2026 Provably Efficient and Agile Randomized Q-Learning Wang, He, Xu, Xingyu, and Chi, Yuejie AISTATS 2026 PDF 2025 DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Wang, He, Li, Alexander Hanbo, Hu, Yiqun, Zhang, Sheng, Kobayashi, Hideo, Zhang, Jiani, Zhu, Henry, Hang, Chung-Wei, and Ng, Patrick arxiv 2025 arXiv 2024 Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes Wang, He, Shi, Laixi, and Chi, Yuejie RLC 2024 arXiv Communication-Efficient Federated Optimization over Semi-Decentralized Networks Wang, He, and Chi, Yuejie IEEE Transactions on Signal and Information Processing over Networks (TSIPN) & ICASSP 2024 arXiv PDF 2022 Distributed Optimization with Coupling Constraints Wu, Xuyang, Wang, He, and Lu, Jie Transactions on Automatic Control (TAC) 2022 arXiv PDF Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles Han, Songyang, Wang, He, Su, Sanbao, Shi, Yuanyuan, and Miao, Fei ICRA 2022 arXiv PDF 2021 Decentralized Statistical Inference with Unrolled Graph Neural Networks Wang, He, Shen, Yifei, Wang, Ziyuan, Li, Dongsheng, Zhang, Jun, Letaief, Khaled B., and Lu, Jie CDC 2021 arXiv PDF 2020 An Inexact Fenchel Dual Gradient Algorithm for Distributed Optimization Wang, He, and Lu, Jie ICCA 2020 PDF
DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulationarxiv 2025
Sample Complexity of Offline Distributionally Robust Linear Markov Decision ProcessesRLC 2024
