Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network. - Tiancheng Huang; Zifeng Zhuang; Shanshan Zhang; Donglin Wang (CIKM, 2020)

HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network. - Zifeng Zhuang; Xintao Xiang; Siteng Huang; Donglin Wang (ICMR, 2021)

The Continuous Time Dynamical Analysis of Heart Rate Asymmetry. - Yi-Horng Lai; Jiahan Yu; Kun Su; Lin Lan; Zexin Li; Zequn Zhang; Zifeng Zhuang (CECNet, 2022)

Behavior Proximal Policy Optimization. - Zifeng Zhuang; Kun Lei; Jinxin Liu; Donglin Wang; Yilang Guo (ICLR, 2023)

CEIL: Generalized Contextual Imitation Learning. - Jinxin Liu; Li He; Yachen Kang; Zifeng Zhuang; Donglin Wang; Huazhe Xu (NeurIPS, 2023)

Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. - Jinxin Liu; Hongyin Zhang; Zifeng Zhuang; Yachen Kang; Donglin Wang; Bin Wang (NeurIPS, 2023)

RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning. - Min Zhang; Zifeng Zhuang; Zhitao Wang; Donglin Wang; Wenbin Li (CoRR, 2023)

STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization. - Yachen Kang; Li He; Jinxin Liu; Zifeng Zhuang; Donglin Wang (CoRR, 2023)

SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning. - Ziqi Zhang; Xiao Xiong; Zifeng Zhuang; Jinxin Liu; Donglin Wang (CoRR, 2023)

RSG: Fast Learning Adaptive Skills for Quadruped Robots by Skill Graph. - Hongyin Zhang; Diyuan Shi; Zifeng Zhuang; Han Zhao 008; Zhenyu Wei; Feng Zhao 014; Sibo Gai; Shangke Lyu; Donglin Wang (CoRR, 2023)

Adaptive Proximal Policy Optimization with Upper Confidence Bound. - Ziqi Zhang; Jingzehua Xu; Zifeng Zhuang; Jinxin Liu; Donglin Wang (CoRR, 2023)

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. - Jinxin Liu; Ziqi Zhang; Zhenyu Wei; Zifeng Zhuang; Yachen Kang; Sibo Gai; Donglin Wang (AAAI, 2024)

RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning. - Min Zhang; Zifeng Zhuang; Zhitao Wang; Donglin Wang (ICME, 2024)

DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation. - Jinxin Liu; Xinghong Guo; Zifeng Zhuang; Donglin Wang (ICML, 2024)

Reinformer: Max-Return Sequence Modeling for Offline RL. - Zifeng Zhuang; Dengyun Peng; Jinxin Liu; Ziqi Zhang; Donglin Wang (ICML, 2024)

Context-Former: Stitching via Latent Conditioned Sequence Modeling. - Ziqi Zhang; Jingzehua Xu; Zifeng Zhuang; Jinxin Liu; Donglin Wang (CoRR, 2024)

ADR-BC: Adversarial Density Weighted Regression Behavior Cloning. - Ziqi Zhang; Zifeng Zhuang; Donglin Wang; Jingzehua Xu; Miao Liu; Shuai Zhang (CoRR, 2024)

Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming. - Xing Lei; Xuetao Zhang; Zifeng Zhuang; Donglin Wang (CoRR, 2024)

TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control. - Zifeng Zhuang; Diyuan Shi; Runze Suo; Xiao He; Hongyin Zhang; Ting Wang; Shangke Lyu; Donglin Wang (CoRR, 2025)

ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning. - Hongyin Zhang; Zifeng Zhuang; Han Zhao 008; Pengxiang Ding; Hongchao Lu; Donglin Wang (CoRR, 2025)

VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL. - Fengyuan Dai; Zifeng Zhuang; Yufei Huang 002; Siteng Huang; Bangyan Liao; Donglin Wang; Fajie Yuan (CoRR, 2025)

Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only. - Wei Xiao; Jiacheng Liu; Zifeng Zhuang; Runze Suo; Shangke Lyu; Donglin Wang (CoRR, 2025)

Bridging Supervised and Temporal Difference Learning with Q-Conditioned Maximization. - Xing Lei; Zifeng Zhuang; Shentao Yang; Sheng Xu; Yunhao Luo 005; Fei Shen; Xuetao Zhang; Donglin Wang (CoRR, 2025)