Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret. - Yuanhao Wang 001; Jiachen Hu; Xiaoyu Chen 008; Liwei Wang 001 (CoRR, 2019)

Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image. - Ruiguo Yu; Jiachen Hu; Mei Yu 004; Xi Wei 002; Han Jiang 004; Jialin Zhu; Zhiqiang Liu 002; Jie Gao 008; Xuewei Li 001 (BIBM, 2020)

Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. - Yuanhao Wang 001; Jiachen Hu; Xiaoyu Chen 008; Liwei Wang 001 (ICLR, 2020)

Generative Adversarial Network Using Multi-modal Guidance for Ultrasound Images Inpainting. - Ruiguo Yu; Jiachen Hu; Xi Wei 002; Mei Yu 004; Jialin Zhu; Jie Gao 008; Zhiqiang Liu 002; Xuewei Li 001 (ICONIP (1), 2020)

Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL. - Xiaoyu Chen 008; Jiachen Hu; Lihong Li 001; Liwei Wang 001 (ICLR, 2021)

Near-Optimal Representation Learning for Linear Bandits and Linear RL. - Jiachen Hu; Xiaoyu Chen 008; Chi Jin 001; Lihong Li 001; Liwei Wang 001 (ICML, 2021)

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver. - Xiaoyu Chen 008; Jiachen Hu; Lin Yang 011; Liwei Wang 001 (ICLR, 2022)

Understanding Domain Randomization for Sim-to-real Transfer. - Xiaoyu Chen 008; Jiachen Hu; Chi Jin 001; Lihong Li 001; Liwei Wang 001 (ICLR, 2022)

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. - Jiachen Hu; Han Zhong 001; Chi Jin 001; Liwei Wang 001 (ICLR, 2023)

ZeroSwap: Data-driven Optimal Market Making in DeFi. - Viraj Nadkarni; Jiachen Hu; Ranvir Rana; Chi Jin 001; Sanjeev R. Kulkarni; Pramod Viswanath (CoRR, 2023)

ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance. - Viraj Nadkarni; Jiachen Hu; Ranvir Rana; Chi Jin 001; Sanjeev Kulkarni 001; Pramod Viswanath (FC (1), 2024)

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. - Han Zhong 001; Jiachen Hu; Yecheng Xue; Tongyang Li; Liwei Wang 001 (ICML, 2024)

Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits. - Jiachen Hu; Tongyang Li; Xinzhao Wang; Yecheng Xue; Chenyi Zhang 003; Han Zhong 001 (TQC, 2024)

On Limitation of Transformer for Learning HMMs. - Jiachen Hu; Qinghua Liu; Chi Jin 001 (CoRR, 2024)

Guided Model-Based Policy Search Method for Fast Motor Learning of Robots With Learned Dynamics. - Xiao Huang 004; Xingfang Wang; Yan Zhao; Jiachen Hu; Hui Li 047; Zhihong Jiang (IEEE Trans Autom. Sci. Eng., 2025)

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. - Jiachen Hu; Rui Ai 002; Han Zhong 001; Xiaoyu Chen 008; Liwei Wang 001; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2025)