Yifei Shen - RankMe

76 papers A* 15A 3B 3Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence. CoRR Feilong Tang, Xiang An, Yunyao Yan, Yin Xie, Bin Qin, Kaicheng Yang, Yifei Shen, Yuanhan Zhang, Chunyuan Li, Shikun Feng, Changrui Chen, Huajie Tan, Ming Hu, Manyuan Zhang, Bo Li, Ziyong Feng, Ziwei Liu, Zongyuan Ge, Jiankang Deng
2026	J	`jnl`	SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling. CoRR Yiqi Zhang, Huiqiang Jiang, Xufang Luo, Zhihe Yang, Chengruidong Zhang, Yifei Shen, Dongsheng Li, Yuqing Yang, Lili Qiu, Yang You
2026	J	`jnl`	UniG2U-Bench: Do Unified Models Advance Multimodal Understanding? CoRR Zimo Wen, Boxiu Li, Wanbo Zhang, Junxiang Lei, Xiaoyu Chen, Yijia Fan, Qi Zhang, Yujiang Wang, Lili Qiu, Bo Li, Ziwei Liu, Caihua Shan, Yifan Yang, Yifei Shen
2025	A*	`conf`	Habitizing Diffusion Planning for Efficient and Effective Decision Making. ICML Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
2025	J	`jnl`	Habitizing Diffusion Planning for Efficient and Effective Decision Making. CoRR Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
2025	A	`conf`	High-resolution mmWave Imaging using Metasurface and Diffusion. MobiSys 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
2025	A*	`conf`	How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. ICLR Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2025	J	`jnl`	Toward Relative Positional Encoding in Spiking Transformers. CoRR Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
2025	J	`jnl`	VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL. CoRR Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Yifei Shen, Dongqi Han, Caihua Shan, Muhammad Muaz, Lili Qiu
2025	A*	`conf`	What Makes a Good Diffusion Planner for Decision Making? ICLR Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
2025	J	`jnl`	What Makes a Good Diffusion Planner for Decision Making? CoRR Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
2024	J	`jnl`	Compression-Realized Deep Structural Network for Video Quality Enhancement. CoRR Hanchi Sun, Xiaohong Liu, Xinyang Jiang, Yifei Shen, Dongsheng Li, Xiongkuo Min, Guangtao Zhai
2024	J	`jnl`	Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. CoRR Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang
2024	J	`jnl`	Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset. IEEE Trans. Pattern Anal. Mach. Intell. Shuguang Dou, Xinyang Jiang, Lu Liu, Lu Ying, Caihua Shan, Yifei Shen, Xuanyi Dong, Yun Wang, Dongsheng Li, Cairong Zhao
2024	J	`jnl`	Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. IEEE Commun. Mag. Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief
2024	J	`jnl`	Large Multi-modal Models Can Interpret Features in Large Multi-modal Models. CoRR Kaichen Zhang, Yifei Shen, Bo Li, Ziwei Liu
2024	J	`jnl`	Learning Domain Invariant Prompt for Vision-Language Models. IEEE Trans. Image Process. Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao
2024	—	`conf`	LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. EMNLP (Findings) Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang
2024	A*	`conf`	Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. KDD Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2024	J	`jnl`	Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path. CoRR Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan
2024	A*	`conf`	Training-free Multi-objective Diffusion Model for 3D Molecule Generation. ICLR Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
2024	J	`jnl`	Understanding Training-free Diffusion Guidance: Mechanisms and Limitations. CoRR Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
2024	A*	`conf`	Understanding and Improving Training-free Loss-based Diffusion Guidance. NeurIPS Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li
2023	J	`jnl`	An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. IEEE J. Sel. Top. Signal Process. Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
2023	A*	`conf`	CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
2023	J	`jnl`	Graph Neural Networks for Wireless Communications: From Theory to Practice. IEEE Trans. Wirel. Commun. Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief
2023	A*	`conf`	ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation. NeurIPS Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike
2023	J	`jnl`	ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation. CoRR Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike
2023	J	`jnl`	Label Propagation for Graph Label Noise. CoRR Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2023	J	`jnl`	Large Language Models Empowered Autonomous Edge AI for Connected Intelligence. CoRR Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief
2023	A*	`conf`	Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
2023	A*	`conf`	SIMPLE: Specialized Model-Sample Matching for Domain Generalization. ICLR Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
2023	A*	`conf`	Sparse Mixture-of-Experts are Domain Generalizable Learners. ICLR Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu
2023	J	`jnl`	Toward Open-ended Embodied Tasks Solving. CoRR William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li
2022	J	`jnl`	An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation. CoRR Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
2022	—	`conf`	Content-Aware Client Selection for Federated Learning in Wireless Networks. MeditCom Zhefeng Qiao, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2022	J	`jnl`	Graph Neural Networks for Wireless Communications: From Theory to Practice. CoRR Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief
2022	—	`conf`	How Neural Architectures Affect Deep Learning for Communication Networks? ICC Yifei Shen, Jun Zhang, Khaled Ben Letaief
2022	B	`conf`	Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. GLOBECOM Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief
2022	J	`jnl`	Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks. CoRR Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Jun Zhang, Khaled B. Letaief
2022	A*	`conf`	Invariant Information Bottleneck for Domain Generalization. AAAI Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
2022	J	`jnl`	Learn to Communicate With Neural Calibration: Scalability and Generalization. IEEE Trans. Wirel. Commun. Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2022	J	`jnl`	Learning Domain Invariant Prompt for Vision-Language Models. CoRR Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao
2022	A*	`conf`	Neural Piecewise-Constant Delay Differential Equations. AAAI Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
2022	J	`jnl`	Neural Piecewise-Constant Delay Differential Equations. CoRR Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin
2021	—	`conf`	AI Empowered Resource Management for Future Wireless Networks. MeditCom Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	J	`jnl`	AI Empowered Resource Management for Future Wireless Networks. CoRR Yifei Shen, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	J	`jnl`	Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold. IEEE Trans. Wirel. Commun. Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief
2021	—	`conf`	Decentralized Statistical Inference with Unrolled Graph Neural Networks. CDC He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu
2021	J	`jnl`	Decentralized Statistical Inference with Unrolled Graph Neural Networks. CoRR He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu
2021	J	`jnl`	Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. IEEE J. Sel. Areas Commun. Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief
2021	J	`jnl`	How Neural Architectures Affect Deep Learning for Communication Networks? CoRR Yifei Shen, Jun Zhang, Khaled B. Letaief
2021	A	`conf`	How Powerful is Graph Convolution for Recommendation? CIKM Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li
2021	J	`jnl`	How Powerful is Graph Convolution for Recommendation? CoRR Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li
2021	J	`jnl`	Invariant Information Bottleneck for Domain Generalization. CoRR Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao
2021	J	`jnl`	Learn to Communicate with Neural Calibration: Scalability and Generalization. CoRR Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	B	`conf`	Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. GLOBECOM Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	J	`jnl`	Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation. CoRR Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2021	A*	`conf`	Recognizing Vector Graphics without Rasterization. NeurIPS Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
2021	J	`jnl`	Recognizing Vector Graphics without Rasterization. CoRR Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
2021	A*	`conf`	Reinforcement Learning Enhanced Explainer for Graph Neural Networks. NeurIPS Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
2020	—	`conf`	A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems. GLOBECOM (Workshops) Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2020	J	`jnl`	A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems. CoRR Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
2020	J	`jnl`	Blind Data Detection in Massive MIMO via ℓ CoRR Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief
2020	A	`conf`	Complete Dictionary Learning via ℓ UAI Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau
2020	J	`jnl`	Complete Dictionary Learning via 𝓁 CoRR Yifei Shen, Ye Xue, Jun Zhang, Khaled Ben Letaief, Vincent K. N. Lau
2020	J	`jnl`	Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. CoRR Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief
2020	J	`jnl`	LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples. IEEE Trans. Wirel. Commun. Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief
2019	—	`conf`	A Graph Neural Network Approach for Scalable Wireless Power Control. GLOBECOM Workshops Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief
2019	J	`jnl`	A Graph Neural Network Approach for Scalable Wireless Power Control. CoRR Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief
2019	J	`jnl`	Comparing large-scale graphs based on quantum probability theory. Appl. Math. Comput. Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi
2019	—	`conf`	Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks. ICC Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief
2018	B	`conf`	Comparing Massive Networks via Moment Matrices. ISIT Hayoung Choi, Yifei Shen, Yuanming Shi
2018	J	`jnl`	Comparing large-scale graphs based on quantum probability theory. CoRR Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi
2018	J	`jnl`	LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples. CoRR Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief
2018	—	`conf`	Scalable Network Adaptation for Cloud-Rans: An Imitation Learning Approach. GlobalSIP Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief