Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation. - Haoxin Lin; Yihao Sun; Jiaji Zhang; Yang Yu 001 (ECAI, 2023)

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning. - Yihao Sun; Jiaji Zhang; Chengxing Jia; Haoxin Lin; Junyin Ye; Yang Yu 001 (ICML, 2023)

Fuzzy Adaptive Passive Control Strategy Design for Upper-Limb End-Effector Rehabilitation Robot. - Yang Hu; Jingyan Meng; Guoning Li; Dazheng Zhao; Guang Feng; Guokun Zuo; Yunfeng Liu; Jiaji Zhang; Changcheng Shi (Sensors, 2023)

MCR-ALS-based muscle synergy extraction method combined with LSTM neural network for motion intention detection. - Dazheng Zhao; Yehao Ma; Jingyan Meng; Yang Hu; Mengqi Hong; Jiaji Zhang; Guokun Zuo; Xiao Lv; Yunfeng Liu; Changcheng Shi (Frontiers Neurorobotics, 2023)

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. - Haoxin Lin; Hongqiu Wu; Jiaji Zhang; Yihao Sun; Junyin Ye; Yang Yu 001 (AAAI, 2024)

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation. - Zhilong Zhang; Yihao Sun; Junyin Ye; Tian-Shuo Liu; Jiaji Zhang; Yang Yu 001 (ICLR, 2024)

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (NeurIPS, 2024)

Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (CoRR, 2024)

Neural Quantum Propagators for Driven-Dissipative Quantum Dynamics. - Jiaji Zhang; Carlos L. Benavides-Riveros; Lipeng Chen (CoRR, 2024)

Object surface roughness/texture recognition using machine vision enables for human-machine haptic interaction. - Zixuan Lin; Haowei Zheng; Yue Lu; Jiaji Zhang; Guohong Chai; Guokun Zuo (Frontiers Comput. Sci., 2024)

A greedy assist-as-needed controller for end-effect upper limb rehabilitation robot based on 3-DOF potential field constraints. - Yue Lu; Zixuan Lin; Yahui Li; Jinwang Lv; Jiaji Zhang; Cong Xiao; Ye Liang; Xujiao Chen; Tao Song; Guohong Chai; Guokun Zuo (Frontiers Robotics AI, 2024)

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. - Haoxin Lin; Yu-Yan Xu; Yihao Sun; Zhilong Zhang; Yi-Chen Li 001; Chengxing Jia; Junyin Ye; Jiaji Zhang; Yang Yu 001 (ICLR, 2025)

SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models. - Jiaji Zhang; Ruichao Sun; Hailiang Zhao; Jiaju Wu; Peng Chen; Hao Li; Yuying Liu; Kingsum Chow; Gang Xiong; Shuiguang Deng (CoRR, 2025)

Toward a Lightweight and Robust Design for Caching. - Peng Chen; Hailiang Zhao; Jiaji Zhang; Xueyan Tang; Yixuan Wang; Shuiguang Deng (CoRR, 2025)