| 2026 | ISIT | Hybrid Zeroth- and First-Order Split Federated Learning with Dimension-Free Convergence. | Zhoubin Kou, Zihan Chen, Jing Yang, Cong Shen |
| 2025 | AISTATS | A Shared Low-Rank Adaptation Approach to Personalized RLHF. | Renpu Liu, Peng Wang, Donghao Li, Cong Shen, Jing Yang |
| 2025 | AISTATS | Cost-Aware Optimal Pairwise Pure Exploration. | Di Wu, Chengshuai Shi, Ruida Zhou, Cong Shen |
| 2025 | EMNLP | From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. | Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li |
| 2025 | EMNLP | Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. | Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li |
| 2025 | GLOBECOM | Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection. | Li Fan, Peng Wang, Jing Yang, Cong Shen |
| 2025 | ICASSP | Multi-Agent Decision Transformer for Power Control in Wireless Networks. | Yiming Zhang, Kun Yang, Cong Shen, Dongning Guo |
| 2025 | ICLR | Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning. | Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang |
| 2025 | ICLR | On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery. | Renpu Liu, Ruida Zhou, Cong Shen, Jing Yang |
| 2025 | ICML | MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. | Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen |
| 2025 | ICML | On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures. | Wei Shen, Ruida Zhou, Jing Yang, Cong Shen |
| 2025 | KDD | Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. | Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li |
| 2025 | KDD | The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2025 | MICCAI | DCT-Net: Dual-Branch CT Reconstruction from Orthogonal X-Rays with Diffusion Model and Contrastive Learning. | Zhiyu Zhang, Cong Shen, Jijun Tang, Zhijun Liao |
| 2025 | UAI | Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis. | Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang |
| 2024 | ACL | FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. | Zihan Chen, Song Wang, Cong Shen, Jundong Li |
| 2024 | ACSSC | Average Reward Reinforcement Learning for Wireless Radio Resource Management. | Kun Yang, Jing Yang, Cong Shen |
| 2024 | AISTATS | Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. | Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen |
| 2024 | ICASSP | Personalized Federated Learning with Attention-Based Client Selection. | Zihan Chen, Jundong Li, Cong Shen |
| 2024 | ICASSP | CoSLR: Contrastive Chinese Sign Language Recognition with prior knowledge And Multi-Tasks Joint Learning. | Tian Yang, Cong Shen, Tiantian Yuan |
| 2024 | ICML | Federated Representation Learning in the Under-Parameterized Regime. | Renpu Liu, Cong Shen, Jing Yang |
| 2024 | ICML | Verification of Machine Unlearning is Fragile. | Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li |
| 2024 | KDD | The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2024 | KDD | NL2Code-Reasoning and Planning with LLMs for Code Development. | Ye Xing, Jun Huan, Wee Hyong Tok, Cong Shen, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan |
| 2024 | VEHITS | A Prototype Preceding Vehicle Identification System Development and Field Evaluation. | Zeyu Mu, Guancheng Tu, Austin Shi, Kun Yang, Yixin Sun, Cong Shen, B. Brian Park |
| 2023 | ACSSC | Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets. | Kun Yang, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir |
| 2023 | CISS | Federated Learning via Indirect Server-Client Communications. | Jieming Bian, Cong Shen, Jie Xu |
| 2023 | CISS | Teaching Reinforcement Learning Agents via Reinforcement Learning. | Kun Yang, Chengshuai Shi, Cong Shen |
| 2023 | GLOBECOM | MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. | Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton |
| 2023 | ICLR | Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. | Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang |
| 2023 | ICML | Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints. | Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang |
| 2023 | ICML | Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. | Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang |
| 2023 | ISIT | Exploiting Feature Heterogeneity for Improved Generalization in Federated Multi-task Learning. | Renpu Liu, Jing Yang, Cong Shen |
| 2023 | ISIT | On High-dimensional and Low-rank Tensor Bandits. | Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos |
| 2023 | ISIT | Reward Teaching for Federated Multi-armed Bandits. | Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang |
| 2023 | KDD | The 9th SIGKDD International Workshop on Mining and Learning from Time Series. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka |
| 2022 | ACSSC | Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization. | Kun Yang, Donghao Li, Cong Shen, Jing Yang, Shu-Ping Yeh, Jerry Sydir |
| 2022 | CISS | On the Convergence of Hybrid Federated Learning with Server-Clients Collaborative Training. | Kun Yang, Cong Shen |
| 2022 | ICASSP | On Federated Learning with Energy Harvesting Clients. | Cong Shen, Jing Yang, Jie Xu |
| 2022 | ICML | A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. | Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang |
| 2022 | INFOCOM | Learning for Robust Combinatorial Optimization: Algorithm and Application. | Zhihui Shao, Jianyi Yang, Cong Shen, Shaolei Ren |
| 2022 | ISIT | Cascading Bandits with Two-Level Feedback. | Duo Cheng, Ruiquan Huang, Cong Shen, Jing Yang |
| 2022 | ISIT | Optimizing Federated Averaging over Fading Channels. | Yujia Mu, Cong Shen, Yonina C. Eldar |
| 2022 | KDD | 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. | Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka |
| 2021 | AAAI | Federated Multi-Armed Bandits. | Chengshuai Shi, Cong Shen |
| 2021 | AISTATS | SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. | Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar |
| 2021 | AISTATS | Federated Multi-armed Bandits with Personalization. | Chengshuai Shi, Cong Shen, Jing Yang |
| 2021 | GLOBECOM | A Machine Learning Approach for Rate Prediction in Multicast File-stream Distribution Networks. | Yujia Mu, Yuanlong Tan, Malathi Veeraraghavan, Cong Shen |
| 2021 | ISIT | An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits. | Chengshuai Shi, Cong Shen |
| 2021 | SMC | CRB-Net: A Sign Language Recognition Deep Learning Strategy Based on Multi-modal Fusion with Attention Mechanism. | Feng Xiao, Cong Shen, Tiantian Yuan, Shengyong Chen |
| 2020 | ACSSC | Thresholded Wirtinger Flow for Fast Millimeter Wave Beam Alignment. | Chao Gan, Jing Yang, Cong Shen |
| 2020 | ACSSC | MIMO Receive Antenna Selection via Deep Learning and Greedy Adaptation. | Cong Shen, Donghao Li, Jing Yang |
| 2020 | AISTATS | Contextual Constrained Learning for Dose-Finding Clinical Trials. | Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar |
| 2020 | AISTATS | Decentralized Multi-player Multi-armed Bandits with No Collision Information. | Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang |
| 2020 | AISTATS | Stochastic Linear Contextual Bandits with Diverse Contexts. | Weiqiang Wu, Jing Yang, Cong Shen |
| 2020 | ICML | Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. | Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar |
| 2020 | INFOCOM | Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study. | Kun Yang, Cong Shen, Tie Liu |
| 2020 | ISIT | On Top-k Selection from m-wise Partial Rankings via Borda Counting. | Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen |
| 2020 | ITA | Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. | Chao Gan, Ruida Zhou, Jing Yang, Cong Shen |
| 2019 | GLOBECOM | Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. | Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu |
| 2019 | ISCC | GreenFlowing: A Green Way of Reducing Electricity Cost for Cloud Data Center Using Heterogeneous ESDs. | Chonglin Gu, Wenye Li, Cong Shen, Shuguang Cui |
| 2019 | ISIT | Online Learning with Diverse User Preferences. | Chao Gan, Jing Yang, Ruida Zhou, Cong Shen |
| 2018 | AISTATS | Regional Multi-Armed Bandits. | Zhiyang Wang, Ruida Zhou, Cong Shen |
| 2018 | GLOBECOM | Sparse Spectrum Reuse in HetNets with Relays. | Shengda Jin, Zhaowei Zhu, Cong Shen, Sadiq Ali, Hua Qian, Xiliang Luo |
| 2018 | ICASSP | How to Interconnect for Massive Mimo Self-Calibration? | Fuqian Yang, Hanyu Zhu, Cong Shen, Linglong Dai, Xiliang Luo |
| 2018 | IJCAI | Cost-aware Cascading Bandits. | Ruida Zhou, Chao Gan, Jing Yang, Cong Shen |
| 2018 | ISIT | New Results on Multilevel Diversity Coding with Secure Regeneration. | Shuo Shao, Tie Liu, Chao Tian, Cong Shen |
| 2018 | ITW | Best Arm Identification for Both Stochastic and Adversarial Multi-armed Bandits. | Hantao Zhang, Cong Shen |
| 2017 | ISIT | On the tradeoff region of secure exact-repair regenerating codes. | Shuo Shao, Tie Liu, Chao Tian, Cong Shen |
| 2017 | ITA | On scheduling policies in the presence of heavy-tailed interference. | Hang Wu, Cong Shen, Shengbo Chen |
| 2017 | IWCMC | Aligning DL paths for scalable CSI feedback in FDD massive MIMO. | Xiliang Luo, Penghao Cai, Xiaoyu Zhang, Cong Shen, Hua Qian |
| 2017 | WCNC | A Cyber-Physical Design for Indoor Temperature Monitoring Using Wireless Sensor Networks. | Cong Shen, Shengbo Chen |
| 2017 | WCNC | A Learning Approach to Frequent Handover Mitigations in 3GPP Mobility Protocols. | Cong Shen, Mihaela van der Schaar |
| 2017 | WCNC | Dynamic User Association in Enterprise Small Cell Networks with Hybrid Access. | Xiaoxiao Wang, Cong Shen |
| 2016 | CISS | User association with lighting constraints in visible light communication systems. | Cong Shen, Shun Lou, Chen Gong, Zhengyuan Xu |
| 2016 | GLOBECOM | DARC: Timely Classification with Randomly Delayed Features. | Jie Xu, Qi Cai, Cong Shen |
| 2016 | ICASSP | A unified approach to the design of IIR and FIR notch filters. | Yi Jiang, Cong Shen, Jianxin Dai |
| 2016 | ISIT | On layered erasure interference channels without CSI at transmitters. | Yan Zhu, Cong Shen |
| 2015 | GECCO | Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated Annealing. | Paul Kaufmann, Cong Shen |
| 2015 | WCNC | An uplink interference analysis for massive MIMO systems with MRC and ZF receivers. | Ning Liang, Wenyi Zhang, Cong Shen |
| 2014 | GLOBECOM | Silence is gold: Strategic small cell interference management using tokens. | Cong Shen, Jie Xu, Mihaela van der Schaar |
| 2011 | GLOBECOM | A Low-Delay Low-Complexity EKF Design for Joint Channel and CFO Estimation in Multi-User Cognitive Communications. | Pengkai Zhao, Cong Shen |
| 2010 | ITA | Adaptive spectrum sensing. | Wenyi Zhang, Ahmed K. Sadek, Cong Shen, Stephen J. Shellhammer |
| 2009 | CISS | Throughput scaling laws for dual-radio random wireless networks. | Jinjing Jiang, John Z. Yu, Cong Shen |
| 2009 | CISS | Dynamic spatial spectrum access with opportunistic orthogonalization. | Cong Shen, Michael P. Fitz |
| 2008 | ACSSC | Hybrid ARQ schemes in multiple-antenna slow fading channels: A capacity perspective. | Cong Shen, Michael P. Fitz |
| 2008 | ISIT | A utility maximization approach to the design of unequal error protection with multilevel codes. | Cong Shen, Michael P. Fitz |
| 2007 | WCNC | Generalized Soft-Output Layered Orthogonal Lattice Detector for Golden Code. | Cong Shen, Michael P. Fitz, Massimiliano Siti |
| 2006 | GLOBECOM | MIMO-OFDM Beamforming for Improved Channel Estimation. | Cong Shen, Michael P. Fitz |
| 2005 | ICASSP | On the effectiveness of cooperative diversity in ad hoc networks: a MAC layer study. | Haitao Zheng, Yan Zhu, Cong Shen, Xiaodong Wang |
| 2004 | GLOBECOM | On the performance of V-BLAST with zero-forcing successive interference cancellation receiver. | Cong Shen, Yan Zhu, Shidong Zhou, Jinjing Jiang |
| 2003 | PIMRC | A novel spectral efficient transmit precoder scheme based on channel feedback. | Cong Shen, Lin Dai, Shidong Zhou, Yan Yao |
| 2003 | PIMRC | Performance improvement of V-BLAST through an iterative approach. | Cong Shen, Hairuo Zhuang, Lin Dai, Shidong Zhou, Yan Yao |