Xu-Hui Liu - RankMe

18 papers A* 6A 4Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Large Language Models for Mathematical Reasoning. ACM Comput. Surv. Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, Ziniu Li, Yidi Wang, Shu Yan, Chengxing Jia, Xu-Hui Liu, Xinwei Chen, Jiacheng Xu, Yang Yu
2025	J	`jnl`	A Survey on Large Language Models for Mathematical Reasoning. CoRR Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, Yi-Di Wang, Shu Yan, Cheng-Xing Jia, Xu-Hui Liu, Xin-Wei Chen, Jia-Cheng Xu, Ziniu Li, Yang Yu
2025	A	`conf`	InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following. AAMAS Peng-Yuan Wang, Jing-Cheng Pang, Chenyang Wang, Xu-Hui Liu, Tian-Shuo Liu, Si-Hang Yang, Hong Qian, Yang Yu
2025	A*	`conf`	On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models. ICLR Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu
2025	A*	`conf`	Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning. ICLR Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu
2024	A	`conf`	Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. ICML Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu
2024	J	`jnl`	Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. CoRR Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu
2024	A	`conf`	Foresight Distribution Adjustment for Off-policy Reinforcement Learning. AAMAS Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu, Yang Yu
2024	A*	`conf`	Offline Transition Modeling via Contrastive Energy Learning. ICML Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu
2023	A	`conf`	How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. AAMAS Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
2023	J	`jnl`	How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. CoRR Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
2022	J	`jnl`	Cascaded Algorithm Selection With Extreme-Region UCB Bandit. IEEE Trans. Pattern Anal. Mach. Intell. Yi-Qi Hu, Xu-Hui Liu, Shu-Qiao Li, Yang Yu
2022	J	`jnl`	Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning. CoRR Xue-Kun Jin, Xu-Hui Liu, Shengyi Jiang, Yang Yu
2022	A*	`conf`	The Teaching Dimension of Regularized Kernel Learners. ICML Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu
2021	A*	`conf`	Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. NeurIPS Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
2021	J	`jnl`	Regret Minimization Experience Replay. CoRR Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu