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ORCIDYifei Shen 0004
Person information
- affiliation: Hong Kong University of Science and Technology, Hong Kong, SAR, China
Other persons with the same name
- Yifei Shen — disambiguation page
- Yifei Shen 0001
![[0000-0003-2720-724X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2720-724X")
— University of Texas MD Anderson Cancer Center, TX, USA - Yifei Shen 0002 — Yale University, CT, USA
- Yifei Shen 0003 — École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Yifei Shen 0005 — Shanghai University of Engineering Science, Shanghai, China
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2020 – today
- 2025
[c30]Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan:
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. ICLR 2025- [c29]Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li:
What Makes a Good Diffusion Planner for Decision Making? ICLR 2025 - [c28]Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han:
Habitizing Diffusion Planning for Efficient and Effective Decision Making. ICML 2025 - [c27]Yida Wang, Yu Lu, Yuxuan Zhou, Yifei Shen, Lili Qiu, Zeyuan Lai, Yi-Chao Chen, Hao Pan, Juntao Zhou, Dian Ding, Mei Wang, Guangtao Xue, Qian Zhang:
High-resolution mmWave Imaging using Metasurface and Diffusion. MobiSys 2025: 319-332 - [i33]Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Toward Relative Positional Encoding in Spiking Transformers. CoRR abs/2501.16745 (2025) - [i32]Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han:
Habitizing Diffusion Planning for Efficient and Effective Decision Making. CoRR abs/2502.06401 (2025) - [i31]Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li:
What Makes a Good Diffusion Planner for Decision Making? CoRR abs/2503.00535 (2025) - [i30]Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Yifei Shen, Dongqi Han, Caihua Shan, Muhammad Muaz, Lili Qiu:
VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL. CoRR abs/2510.02282 (2025) - 2024
- [j10]Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief:
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. IEEE Commun. Mag. 62(10): 140-146 (2024) - [j9]Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying, Caihua Shan, Yifei Shen, Xuanyi Dong, Yun Wang, Dongsheng Li, Cairong Zhao:
Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7556-7573 (2024) - [j8]Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao:
Learning Domain Invariant Prompt for Vision-Language Models. IEEE Trans. Image Process. 33: 1348-1360 (2024) - [c26]Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang:
LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. EMNLP (Findings) 2024: 12806-12816 - [c25]Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li:
Training-free Multi-objective Diffusion Model for 3D Molecule Generation. ICLR 2024 - [c24]Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li:
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. KDD 2024: 433-444 - [c23]Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li:
Understanding and Improving Training-free Loss-based Diffusion Guidance. NeurIPS 2024 - [i29]Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li:
Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. CoRR abs/2403.12404 (2024) - [i28]Hanchi Sun, Xiaohong Liu, Xinyang Jiang, Yifei Shen, Dongsheng Li, Xiongkuo Min, Guangtao Zhai:
Compression-Realized Deep Structural Network for Video Quality Enhancement. CoRR abs/2405.06342 (2024) - [i27]Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang:
Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. CoRR abs/2407.01491 (2024) - [i26]Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan:
Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path. CoRR abs/2408.09529 (2024) - [i25]Kaichen Zhang, Yifei Shen, Bo Li, Ziwei Liu:
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models. CoRR abs/2411.14982 (2024) - 2023
- [j7]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief:
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. IEEE J. Sel. Top. Signal Process. 17(4): 761-776 (2023) - [j6]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Graph Neural Networks for Wireless Communications: From Theory to Practice. IEEE Trans. Wirel. Commun. 22(5): 3554-3569 (2023) - [c22]Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li:
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI 2023: 7530-7538 - [c21]Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li:
SIMPLE: Specialized Model-Sample Matching for Domain Generalization. ICLR 2023 - [c20]Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu:
Sparse Mixture-of-Experts are Domain Generalizable Learners. ICLR 2023 - [c19]Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li:
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML 2023: 35817-35835 - [c18]Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike:
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation. NeurIPS 2023 - [i24]Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief:
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. CoRR abs/2307.02779 (2023) - [i23]Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike:
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation. CoRR abs/2308.00906 (2023) - [i22]Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li:
Label Propagation for Graph Label Noise. CoRR abs/2310.16560 (2023) - [i21]William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li:
Toward Open-ended Embodied Tasks Solving. CoRR abs/2312.05822 (2023) - 2022
- [j5]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Learn to Communicate With Neural Calibration: Scalability and Generalization. IEEE Trans. Wirel. Commun. 21(11): 9947-9961 (2022) - [c17]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. AAAI 2022: 7399-7407 - [c16]Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin:
Neural Piecewise-Constant Delay Differential Equations. AAAI 2022: 9242-9250 - [c15]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief:
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. GLOBECOM 2022: 5384-5389 - [c14]Yifei Shen, Jun Zhang, Khaled Ben Letaief:
How Neural Architectures Affect Deep Learning for Communication Networks? ICC 2022: 389-394 - [c13]Zhefeng Qiao, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Content-Aware Client Selection for Federated Learning in Wireless Networks. MeditCom 2022: 49-54 - [i20]Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin:
Neural Piecewise-Constant Delay Differential Equations. CoRR abs/2201.00960 (2022) - [i19]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Graph Neural Networks for Wireless Communications: From Theory to Practice. CoRR abs/2203.10800 (2022) - [i18]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief:
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. CoRR abs/2205.04944 (2022) - [i17]Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief:
An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. CoRR abs/2211.15939 (2022) - [i16]Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao:
Learning Domain Invariant Prompt for Vision-Language Models. CoRR abs/2212.04196 (2022) - 2021
- [j4]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief:
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. IEEE J. Sel. Areas Commun. 39(1): 101-115 (2021) - [j3]Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief:
Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold. IEEE Trans. Wirel. Commun. 20(2): 1411-1424 (2021) - [c12]He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu:
Decentralized Statistical Inference with Unrolled Graph Neural Networks. CDC 2021: 2634-2640 - [c11]Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? CIKM 2021: 1619-1629 - [c10]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. GLOBECOM 2021: 1-6 - [c9]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
AI Empowered Resource Management for Future Wireless Networks. MeditCom 2021: 252-257 - [c8]Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li:
Reinforcement Learning Enhanced Explainer for Graph Neural Networks. NeurIPS 2021: 22523-22533 - [c7]Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li:
Recognizing Vector Graphics without Rasterization. NeurIPS 2021: 24569-24580 - [i15]He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu:
Decentralized Statistical Inference with Unrolled Graph Neural Networks. CoRR abs/2104.01555 (2021) - [i14]Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief:
AI Empowered Resource Management for Future Wireless Networks. CoRR abs/2106.06178 (2021) - [i13]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. CoRR abs/2106.06333 (2021) - [i12]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. CoRR abs/2108.01529 (2021) - [i11]Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? CoRR abs/2108.07567 (2021) - [i10]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
Learn to Communicate with Neural Calibration: Scalability and Generalization. CoRR abs/2110.00272 (2021) - [i9]Yifei Shen, Jun Zhang, Khaled B. Letaief:
How Neural Architectures Affect Deep Learning for Communication Networks? CoRR abs/2111.02215 (2021) - [i8]Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li:
Recognizing Vector Graphics without Rasterization. CoRR abs/2111.03281 (2021) - 2020
- [j2]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples. IEEE Trans. Wirel. Commun. 19(1): 665-679 (2020) - [c6]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems. GLOBECOM (Workshops) 2020: 1-6 - [c5]Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau:
Complete Dictionary Learning via ℓp-norm Maximization. UAI 2020: 280-289 - [i7]Yifei Shen, Ye Xue, Jun Zhang, Khaled Ben Letaief, Vincent K. N. Lau:
Complete Dictionary Learning via 𝓁p-norm Maximization. CoRR abs/2002.10043 (2020) - [i6]Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief:
Blind Data Detection in Massive MIMO via ℓ3-norm Maximization over the Stiefel Manifold. CoRR abs/2004.12301 (2020) - [i5]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief:
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. CoRR abs/2007.07632 (2020) - [i4]Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief:
A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems. CoRR abs/2008.00769 (2020)
2010 – 2019
- 2019
- [j1]Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi:
Comparing large-scale graphs based on quantum probability theory. Appl. Math. Comput. 358: 1-15 (2019) - [c4]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief:
A Graph Neural Network Approach for Scalable Wireless Power Control. GLOBECOM Workshops 2019: 1-6 - [c3]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks. ICC 2019: 1-6 - [i3]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
A Graph Neural Network Approach for Scalable Wireless Power Control. CoRR abs/1907.08487 (2019) - 2018
- [c2]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
Scalable Network Adaptation for Cloud-Rans: An Imitation Learning Approach. GlobalSIP 2018: 614-618 - [c1]Hayoung Choi, Yifei Shen, Yuanming Shi:
Comparing Massive Networks via Moment Matrices. ISIT 2018: 656-660 - [i2]Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi:
Comparing large-scale graphs based on quantum probability theory. CoRR abs/1807.00252 (2018) - [i1]Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples. CoRR abs/1812.07998 (2018)
Coauthor Index
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