Cong Shen - RankMe

249 papers A* 27A 10B 24C 2Misc 13Journal 145Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Radical Heavy-Ball Method for Gradient Acceleration in Communication-Efficient Mobile Federated Learning. IEEE Trans. Mob. Comput. Boyuan Li, Zijian Li, Yafei Li, Mingliang Xu, Shengbo Chen, Cong Shen, Tony Q. S. Quek
2026	J	`jnl`	Differentially Private Wireless Federated Learning Using Orthogonal Sequences. IEEE Trans. Inf. Theory Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2026	J	`jnl`	Federated Split Learning With Improved Communication and Storage Efficiency. IEEE Trans. Mob. Comput. Yujia Mu, Cong Shen
2026	J	`jnl`	HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings. CoRR Xiaochen Li, Fengyu Gao, Xizixiang Wei, Tianhao Wang, Cong Shen, Jing Yang
2026	J	`jnl`	Neighborhood and Global Perturbations Supported Sharpness-Aware Minimization in Federated Learning: From Local Tweaks to Global Awareness. IEEE Trans. Netw. Sci. Eng. Boyuan Li, Zihao Peng, Yafei Li, Zijian Li, Shengbo Chen, Cong Shen, Tony Q. S. Quek
2026	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2025	A	`conf`	A Shared Low-Rank Adaptation Approach to Personalized RLHF. AISTATS Renpu Liu, Peng Wang, Donghao Li, Cong Shen, Jing Yang
2025	J	`jnl`	A Shared Low-Rank Adaptation Approach to Personalized RLHF. CoRR Renpu Liu, Peng Wang, Donghao Li, Cong Shen, Jing Yang
2025	J	`jnl`	A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization. CoRR Wei Shen, Jiawei Zhang, Minhui Huang, Cong Shen
2025	J	`jnl`	A Survey of Scaling in Large Language Model Reasoning. CoRR Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li
2025	A	`conf`	Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis. UAI Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang
2025	J	`jnl`	Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis. CoRR Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang
2025	J	`jnl`	Average Reward Reinforcement Learning for Wireless Radio Resource Management. CoRR Kun Yang, Jing Yang, Cong Shen
2025	B	`conf`	Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection. GLOBECOM Li Fan, Peng Wang, Jing Yang, Cong Shen
2025	J	`jnl`	Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection. CoRR Li Fan, Peng Wang, Jing Yang, Cong Shen
2025	A	`conf`	Cost-Aware Optimal Pairwise Pure Exploration. AISTATS Di Wu, Chengshuai Shi, Ruida Zhou, Cong Shen
2025	J	`jnl`	Cost-Aware Optimal Pairwise Pure Exploration. CoRR Di Wu, Chengshuai Shi, Ruida Zhou, Cong Shen
2025	A*	`conf`	Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning. ICLR Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang
2025	J	`jnl`	FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs. CoRR Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025	J	`jnl`	FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs. Trans. Mach. Learn. Res. Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025	J	`jnl`	Federated Learning for Diffusion Models. CoRR Zihao Peng, Xijun Wang, Shengbo Chen, Hong Rao, Cong Shen
2025	J	`jnl`	Federated Learning for Diffusion Models. IEEE Trans. Cogn. Commun. Netw. Zihao Peng, Xijun Wang, Shengbo Chen, Hong Rao, Cong Shen
2025	J	`jnl`	Federated Split Learning with Improved Communication and Storage Efficiency. CoRR Yujia Mu, Cong Shen
2025	—	`conf`	From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. EMNLP (Findings) Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li
2025	J	`jnl`	From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. CoRR Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li
2025	—	`conf`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. KDD (2) Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. CoRR Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Greedy Sampling Is Provably Efficient for RLHF. CoRR Di Wu, Chengshuai Shi, Jing Yang, Cong Shen
2025	J	`jnl`	Indirect-Communication Federated Learning via Mobile Transporters. IEEE Trans. Mob. Comput. Jieming Bian, Cong Shen, Mingzhe Chen, Jie Xu
2025	A*	`conf`	MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. ICML Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025	J	`jnl`	MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. CoRR Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025	J	`jnl`	MLorc: Momentum Low-rank Compression for Large Language Model Adaptation. CoRR Wei Shen, Zhang Yaxiang, Minhui Huang, Mengfan Xu, Jiawei Zhang, Cong Shen
2025	J	`jnl`	On the Convergence Analysis of Muon. CoRR Wei Shen, Ruichuan Huang, Minhui Huang, Cong Shen, Jiawei Zhang
2025	A*	`conf`	On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery. ICLR Renpu Liu, Ruida Zhou, Cong Shen, Jing Yang
2025	A*	`conf`	On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures. ICML Wei Shen, Ruida Zhou, Jing Yang, Cong Shen
2025	A*	`conf`	Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. EMNLP Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025	J	`jnl`	Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. CoRR Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025	—	`conf`	The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. KDD (2) Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2025	J	`jnl`	Transformer-based Wireless Symbol Detection Over Fading Channels. CoRR Li Fan, Jing Yang, Cong Shen
2024	C	`conf`	A Prototype Preceding Vehicle Identification System Development and Field Evaluation. VEHITS Zeyu Mu, Guancheng Tu, Austin Shi, Kun Yang, Yixin Sun, Cong Shen, B. Brian Park
2024	J	`jnl`	Accelerating Hybrid Federated Learning Convergence Under Partial Participation. IEEE Trans. Signal Process. Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
2024	—	`conf`	Advancing RAN Slicing with Offline Reinforcement Learning. DySPAN Kun Yang, Shu-Ping Yeh, Menglei Zhang, Jerry Sydir, Jing Yang, Cong Shen
2024	—	`conf`	An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning. ICC Yujia Mu, Xizixiang Wei, Cong Shen
2024	J	`jnl`	An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning. CoRR Yujia Mu, Xizixiang Wei, Cong Shen
2024	—	`conf`	Average Reward Reinforcement Learning for Wireless Radio Resource Management. IEEECONF Kun Yang, Jing Yang, Cong Shen
2024	J	`jnl`	Best Arm Identification for Prompt Learning under a Limited Budget. CoRR Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
2024	J	`jnl`	Channel-Wise Mixed-Precision Quantization for Large Language Models. CoRR Zihan Chen, Bike Xie, Jundong Li, Cong Shen
2024	J	`jnl`	Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning. CoRR Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang
2024	J	`jnl`	Decision Feedback In-Context Symbol Detection over Block-Fading Channels. CoRR Li Fan, Jing Yang, Cong Shen
2024	J	`jnl`	Digital Over-the-Air Federated Learning in Multi-Antenna Systems. IEEE Trans. Wirel. Commun. Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
2024	A*	`conf`	Efficient Prompt Optimization Through the Lens of Best Arm Identification. NeurIPS Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen
2024	—	`conf`	FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. ACL (Findings) Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024	J	`jnl`	FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. CoRR Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024	J	`jnl`	Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things. IEEE Internet Things J. Shengbo Chen, Le Li, Guanghui Wang, Meng Pang, Cong Shen
2024	A*	`conf`	Federated Representation Learning in the Under-Parameterized Regime. ICML Renpu Liu, Cong Shen, Jing Yang
2024	J	`jnl`	Federated Representation Learning in the Under-Parameterized Regime. CoRR Renpu Liu, Cong Shen, Jing Yang
2024	J	`jnl`	Harnessing the Power of Federated Learning in Federated Contextual Bandits. Trans. Mach. Learn. Res. Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
2024	A*	`conf`	Mixture of Demonstrations for In-Context Learning. NeurIPS Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li
2024	A*	`conf`	NL2Code-Reasoning and Planning with LLMs for Code Development. KDD Ye Xing, Jun Huan, Wee Hyong Tok, Cong Shen, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan
2024	J	`jnl`	Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness. CoRR Boyuan Li, Zihao Peng, Yafei Li, Mingliang Xu, Shengbo Chen, Baofeng Ji, Cong Shen
2024	J	`jnl`	Offline Reinforcement Learning for Wireless Network Optimization With Mixture Datasets. IEEE Trans. Wirel. Commun. Kun Yang, Chengshuai Shi, Cong Shen, Jing Yang, Shu-Ping Yeh, Jaroslaw J. Sydir
2024	J	`jnl`	On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery. CoRR Renpu Liu, Ruida Zhou, Cong Shen, Jing Yang
2024	J	`jnl`	On the Training Convergence of Transformers for In-Context Classification. CoRR Wei Shen, Ruida Zhou, Jing Yang, Cong Shen
2024	Misc	`conf`	Personalized Federated Learning with Attention-Based Client Selection. ICASSP Zihan Chen, Jundong Li, Cong Shen
2024	J	`jnl`	Random Orthogonalization for Federated Learning in Massive MIMO Systems. IEEE Trans. Wirel. Commun. Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
2024	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. CoRR Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024	J	`jnl`	Stereoscopic artificial compound eyes for spatiotemporal perception in three-dimensional space. Sci. Robotics Byungjoon Bae, Doeon Lee, Minseong Park, Yujia Mu, Yongmin Baek, Inbo Sim, Cong Shen, Kyusang Lee
2024	A	`conf`	Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. AISTATS Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen
2024	A*	`conf`	The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2024	A*	`conf`	Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models. NeurIPS Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
2024	J	`jnl`	Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models. CoRR Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
2024	A*	`conf`	Verification of Machine Unlearning is Fragile. ICML Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li
2024	J	`jnl`	Verification of Machine Unlearning is Fragile. CoRR Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li
2023	J	`jnl`	Accelerating Hybrid Federated Learning Convergence under Partial Participation. CoRR Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
2023	J	`jnl`	Advancing RAN Slicing with Offline Reinforcement Learning. CoRR Kun Yang, Shu-Ping Yeh, Menglei Zhang, Jerry Sydir, Jing Yang, Cong Shen
2023	—	`conf`	Communication and Storage Efficient Federated Split Learning. ICC Yujia Mu, Cong Shen
2023	J	`jnl`	Communication and Storage Efficient Federated Split Learning. CoRR Yujia Mu, Cong Shen
2023	J	`jnl`	Cross-Layer Federated Learning Optimization in MIMO Networks. CoRR Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
2023	J	`jnl`	Differentially Private Wireless Federated Learning Using Orthogonal Sequences. CoRR Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2023	B	`conf`	Exploiting Feature Heterogeneity for Improved Generalization in Federated Multi-task Learning. ISIT Renpu Liu, Jing Yang, Cong Shen
2023	—	`conf`	FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences. ICC Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
2023	Misc	`conf`	Federated Learning via Indirect Server-Client Communications. CISS Jieming Bian, Cong Shen, Jie Xu
2023	J	`jnl`	Federated Learning via Indirect Server-Client Communications. CoRR Jieming Bian, Cong Shen, Jie Xu
2023	A*	`conf`	Federated Linear Bandits with Finite Adversarial Actions. NeurIPS Li Fan, Ruida Zhou, Chao Tian, Cong Shen
2023	J	`jnl`	Federated Linear Bandits with Finite Adversarial Actions. CoRR Li Fan, Ruida Zhou, Chao Tian, Cong Shen
2023	J	`jnl`	Harnessing the Power of Federated Learning in Federated Contextual Bandits. CoRR Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
2023	J	`jnl`	Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning. CoRR Jieming Bian, Cong Shen, Jie Xu
2023	B	`conf`	MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. GLOBECOM Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
2023	A*	`conf`	Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. ICML Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
2023	J	`jnl`	Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. CoRR Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
2023	A*	`conf`	Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. ICLR Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
2023	Misc	`conf`	Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. ACSSC Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir
2023	J	`jnl`	Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. CoRR Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir
2023	B	`conf`	On High-dimensional and Low-rank Tensor Bandits. ISIT Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
2023	J	`jnl`	On High-dimensional and Low-rank Tensor Bandits. CoRR Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
2023	J	`jnl`	On the Convergence of Hybrid Server-Clients Collaborative Training. IEEE J. Sel. Areas Commun. Kun Yang, Shengbo Chen, Cong Shen
2023	J	`jnl`	Performance Optimization for Noise Interference Privacy Protection in Federated Learning. IEEE Trans. Cogn. Commun. Netw. Zihao Peng, Boyuan Li, Le Li, Shengbo Chen, Guanghui Wang, Hong Rao, Cong Shen
2023	J	`jnl`	Personalized Federated Learning with Attention-based Client Selection. CoRR Zihan Chen, Jundong Li, Cong Shen
2023	A*	`conf`	Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. ICML Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2023	J	`jnl`	Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. CoRR Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2023	B	`conf`	Reward Teaching for Federated Multi-armed Bandits. ISIT Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2023	J	`jnl`	Reward Teaching for Federated Multi-armed Bandits. CoRR Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2023	J	`jnl`	Reward Teaching for Federated Multiarmed Bandits. IEEE Trans. Signal Process. Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2023	J	`jnl`	Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. CoRR Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen
2023	Misc	`conf`	Teaching Reinforcement Learning Agents via Reinforcement Learning. CISS Kun Yang, Chengshuai Shi, Cong Shen
2023	A*	`conf`	The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
2022	A*	`conf`	8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
2022	A*	`conf`	A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. ICML Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
2022	J	`jnl`	A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. CoRR Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
2022	B	`conf`	Cascading Bandits with Two-Level Feedback. ISIT Duo Cheng, Ruiquan Huang, Cong Shen, Jing Yang
2022	J	`jnl`	Federated Learning Over Noisy Channels: Convergence Analysis and Design Examples. IEEE Trans. Cogn. Commun. Netw. Xizixiang Wei, Cong Shen
2022	J	`jnl`	Joint Optimal Quantization and Aggregation of Federated Learning Scheme in VANETs. IEEE Trans. Intell. Transp. Syst. Yifei Li, Yijia Guo, Mamoun Alazab, Shengbo Chen, Cong Shen, Keping Yu
2022	A*	`conf`	Learning for Robust Combinatorial Optimization: Algorithm and Application. INFOCOM Zhihui Shao, Jianyi Yang, Cong Shen, Shaolei Ren
2022	J	`jnl`	MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar
2022	—	`conf`	Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization. IEEECONF Kun Yang, Donghao Li, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir
2022	J	`jnl`	Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. CoRR Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
2022	Misc	`conf`	On Federated Learning with Energy Harvesting Clients. ICASSP Cong Shen, Jing Yang, Jie Xu
2022	J	`jnl`	On Federated Learning with Energy Harvesting Clients. CoRR Cong Shen, Jing Yang, Jie Xu
2022	J	`jnl`	On Top-k Selection From m-Wise Partial Rankings via Borda Counting. IEEE Trans. Signal Process. Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
2022	J	`jnl`	On Top-k Selection from m-wise Partial Rankings via Borda Counting. CoRR Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
2022	Misc	`conf`	On the Convergence of Hybrid Federated Learning with Server-Clients Collaborative Training. CISS Kun Yang, Cong Shen
2022	B	`conf`	Optimizing Federated Averaging over Fading Channels. ISIT Yujia Mu, Cong Shen, Yonina C. Eldar
2022	—	`conf`	Random Orthogonalization for Federated Learning in Massive MIMO Systems. ICC Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
2022	J	`jnl`	Random Orthogonalization for Federated Learning in Massive MIMO Systems. CoRR Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
2022	J	`jnl`	Random Orthogonalization for Federated Learning in Massive MIMO Systems. CoRR Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
2022	J	`jnl`	Tx-Rx Reciprocity Calibration for Hybrid Massive MIMO Systems. IEEE Wirel. Commun. Lett. Xizixiang Wei, Yi Jiang, Xin Wang, Cong Shen
2021	A*	`conf`	(Almost) Free Incentivized Exploration from Decentralized Learning Agents. NeurIPS Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen
2021	J	`jnl`	(Almost) Free Incentivized Exploration from Decentralized Learning Agents. CoRR Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen
2021	B	`conf`	A Machine Learning Approach for Rate Prediction in Multicast File-stream Distribution Networks. GLOBECOM Yujia Mu, Yuanlong Tan, Malathi Veeraraghavan, Cong Shen
2021	B	`conf`	An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits. ISIT Chengshuai Shi, Cong Shen
2021	J	`jnl`	Collaborative Service Placement for Edge Computing in Dense Small Cell Networks. IEEE Trans. Mob. Comput. Lixing Chen, Cong Shen, Pan Zhou, Jie Xu
2021	—	`conf`	Design and Analysis of Uplink and Downlink Communications for Federated Learning. ICC Sihui Zheng, Cong Shen, Xiang Chen
2021	J	`jnl`	Design and Analysis of Uplink and Downlink Communications for Federated Learning. IEEE J. Sel. Areas Commun. Sihui Zheng, Cong Shen, Xiang Chen
2021	J	`jnl`	Dynamic Aggregation for Heterogeneous Quantization in Federated Learning. IEEE Trans. Wirel. Commun. Shengbo Chen, Cong Shen, Lanxue Zhang, Yuanmin Tang
2021	—	`conf`	Federated Learning over Noisy Channels. ICC Xizixiang Wei, Cong Shen
2021	J	`jnl`	Federated Learning over Noisy Channels: Convergence Analysis and Design Examples. CoRR Xizixiang Wei, Cong Shen
2021	A*	`conf`	Federated Linear Contextual Bandits. NeurIPS Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
2021	J	`jnl`	Federated Linear Contextual Bandits. CoRR Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
2021	A*	`conf`	Federated Multi-Armed Bandits. AAAI Chengshuai Shi, Cong Shen
2021	J	`jnl`	Federated Multi-Armed Bandits. CoRR Chengshuai Shi, Cong Shen
2021	A	`conf`	Federated Multi-armed Bandits with Personalization. AISTATS Chengshuai Shi, Cong Shen, Jing Yang
2021	J	`jnl`	Federated Multi-armed Bandits with Personalization. CoRR Chengshuai Shi, Cong Shen, Jing Yang
2021	A*	`conf`	Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization. NeurIPS Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2021	J	`jnl`	Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization. CoRR Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2021	J	`jnl`	Learning for Robust Combinatorial Optimization: Algorithm and Application. CoRR Zhihui Shao, Jianyi Yang, Cong Shen, Shaolei Ren
2021	J	`jnl`	Multi-Player Multi-Armed Bandits With Collision-Dependent Reward Distributions. IEEE Trans. Signal Process. Chengshuai Shi, Cong Shen
2021	J	`jnl`	Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions. CoRR Chengshuai Shi, Cong Shen
2021	—	`conf`	On Energy Efficient Uplink Multi-User MIMO with Shared LNA Control. ICC Cong Shen, Pengkai Zhao, Xiliang Luo
2021	J	`jnl`	On No-Sensing Adversarial Multi-Player Multi-Armed Bandits With Collision Communications. IEEE J. Sel. Areas Inf. Theory Chengshuai Shi, Cong Shen
2021	J	`jnl`	Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. IEEE Commun. Mag. Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
2021	J	`jnl`	Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. CoRR Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
2021	A	`conf`	SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. AISTATS Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
2021	J	`jnl`	SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. CoRR Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
2020	J	`jnl`	Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching. CoRR Xianzhe Xu, Meixia Tao, Cong Shen
2020	J	`jnl`	Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching. IEEE Trans. Wirel. Commun. Xianzhe Xu, Meixia Tao, Cong Shen
2020	A	`conf`	Contextual Constrained Learning for Dose-Finding Clinical Trials. AISTATS Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
2020	J	`jnl`	Contextual Constrained Learning for Dose-Finding Clinical Trials. CoRR Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
2020	J	`jnl`	Cost-Aware Cascading Bandits. IEEE Trans. Signal Process. Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
2020	Misc	`conf`	Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. ITA Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
2020	A	`conf`	Decentralized Multi-player Multi-armed Bandits with No Collision Information. AISTATS Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2020	J	`jnl`	Decentralized Multi-player Multi-armed Bandits with No Collision Information. CoRR Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
2020	—	`conf`	Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study. INFOCOM Workshops Kun Yang, Cong Shen, Tie Liu
2020	J	`jnl`	Design and Analysis of Uplink and Downlink Communications for Federated Learning. CoRR Sihui Zheng, Cong Shen, Xiang Chen
2020	Misc	`conf`	Federated Learning with Heterogeneous Quantization. SEC Cong Shen, Shengbo Chen
2020	J	`jnl`	Improved Low-Resolution Quantized SIMO Estimation via Deep Learning. IEEE Wirel. Commun. Lett. Saichao Liu, Shengbo Chen, Cong Shen, Mohamed A. Ismail, Roshan Kumar
2020	A*	`conf`	Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. ICML Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
2020	J	`jnl`	Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. CoRR Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
2020	Misc	`conf`	MIMO Receive Antenna Selection via Deep Learning and Greedy Adaptation. ACSSC Cong Shen, Donghao Li, Jing Yang
2020	J	`jnl`	On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications. CoRR Chengshuai Shi, Cong Shen
2020	J	`jnl`	On Scheduling Policies With Heavy-Tailed Dynamics in Wireless Queueing Systems. IEEE Access Shengbo Chen, Lanxue Zhang, Cong Shen, Keping Yu, San Hlaing Myint, Zheng Wen
2020	B	`conf`	On Top-k Selection from m-wise Partial Rankings via Borda Counting. ISIT Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
2020	A*	`conf`	Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. NeurIPS Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
2020	J	`jnl`	Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. CoRR Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
2020	A	`conf`	Stochastic Linear Contextual Bandits with Diverse Contexts. AISTATS Weiqiang Wu, Jing Yang, Cong Shen
2020	J	`jnl`	Stochastic Linear Contextual Bandits with Diverse Contexts. CoRR Weiqiang Wu, Jing Yang, Cong Shen
2020	Misc	`conf`	Thresholded Wirtinger Flow for Fast Millimeter Wave Beam Alignment. ACSSC Chao Gan, Jing Yang, Cong Shen
2020	J	`jnl`	Towards Optimal Power Control via Ensembling Deep Neural Networks. IEEE Trans. Commun. Fei Liang, Cong Shen, Wei Yu, Feng Wu
2019	—	`conf`	A Cascading Bandit Approach To Efficient Mobility Management In Ultra-Dense Networks. MLSP Chao Wang, Ruida Zhou, Jing Yang, Cong Shen
2019	J	`jnl`	A Non-Stationary Online Learning Approach to Mobility Management. IEEE Trans. Wirel. Commun. Yiming Zhou, Cong Shen, Mihaela van der Schaar
2019	J	`jnl`	A Regression Approach to Certain Information Transmission Problems. CoRR Wenyi Zhang, Yizhu Wang, Cong Shen, Ning Liang
2019	J	`jnl`	A Regression Approach to Certain Information Transmission Problems. IEEE J. Sel. Areas Commun. Wenyi Zhang, Yizhu Wang, Cong Shen, Ning Liang
2019	J	`jnl`	Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. IEEE Trans. Cogn. Commun. Netw. Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
2019	B	`conf`	Online Learning with Diverse User Preferences. ISIT Chao Gan, Jing Yang, Ruida Zhou, Cong Shen
2019	C	`conf`	Power Control for Interference Management via Ensembling Deep Neural Networks. ICCC Fei Liang, Cong Shen, Wei Yu, Feng Wu
2019	B	`conf`	Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. GLOBECOM Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu
2019	J	`jnl`	Universal Best Arm Identification. IEEE Trans. Signal Process. Cong Shen
2018	—	`conf`	A Non-Stationary Online Learning Approach to Mobility Management. ICC Yiming Zhou, Cong Shen, Xiliang Luo, Mihaela van der Schaar
2018	J	`jnl`	An Iterative BP-CNN Architecture for Channel Decoding. IEEE J. Sel. Top. Signal Process. Fei Liang, Cong Shen, Feng Wu
2018	J	`jnl`	Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. CoRR Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
2018	A*	`conf`	Cost-aware Cascading Bandits. IJCAI Ruida Zhou, Chao Gan, Jing Yang, Cong Shen
2018	J	`jnl`	Cost-aware Cascading Bandits. CoRR Ruida Zhou, Chao Gan, Jing Yang, Cong Shen
2018	J	`jnl`	Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication. IEEE Trans. Wirel. Commun. Jie Xu, Lixing Chen, Kun Liu, Cong Shen
2018	J	`jnl`	Downlink Multi-User MIMO Precoding Design Via Signal-Over-Leakage Capacity. IEEE Access Cong Shen
2018	—	`conf`	Exploiting Noise Correlation for Channel Decoding with Convolutional Neural Networks. ICC Fei Liang, Cong Shen, Feng Wu
2018	J	`jnl`	Generalized Global Bandit and Its Application in Cellular Coverage Optimization. IEEE J. Sel. Top. Signal Process. Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar
2018	Misc	`conf`	How to Interconnect for Massive Mimo Self-Calibration? ICASSP Fuqian Yang, Hanyu Zhu, Cong Shen, Linglong Dai, Xiliang Luo
2018	J	`jnl`	Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point. Entropy Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2018	B	`conf`	New Results on Multilevel Diversity Coding with Secure Regeneration. ISIT Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2018	J	`jnl`	New Results on Multilevel Diversity Coding with Secure Regeneration. CoRR Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2018	J	`jnl`	New results on multilevel diversity coding with secure regeneration. Sci. China Inf. Sci. Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2018	—	`conf`	Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. ICC Hang Wu, Lixing Chen, Cong Shen, Wujie Wen, Jie Xu
2018	—	`conf`	Opportunistic Spectrum Access via Good Arm Identification. GlobalSIP Zhiyang Wang, Ziyu Ying, Cong Shen
2018	J	`jnl`	Regional Multi-Armed Bandits With Partial Informativeness. IEEE Trans. Signal Process. Zhiyang Wang, Ruida Zhou, Cong Shen
2018	A	`conf`	Regional Multi-Armed Bandits. AISTATS Zhiyang Wang, Ruida Zhou, Cong Shen
2018	J	`jnl`	Regional Multi-Armed Bandits. CoRR Zhiyang Wang, Ruida Zhou, Cong Shen
2018	—	`conf`	Small Cell Power Assignment with Unimodal Continuum-Armed Bandit Learning. ICC Workshops Zhiyang Wang, Cong Shen
2018	B	`conf`	Sparse Spectrum Reuse in HetNets with Relays. GLOBECOM Shengda Jin, Zhaowei Zhu, Cong Shen, Sadiq Ali, Hua Qian, Xiliang Luo
2018	J	`jnl`	Towards Optimal Power Control via Ensembling Deep Neural Networks. CoRR Fei Liang, Cong Shen, Wei Yu, Feng Wu
2017	B	`conf`	A Cyber-Physical Design for Indoor Temperature Monitoring Using Wireless Sensor Networks. WCNC Cong Shen, Shengbo Chen
2017	B	`conf`	A Learning Approach to Frequent Handover Mitigations in 3GPP Mobility Protocols. WCNC Cong Shen, Mihaela van der Schaar
2017	J	`jnl`	A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning. IEEE Trans. Signal Process. Xiliang Luo, Penghao Cai, Xiaoyu Zhang, Die Hu, Cong Shen
2017	B	`conf`	Aligning DL paths for scalable CSI feedback in FDD massive MIMO. IWCMC Xiliang Luo, Penghao Cai, Xiaoyu Zhang, Cong Shen, Hua Qian
2017	J	`jnl`	An Iterative BP-CNN Architecture for Channel Decoding. CoRR Fei Liang, Cong Shen, Feng Wu
2017	—	`conf`	DL CSI acquisition and feedback in FDD massive MIMO via path aligning. ICUFN Xiliang Luo, Xiaoyu Zhang, Penghao Cai, Cong Shen, Die Hu, Hua Qian
2017	—	`conf`	Learn to adapt: Self-optimizing small cell transmit power with correlated bandit learning. ICC Zhiyang Wang, Cong Shen, Xiliang Luo, Mihaela van der Schaar
2017	J	`jnl`	Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point. CoRR Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2017	J	`jnl`	On Energy Efficient Uplink Multi-User MIMO with Shared LNA Control. CoRR Zehao Yu, Cong Shen, Pengkai Zhao, Xiliang Luo
2017	Misc	`conf`	On scheduling policies in the presence of heavy-tailed interference. ITA Hang Wu, Cong Shen, Shengbo Chen
2017	J	`jnl`	On the Tradeoff Region of Secure Exact-Repair Regenerating Codes. CoRR Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2017	J	`jnl`	On the Tradeoff Region of Secure Exact-Repair Regenerating Codes. IEEE Trans. Inf. Theory Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2017	—	`conf`	On the effective capacities of distributed and co-located large-scale antenna systems. ICC Cong Shen, Zehao Yu, Chang Wen Chen, Feng Wu
2017	B	`conf`	On the tradeoff region of secure exact-repair regenerating codes. ISIT Shuo Shao, Tie Liu, Chao Tian, Cong Shen
2017	J	`jnl`	Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. CoRR Jie Xu, Hang Wu, Lixing Chen, Cong Shen
2017	J	`jnl`	Small Cell Transmit Power Assignment Based on Correlated Bandit Learning. CoRR Zhiyang Wang, Cong Shen
2017	J	`jnl`	Small Cell Transmit Power Assignment Based on Correlated Bandit Learning. IEEE J. Sel. Areas Commun. Zhiyang Wang, Cong Shen
2016	J	`jnl`	A Non-Stochastic Learning Approach to Energy Efficient Mobility Management. IEEE J. Sel. Areas Commun. Cong Shen, Cem Tekin, Mihaela van der Schaar
2016	J	`jnl`	A Non-stochastic Learning Approach to Energy Efficient Mobility Management. CoRR Cong Shen, Cem Tekin, Mihaela van der Schaar
2016	J	`jnl`	A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning. CoRR Xiliang Luo, Penghao Cai, Xiaoyu Zhang, Die Hu, Cong Shen
2016	B	`conf`	DARC: Timely Classification with Randomly Delayed Features. GLOBECOM Jie Xu, Qi Cai, Cong Shen
2016	J	`jnl`	Less is More: Participation Incentives in D2D-enhanced Mobile Edge Computing under Infectious DDoS Attacks. CoRR Jie Xu, Lixing Chen, Kun Liu, Cong Shen
2015	B	`conf`	An uplink interference analysis for massive MIMO systems with MRC and ZF receivers. WCNC Ning Liang, Wenyi Zhang, Cong Shen
2015	J	`jnl`	Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. Cong Shen, Jie Xu, Mihaela van der Schaar
2014	J	`jnl`	An Uplink Interference Analysis for Massive MIMO Systems with MRC and ZF Receivers. CoRR Ning Liang, Wenyi Zhang, Cong Shen
2014	B	`conf`	Silence is gold: Strategic small cell interference management using tokens. GLOBECOM Cong Shen, Jie Xu, Mihaela van der Schaar
2011	J	`jnl`	Hybrid ARQ in Multiple-Antenna Slow Fading Channels: Performance Limits and Optimal Linear Dispersion Code Design. IEEE Trans. Inf. Theory Cong Shen, Michael P. Fitz
2011	J	`jnl`	Opportunistic Spatial Orthogonalization and Its Application in Fading Cognitive Radio Networks. IEEE J. Sel. Top. Signal Process. Cong Shen, Michael P. Fitz
2009	Misc	`conf`	Dynamic spatial spectrum access with opportunistic orthogonalization. CISS Cong Shen, Michael P. Fitz
2009	J	`jnl`	Hybrid ARQ in Multiple-Antenna Slow Fading Channels: Performance Limits and Optimal Linear Dispersion Code Design CoRR Cong Shen, Michael P. Fitz
2009	J	`jnl`	On the average rate performance of hybrid-ARQ in quasi-static fading channels. IEEE Trans. Commun. Cong Shen, Tie Liu, Michael P. Fitz
2009	J	`jnl`	Opportunistic Spatial Orthogonalization and Its Application in Fading Cognitive Radio Networks CoRR Cong Shen, Michael P. Fitz
2008	B	`conf`	A utility maximization approach to the design of unequal error protection with multilevel codes. ISIT Cong Shen, Michael P. Fitz
2008	—	`conf`	Aggressive Transmission with ARQ in Quasi-Static Fading Channels. ICC Cong Shen, Tie Liu, Michael P. Fitz
2008	—	`conf`	Hybrid ARQ schemes in multiple-antenna slow fading channels: A capacity perspective. ACSCC Cong Shen, Michael P. Fitz
2008	J	`jnl`	MIMO-OFDM Beamforming for Improved Channel Estimation. IEEE J. Sel. Areas Commun. Cong Shen, Michael P. Fitz
2008	—	`conf`	On the Design of Modern Multilevel Coded Modulation for Unequal Error Protection. ICC Cong Shen, Michael P. Fitz
2008	J	`jnl`	Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels. IEEE Trans. Wirel. Commun. Cong Shen, Mihaela van der Schaar
2007	B	`conf`	Generalized Soft-Output Layered Orthogonal Lattice Detector for Golden Code. WCNC Cong Shen, Michael P. Fitz, Massimiliano Siti
2007	—	`conf`	Optimal Resource Allocation in Wireless Multiaccess Video Transmissions. ICC Cong Shen, Mihaela van der Schaar
2006	B	`conf`	MIMO-OFDM Beamforming for Improved Channel Estimation. GLOBECOM Cong Shen, Michael P. Fitz