Li Zhao - RankMe

86 papers A* 40A 3C 3Journal 38Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. ICML Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
2025	J	`jnl`	AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. CoRR Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
2025	A*	`conf`	AgentIR: 2nd Workshop on Agent-based Information Retrieval. SIGIR Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2025	J	`jnl`	Beyond Human Demonstrations: Diffusion-Based Reinforcement Learning to Generate Data for VLA Training. CoRR Rushuai Yang, Hangxing Wei, Ran Zhang, Zhiyuan Feng, Xiaoyu Chen, Tong Li, Chuheng Zhang, Li Zhao, Jiang Bian, Xiu Su, Yi Chen
2025	J	`jnl`	Co-Evolving Latent Action World Models. CoRR Yucen Wang, Fengming Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
2025	A*	`conf`	DPO Meets PPO: Reinforced Token Optimization for RLHF. ICML Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang
2025	J	`jnl`	Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories. CoRR Rushuai Yang, Zhiyuan Feng, Tianxiang Zhang, Kaixin Wang, Chuheng Zhang, Li Zhao, Xiu Su, Yi Chen, Jiang Bian
2025	J	`jnl`	Dyn-O: Building Structured World Models with Object-Centric Representations. CoRR Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
2025	J	`jnl`	How Do VLAs Effectively Inherit from VLMs? CoRR Chuheng Zhang, Rushuai Yang, Xiaoyu Chen, Kaixin Wang, Li Zhao, Yi Chen, Jiang Bian
2025	J	`jnl`	PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models. CoRR Jiansong Wan, Chengming Zhou, Jinkua Liu, Xiangge Huang, Xiaoyu Chen, Xiaohan Yi, Qisen Yang, Baiting Zhu, Xin-Qiang Cai, Lixing Liu, Rushuai Yang, Chuheng Zhang, Sherif Abdelfattah, Hayong Shin, Pushi Zhang, Li Zhao, Jiang Bian
2025	A*	`conf`	Policy Filtration for RLHF to Mitigate Noise in Reward Models. ICML Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
2025	A*	`conf`	Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. ICLR Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
2025	J	`jnl`	What Do Latent Action Models Actually Learn? CoRR Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
2025	J	`jnl`	villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models. CoRR Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian
2024	A*	`conf`	AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024	J	`jnl`	DPO Meets PPO: Reinforced Token Optimization for RLHF. CoRR Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
2024	A*	`conf`	Diversification of Adaptive Policy for Effective Offline Reinforcement Learning. IJCAI Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim
2024	J	`jnl`	Empowering Large Language Models on Robotic Manipulation with Affordance Prompting. CoRR Guangran Cheng, Chuheng Zhang, Wenzhe Cai, Li Zhao, Changyin Sun, Jiang Bian
2024	—	`conf`	Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. ACL (1) Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2024	J	`jnl`	Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. CoRR Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim
2024	J	`jnl`	IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI. CoRR Xiaoyu Chen, Junliang Guo, Tianyu He, Chuheng Zhang, Pushi Zhang, Derek Yang, Li Zhao, Jiang Bian
2024	J	`jnl`	Video In-context Learning. CoRR Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
2023	J	`jnl`	A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management. CoRR Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian
2023	J	`jnl`	Asking Before Action: Gather Information in Embodied Decision Making with Language Models. CoRR Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen
2023	A	`conf`	Curriculum Offline Reinforcement Learning. AAMAS Yuanying Cai, Chuheng Zhang, Hanye Zhao, Li Zhao, Jiang Bian
2023	A	`conf`	DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. CIKM Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2023	A*	`conf`	Distributional Pareto-Optimal Multi-Objective Reinforcement Learning. NeurIPS Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens
2023	A*	`conf`	H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. AAAI Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian
2023	J	`jnl`	H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem. CoRR Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian
2023	A*	`conf`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	J	`jnl`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	A*	`conf`	Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. AAAI Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
2023	J	`jnl`	Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. CoRR Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
2023	J	`jnl`	Pre-Trained Large Language Models for Industrial Control. CoRR Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian
2023	A*	`conf`	Robust Situational Reinforcement Learning in Face of Context Disturbances. ICML Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian
2023	A*	`conf`	Towards Generalizable Reinforcement Learning for Trade Execution. IJCAI Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao
2023	J	`jnl`	Towards Generalizable Reinforcement Learning for Trade Execution. CoRR Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Jian Li, Li Zhao
2022	A*	`conf`	An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. NeurIPS Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
2022	J	`jnl`	An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. CoRR Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
2022	A*	`conf`	DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2022	C	`conf`	Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoG Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu
2022	J	`jnl`	Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoRR Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu
2022	J	`jnl`	Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management. CoRR Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian
2022	A*	`conf`	TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
2022	J	`jnl`	TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
2022	A*	`conf`	Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. NeurIPS Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
2022	J	`jnl`	Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. CoRR Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
2022	A*	`conf`	Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. ICLR Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
2022	J	`jnl`	Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. CoRR Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
2021	A*	`conf`	Curriculum Offline Imitating Learning. NeurIPS Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
2021	J	`jnl`	Curriculum Offline Imitation Learning. CoRR Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
2021	A*	`conf`	DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. SIGIR Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang
2021	J	`jnl`	Demonstration actor critic. Neurocomputing Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2021	A*	`conf`	Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. NeurIPS Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. CoRR Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	Independence-aware Advantage Estimation. IJCAI Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. NeurIPS Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021	J	`jnl`	Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. CoRR Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021	A*	`conf`	Return-Based Contrastive Representation Learning for Reinforcement Learning. ICLR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2021	J	`jnl`	Return-Based Contrastive Representation Learning for Reinforcement Learning. CoRR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2020	A*	`conf`	Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. SIGIR Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel
2020	A*	`conf`	Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie
2020	A*	`conf`	RD$^2$: Reward Decomposition with Representation Decomposition. NeurIPS Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu
2020	J	`jnl`	Suphx: Mastering Mahjong with Deep Reinforcement Learning. CoRR Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon
2019	A*	`conf`	Distributional Reward Decomposition for Reinforcement Learning. NeurIPS Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang
2019	J	`jnl`	Distributional Reward Decomposition for Reinforcement Learning. CoRR Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
2019	A*	`conf`	Fully Parameterized Quantile Function for Distributional Reinforcement Learning. NeurIPS Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019	J	`jnl`	Fully Parameterized Quantile Function for Distributional Reinforcement Learning. CoRR Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019	A*	`conf`	Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. KDD Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
2019	A*	`conf`	Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction. KDD Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu
2019	J	`jnl`	Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. IEEE ACM Trans. Audio Speech Lang. Process. Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu
2019	A*	`conf`	Trust Region Evolution Strategies. AAAI Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2019	C	`conf`	Unified Policy Optimization for Robust Reinforcement Learning. ACML Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang
2018	C	`conf`	Adversarial Neural Machine Translation. ACML Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018	A*	`conf`	Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. AAAI Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu
2018	—	`conf`	Efficient Sequence Learning with Group Recurrent Networks. NAACL-HLT Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu
2018	A*	`conf`	Learning Structured Representation for Text Classification via Reinforcement Learning. AAAI Tianyang Zhang, Minlie Huang, Li Zhao
2018	A*	`conf`	Reinforcement Learning for Relation Classification From Noisy Data. AAAI Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu
2018	J	`jnl`	Reinforcement Learning for Relation Classification from Noisy Data. CoRR Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu
2018	A*	`conf`	Word Attention for Sequence to Sequence Text Understanding. AAAI Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu
2017	J	`jnl`	Adversarial Neural Machine Translation. CoRR Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2017	A*	`conf`	Sequence Prediction with Unlabeled Data by Reward Function Learning. IJCAI Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2016	A*	`conf`	Attention-based LSTM for Aspect-level Sentiment Classification. EMNLP Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao
2016	A*	`conf`	Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint. AAAI Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu
2015	A	`conf`	Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. CIKM Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu
2014	A*	`conf`	Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency. EMNLP Li Zhao, Minlie Huang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu