Yu Chen

21 papers A* 7B 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes.
CoRR
Yu Chen, Yuhao Liu, Jiatai Huang, Yihan Du, Longbo Huang
2026 J jnl
PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching.
CoRR
Ruishuo Chen, Yu Chen, Zhuoran Li, Longbo Huang
2025 J jnl
Continuous K-Max Bandits.
CoRR
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
2025 A* conf
Finite-Time Analysis of Discrete-Time Stochastic Interpolants.
ICML
Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang
2025 J jnl
Finite-Time Analysis of Discrete-Time Stochastic Interpolants.
CoRR
Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang
2025 J jnl
Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants.
CoRR
Yuhao Liu, Rui Hu, Yu Chen, Longbo Huang
2025 J jnl
Finite-time Convergence Analysis of Actor-Critic with Evolving Reward.
CoRR
Rui Hu, Yu Chen, Longbo Huang
2025 A* conf
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs.
ICLR
Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang
2024 J jnl
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning.
IEEE/ACM Trans. Netw.
Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang
2024 A* conf
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation.
ICML
Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2024 J jnl
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation.
CoRR
Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2024 A* conf
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback.
ICLR
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
2024 J jnl
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation.
CoRR
Tonghe Zhang, Yu Chen, Longbo Huang
2024 A* conf
Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation.
ICML
Tonghe Zhang, Yu Chen, Longbo Huang
2024 J jnl
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs.
CoRR
Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang
2023 A* conf
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs.
ICLR
Pihe Hu, Yu Chen, Longbo Huang
2022 J jnl
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning.
CoRR
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022 B conf
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning.
MobiHoc
Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang
2022 A* conf
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation.
ICML
Pihe Hu, Yu Chen, Longbo Huang
2022 J jnl
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation.
CoRR
Pihe Hu, Yu Chen, Longbo Huang
2019 J jnl
Catching Escapers: A Detection Method for Advanced Persistent Escapers in Industry Internet of Things Based on Identity-based Broadcast Encryption (IBBE).
ACM Trans. Embed. Comput. Syst.
Letian Sha, Fu Xiao, Haiping Huang, Yu Chen, Ruchuan Wang