Cong Shen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 49

Top Topics

Metropolis Hastings

Sampling Algorithm

Top Venues

Publications

Ye Xing, Jun Huan, Wee Hyong Tok, Cong Shen, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan
NL2Code-Reasoning and Planning with LLMs for Code Development. KDD (2024)
Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
Accelerating Hybrid Federated Learning Convergence Under Partial Participation. IEEE Trans. Signal Process. 72 (2024)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD (2024)
Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
Best Arm Identification for Prompt Learning under a Limited Budget. CoRR (2024)
Byungjoon Bae, Doeon Lee, Minseong Park, Yujia Mu, Yongmin Baek, Inbo Sim, Cong Shen, Kyusang Lee
Stereoscopic artificial compound eyes for spatiotemporal perception in three-dimensional space. Sci. Robotics 9 (90) (2024)
Yujia Mu, Xizixiang Wei, Cong Shen
An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning. CoRR (2024)
Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
Random Orthogonalization for Federated Learning in Massive MIMO Systems. IEEE Trans. Wirel. Commun. 23 (3) (2024)
Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
Harnessing the Power of Federated Learning in Federated Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Shengbo Chen, Le Li, Guanghui Wang, Meng Pang, Cong Shen
Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things. IEEE Internet Things J. 11 (2) (2024)
Kun Yang, Cong Shen, Jing Yang, Shu-ping Yeh, Jerry Sydir
Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. CoRR (2023)
Kun Yang, Chengshuai Shi, Cong Shen
Teaching Reinforcement Learning Agents via Reinforcement Learning. CISS (2023)
Kun Yang, Shu-ping Yeh, Menglei Zhang, Jerry Sydir, Jing Yang, Cong Shen
Advancing RAN Slicing with Offline Reinforcement Learning. CoRR (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. CoRR (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Reward Teaching for Federated Multi-armed Bandits. ISIT (2023)
Li Fan, Ruida Zhou, Chao Tian, Cong Shen
Federated Linear Bandits with Finite Adversarial Actions. NeurIPS (2023)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Reward Teaching for Federated Multi-armed Bandits. CoRR (2023)
Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir
Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. ACSSC (2023)
Renpu Liu, Jing Yang, Cong Shen
Exploiting Feature Heterogeneity for Improved Generalization in Federated Multi-task Learning. ISIT (2023)
Yujia Mu, Cong Shen
Communication and Storage Efficient Federated Split Learning. ICC (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Reward Teaching for Federated Multiarmed Bandits. IEEE Trans. Signal Process. 71 (2023)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. ICLR (2023)
Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
On High-dimensional and Low-rank Tensor Bandits. ISIT (2023)
Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
On High-dimensional and Low-rank Tensor Bandits. CoRR (2023)
Li Fan, Ruida Zhou, Chao Tian, Cong Shen
Federated Linear Bandits with Finite Adversarial Actions. CoRR (2023)
Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. CoRR (2023)
Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences. ICC (2023)
Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. ICML (2023)
Kun Yang, Shengbo Chen, Cong Shen
On the Convergence of Hybrid Server-Clients Collaborative Training. IEEE J. Sel. Areas Commun. 41 (3) (2023)
Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
Harnessing the Power of Federated Learning in Federated Contextual Bandits. CoRR (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. ICML (2023)
Zihao Peng, Boyuan Li, Le Li, Shengbo Chen, Guanghui Wang, Hong Rao, Cong Shen
Performance Optimization for Noise Interference Privacy Protection in Federated Learning. IEEE Trans. Cogn. Commun. Netw. 9 (5) (2023)
Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
Differentially Private Wireless Federated Learning Using Orthogonal Sequences. CoRR (2023)
Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
Random Orthogonalization for Federated Learning in Massive MIMO Systems. CoRR (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. CoRR (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. CoRR (2022)
Yifei Li, Yijia Guo, Mamoun Alazab, Shengbo Chen, Cong Shen, Keping Yu
Joint Optimal Quantization and Aggregation of Federated Learning Scheme in VANETs. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
On Top-$k$ Selection From $m$-Wise Partial Rankings via Borda Counting. IEEE Trans. Signal Process. 70 (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. ICML (2022)
Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar
MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. 3 (2) (2022)
Xizixiang Wei, Cong Shen
Federated Learning Over Noisy Channels: Convergence Analysis and Design Examples. IEEE Trans. Cogn. Commun. Netw. 8 (2) (2022)
Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
On Top-k Selection from m-wise Partial Rankings via Borda Counting. CoRR (2022)
Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
Random Orthogonalization for Federated Learning in Massive MIMO Systems. ICC (2022)
Cong Shen, Jing Yang, Jie Xu
On Federated Learning with Energy Harvesting Clients. ICASSP (2022)
Duo Cheng, Ruiquan Huang, Cong Shen, Jing Yang
Cascading Bandits with Two-Level Feedback. ISIT (2022)
Kun Yang, Donghao Li, Cong Shen, Jing Yang, Shu-ping Yeh, Jerry Sydir
Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization. IEEECONF (2022)
Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
Federated Linear Contextual Bandits. NeurIPS (2021)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization. NeurIPS (2021)
Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen
(Almost) Free Incentivized Exploration from Decentralized Learning Agents. NeurIPS (2021)
Cong Shen, Michael P. Fitz
Hybrid ARQ schemes in multiple-antenna slow fading channels: A capacity perspective. ACSCC (2008)