Yachen Kang - RankMe

22 papers A* 7B 1Misc 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reinforced Embodied Planning with Verifiable Reward for Real-World Robotic Manipulation. CoRR Zitong Bo, Yue Hu, Jinming Ma, Mingliang Zhou, Junhui Yin, Yachen Kang, Yuqi Liu, Tong Wu, Diyun Xiang, Hao Chen
2024	A*	`conf`	Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. AAAI Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
2024	J	`jnl`	Off-Dynamics Inverse Reinforcement Learning. IEEE Access Yachen Kang, Jinxin Liu, Donglin Wang
2024	Misc	`conf`	VGDIFFZERO: Text-To-Image Diffusion Models Can Be Zero-Shot Visual Grounders. ICASSP Xuyang Liu, Siteng Huang, Yachen Kang, Honggang Chen, Donglin Wang
2023	J	`jnl`	Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. CoRR Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
2023	A*	`conf`	Beyond Reward: Offline Preference-guided Policy Optimization. ICML Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang
2023	J	`jnl`	Beyond Reward: Offline Preference-guided Policy Optimization. CoRR Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang
2023	A*	`conf`	CEIL: Generalized Contextual Imitation Learning. NeurIPS Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
2023	J	`jnl`	CEIL: Generalized Contextual Imitation Learning. CoRR Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
2023	A*	`conf`	Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. NeurIPS Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
2023	J	`jnl`	Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. CoRR Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
2023	J	`jnl`	STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization. CoRR Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang
2023	J	`jnl`	VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders. CoRR Xuyang Liu, Siteng Huang, Yachen Kang, Honggang Chen, Donglin Wang
2021	A*	`conf`	Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. AAAI Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang
2021	J	`jnl`	Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain. CoRR Yachen Kang, Jinxin Liu, Xin Cao, Donglin Wang
2021	A*	`conf`	Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. NeurIPS Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
2021	J	`jnl`	Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning. CoRR Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
2020	J	`jnl`	Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. CoRR Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang
2020	B	`conf`	Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation. IJCNN Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Ao Tang
2020	A*	`conf`	Independent Skill Transfer for Deep Reinforcement Learning. IJCAI Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang
2019	—	`conf`	Cross-Domain Deep Collaborative Filtering for Recommendation. ICDM Workshops Yachen Kang, Sibo Gai, Feng Zhao, Donglin Wang, Yi Luo
2019	—	`conf`	Deep Transfer Collaborative Filtering for Recommender Systems. PRICAI (3) Sibo Gai, Feng Zhao, Yachen Kang, Zhengyu Chen, Donglin Wang, Ao Tang