Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency. - Li Zhao 007; Minlie Huang; Haiqiang Chen; Junjun Cheng; Xiaoyan Zhu 001 (EMNLP, 2014)

Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. - Li Zhao 007; Minlie Huang; Jiashen Sun; Hengliang Luo; Xiankai Yang; Xiaoyan Zhu 001 (CIKM, 2015)

Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint. - Li Zhao 007; Minlie Huang; Ziyu Yao 002; Rongwei Su; Yingying Jiang 001; Xiaoyan Zhu 001 (AAAI, 2016)

Attention-based LSTM for Aspect-level Sentiment Classification. - Yequan Wang; Minlie Huang; Xiaoyan Zhu 001; Li Zhao 007 (EMNLP, 2016)

Sequence Prediction with Unlabeled Data by Reward Function Learning. - Lijun Wu 003; Li Zhao 007; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (IJCAI, 2017)

Reinforcement Learning for Relation Classification From Noisy Data. - Jun Feng; Minlie Huang; Li Zhao 007; Yang Yang; Xiaoyan Zhu 001 (AAAI, 2018)

Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. - Yijun Wang 002; Yingce Xia; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Guiquan Liu; Tie-Yan Liu (AAAI, 2018)

Word Attention for Sequence to Sequence Text Understanding. - Lijun Wu 003; Fei Tian; Li Zhao 007; Jianhuang Lai; Tie-Yan Liu (AAAI, 2018)

Learning Structured Representation for Text Classification via Reinforcement Learning. - Tianyang Zhang; Minlie Huang; Li Zhao 007 (AAAI, 2018)

Adversarial Neural Machine Translation. - Lijun Wu 003; Yingce Xia; Fei Tian; Li Zhao 007; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (ACML, 2018)

Efficient Sequence Learning with Group Recurrent Networks. - Fei Gao 018; Lijun Wu 003; Li Zhao 007; Tao Qin 001; Xueqi Cheng; Tie-Yan Liu (NAACL-HLT, 2018)

Trust Region Evolution Strategies. - Guoqing Liu; Li Zhao 007; Feidiao Yang; Jiang Bian 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (AAAI, 2019)

Unified Policy Optimization for Robust Reinforcement Learning. - Zichuan Lin; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Guangwen Yang (ACML, 2019)

Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction. - Chi Chen; Li Zhao 007; Jiang Bian 002; Chunxiao Xing; Tie-Yan Liu (KDD, 2019)

Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. - Zhige Li; Derek Yang; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Tie-Yan Liu (KDD, 2019)

Distributional Reward Decomposition for Reinforcement Learning. - Zichuan Lin; Li Zhao 007; Derek Yang; Tao Qin 001; Tie-Yan Liu; Guangwen Yang (NeurIPS, 2019)

Fully Parameterized Quantile Function for Distributional Reinforcement Learning. - Derek Yang; Li Zhao 007; Zichuan Lin; Tao Qin 001; Jiang Bian 002; Tie-Yan Liu (NeurIPS, 2019)

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. - Yijun Wang 002; Yingce Xia; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Enhong Chen; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

RD$^2$: Reward Decomposition with Representation Decomposition. - Zichuan Lin; Derek Yang; Li Zhao 007; Tao Qin 001; Guangwen Yang; Tie-Yan Liu (NeurIPS, 2020)

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin; Grace Hui Yang; Alex Beutel (SIGIR, 2020)

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. - Kangzhi Zhao; Xiting Wang; Yuren Zhang; Li Zhao 007; Zheng Liu 011; Chunxiao Xing; Xing Xie 001 (SIGIR, 2020)

Suphx: Mastering Mahjong with Deep Reinforcement Learning. - Junjie Li; Sotetsu Koyamada; Qiwei Ye; Guoqing Liu; Chao Wang; Ruihan Yang; Li Zhao 007; Tao Qin 001; Tie-Yan Liu; Hsiao-Wuen Hon (CoRR, 2020)

Return-Based Contrastive Representation Learning for Reinforcement Learning. - Guoqing Liu; Chuheng Zhang; Li Zhao 007; Tao Qin 001; Jinhua Zhu 001; Jian Li 015; Nenghai Yu; Tie-Yan Liu (ICLR, 2021)

Independence-aware Advantage Estimation. - Pushi Zhang; Li Zhao 007; Guoqing Liu; Jiang Bian 002; Minlie Huang; Tao Qin 001; Tie-Yan Liu (IJCAI, 2021)

Curriculum Offline Imitating Learning. - Minghuan Liu; Hanye Zhao; Zhengyu Yang 002; Jian Shen 003; Weinan Zhang 001; Li Zhao 007; Tie-Yan Liu (NeurIPS, 2021)

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. - Jongjin Park; Younggyo Seo; Chang Liu 030; Li Zhao 007; Tao Qin 001; Jinwoo Shin; Tie-Yan Liu (NeurIPS, 2021)

Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. - Pushi Zhang; Xiaoyu Chen; Li Zhao 007; Wei Xiong 015; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2021)

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2021)

Curriculum Offline Imitation Learning. - Minghuan Liu; Hanye Zhao; Zhengyu Yang 002; Jian Shen 003; Weinan Zhang 001; Li Zhao 007; Tie-Yan Liu (CoRR, 2021)

Demonstration actor critic. - Guoqing Liu; Li Zhao 007; Pushi Zhang; Jiang Bian 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (Neurocomputing, 2021)

Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. - Guoqing Liu; Mengzhang Cai; Li Zhao 007; Tao Qin 001; Adrian Brown; Jimmy Bischoff; Tie-Yan Liu (CoG, 2022)

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. - Yuanying Cai; Chuheng Zhang; Li Zhao 007; Wei Shen 005; Xuyun Zhang; Lei Song 001; Jiang Bian 002; Tao Qin 001; Tieyan Liu (ICDM, 2022)

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. - Jiawei Huang; Jinglin Chen; Li Zhao 007; Tao Qin 001; Nan Jiang 008; Tie-Yan Liu (ICLR, 2022)

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. - Xiaoyu Chen; Xiangming Zhu 002; Yufeng Zheng; Pushi Zhang; Li Zhao 007; Wenxue Cheng; Peng Cheng 005; Yongqiang Xiong; Tao Qin 001; Jianyu Chen; Tie-Yan Liu (NeurIPS, 2022)

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. - Jiawei Huang; Li Zhao 007; Tao Qin 001; Wei Chen 034; Nan Jiang 008; Tie-Yan Liu (NeurIPS, 2022)

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. - Xiangyu Zhao 001; Xin Xin 003; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2022)

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management. - Yuandong Ding; Mingxiao Feng; Guozi Liu; Wei Jiang 024; Chuheng Zhang; Li Zhao 007; Lei Song 001; Houqiang Li; Yan Jin 005; Jiang Bian 002 (CoRR, 2022)

Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. - Yan Jin 005; Yuandong Ding; Xuanhao Pan; Kun He 001; Li Zhao 007; Tao Qin 001; Lei Song 001; Jiang Bian 002 (AAAI, 2023)

H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. - Xuanhao Pan; Yan Jin 005; Yuandong Ding; Mingxiao Feng; Li Zhao 007; Lei Song 001; Jiang Bian 002 (AAAI, 2023)

Curriculum Offline Reinforcement Learning. - Yuanying Cai; Chuheng Zhang; Hanye Zhao; Li Zhao 007; Jiang Bian 002 (AAMAS, 2023)

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. - Xin Xin 003; Xiangyu Zhao 001; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (CIKM, 2023)

Robust Situational Reinforcement Learning in Face of Context Disturbances. - Jinpeng Zhang; Yufeng Zheng; Chuheng Zhang; Li Zhao 007; Lei Song 001; Yuan Zhou 007; Jiang Bian 002 (ICML, 2023)

Towards Generalizable Reinforcement Learning for Trade Execution. - Chuheng Zhang; Yitong Duan; Xiaoyu Chen; Jianyu Chen; Jian Li 015; Li Zhao 007 (IJCAI, 2023)

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. - Yuchen Fang; Zhenggang Tang; Kan Ren; Weiqing Liu; Li Zhao 007; Jiang Bian 002; Dongsheng Li 002; Weinan Zhang 001; Yong Yu 001; Tie-Yan Liu (KDD, 2023)

Distributional Pareto-Optimal Multi-Objective Reinforcement Learning. - Xin-Qiang Cai; Pushi Zhang; Li Zhao 007; Jiang Bian 002; Masashi Sugiyama; Ashley Llorens (NeurIPS, 2023)

H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem. - Xuanhao Pan; Yan Jin 005; Yuandong Ding; Mingxiao Feng; Li Zhao 007; Lei Song 001; Jiang Bian 002 (CoRR, 2023)

Asking Before Action: Gather Information in Embodied Decision Making with Language Models. - Xiaoyu Chen; Shenao Zhang; Pushi Zhang; Li Zhao 007; Jianyu Chen (CoRR, 2023)

A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management. - Xianliang Yang; Zhihao Liu; Wei Jiang 024; Chuheng Zhang; Li Zhao 007; Lei Song 001; Jiang Bian 002 (CoRR, 2023)

Pre-Trained Large Language Models for Industrial Control. - Lei Song 001; Chuheng Zhang; Li Zhao 007; Jiang Bian 002 (CoRR, 2023)

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. - Yunseon Choi; Sangmin Bae; Seonghyun Ban; Minchan Jeong; Chuheng Zhang; Lei Song 001; Li Zhao 007; Jiang Bian 002; Kee-Eung Kim (ACL (1), 2024)

Diversification of Adaptive Policy for Effective Offline Reinforcement Learning. - Yunseon Choi; Li Zhao 007; Chuheng Zhang; Lei Song 001; Jiang Bian 002; Kee-Eung Kim (IJCAI, 2024)

AgentIR: 1st Workshop on Agent-based Information Retrieval. - Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2024)

Empowering Large Language Models on Robotic Manipulation with Affordance Prompting. - Guangran Cheng; Chuheng Zhang; Wenzhe Cai; Li Zhao 007; Changyin Sun 001; Jiang Bian 002 (CoRR, 2024)

DPO Meets PPO: Reinforced Token Optimization for RLHF. - Han Zhong 001; Guhao Feng; Wei Xiong 015; Li Zhao 007; Di He 001; Jiang Bian 002; Liwei Wang 001 (CoRR, 2024)

Video In-context Learning. - Wentao Zhang; Junliang Guo; Tianyu He; Li Zhao 007; Linli Xu; Jiang Bian 002 (CoRR, 2024)

IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI. - Xiaoyu Chen; Junliang Guo; Tianyu He; Chuheng Zhang; Pushi Zhang; Derek Yang; Li Zhao 007; Jiang Bian 002 (CoRR, 2024)

Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. - Wentao Zhang; Junliang Guo; Tianyu He; Li Zhao 007; Linli Xu; Jiang Bian 002 (ICLR, 2025)

AgentIR: 2nd Workshop on Agent-based Information Retrieval. - Pengyue Jia; Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2025)

What Do Latent Action Models Actually Learn? - Chuheng Zhang; Tim Pearce; Pushi Zhang; Kaixin Wang; Xiaoyu Chen; Wei Shen 005; Li Zhao 007; Jiang Bian 002 (CoRR, 2025)

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models. - 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; et al. (CoRR, 2025)

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models. - Xiaoyu Chen; Hangxing Wei; Pushi Zhang; Chuheng Zhang; Kaixin Wang; Yanjiang Guo; Rushuai Yang; Yucen Wang; Xinquan Xiao; Li Zhao 007; Jianyu Chen; Jiang Bian 002 (CoRR, 2025)