default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJiashuo Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2026
[j14]Yuxuan Yu, Yuzhuo Fang, Hua Tong, Jiashuo Liu, Yongjie Jessica Zhang
:
DDPM-Polycube: a denoising diffusion probabilistic model for polycube-based hexahedral mesh generation and volumetric spline construction. Eng. Comput. 42(1): 1 (2026)- [j13]Jiashuo Liu, ManMan Li, Jiongjiong Ren, Shaozhen Chen:
A Highly Efficient Neural Distinguisher Framework for IoT-Friendly Lightweight SPN Block Ciphers. IEICE Trans. Inf. Syst. 109(2): 238-248 (2026) - [i41]Jiashuo Liu, Siyuan Chen, Zaiyuan Wang, Zhiyuan Zeng, Jiacheng Guo, Liang Hu, Lingyue Yin, Suozhi Huang, Wenxin Hao, Yang Yang, Zerui Cheng, Zixin Yao, Lingyue Yin, Haoxin Liu, Jiayi Cheng, Yuzhen Li, Zezhong Ma, Bingjie Wang, Bingsen Qiu, Xiao Liu, Zeyang Zhang, Zijian Liu, Jinpeng Wang, Mingren Yin, Tianci He, Yali Liao, Yixiao Tian, Zhenwei Zhu, Anqi Dai, Ge Zhang, Jingkai Liu, Kaiyuan Zhang, Wenlong Wu, Xiang Gao, Xinjie Chen, Zhixin Yao, Zhoufutu Wen, B. Aditya Prakash, Jose Blanchet, Mengdi Wang, Nian Si, Wenhao Huang:
FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains. CoRR abs/2601.12259 (2026) - 2025
- [j12]Yilin Lin, Hao Jiang, Jiashuo Liu, Gang Sun, Yuhan Zhang, Bin Cao:
Blockchain-Based Byzantine-Resilient Dynamic Spectrum Sharing. IEEE Internet Things J. 12(23): 50315-50325 (2025) - [j11]Jiashuo Liu, Haowen Tan, Cuiqin Ma:
Robust Bipartite Output Regulation with Time Delays: An Internal Model Principle Based Approach. J. Syst. Sci. Complex. 38(4): 1614-1629 (2025) - [j10]Cui-Qin Ma, Jiashuo Liu, Yu Kang, Yun-Bo Zhao:
Node-to-Node Fault-Tolerant Control of Layered Multiagent Systems Under Deception Attack. IEEE Trans. Control. Netw. Syst. 12(4): 3086-3095 (2025) - [j9]Zimu Wang, Hao Zou, Jiashuo Liu, Jiayun Wu, Pengfei Tian, Yue He, Peng Cui:
AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments. ACM Trans. Knowl. Discov. Data 19(2): 29:1-29:39 (2025) - [j8]Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui:
Exploring and Exploiting Data Heterogeneity in Recommendation. ACM Trans. Knowl. Discov. Data 19(6): 1-34 (2025) - [j7]Jiaxun Liu, Dong Wang, Jiashuo Liu, Xiwang Dong:
Distributed Proportional-Integral Algorithms for Multiple Coalition Games Under Limited Communication Resources. IEEE Trans. Signal Inf. Process. over Networks 11: 450-459 (2025) - [c27]Ajit G. Pillai, Renxuan Liu, Jung-Joo Lee, Janghee Cho, Insun Baek, Adrian Choi, Kevin Doherty, Christopher Ferguson, Ruipu Hu, Sarah Kettley, Seonghoon Kim, Jiashuo Liu, Tse Pei Ng, Adrian Petterson, Matt Ratto, Celeste Seah, Yiming Yao, Yiying Wu:
Speculating and Disentangling the Relationship Between Technology and Care Work. Conference on Designing Interactive Systems (Companion Volume) 2025: 433-439 - [c26]Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar:
Going Beyond Static: Understanding Shifts with Time-Series Attribution. ICLR 2025 - [c25]Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong:
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. ICML 2025 - [c24]Jiashuo Liu, Peng Cui:
Data Heterogeneity Modeling for Trustworthy Machine Learning. KDD (2) 2025: 6086-6095 - [c23]Jiashuo Liu, Chenjian Chu, Xiaohui Cao, Junjie Kuang:
Seeing in the Noisy Dark: A New Real-world Benchmark and An Efficient Method for Extreme Low-light Image Enhancement. MMAsia Workshops 2025: 2:1-2:7 - [i40]Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar:
Towards Human-Guided, Data-Centric LLM Co-Pilots. CoRR abs/2501.10321 (2025) - [i39]Han Yu, Jiashuo Liu, Hao Zou, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui:
Error Slice Discovery via Manifold Compactness. CoRR abs/2501.19032 (2025) - [i38]Yuxuan Yu, Yuzhuo Fang, Hua Tong, Jiashuo Liu, Yongjie Jessica Zhang:
DDPM-Polycube: A Denoising Diffusion Probabilistic Model for Polycube-Based Hexahedral Mesh Generation and Volumetric Spline Construction. CoRR abs/2503.13541 (2025) - [i37]Jiashuo Liu, Tianyu Wang, Henry Lam, Hongseok Namkoong, Jose H. Blanchet:
DRO: A Python Library for Distributionally Robust Optimization in Machine Learning. CoRR abs/2505.23565 (2025) - [i36]Jiashuo Liu, Peng Cui:
Data Heterogeneity Modeling for Trustworthy Machine Learning. CoRR abs/2506.00969 (2025) - [i35]Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Jinpeng Wang, Zaiyuan Wang, Yang Yang, Lingyue Yin, Mingren Yin, Zhenwei Zhu, Tianle Cai, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Shuang Ni, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, Xin Zhou, Jose H. Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang:
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction. CoRR abs/2508.11987 (2025) - [i34]Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zimu Wang, Zhenlei Wang, Peng Cui:
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence. CoRR abs/2509.03505 (2025) - [i33]Liang Hu, Jianpeng Jiao, Jiashuo Liu, Yanle Ren, Zhoufutu Wen, Kaiyuan Zhang, Xuanliang Zhang, Xiang Gao, Tianci He, Fei Hu, Yali Liao, Zaiyuan Wang, Chenghao Yang, Qianyu Yang, Mingren Yin, Zhiyuan Zeng, Ge Zhang, Xinyi Zhang, Xiying Zhao, Zhenwei Zhu, Hongseok Namkoong, Wenhao Huang, Yuwen Tang:
FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning. CoRR abs/2509.13160 (2025) - [i32]Nabeel Seedat, Jiashuo Liu, Mihaela van der Schaar:
What's the next frontier for Data-centric AI? Data Savvy Agents. CoRR abs/2511.01015 (2025) - [i31]Zhiyuan Zeng, Jiashuo Liu, Zhangyue Yin, Ge Zhang, Wenhao Huang, Xipeng Qiu:
RLoop: An Self-Improving Framework for Reinforcement Learning with Iterative Policy Initialization. CoRR abs/2511.04285 (2025) - [i30]Liya Zhu, Peizhuang Cong, Aowei Ji, Wenya Wu, Jiani Hou, Chunjie Wu, Xiang Gao, Jingkai Liu, Zhou Huan, Xuelei Sun, Yang Yang, Jianpeng Jiao, Liang Hu, Xinjie Chen, Jiashuo Liu, Jingzhe Ding, Tong Yang, Zaiyuan Wang, Ge Zhang, Wenhao Huang:
LPFQA: A Long-Tail Professional Forum-based Benchmark for LLM Evaluation. CoRR abs/2511.06346 (2025) - [i29]Xiying Zhao, Zhoufutu Wen, Zhixuan Chen, Jingzhe Ding, Jianpeng Jiao, Shuai Li, Xi Li, Danni Liang, Shengda Long, Qianqian Liu, Xianbo Wu, Hongwan Gao, Xiang Gao, Liang Hu, Jiashuo Liu, Mengyun Liu, Weiran Shi, Chenghao Yang, Qianyu Yang, Xuanliang Zhang, Ge Zhang, Wenhao Huang, Yuwen Tang:
DiscoX: Benchmarking Discourse-Level Translation task in Expert Domains. CoRR abs/2511.10984 (2025) - [i28]Jiacheng Guo, Suozhi Huang, Zixin Yao, Yifan Zhang, Yifu Lu, Jiashuo Liu, Zihao Li, Nicholas Deng, Qixin Xiao, Jia Tian, Kanghong Zhan, Tianyi Li, Xiaochen Liu, Jason Ge, Chaoyang He, Kaixuan Huang, Lin Yang, Wenhao Huang, Mengdi Wang:
CryptoBench: A Dynamic Benchmark for Expert-Level Evaluation of LLM Agents in Cryptocurrency. CoRR abs/2512.00417 (2025) - [i27]Jiayun Wu, Jiashuo Liu, Zhiyuan Zeng, Tianyang Zhan, Tianle Cai, Wenhao Huang:
Mitigating LLM Hallucination via Behaviorally Calibrated Reinforcement Learning. CoRR abs/2512.19920 (2025) - [i26]Jiashuo Liu, Jiayun Wu, Chunjie Wu, Jingkai Liu, Zaiyuan Wang, Zhou Huan, Wenhao Huang, Hongseok Namkoong:
LLM Swiss Round: Aggregating Multi-Benchmark Performance via Competitive Swiss-System Dynamics. CoRR abs/2512.21010 (2025) - [i25]Titouan Duston, Shuo Xin, Yang Sun, Daoguang Zan, Aoyan Li, Shulin Xin, Kai Shen, Yixiao Chen, Qiming Sun, Ge Zhang, Jiashuo Liu, Huan Zhou, Jingkai Liu, Zhichen Pu, Yuanheng Wang, Bo-Xuan Ge, Xin Tong, Fei Ye, Zhi-Chao Zhao, Wen-Biao Han, Zhoujian Cao, Yueran Zhao, Weiluo Ren, Qingshen Long, Yuxiao Liu, Anni Huang, Yidi Du, Yuanyuan Rong, Jiahao Peng:
AInsteinBench: Benchmarking Coding Agents on Scientific Repositories. CoRR abs/2512.21373 (2025) - 2024
- [j6]Jiashuo Liu, Cui-Qin Ma, Yun-Bo Zhao, Yu Kang:
Robust Bipartite Output Regulation of Linear Uncertain Multi-Agent Systems Under Observer-Based Protocols. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 340-344 (2024) - [c22]Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui:
Enhancing Distributional Stability among Sub-populations. AISTATS 2024: 2125-2133 - [c21]Yiying Wu, Jung-Joo Lee, Ajit G. Pillai, Janghee Cho, Naseem Ahmadpour, Virpi Roto, Thida Sachathep, Jiashuo Liu, Mouna Sawan, Dongjin Song, Martina Caic, Lucas Cheng, Renxuan Liu, Sarah Kettley, Luis Soares, Kazjon Grace, Thomas Astell-Burt:
Collective Imaginaries for the Futures of Care Work. CSCW Companion 2024: 732-735 - [c20]Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui:
Rethinking the Evaluation Protocol of Domain Generalization. CVPR 2024: 21897-21908 - [c19]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CVPR 2024: 22797-22808 - [c18]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR 2024 - [c17]José H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu:
Stability Evaluation through Distributional Perturbation Analysis. ICML 2024: 4140-4159 - [c16]Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui:
Domain-wise Data Acquisition to Improve Performance under Distribution Shift. ICML 2024: 17934-17945 - [c15]Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui:
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. ICML 2024: 32184-32200 - [c14]Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu:
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD 2024: 4631-4640 - [c13]Jiayun Wu, Jiashuo Liu, Peng Cui, Steven Wu:
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. NeurIPS 2024 - [i24]Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui:
A Survey on Evaluation of Out-of-Distribution Generalization. CoRR abs/2403.01874 (2024) - [i23]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR abs/2403.06392 (2024) - [i22]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR abs/2403.06606 (2024) - [i21]Jose H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu:
Stability Evaluation via Distributional Perturbation Analysis. CoRR abs/2405.03198 (2024) - [i20]Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu:
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. CoRR abs/2406.00661 (2024) - [i19]Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong:
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. CoRR abs/2406.01066 (2024) - [i18]Yibo Zeng, Jiashuo Liu, Henry Lam, Hongseok Namkoong:
LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts. CoRR abs/2410.07395 (2024) - 2023
- [j5]Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen:
A deep learning aided differential distinguisher improvement framework with more lightweight and universality. Cybersecur. 6(1): 47 (2023) - [j4]Ye Chen, Yuyan Wang, Ping Zhou, Hao Huang, Rui Li, Zhen Zeng, Zifeng Cui, Rui Tian, Zhuang Jin, Jiashuo Liu, Zhaoyue Huang, Lifang Li, Zheying Huang, Xun Tian, Meiying Yu, Zheng Hu:
VIS Atlas: A Database of Virus Integration Sites in Human Genome from NGS Data to Explore Integration Patterns. Genom. Proteom. Bioinform. 21(2): 300-310 (2023) - [j3]Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen, ManMan Li:
Improved neural distinguishers with multi-round and multi-splicing construction. J. Inf. Secur. Appl. 74: 103461 (2023) - [j2]Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li:
Distributionally Robust Learning With Stable Adversarial Training. IEEE Trans. Knowl. Data Eng. 35(11): 11288-11300 (2023) - [c12]Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui:
Measure the Predictive Heterogeneity. ICLR 2023 - [c11]Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong:
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. NeurIPS 2023 - [c10]Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui:
Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. WWW 2023: 1220-1230 - [i17]Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui:
Predictive Heterogeneity: Measures and Applications. CoRR abs/2304.00305 (2023) - [i16]Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui:
Rethinking the Evaluation Protocol of Domain Generalization. CoRR abs/2305.15253 (2023) - [i15]Zimu Wang, Jiashuo Liu, Hao Zou, Xingxuan Zhang, Yue He, Dongxu Liang, Peng Cui:
Exploring and Exploiting Data Heterogeneity in Recommendation. CoRR abs/2305.15431 (2023) - [i14]Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu:
Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR abs/2305.15644 (2023) - [i13]Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu:
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR abs/2306.15955 (2023) - [i12]Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong:
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets. CoRR abs/2307.05284 (2023) - [i11]Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui:
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. CoRR abs/2311.05054 (2023) - 2022
- [j1]Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang:
Triple Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9629-9640 (2022) - [c9]Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui:
Invariant Preference Learning for General Debiasing in Recommendation. KDD 2022: 1969-1978 - [c8]Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui:
Distributionally Robust Optimization with Data Geometry. NeurIPS 2022 - [i10]Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li:
Towards Domain Generalization in Object Detection. CoRR abs/2203.14387 (2022) - [i9]Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui:
Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR abs/2206.02990 (2022) - [i8]Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen, ManMan Li:
Improved Neural Distinguishers with Multi-Round and Multi-Splicing Construction. IACR Cryptol. ePrint Arch. 2022: 1279 (2022) - [i7]Jiashuo Liu, Jiongjiong Ren, Shaozhen Chen:
Effective Network Parameter Reduction Schemes for Neural Distinguisher. IACR Cryptol. ePrint Arch. 2022: 1765 (2022) - 2021
- [c7]Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin:
Stable Adversarial Learning under Distributional Shifts. AAAI 2021: 8662-8670 - [c6]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Heterogeneous Risk Minimization. ICML 2021: 6804-6814 - [c5]Haoxin Liu, Ziwei Zhang, Peng Cui, Yafeng Zhang, Qiang Cui, Jiashuo Liu, Wenwu Zhu:
Signed Graph Neural Network with Latent Groups. KDD 2021: 1066-1075 - [c4]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Kernelized Heterogeneous Risk Minimization. NeurIPS 2021: 21720-21731 - [i6]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Heterogeneous Risk Minimization. CoRR abs/2105.03818 (2021) - [i5]Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li:
Distributionally Robust Learning with Stable Adversarial Training. CoRR abs/2106.15791 (2021) - [i4]Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui:
Towards Out-Of-Distribution Generalization: A Survey. CoRR abs/2108.13624 (2021) - [i3]Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Kernelized Heterogeneous Risk Minimization. CoRR abs/2110.12425 (2021) - 2020
- [c3]Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen:
Stable Learning via Differentiated Variable Decorrelation. KDD 2020: 2185-2193 - [i2]Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin:
Invariant Adversarial Learning for Distributional Robustness. CoRR abs/2006.04414 (2020)
2010 – 2019
- 2019
- [i1]Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang:
Triple Generative Adversarial Networks. CoRR abs/1912.09784 (2019) - 2016
- [c2]Ziyu Wen, Jisheng Li, Jiashuo Liu, Yikai Zhao, Jiangtao Wen:
Intra Frame Flicker Reduction for Parallelized HEVC Encoding. DCC 2016: 111-120 - [c1]Ziyu Wen, Bichuan Quo, Jiashuo Liu, Jisheng Li, Yao Lu, Jiangtao Wen:
Novel 3D-WPP algorithms for parallel HEVC encoding. ICASSP 2016: 1471-1475
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-02-26 23:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
