomedical Informatics, Boston, MA, USA
- affiliation (PhD 2023): University of Texas at Austin, TX, USA
Other persons with the same name
- Tianlong Chen 0002
![[0000-0002-2292-3792]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2292-3792")
— Hubei University of Technology, School of Mechanical Engineering, Wuhan, China - Tianlong Chen 0003 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China
- Tianlong Chen 0004 — Microsoft, Redmond, WA, USA (and 1 more)
- Tianlong Chen 0005 — Southwest Jiaotong University, Chengdu, China
- Tianlong Chen 0006 — Zhejiang Sci-Tech University, Faculty of Mechanical Engineering & Automation, Hangzhou, China
- Tianlong Chen 0007 — OpticArray Technologies, Inc., Rockville, MD, USA
- Tianlong Chen 0008 — Central China Normal University, MoE Key Laboratory of Adolescent Cyberpsychology and Behavior, Wuhan, China
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2020 – today
- 2026
[j22]Bernardo Consoli, Haoyang Wang, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding:
SDoH-GPT: using large language models to extract social determinants of health. J. Am. Medical Informatics Assoc. 33(1): 67-78 (2026)- [c183]Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu:
Explaining the 'Unexplainable' Large Language Models. WSDM 2026: 1371-1373 - 2025
- [j21]Yixing Lan, Xin Xu, Jiahang Liu, Xinglong Zhang, Yang Lu, Tian-Long Chen:
A Survey on Reinforcement Learning for Optimal Decision-Making and Control of Intelligent Vehicles. CAAI Trans. Intell. Technol. 10(6): 1593-1615 (2025) - [j20]Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Yue Zhang, Ren Wang, Xiaoshuang Shi, Kaidi Xu:
Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. Eng. Appl. Artif. Intell. 139: 109553 (2025) - [j19]Yuxi Liu, Zhenhao Zhang, Jiacong Mi, Shirui Pan, Tianlong Chen, Yi Guo, Xing He, Jiang Bian:
GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation. J. Biomed. Informatics 168: 104851 (2025) - [j18]Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian:
A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. 327: 114102 (2025) - [j17]Andy Li, Aiden Durrant, Milan Markovic, Tianjin Huang, Souvik Kundu, Tianlong Chen, Lu Yin, Georgios Leontidis:
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning. Trans. Mach. Learn. Res. 2025 (2025) - [j16]Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni:
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. Trans. Mach. Learn. Res. 2025 (2025) - [c182]Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen:
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. AAAI 2025: 4111-4119 - [c181]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study. AAAI 2025: 5084-5091 - [c180]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI 2025: 14432-14440 - [c179]Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu:
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis. AAAI 2025: 21180-21188 - [c178]Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding:
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. AAAI 2025: 23696-23703 - [c177]Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. AAAI 2025: 25237-25245 - [c176]Tianlong Chen:
Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs. AAAI 2025: 28707 - [c175]Huaizhi Qu, Xinyu Zhao, Jie Peng, Kwonjoon Lee, Behzad Dariush, Tianlong Chen:
UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging. ACL (Findings) 2025: 1401-1417 - [c174]Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen:
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. ACL (Findings) 2025: 3805-3819 - [c173]Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei:
Vision Language Model Helps Private Information De-Identification in Vision Data. ACL (Findings) 2025: 4558-4572 - [c172]Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei:
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges. ACL (Findings) 2025: 4573-4586 - [c171]Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister:
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. ACL (1) 2025: 8416-8439 - [c170]Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu:
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. ACL (1) 2025: 8473-8503 - [c169]Rana Muhammad Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen:
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. ACL (1) 2025: 9661-9674 - [c168]Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen:
Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis. ACL (Findings) 2025: 13241-13252 - [c167]Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
SConU: Selective Conformal Uncertainty in Large Language Models. ACL (1) 2025: 19052-19075 - [c166]Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen:
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. ACL (1) 2025: 26443-26458 - [c165]Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs. BCB 2025: 20:1-20:10 - [c164]Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-Conditioned Graph Generation. CIKM 2025: 3060-3070 - [c163]Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu:
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CPAL 2025: 780-809 - [c162]Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen:
Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning. CPAL 2025: 1112-1145 - [c161]Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Window Token Concatenation for Efficient Visual Large Language Models. CVPR Workshops 2025: 3187-3197 - [c160]Mufan Qiu, Zheyu Shen, Pingzhi Li, Ang Li, Tianlong Chen:
Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety. EMNLP (Findings) 2025: 817-835 - [c159]Yuhang Chen, Zhen Tan, Tianlong Chen:
EQA-RM: A Generative Embodied Reward Model with Test-time Scaling. EMNLP 2025: 927-945 - [c158]Rana Muhammad Shahroz, Dongwen Tang, Pingzhi Li, Kai Wang, Tianlong Chen:
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion. EMNLP (Findings) 2025: 1357-1370 - [c157]Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding:
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. EMNLP 2025: 2858-2873 - [c156]Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen:
Glider: Global and Local Instruction-Driven Expert Router. EMNLP 2025: 6240-6301 - [c155]Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang:
FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference. EMNLP (Findings) 2025: 9702-9713 - [c154]Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal, Huaizhi Qu, Xinyu Zhao, Qi Lin, Yu Cheng, Andrew Kwong, Zhichao Cao, Tianlong Chen:
Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework. EMNLP 2025: 10414-10424 - [c153]Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li:
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. EMNLP 2025: 11555-11567 - [c152]Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee, Behzad Dariush, Tianlong Chen:
Task-Aware Resolution Optimization for Visual Large Language Models. EMNLP 2025: 15756-15770 - [c151]Huaizhi Qu, Yujie Wang, Ruichen Zhang, Hengyu Lian, Mufan Qiu, Samarjit Chakraborty, Henry Fuchs, Tianlong Chen, Praneeth Chakravarthula:
HoloZip: High Hologram Compression via Latent-of-Latent Coding. ICCP 2025: 1-10 - [c150]Kyle Cox, Gang Qu, Chi-Yang Hsu, Jiawei Xu, Yingtong Zhou, Zhen Tan, Mengzhou Hu, Tianlong Chen, Ziniu Hu, Zhongming Zhao, Ying Ding:
Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation. ICHI 2025: 462-470 - [c149]Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen:
Composable Interventions for Language Models. ICLR 2025 - [c148]Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li:
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. ICLR 2025 - [c147]Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal:
Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection. ICLR 2025 - [c146]Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen:
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. ICLR 2025 - [c145]Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan:
Graph Sparsification via Mixture of Graphs. ICLR 2025 - [c144]Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. ICLR 2025 - [c143]Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen:
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing. ICML 2025 - [c142]Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen:
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference. ICML 2025 - [c141]Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long:
I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. ICML 2025 - [c140]Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng:
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. ICML 2025 - [c139]Lichi Li, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar:
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. KDD (1) 2025: 2371-2382 - [c138]Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park:
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. KDD (2) 2025: 3704-3715 - [c137]Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen:
A Survey on Trustworthy LLM Agents: Threats and Countermeasures. KDD (2) 2025: 6216-6226 - [c136]Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao:
RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. MICRO 2025: 1838-1851 - [c135]Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu:
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. NAACL (Long Papers) 2025: 5558-5588 - [c134]Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen:
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design. NAACL (Long Papers) 2025: 6815-6825 - [c133]Sizhe Wang, Yongqi Tong, Hengyuan Zhang, Dawei Li, Xin Zhang, Tianlong Chen:
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment. NAACL (Long Papers) 2025: 8811-8826 - [c132]Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou:
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. NAACL (Long Papers) 2025: 12541-12554 - [c131]Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei:
Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness. SDM 2025: 386-397 - [d2]Huaizhi Qu, Xiao Wang, Yuanyuan Zhang, Sheng Wang, William S. Noble, Tianlong Chen:
Data for "CryoNeRF: neural radiance field for homogeneous and heterogeneous cryo-EM reconstruction". Version 1. Zenodo, 2025 [all versions]
- [d1]Huaizhi Qu, Xiao Wang, Yuanyuan Zhang, Sheng Wang, William S. Noble, Tianlong Chen:
Data for "CryoNeRF: neural radiance field for homogeneous and heterogeneous cryo-EM reconstruction". Version 2. Zenodo, 2025 [all versions] - [i233]Haoran Wang, Pingzhi Li, Min Chen, Jinglei Cheng, Junyu Liu, Tianlong Chen:
GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching. CoRR abs/2501.00135 (2025) - [i232]Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen:
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. CoRR abs/2501.02173 (2025) - [i231]Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Tianlong Chen, Kaixiong Zhou:
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. CoRR abs/2501.02629 (2025) - [i230]Zijie Liu, Xinyu Zhao, Jie Peng, Zhuangdi Zhu, Qingyu Chen, Xia Hu, Tianlong Chen:
Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations. CoRR abs/2501.17860 (2025) - [i229]Jie Peng, Shuang Zhou, Longwei Yang, Yiran Song, Mohan Zhang, Kaixiong Zhou, Feng Xie, Mingquan Lin, Rui Zhang, Tianlong Chen:
Continually Evolved Multimodal Foundation Models for Cancer Prognosis. CoRR abs/2501.18170 (2025) - [i228]Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu:
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. CoRR abs/2502.06494 (2025) - [i227]Ruichen Zhang, Mufan Qiu, Zhen Tan, Mohan Zhang, Vincent Lu, Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Peter Qian, Tianlong Chen:
Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs. CoRR abs/2502.07942 (2025) - [i226]Yining Jiao, Sreekalyani Bhamidi, Huaizhi Qu, Carlton J. Zdanski, Julia S. Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Tianlong Chen, Marc Niethammer:
LucidAtlas$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations. CoRR abs/2502.08445 (2025) - [i225]Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu:
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention. CoRR abs/2502.10937 (2025) - [i224]Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding:
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. CoRR abs/2502.14302 (2025) - [i223]Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu:
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. CoRR abs/2502.17055 (2025) - [i222]Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li:
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. CoRR abs/2502.17591 (2025) - [i221]Yexiao He, Ziyao Wang, Yuning Zhang, Tingting Dan, Tianlong Chen, Guorong Wu, Ang Li:
NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis. CoRR abs/2503.00510 (2025) - [i220]Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen:
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. CoRR abs/2503.01682 (2025) - [i219]Justin Chih-Yao Chen, Sukwon Yun, Elias Stengel-Eskin, Tianlong Chen, Mohit Bansal:
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning. CoRR abs/2503.05641 (2025) - [i218]Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu:
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CoRR abs/2503.07066 (2025) - [i217]Ziang Yin, Aashish Poonia, Ashish Reddy Bommana, Xinyu Zhao, Zahra Hojati, Tianlong Chen, Krishnendu Chakrabarty, Farshad Firouzi, Jeff Zhang, Jiaqi Gu:
H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures. CoRR abs/2503.07778 (2025) - [i216]Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister:
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. CoRR abs/2503.08026 (2025) - [i215]Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen:
A Survey on Trustworthy LLM Agents: Threats and Countermeasures. CoRR abs/2503.09648 (2025) - [i214]Mingjia Shi, Ruihan Lin, Xuxi Chen, Yuhao Zhou, Zezhen Ding, Pingzhi Li, Tong Wang, Kai Wang, Zhangyang Wang, Jiheng Zhang, Tianlong Chen:
Make Optimization Once and for All with Fine-grained Guidance. CoRR abs/2503.11462 (2025) - [i213]Rana Muhammad Shahroz Khan, Dongwen Tang, Pingzhi Li, Kai Wang, Tianlong Chen:
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion. CoRR abs/2503.24354 (2025) - [i212]Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen:
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. CoRR abs/2504.00218 (2025) - [i211]Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen:
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design. CoRR abs/2504.01337 (2025) - [i210]Zhuoran Yang, Jie Peng, Zhen Tan, Tianlong Chen, Yanyong Zhang:
LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution. CoRR abs/2504.01533 (2025) - [i209]Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong:
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. CoRR abs/2504.02193 (2025) - [i208]Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Window Token Concatenation for Efficient Visual Large Language Models. CoRR abs/2504.04024 (2025) - [i207]Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du:
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations. CoRR abs/2504.05586 (2025) - [i206]Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu:
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. CoRR abs/2504.08919 (2025) - [i205]Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen:
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. CoRR abs/2504.12589 (2025) - [i204]Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
SConU: Selective Conformal Uncertainty in Large Language Models. CoRR abs/2504.14154 (2025) - [i203]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025) - [i202]Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal:
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. CoRR abs/2505.01456 (2025) - [i201]Min Chen, Jinglei Cheng, Pingzhi Li, Haoran Wang, Tianlong Chen, Junyu Liu:
GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization. CoRR abs/2505.04880 (2025) - [i200]Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang:
DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR abs/2505.13300 (2025) - [i199]Shuqing Luo, Pingzhi Li, Jie Peng, Hanrui Wang, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen:
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference. CoRR abs/2505.13345 (2025) - [i198]Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen:
The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation. CoRR abs/2505.18759 (2025) - [i197]Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long:
I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. CoRR abs/2505.19190 (2025) - [i196]Pingzhi Li, Zhen Tan, Huaizhi Qu, Huan Liu, Tianlong Chen:
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation. CoRR abs/2505.19504 (2025) - [i195]Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan:
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. CoRR abs/2505.20279 (2025) - [i194]Yifan Li, Yuhang Chen, Anh Dao, Lichi Li, Zhongyi Cai, Zhen Tan, Tianlong Chen, Yu Kong:
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios. CoRR abs/2505.20640 (2025) - [i193]Zhihao Wang, Wenke Huang, Tian-Long Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye:
An Empirical Study of Federated Prompt Learning for Vision Language Model. CoRR abs/2505.23024 (2025) - [i192]Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen:
Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis. CoRR abs/2506.01918 (2025) - [i191]Yuhang Chen, Zhen Tan, Tianlong Chen:
EQA-RM: A Generative Embodied Reward Model with Test-time Scaling. CoRR abs/2506.10389 (2025) - [i190]Jinhao Duan, James Diffenderfer, Sandeep Madireddy, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu:
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making. CoRR abs/2506.17419 (2025) - [i189]Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li:
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. CoRR abs/2506.17784 (2025) - [i188]Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu:
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. CoRR abs/2506.20178 (2025) - [i187]Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu:
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm. CoRR abs/2506.20606 (2025) - [i186]Xin Xu, Tianlong Chen, Fan Zhang, Wanlong Liu, Pengxiang Li, Ajay Kumar Jaiswal, Yuchen Yan, Jishan Hu, Yang Wang, Hao Chen, Shiwei Liu, Shizhe Diao, Can Yang, Lu Yin:
Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning. CoRR abs/2506.21285 (2025) - [i185]Tianlong Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, Ajay Kumar Jaiswal, Fan Zhang, Jishan Hu, Yang Wang, Hao Chen, Shizhe Diao, Shiwei Liu, Yu Li, Yin Lu, Can Yang:
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling. CoRR abs/2506.22049 (2025) - [i184]Zhenglun Kong, Mufan Qiu, John Boesen, Xiang Li, Sukwon Yun, Tianlong Chen, Manolis Kellis, Marinka Zitnik:
SPATIA: Multimodal Model for Prediction and Generation of Spatial Cell Phenotypes. CoRR abs/2507.04704 (2025) - [i183]Levi Harris, Md Jayed Hossain, Mufan Qiu, Ruichen Zhang, Pingchuan Ma, Tianlong Chen, Jiaqi Gu, Seth Ariel Tongay, Umberto Celano:
SparseC-AFM: a deep learning method for fast and accurate characterization of MoS2 with C-AFM. CoRR abs/2507.13527 (2025) - [i182]Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. CoRR abs/2507.23227 (2025) - [i181]Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park:
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. CoRR abs/2508.01209 (2025) - [i180]Xinyu Zhao, Zhen Tan, Maya Enisman, Minjae Seo, Marta R. Durantini, Dolores Albarracin, Tianlong Chen:
Transferring Expert Cognitive Models to Social Robots via Agentic Concept Bottleneck Models. CoRR abs/2508.03998 (2025) - [i179]Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang:
FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference. CoRR abs/2508.08256 (2025) - [i178]Jiun-Cheng Jiang, Morris Yu-Chao Huang, Tianlong Chen, Hsi-Sheng Goan:
Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks. CoRR abs/2509.14026 (2025) - [i177]Huaizhi Qu, Xiao Wang, Gengwei Zhang, Jie Peng, Tianlong Chen:
GEM: 3D Gaussian Splatting for Efficient and Accurate Cryo-EM Reconstruction. CoRR abs/2509.25075 (2025) - [i176]Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen:
FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning. CoRR abs/2510.04040 (2025) - [i175]Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao:
RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. CoRR abs/2510.06644 (2025) - [i174]Shuqing Luo, Yilin Guan, Pingzhi Li, Hanrui Wang, Tianlong Chen:
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding. CoRR abs/2510.07486 (2025) - [i173]Weiqing Luo, Zhen Tan, Yifan Li, Xinyu Zhao, Kwonjoon Lee, Behzad Dariush, Tianlong Chen:
Task-Aware Resolution Optimization for Visual Large Language Models. CoRR abs/2510.09822 (2025) - [i172]Tianyu Hu, Zhen Tan, Song Wang, Huaizhi Qu, Tianlong Chen:
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection. CoRR abs/2510.12697 (2025) - [i171]Huaizhi Qu, Ruichen Zhang, Shuqing Luo, Luchao Qi, Zhihao Zhang, Xiaoming Liu, Roni Sengupta, Tianlong Chen:
EditCast3D: Single-Frame-Guided 3D Editing with Video Propagation and View Selection. CoRR abs/2510.13652 (2025) - [i170]Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen:
Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. CoRR abs/2510.14319 (2025) - [i169]Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang, Sijia Liu, Tianlong Chen:
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model. CoRR abs/2510.15965 (2025) - [i168]Kangqi Ni, Zhen Tan, Zijie Liu, Pingzhi Li, Tianlong Chen:
Can GRPO Help LLMs Transcend Their Pretraining Origin? CoRR abs/2510.15990 (2025) - [i167]Jiaye Yang, Xinyu Zhao, Tianlong Chen, Kandyce Brennan:
SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling. CoRR abs/2510.16081 (2025) - [i166]Pingzhi Li, Morris Yu-Chao Huang, Zhen Tan, Qingquan Song, Jie Peng, Kai Zou, Yu Cheng, Kaidi Xu, Tianlong Chen:
Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures. CoRR abs/2510.16968 (2025) - [i165]Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding:
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. CoRR abs/2510.17028 (2025) - [i164]Morris Yu-Chao Huang, Zhen Tan, Mohan Zhang, Pingzhi Li, Zhuo Zhang, Tianlong Chen:
TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning. CoRR abs/2510.20188 (2025) - [i163]Penghao Wang, Yuhao Zhou, Mengxuan Wu, Ziheng Qin, Bangyuan Zhu, Shengbin Huang, Xuanlei Zhao, Panpan Zhang, Xiaojiang Peng, Yuzhang Shang, Jianfei Yang, Zheng Zhu, Tianlong Chen, Zhangyang Wang, Kai Wang:
ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows. CoRR abs/2510.20279 (2025) - [i162]Zhen Xu, Zhen Tan, Song Wang, Kaidi Xu, Tianlong Chen:
Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder. CoRR abs/2511.05745 (2025) - [i161]Zezhen Ding, Zhen Tan, Jiheng Zhang, Tianlong Chen:
OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning. CoRR abs/2511.09092 (2025) - [i160]Feng Wang, Tianlong Chen, Shuyue Wei, Qian Chu, Yi Zhang, Yifan Sun, Zhiming Zheng:
Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-Temporal Graph Learning Method for Traffic Flow Forecasting. CoRR abs/2511.10434 (2025) - [i159]Levi Harris, Tianlong Chen:
A Space-Time Transformer for Precipitation Forecasting. CoRR abs/2511.11090 (2025) - [i158]Dawei Li, Zijian Gu, Peng Wang, Chuhan Song, Zhen Tan, Mohan Zhang, Tianlong Chen, Yu Tian, Song Wang:
Fairness in Multi-modal Medical Diagnosis with Demonstration Selection. CoRR abs/2511.15986 (2025) - [i157]Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen:
Vulnerability-Aware Robust Multimodal Adversarial Training. CoRR abs/2511.18138 (2025) - [i156]Xuchen Li, Hengrui Gu, Mohan Zhang, Qin Liu, Zhen Tan, Xinyuan Zhu, Huixue Zhou, Tianlong Chen, Kaixiong Zhou:
PPBoost: Progressive Prompt Boosting for Text-Driven Medical Image Segmentation. CoRR abs/2511.21984 (2025) - [i155]Zhiyuan Wang, Aniri, Tianlong Chen, Yue Zhang, Heng Tao Shen, Xiaoshuang Shi, Kaidi Xu:
LEC: Linear Expectation Constraints for False-Discovery Control in Selective Prediction and Routing Systems. CoRR abs/2512.01556 (2025) - [i154]Farica Zhuang, Dinara Aliyeva, Shu Yang, Zixuan Wen, Duy Duong-Tran, Christos Davatzikos, Tianlong Chen, Song Wang, Li Shen:
Multimodal Fusion of Regional Brain Experts for Interpretable Alzheimer's Disease Diagnosis. CoRR abs/2512.10966 (2025) - 2024
- [j15]Junseok Lee, Sukwon Yun, Yeongmin Kim, Tianlong Chen, Manolis Kellis, Chanyoung Park:
Single-cell RNA sequencing data imputation using bi-level feature propagation. Briefings Bioinform. 25(3) (2024) - [j14]Yongduo Sui, Xiang Wang, Tianlong Chen, Meng Wang, Xiangnan He, Tat-Seng Chua:
Inductive Lottery Ticket Learning for Graph Neural Networks. J. Comput. Sci. Technol. 39(6): 1223-1237 (2024) - [j13]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang:
One is Not Enough: Parameter-Efficient Fine-Tuning With Multiplicative Sparse Factorization. IEEE J. Sel. Top. Signal Process. 18(6): 1059-1069 (2024) - [j12]Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal:
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. Trans. Mach. Learn. Res. 2024 (2024) - [c130]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. AAAI 2024: 21619-21627 - [c129]Yashaswi Galhotra, Ying Ding, Li Shen, Huanmei Wu, Tianlong Chen, Kaixiong Zhou:
Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health. BCB 2024: 41:1-41:6 - [c128]Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie:
HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. CPAL 2024: 282-301 - [c127]Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher:
Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework. CPAL 2024: 302-323 - [c126]Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang:
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision. CVPR 2024: 308-318 - [c125]Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu:
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CVPR 2024: 7362-7371 - [c124]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. EACL (Findings) 2024: 458-477 - [c123]Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen:
Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. ECCV (55) 2024: 127-144 - [c122]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. ECCV (18) 2024: 165-186 - [c121]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP 2024: 1610-1626 - [c120]Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) 2024: 2187-2205 - [c119]Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou:
Cross-Lingual Multi-Hop Knowledge Editing. EMNLP (Findings) 2024: 11995-12015 - [c118]Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella:
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. EMNLP 2024: 16943-16956 - [c117]Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu:
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. EMNLP 2024: 18089-18099 - [c116]Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. ICLR 2024 - [c115]Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen:
Sparse MoE with Language Guided Routing for Multilingual Machine Translation. ICLR 2024 - [c114]Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng:
MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts. ICML 2024: 7792-7808 - [c113]Chengyue Gong, Adam R. Klivans, James Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz:
Evolution-Inspired Loss Functions for Protein Representation Learning. ICML 2024: 15893-15906 - [c112]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024: 20166-20270 - [c111]Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang:
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. ICML 2024: 28368-28386 - [c110]Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen:
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. ICML 2024: 59173-59190 - [c109]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024: 60197-60219 - [c108]Wenqing Zheng, Brian M. Sadler, Fernando Gama, Tianlong Chen:
Distributed UAV Beamforming Using Graph Recurrent Neural Networks. SAM 2024: 1-5 - [c107]Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding:
Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. ML4H@NeurIPS 2024: 735-746 - [c106]Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu:
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. NAACL-HLT 2024: 2232-2246 - [c105]Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu:
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations. NeurIPS 2024 - [c104]Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen:
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. NeurIPS 2024 - [c103]Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang:
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. NeurIPS 2024 - [c102]Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS 2024 - [c101]Pingzhi Li, Tianlong Chen, Junyu Liu:
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography. TPS-ISA 2024: 499-505 - [c100]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. WWW (Companion Volume) 2024: 537-540 - [i153]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i152]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR abs/2401.05571 (2024) - [i151]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i150]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. CoRR abs/2402.01729 (2024) - [i149]Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen:
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR abs/2402.11592 (2024) - [i148]Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu:
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR abs/2402.12348 (2024) - [i147]Lichi Li, Zainul Abi Din, Zhen Tan, Sam London, Tianlong Chen, Ajay H. Daptardar:
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems. CoRR abs/2402.14230 (2024) - [i146]Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi:
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR abs/2402.14259 (2024) - [i145]Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang:
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR abs/2402.14270 (2024) - [i144]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu:
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR abs/2402.14859 (2024) - [i143]Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR abs/2403.01071 (2024) - [i142]Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei:
Privacy-preserving Fine-tuning of Large Language Models through Flatness. CoRR abs/2403.04124 (2024) - [i141]Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. CoRR abs/2403.05636 (2024) - [i140]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. CoRR abs/2403.07144 (2024) - [i139]Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Barbosa Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo:
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR abs/2404.00399 (2024) - [i138]Shwai He, Tianlong Chen:
RESSA: Repair Sparse Vision-Language Models via Sparse Cross-Modality Adaptation. CoRR abs/2404.02424 (2024) - [i137]Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella:
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR abs/2404.03865 (2024) - [i136]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. CoRR abs/2404.05052 (2024) - [i135]Pingzhi Li, Junyu Liu, Hanrui Wang, Tianlong Chen:
Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent. CoRR abs/2405.00252 (2024) - [i134]Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR abs/2405.04819 (2024) - [i133]Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan:
Graph Sparsification via Mixture of Graphs. CoRR abs/2405.14260 (2024) - [i132]Pingzhi Li, Xiaolong Jin, Yu Cheng, Tianlong Chen:
Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark. CoRR abs/2406.08155 (2024) - [i131]Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng:
MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts. CoRR abs/2406.11353 (2024) - [i130]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR abs/2406.19417 (2024) - [i129]Xinnan Zhang, Jialin Wu, Junyi Xie, Tianlong Chen, Kaixiong Zhou:
Benchmark on Drug Target Interaction Modeling from a Structure Perspective. CoRR abs/2407.04055 (2024) - [i128]Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen:
Composable Interventions for Language Models. CoRR abs/2407.06483 (2024) - [i127]Aditi Khandelwal, Harman Singh, Hengrui Gu, Tianlong Chen, Kaixiong Zhou:
Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach. CoRR abs/2407.10275 (2024) - [i126]Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen:
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs. CoRR abs/2407.11030 (2024) - [i125]Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding:
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR abs/2407.17126 (2024) - [i124]Tianjin Huang, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Shiwei Liu, Tianlong Chen:
(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork. CoRR abs/2407.17412 (2024) - [i123]Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen:
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network. CoRR abs/2407.17857 (2024) - [i122]Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni:
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR abs/2408.07057 (2024) - [i121]Pingzhi Li, Tianlong Chen, Junyu Liu:
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography. CoRR abs/2409.04637 (2024) - [i120]Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen:
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models. CoRR abs/2410.01795 (2024) - [i119]Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. CoRR abs/2410.02506 (2024) - [i118]Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen:
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR abs/2410.05357 (2024) - [i117]Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen:
Glider: Global and Local Instruction-Driven Expert Router. CoRR abs/2410.07172 (2024) - [i116]Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Kumar Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu:
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. CoRR abs/2410.07461 (2024) - [i115]Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen:
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. CoRR abs/2410.08245 (2024) - [i114]Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR abs/2410.09080 (2024) - [i113]Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal:
Adapt-∞: Scalable Lifelong Multimodal Instruction Tuning via Dynamic Data Selection. CoRR abs/2410.10636 (2024) - [i112]Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen:
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. CoRR abs/2410.10870 (2024) - [i111]Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang:
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. CoRR abs/2410.13761 (2024) - [i110]Jie Peng, Zhang Cao, Huaizhi Qu, Zhengyu Zhang, Chang Guo, Yanyong Zhang, Zhichao Cao, Tianlong Chen:
Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching. CoRR abs/2410.14740 (2024) - [i109]Ruichen Zhang, Yuguang Yao, Zhen Tan, Zhiming Li, Pan Wang, Huan Liu, Jingtong Hu, Sijia Liu, Tianlong Chen:
FairSkin: Fair Diffusion for Skin Disease Image Generation. CoRR abs/2410.22551 (2024) - [i108]Shuqing Luo, Jie Peng, Pingzhi Li, Tianlong Chen:
HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy. CoRR abs/2411.01288 (2024) - [i107]Yang Hu, Xiao Wang, Lirong Wu, Huatian Zhang, Stan Z. Li, Sheng Wang, Tianlong Chen:
FM-TS: Flow Matching for Time Series Generation. CoRR abs/2411.07506 (2024) - [i106]Sizhe Wang, Yongqi Tong, Hengyuan Zhang, Dawei Li, Xin Zhang, Tianlong Chen:
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment. CoRR abs/2411.10914 (2024) - [i105]Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding:
Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. CoRR abs/2411.17073 (2024) - [i104]Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Tianlong Chen, Yu Cheng:
Accelerating Vision Diffusion Transformers with Skip Branches. CoRR abs/2411.17616 (2024) - [i103]Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen:
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. CoRR abs/2412.00245 (2024) - [i102]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - [i101]Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu:
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis. CoRR abs/2412.12225 (2024) - [i100]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR abs/2412.17404 (2024) - 2023
- [j11]Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. 47(2): 80-95 (2023) - [j10]Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen:
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance. Int. J. Comput. Vis. 131(10): 2635-2648 (2023) - [j9]Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting image segmentation models with human-in-the-loop. Mach. Learn. 112(3): 1033-1051 (2023) - [j8]Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2769-2781 (2023) - [j7]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can Pruning Improve Certified Robustness of Neural Networks? Trans. Mach. Learn. Res. 2023 (2023) - [c99]Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI 2023: 8360-8368 - [c98]Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng:
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. ACL (1) 2023: 8208-8222 - [c97]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. AISTATS 2023: 9807-9825 - [c96]Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang:
Accelerable Lottery Tickets with the Mixed-Precision Quantization. CVPR Workshops 2023: 4604-4612 - [c95]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV 2023: 90-101 - [c94]Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang:
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. ICCV 2023: 3170-3181 - [c93]Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li:
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. ICCV 2023: 17300-17311 - [c92]Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans:
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. ICLR 2023 - [c91]Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang:
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. ICLR 2023 - [c90]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR 2023 - [c89]Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang:
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR 2023 - [c88]Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Is Attention All That NeRF Needs? ICLR 2023 - [c87]Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang:
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. ICLR 2023 - [c86]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
Graph Domain Adaptation via Theory-Grounded Spectral Regularization. ICLR 2023 - [c85]Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang:
Learning to Optimize Differentiable Games. ICML 2023: 5036-5051 - [c84]Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. ICML 2023: 14679-14690 - [c83]Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. ICML 2023: 14691-14701 - [c82]Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang:
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. NeurIPS 2023 - [c81]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS 2023 - [c80]Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy:
Enhancing Adversarial Training via Reweighting Optimization Trajectory. ECML/PKDD (1) 2023: 113-130 - [c79]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE 2023: 51-62 - [c78]Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV 2023: 4976-4985 - [i99]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. CoRR abs/2302.11085 (2023) - [i98]Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang:
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. CoRR abs/2303.00039 (2023) - [i97]Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang:
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. CoRR abs/2303.01610 (2023) - [i96]Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang:
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! CoRR abs/2303.02141 (2023) - [i95]Zehao Wang, Long-Kun Shan, Tong-Tian Weng, Tian-Long Chen, Qi-Yu Wang, Xiang-Dong Chen, Zhang-Yang Wang, Guang-Can Guo, Fang-Wen Sun:
Learning imaging mechanism directly from optical microscopy observations. CoRR abs/2304.12584 (2023) - [i94]Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang:
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. CoRR abs/2306.03805 (2023) - [i93]Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR abs/2306.10460 (2023) - [i92]Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR abs/2306.10466 (2023) - [i91]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. CoRR abs/2306.14048 (2023) - [i90]Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy:
Enhancing Adversarial Training via Reweighting Optimization Trajectory. CoRR abs/2306.14275 (2023) - [i89]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR abs/2308.10110 (2023) - [i88]Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang:
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. CoRR abs/2308.11793 (2023) - [i87]Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. CoRR abs/2310.01334 (2023) - [i86]Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng:
SiRA: Sparse Mixture of Low Rank Adaptation. CoRR abs/2311.09179 (2023) - [i85]Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu:
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR abs/2311.16503 (2023) - [i84]Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang:
Rethinking PGD Attack: Is Sign Function Necessary? CoRR abs/2312.01260 (2023) - [i83]Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen:
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. CoRR abs/2312.01397 (2023) - [i82]Tianjin Huang, Tianlong Chen, Zhangyang Wang, Shiwei Liu:
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need. CoRR abs/2312.05695 (2023) - [i81]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. CoRR abs/2312.15033 (2023) - 2022
- [j6]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. 23: 189:1-189:59 (2022) - [j5]Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang:
Adversarial Feature Augmentation and Normalization for Visual Recognition. Trans. Mach. Learn. Res. 2022 (2022) - [j4]Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. Trans. Mach. Learn. Res. 2022 (2022) - [j3]Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Can You Win Everything with A Lottery Ticket? Trans. Mach. Learn. Res. 2022 (2022) - [j2]Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. 27(5): 50:1-50:20 (2022) - [j1]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 8: 12-24 (2022) - [c77]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu:
Playing Lottery Tickets with Vision and Language. AAAI 2022: 652-660 - [c76]Duc N. M. Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks. AutoML 2022: 4/1-16 - [c75]Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang:
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CVPR 2022: 588-599 - [c74]Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang:
CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. CVPR 2022: 10976-10986 - [c73]Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang:
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CVPR 2022: 12010-12020 - [c72]Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang:
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CVPR 2022: 15170-15181 - [c71]Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang:
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction. ECCV (3) 2022: 156-172 - [c70]Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang:
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) 2022: 239-256 - [c69]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang:
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. ECCV (23) 2022: 389-405 - [c68]Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang:
Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis. ICASSP 2022: 8022-8026 - [c67]Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang:
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. ICLR 2022 - [c66]Shaojin Ding, Tianlong Chen, Zhangyang Wang:
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable. ICLR 2022 - [c65]Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Optimizer Amalgamation. ICLR 2022 - [c64]Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR 2022 - [c63]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy:
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR 2022 - [c62]Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang:
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining. ICLR 2022 - [c61]Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang:
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. ICLR 2022 - [c60]Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How. ICLR 2022 - [c59]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. ICLR 2022 - [c58]Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang:
Symbolic Learning to Optimize: Towards Interpretability and Scalability. ICLR 2022 - [c57]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML 2022: 3025-3039 - [c56]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang:
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. ICML 2022: 3747-3759 - [c55]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML 2022: 3760-3772 - [c54]Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang:
Training Your Sparse Neural Network Better with Any Mask. ICML 2022: 9833-9844 - [c53]William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra:
Universality of Winning Tickets: A Renormalization Group Perspective. ICML 2022: 18483-18498 - [c52]Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang:
Neural Implicit Dictionary Learning via Mixture-of-Expert Training. ICML 2022: 22613-22624 - [c51]Yongduo Sui, Tianlong Chen, Pengfei Xia, Shuyao Wang, Bin Li:
Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training. IJCNN 2022: 1-8 - [c50]Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu:
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG 2022: 8 - [c49]Ruisi Cai, Zhenyu Zhang, Tianlong Chen, Xiaohan Chen, Zhangyang Wang:
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets. NeurIPS 2022 - [c48]Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS 2022 - [c47]Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang:
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS 2022 - [c46]Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang:
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. NeurIPS 2022 - [c45]Mukund Varma T., Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS 2022 - [c44]Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang:
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. NeurIPS 2022 - [c43]Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu:
Advancing Model Pruning via Bi-level Optimization. NeurIPS 2022 - [c42]Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang:
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity. WACV 2022: 2957-2967 - [c41]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. WSDM 2022: 1300-1309 - [i80]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. CoRR abs/2201.01702 (2022) - [i79]Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang:
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. CoRR abs/2201.06618 (2022) - [i78]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy:
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR abs/2202.02643 (2022) - [i77]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. CoRR abs/2202.04736 (2022) - [i76]Tianlong Chen, Zhenyu Zhang, Pengjun Wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang:
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training. CoRR abs/2202.09844 (2022) - [i75]Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen:
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance. CoRR abs/2203.02770 (2022) - [i74]Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang:
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. CoRR abs/2203.05962 (2022) - [i73]Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang:
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. CoRR abs/2203.06345 (2022) - [i72]Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Optimizer Amalgamation. CoRR abs/2203.06474 (2022) - [i71]Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang:
Symbolic Learning to Optimize: Towards Interpretability and Scalability. CoRR abs/2203.06578 (2022) - [i70]Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang:
Unified Visual Transformer Compression. CoRR abs/2203.08243 (2022) - [i69]Diganta Misra, Bharat Runwal, Tianlong Chen, Zhangyang Wang, Irina Rish:
APP: Anytime Progressive Pruning. CoRR abs/2204.01640 (2022) - [i68]Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang:
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CoRR abs/2205.11819 (2022) - [i67]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang:
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. CoRR abs/2206.04762 (2022) - [i66]Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang:
Can pruning improve certified robustness of neural networks? CoRR abs/2206.07311 (2022) - [i65]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. CoRR abs/2206.07839 (2022) - [i64]Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. CoRR abs/2206.07842 (2022) - [i63]Ajay Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang:
Training Your Sparse Neural Network Better with Any Mask. CoRR abs/2206.12755 (2022) - [i62]Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang:
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CoRR abs/2207.01164 (2022) - [i61]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR abs/2207.03620 (2022) - [i60]Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang:
Neural Implicit Dictionary via Mixture-of-Expert Training. CoRR abs/2207.03691 (2022) - [i59]Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang:
Is Attention All NeRF Needs? CoRR abs/2207.13298 (2022) - [i58]Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zhangyang Wang:
Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer? CoRR abs/2209.07026 (2022) - [i57]Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang:
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. CoRR abs/2210.03801 (2022) - [i56]Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu:
Advancing Model Pruning via Bi-level Optimization. CoRR abs/2210.04092 (2022) - [i55]Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR abs/2210.07494 (2022) - [i54]Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang:
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR abs/2210.08122 (2022) - [i53]Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang:
M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. CoRR abs/2210.14793 (2022) - [i52]Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu:
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. CoRR abs/2211.07379 (2022) - [i51]Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. CoRR abs/2211.10801 (2022) - [i50]Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu:
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. CoRR abs/2211.15335 (2022) - [i49]Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR abs/2212.02675 (2022) - 2021
- [c40]Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi:
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. BHI 2021: 1-4 - [c39]Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. CVPR Workshops 2021: 4619-4629 - [c38]Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting Blind Image Quality Models in the Wild. CVPR 2021: 16256-16265 - [c37]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. CVPR 2021: 16306-16316 - [c36]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP 2021: 4900-4904 - [c35]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Robust Overfitting may be mitigated by properly learned smoothening. ICLR 2021 - [c34]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning. ICLR 2021 - [c33]Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen:
GANs Can Play Lottery Tickets Too. ICLR 2021 - [c32]Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Undistillable: Making A Nasty Teacher That CANNOT teach students. ICLR 2021 - [c31]Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang:
Learning A Minimax Optimizer: A Pilot Study. ICLR 2021 - [c30]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML 2021: 1695-1706 - [c29]Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. ICML 2021: 4927-4939 - [c28]Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning Automated. ICML 2021: 12121-12132 - [c27]Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang:
Efficient Lottery Ticket Finding: Less Data is More. ICML 2021: 12380-12390 - [c26]Mingkang Zhu, Tianlong Chen, Zhangyang Wang:
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. ICML 2021: 12868-12877 - [c25]Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang:
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. NeurIPS 2021: 1780-1791 - [c24]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling. NeurIPS 2021: 5997-6009 - [c23]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. NeurIPS 2021: 9908-9922 - [c22]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021: 12749-12760 - [c21]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. NeurIPS 2021: 19974-19988 - [c20]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective. NeurIPS 2021: 20941-20955 - [i48]Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Good Students Play Big Lottery Better. CoRR abs/2101.03255 (2021) - [i47]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR abs/2102.06790 (2021) - [i46]Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang:
Sandwich Batch Normalization. CoRR abs/2102.11382 (2021) - [i45]Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang:
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly. CoRR abs/2103.00397 (2021) - [i44]Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu:
Adversarial Feature Augmentation and Normalization for Visual Recognition. CoRR abs/2103.12171 (2021) - [i43]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. CoRR abs/2103.12828 (2021) - [i42]Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization. CoRR abs/2104.08215 (2021) - [i41]Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj:
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. CoRR abs/2104.11101 (2021) - [i40]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu:
Playing Lottery Tickets with Vision and Language. CoRR abs/2104.11832 (2021) - [i39]Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting Blind Image Quality Models in the Wild. CoRR abs/2105.06747 (2021) - [i38]Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Undistillable: Making A Nasty Teacher That CANNOT teach students. CoRR abs/2105.07381 (2021) - [i37]Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen:
GANs Can Play Lottery Tickets Too. CoRR abs/2106.00134 (2021) - [i36]Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. CoRR abs/2106.02990 (2021) - [i35]Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang:
Efficient Lottery Ticket Finding: Less Data is More. CoRR abs/2106.03225 (2021) - [i34]Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang:
Chasing Sparsity in Vision Transformers: An End-to-End Exploration. CoRR abs/2106.04533 (2021) - [i33]Mingkang Zhu, Tianlong Chen, Zhangyang Wang:
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. CoRR abs/2106.06027 (2021) - [i32]Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning Automated. CoRR abs/2106.07594 (2021) - [i31]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR abs/2106.10404 (2021) - [i30]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR abs/2106.13358 (2021) - [i29]Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu:
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR abs/2106.14568 (2021) - [i28]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR abs/2107.00166 (2021) - [i27]Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR abs/2107.07706 (2021) - [i26]Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR abs/2108.10521 (2021) - [i25]William T. Redman, Tianlong Chen, Akshunna S. Dogra, Zhangyang Wang:
Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective. CoRR abs/2110.03210 (2021) - [i24]Mu Yang, Shaojin Ding, Tianlong Chen, Tong Wang, Zhangyang Wang:
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis. CoRR abs/2110.04482 (2021) - [i23]Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang:
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR abs/2110.14855 (2021) - [i22]Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah:
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. CoRR abs/2111.00160 (2021) - [i21]Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang:
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. CoRR abs/2111.00162 (2021) - [i20]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. CoRR abs/2111.01004 (2021) - 2020
- [c19]Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CVPR 2020: 696-705 - [c18]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. CVPR 2020: 2124-2132 - [c17]Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang:
Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. CVPR Workshops 2020: 3791-3798 - [c16]Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin:
HALO: Hardware-Aware Learning to Optimize. ECCV (9) 2020: 500-518 - [c15]Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang:
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. ICLR 2020 - [c14]Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. ICLR 2020 - [c13]Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang:
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. ICML 2020: 1510-1519 - [c12]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
When Does Self-Supervision Help Graph Convolutional Networks? ICML 2020: 10871-10880 - [c11]Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang:
AutoSpeech: Neural Architecture Search for Speaker Recognition. INTERSPEECH 2020: 916-920 - [c10]Xiaojing Yu, Tianlong Chen, Zhengjie Yu, Huiyu Li, Yang Yang, Xiaoqian Jiang, Anxiao Jiang:
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing. LREC 2020: 5829-5837 - [c9]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. NeurIPS 2020 - [c8]Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang:
Training Stronger Baselines for Learning to Optimize. NeurIPS 2020 - [c7]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Robust Pre-Training by Adversarial Contrastive Learning. NeurIPS 2020 - [c6]Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang:
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. NeurIPS 2020 - [c5]Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen:
Graph Contrastive Learning with Augmentations. NeurIPS 2020 - [c4]Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua:
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. WACV 2020: 3578-3587 - [i19]Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang:
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. CoRR abs/2002.10025 (2020) - [i18]Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. CoRR abs/2002.10648 (2020) - [i17]Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CoRR abs/2003.12862 (2020) - [i16]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. CoRR abs/2003.13606 (2020) - [i15]Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang:
AutoSpeech: Neural Architecture Search for Speaker Recognition. CoRR abs/2005.03215 (2020) - [i14]Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang:
Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. CoRR abs/2005.10979 (2020) - [i13]Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
When Does Self-Supervision Help Graph Convolutional Networks? CoRR abs/2006.09136 (2020) - [i12]Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang:
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. CoRR abs/2006.11280 (2020) - [i11]Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang:
Can 3D Adversarial Logos Cloak Humans? CoRR abs/2006.14655 (2020) - [i10]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. CoRR abs/2007.12223 (2020) - [i9]Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang:
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning. CoRR abs/2010.02529 (2020) - [i8]Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang:
Training Stronger Baselines for Learning to Optimize. CoRR abs/2010.09089 (2020) - [i7]Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang:
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. CoRR abs/2010.11828 (2020) - [i6]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Robust Pre-Training by Adversarial Contrastive Learning. CoRR abs/2010.13337 (2020) - [i5]Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen:
Graph Contrastive Learning with Augmentations. CoRR abs/2010.13902 (2020) - [i4]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models. CoRR abs/2012.06908 (2020)
2010 – 2019
- 2019
- [c3]Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang:
ABD-Net: Attentive but Diverse Person Re-Identification. ICCV 2019: 8350-8360 - [c2]Xiaojing Yu, Tianlong Chen, Yang Yang, Michael Mugo, Zhangyang Wang:
Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching. ICCV Workshops 2019: 1799-1804 - [c1]Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Learning to Optimize in Swarms. NeurIPS 2019: 15018-15028 - [i3]Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang:
ABD-Net: Attentive but Diverse Person Re-Identification. CoRR abs/1908.01114 (2019) - [i2]Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Learning to Optimize in Swarms. CoRR abs/1911.03787 (2019) - [i1]Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua:
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. CoRR abs/1911.11314 (2019)
Coauthor Index
Ajay Jaiswal
aka: Ajay Kumar Jaiswal
aka: Ajay Kumar Jaiswal
[c183] [j18] [c180] [c177] [c171] [c170] [c169] [c164] [c161] [c159] [c154] [c153] [c152] [c150] [c139] [i227] [i225] [i216] [i212] [i210] [i208] [i206] [i205] [i198] [i196] [i194] [i191] [i189] [i187] [i180] [i176] [i173] [i172] [i170] [i168] [i166] [i164] [i162] [i161] [i158] [i156] [c130] [c124] [c122] [c121] [c120] [c107] [c100] [i150] [i147] [i144] [i143] [i141] [i140] [i136] [i134] [i130] [i126] [i120] [i109] [i105] [i100] [i81]
Zhangyang Wang
aka: Zhang-Yang Wang
aka: Zhang-Yang Wang
[c181] [c163] [c162] [c157] [i224] [i223] [i218] [i214] [i209] [i207] [i200] [i195] [i169] [i163] [j13] [c128] [c127] [c111] [c110] [c102] [i152] [i149] [i145] [i118] [j11] [j9] [j8] [j7] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c79] [c78] [i99] [i98] [i97] [i96] [i95] [i94] [i93] [i92] [i91] [i89] [i88] [i84] [i82] [j6] [j5] [j4] [j3] [j2] [j1] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [i80] [i79] [i78] [i77] [i76] [i74] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i39] [i38] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i22] [i21] [i20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c9] [c8] [c7] [c6] [c5] [c4] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [c3] [c2] [c1] [i3] [i2] [i1]
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