Jiachen Hu

24 papers A* 8Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Learning-Enhanced Anti-Jamming Decoder for OTFS Systems: A CNN Bi-LSTM Hybrid Approach.
IEEE Trans. Cogn. Commun. Netw.
Yangyang Li, Yuhua Xu, Guoxin Li, Songyi Liu, Wenhui Liu, Jiachen Hu
2025 J jnl
Guided Model-Based Policy Search Method for Fast Motor Learning of Robots With Learned Dynamics.
IEEE Trans Autom. Sci. Eng.
Xiao Huang, Xingfang Wang, Yan Zhao, Jiachen Hu, Hui Li, Zhihong Jiang
2025 A* conf
The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability.
ICML
Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2025 J jnl
The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability.
CoRR
Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2024 J jnl
On Limitation of Transformer for Learning HMMs.
CoRR
Jiachen Hu, Qinghua Liu, Chi Jin
2024 A* conf
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret.
ICML
Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang
2024 — conf
Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits.
TQC
Jiachen Hu, Tongyang Li, Xinzhao Wang, Yecheng Xue, Chenyi Zhang, Han Zhong
2024 — conf
ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance.
FC (1)
Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath
2023 A* conf
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations.
ICLR
Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang
2023 J jnl
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret.
CoRR
Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang
2023 J jnl
ZeroSwap: Data-driven Optimal Market Making in DeFi.
CoRR
Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev R. Kulkarni, Pramod Viswanath
2022 A* conf
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver.
ICLR
Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang
2022 J jnl
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations.
CoRR
Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang
2022 A* conf
Understanding Domain Randomization for Sim-to-real Transfer.
ICLR
Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang
2021 A* conf
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL.
ICLR
Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
2021 A* conf
Near-Optimal Representation Learning for Linear Bandits and Linear RL.
ICML
Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang
2021 J jnl
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver.
CoRR
Xiaoyu Chen, Jiachen Hu, Lin F. Yang, Liwei Wang
2021 J jnl
Near-optimal Representation Learning for Linear Bandits and Linear RL.
CoRR
Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang
2021 J jnl
Understanding Domain Randomization for Sim-to-real Transfer.
CoRR
Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang
2020 — conf
Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image.
BIBM
Ruiguo Yu, Jiachen Hu, Mei Yu, Xi Wei, Han Jiang, Jialin Zhu, Zhiqiang Liu, Jie Gao, Xuewei Li
2020 A* conf
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication.
ICLR
Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
2020 J jnl
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL.
CoRR
Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
2020 — conf
Generative Adversarial Network Using Multi-modal Guidance for Ultrasound Images Inpainting.
ICONIP (1)
Ruiguo Yu, Jiachen Hu, Xi Wei, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Xuewei Li
2019 J jnl
Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret.
CoRR
Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang