Yachen Kang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Visual Attention

Reinforcement Learning

Geometric Structure

Top Venues

Publications

Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. AAAI (2024)
Xuyang Liu, Siteng Huang, Yachen Kang, Honggang Chen, Donglin Wang
VGDIFFZERO: Text-To-Image Diffusion Models Can Be Zero-Shot Visual Grounders. ICASSP (2024)
Yachen Kang, Jinxin Liu, Donglin Wang
Off-Dynamics Inverse Reinforcement Learning. IEEE Access 12 (2024)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. CoRR (2023)
Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang
Beyond Reward: Offline Preference-guided Policy Optimization. CoRR (2023)
Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. NeurIPS (2023)
Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization. CoRR (2023)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. NeurIPS (2023)
Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang
Beyond Reward: Offline Preference-guided Policy Optimization. ICML (2023)
Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. CoRR (2023)
Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. CoRR (2023)
Xuyang Liu, Siteng Huang, Yachen Kang, Honggang Chen, Donglin Wang
VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders. CoRR (2023)
Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. AAAI (2021)
Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. NeurIPS (2021)
Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. CoRR (2021)
Yachen Kang, Jinxin Liu, Xin Cao, Donglin Wang
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain. CoRR (2021)
Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang
Independent Skill Transfer for Deep Reinforcement Learning. IJCAI (2020)
Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. CoRR (2020)
Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Ao Tang
Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation. IJCNN (2020)
Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Yi Luo
Cross-Domain Deep Collaborative Filtering for Recommendation. ICDM Workshops (2019)
Sibo Gai, Feng Zhao, Yachen Kang, Zhengyu Chen, Donglin Wang, Ao Tang
Deep Transfer Collaborative Filtering for Recommender Systems. PRICAI (3) (2019)