Cross-Domain Deep Collaborative Filtering for Recommendation. - Yachen Kang; Sibo Gai; Feng Zhao 014; Donglin Wang; Yi Luo (ICDM Workshops, 2019)

Deep Transfer Collaborative Filtering for Recommender Systems. - Sibo Gai; Feng Zhao 014; Yachen Kang; Zhengyu Chen 001; Donglin Wang; Ao Tang (PRICAI (3), 2019)

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

Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation. - Yachen Kang; Sibo Gai; Feng Zhao 014; Donglin Wang; Ao Tang (IJCNN, 2020)

Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. - Siteng Huang; Min Zhang; Yachen Kang; Donglin Wang (AAAI, 2021)

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

Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain. - Yachen Kang; Jinxin Liu; Xin Cao; Donglin Wang (CoRR, 2021)

Beyond Reward: Offline Preference-guided Policy Optimization. - Yachen Kang; Diyuan Shi; Jinxin Liu; Li He; Donglin Wang (ICML, 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)

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

VGDIFFZERO: Text-To-Image Diffusion Models Can Be Zero-Shot Visual Grounders. - Xuyang Liu; Siteng Huang; Yachen Kang; Honggang Chen; Donglin Wang (ICASSP, 2024)

Off-Dynamics Inverse Reinforcement Learning. - Yachen Kang; Jinxin Liu; Donglin Wang (IEEE Access, 2024)