Time Series Prediction with Interpretable Data Reconstruction. - Qiangxing Tian; Jinxin Liu; Donglin Wang; Ao Tang (CIKM, 2019)

Preferential Experience Collection with Frequency based Intrinsic Reward for Deep Reinforcement Learning. - Hongyin Zhang; Qiangxing Tian; Donglin Wang; Kaichen Wei (ICTAI, 2020)

Independent Skill Transfer for Deep Reinforcement Learning. - Qiangxing Tian; Guanchu Wang; Jinxin Liu; Donglin Wang; Yachen Kang (IJCAI, 2020)

Multivariate Time Series Prediction with PID-based Residual Compensation. - Jinxin Liu; Qiangxing Tian; Donglin Wang (IJCNN, 2020)

Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning. - Qiangxing Tian; Jinxin Liu; Guanchu Wang; Donglin Wang (IJCNN, 2021)

Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. - Jinxin Liu; Hao Shen; Donglin Wang; Yachen Kang; Qiangxing Tian (NeurIPS, 2021)

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. - Jinxin Liu; Donglin Wang; Qiangxing Tian; Zhengyu Chen 001 (AAAI, 2022)

GSC: A graph-based skill composition framework for robot learning. - Qiangxing Tian; Shanshan Zhang; Donglin Wang; Jinxin Liu; Shuyu Yang (Robotics Auton. Syst., 2024)