Zhihan Liu - RankMe

53 papers A* 9A 1B 1C 3Misc 2Journal 28Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LDM-DTI: A multimodal framework integrating pretrained language models and geometric graph networks for interpretable drug-target interaction prediction. Expert Syst. Appl. Yuanyuan Ji, Zhuo Chen, Zhihan Liu, Xiaofeng Man, Junwei Du, Bin Yu
2026	J	`jnl`	Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents. CoRR Zhihan Liu, Lin Guan, Yixin Nie, Kai Zhang, Zhuoqun Hao, Lin Chen, Asli Celikyilmaz, Zhaoran Wang, Na Zhang
2025	J	`jnl`	Agent Learning via Early Experience. CoRR Kai Zhang, Xiangchao Chen, Bo Liu, Tianci Xue, Zeyi Liao, Zhihan Liu, Xiyao Wang, Yuting Ning, Zhaorun Chen, Xiaohan Fu, Jian Xie, Yuxuan Sun, Boyu Gou, Qi Qi, Zihang Meng, Jianwei Yang, Ning Zhang, Xian Li, Ashish Shah, Dat Huynh, Hengduo Li, Zi Yang, Sara Cao, Lawrence Jang, Shuyan Zhou, Jiacheng Zhu, Huan Sun, Jason Weston, Yu Su, Yifan Wu
2025	J	`jnl`	Approximate Bayesian computation sequential Monte Carlo via random forests. Stat. Comput. Khanh N. Dinh, Cécile Liu, Zijin Xiang, Zhihan Liu, Simon Tavaré
2025	A*	`conf`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. ICML Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	J	`jnl`	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. CoRR Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang
2025	J	`jnl`	Dual Collaborative Sparse and Total Variation Regularization for Unmixing-Based Change Detection. IEEE Geosci. Remote. Sens. Lett. Shile Zhang, Yuxing Zhao, Zhihan Liu, Xiangming Jiang, Maoguo Gong
2025	J	`jnl`	HG-Net: a novel neural network with hierarchical grouped convolution for indoor fingerprint positioning. Clust. Comput. Xiangxu Meng, Wei Li, Zhihan Liu, Junze Yang, Wenqi Zheng
2025	A*	`conf`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. ICML Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2025	J	`jnl`	Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. Trans. Mach. Learn. Res. Shenao Zhang, Donghan Yu, Hiteshi Sharma, Han Zhong, Zhihan Liu, Ziyi Yang, Shuohang Wang, Hany Hassan Awadalla, Zhaoran Wang
2025	J	`jnl`	Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jian Li, Junrui Kang, Ji Qi, Jian Lu, Hongkun Fu, Baoqi Liu, Xinglei Lin, Jiawei Zhao, Hengxu Guan, Jing Chang, Zhihan Liu
2025	—	`conf`	Toward Optimal LLM Alignments Using Two-Player Games. EMNLP (Findings) Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Yang Liu, Hang Li
2024	J	`jnl`	Can Large Language Models Play Games? A Case Study of A Self-Play Approach. CoRR Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang
2024	J	`jnl`	DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs. CoRR Zhihan Liu, Shenao Zhang, Zhaoran Wang
2024	J	`jnl`	Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following. CoRR Yuxiao Yang, Shenao Zhang, Zhihan Liu, Huaxiu Yao, Zhaoran Wang
2024	J	`jnl`	How Can LLM Guide RL? A Value-Based Approach. CoRR Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang
2024	J	`jnl`	Just say what you want: only-prompting self-rewarding online preference optimization. CoRR Ruijie Xu, Zhihan Liu, Yongfei Liu, Shipeng Yan, Zhaoran Wang, Zhi Zhang, Xuming He
2024	A*	`conf`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. NeurIPS Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	J	`jnl`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	A*	`conf`	Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. ICML Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
2024	J	`jnl`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2024	A*	`conf`	Sample-Efficient Multi-Agent RL: An Optimization Perspective. ICLR Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
2024	J	`jnl`	Toward Optimal LLM Alignments Using Two-Player Games. CoRR Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu
2024	J	`jnl`	Towards Fully Autonomous Research Powered by LLMs: Case Study on Simulations. CoRR Zhihan Liu, Yubo Chai, Jianfeng Li
2023	J	`jnl`	A Principled Framework for Knowledge-enhanced Large Language Model. CoRR Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo
2023	J	`jnl`	A Real-Time Pedestrian Social Distancing Risk Alert System for COVID-19. Comput. Syst. Sci. Eng. Zhihan Liu, Xiang Li, Siqi Liu, Wei Li, Xiangxu Meng, Jing Jia
2023	—	`conf`	Detformer: Detect the Reliable Attention Index for Ultra-long Time Series Forecasting. ICIC (5) Xiangxu Meng, Wei Li, Zheng Zhao, Zhihan Liu, Guangsheng Feng, Huiqiang Wang
2023	A*	`conf`	Guarded Policy Optimization with Imperfect Online Demonstrations. ICLR Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
2023	J	`jnl`	Guarded Policy Optimization with Imperfect Online Demonstrations. CoRR Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
2023	—	`conf`	Hierarchical Contrastive Learning for CSI-Based Fingerprint Localization. ICANN (8) Xiangxu Meng, Wei Li, Zheng Zhao, Zhihan Liu, Huiqiang Wang
2023	A*	`conf`	Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. NeurIPS Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
2023	J	`jnl`	One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. CoRR Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
2023	J	`jnl`	Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. CoRR Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang
2023	J	`jnl`	Sample-Efficient Multi-Agent RL: An Optimization Perspective. CoRR Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
2023	Misc	`conf`	Vulnerability Detection Based on Unified Code Property Graph. WISA Wei Li, Xiang Li, Wanzheng Feng, Guanglu Jin, Zhihan Liu, Jing Jia
2023	Misc	`conf`	X-ray Prohibited Items Recognition Based on Improved YOLOv5. WISA Wei Li, Xiang Li, Wanxin Liu, Zhihan Liu, Jing Jia, Jiayi Li
2022	A*	`conf`	Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. ICML Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. ICML Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2021	J	`jnl`	Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. CoRR Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2019	B	`conf`	3D Trajectory Optimization for Secure UAV Communication with CoMP Reception. GLOBECOM Jianping Yao, Canhui Zhong, Zhihan Liu, Jie Xu
2019	J	`jnl`	3D Trajectory Optimization for Secure UAV Communication with CoMP Reception. CoRR Jianping Yao, Canhui Zhong, Zhihan Liu, Jie Xu
2018	J	`jnl`	Robust energy efficiency power allocation for relay-assisted uplink cognitive radio networks. Wirel. Networks Zhihan Liu, Xiaohui Zhao, Hui Liang
2017	—	`conf`	A Rush-Hour Vehicles Scheduling Strategy in Online Car-Sharing System Based on Urban Trajectory Data Analysis. IOV Xintong Wang, Zhihan Liu, Yi Jia
2017	C	`conf`	Comparing Electricity Consumer Categories Based on Load Pattern Clustering with Their Natural Types. ICA3PP Zigui Jiang, Rongheng Lin, Fangchun Yang, Zhihan Liu, Qiqi Zhang
2017	A	`conf`	Learning Transportation Mode Choice for Context-Aware Services with Directed-Graph-Guided Fused Lasso from GPS Trajectory Data. ICWS Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang
2017	J	`jnl`	Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing. Int. J. Distributed Sens. Networks Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang
2016	—	`conf`	A Joint Grid Segmentation Based Affinity Propagation Clustering Method for Big Data. HPCC/SmartCity/DSS Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang
2015	—	`conf`	A Full Service Model for Vehicle Scheduling in One-Way Electric Vehicle Car-Sharing Systems. IOV Hongman Wang, Zhaohan Li, Xiaolu Zhu, Zhihan Liu
2015	—	`conf`	Optimization Approach to Depot Location in Car Sharing Systems with Big Data. BigData Congress Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang
2014	C	`conf`	POC: An Optimization Strategy of EV Efficient Travelling. APSCC Jiayuan Li, Jinglin Li, Zhihan Liu
2014	C	`conf`	Tree-Structured Network Based Hierarchical Complex Event Processing in Wireless Sensor Networks. APSCC Mengyuan Xu, Zhihan Liu, Jinglin Li
2012	—	`conf`	A novel development and analysis solution to PaaS log by using CouchDB. IC-NIDC Zhihan Liu, Yuhua Wang, Rongheng Lin
2007	—	`conf`	Artificial Immune-based Feature Interaction Detection and Resolution for Next Generation Networks. ICFI Hua Liu, Zhihan Liu, Fangchun Yang, Jianyin Zhang