Stop Nuclear Smuggling Through Efficient Container Inspection. - Xinrun Wang; Qingyu Guo; Bo An 001 (AAMAS, 2017)

Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. - Xinrun Wang; Bo An 001; Martin Strobel 001; Fookwai Kong (AAAI, 2018)

When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. - Xinrun Wang; Milind Tambe; Branislav Bosanský; Bo An 001 (GameSec, 2019)

Choosing Protection: User Investments in Security Measures for Cyber Risk Management. - Yoav Ben Yaakov; Xinrun Wang; Joachim Meyer 002; Bo An 001 (GameSec, 2019)

Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. - Xinrun Wang; Bo An 001; Hau Chan (IJCAI, 2019)

Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. - Runsheng Yu; Zhenyu Shi; Xinrun Wang; Rundong Wang; Buhong Liu; Xinwen Hou; Hanjiang Lai; Bo An 001 (CoRR, 2019)

Defending on networks: applying game theory to prevent illegal activities in structured security domains - Xinrun Wang (2019)

We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. - Aye Phyu Phyu Aung; Xinrun Wang; Bo An 001; Xiaoli Li 001 (ICAPS, 2020)

User detection of threats with different security measures. - Yoav Ben Yaakov; Joachim Meyer 002; Xinrun Wang; Bo An 001 (ICHMS, 2020)

Learning Expensive Coordination: An Event-Based Deep RL Approach. - Zhenyu Shi; Runsheng Yu; Xinrun Wang; Rundong Wang; Youzhi Zhang 001; Hanjiang Lai; Bo An 001 (ICLR, 2020)

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. - Xu He; Bo An 001; Yanghua Li; Haikai Chen; Rundong Wang; Xinrun Wang; Runsheng Yu; Xin Li; Zhirong Wang (RecSys, 2020)

Efficient Reservoir Management through Deep Reinforcement Learning. - Xinrun Wang; Tarun Nair; Haoyang Li; Yuh Sheng Reuben Wong; Nachiket Kelkar; Srinivas Vaidyanathan; Rajat Nayak; Bo An 001; Jagdish Krishnaswamy; Milind Tambe (CoRR, 2020)

Neural Regret-Matching for Distributed Constraint Optimization Problems. - Yanchen Deng; Runsheng Yu; Xinrun Wang; Bo An 001 (IJCAI, 2021)

CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. - Shuxin Li 001; Youzhi Zhang 001; Xinrun Wang; Wanqi Xue; Bo An 001 (IJCAI, 2021)

Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. - Wanqi Xue; Youzhi Zhang 001; Shuxin Li 001; Xinrun Wang; Bo An 001; Chai Kiat Yeo (IJCAI, 2021)

RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. - Wei Qiu 001; Xinrun Wang; Runsheng Yu; Rundong Wang; Xu He; Bo An 001; Svetlana Obraztsova; Zinovi Rabinovich (NeurIPS, 2021)

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. - Aye Phyu Phyu Aung; Xinrun Wang; Runsheng Yu; Bo An 001; Senthilnath Jayavelu; Xiaoli Li 001 (CVPR, 2022)

A Unified Perspective on Deep Equilibrium Finding. - Xinrun Wang; Jakub Cerný; Shuxin Li 001; Chang Yang; Zhuyun Yin; Hau Chan; Bo An 001 (CoRR, 2022)

Offline Equilibrium Finding. - Shuxin Li 001; Xinrun Wang; Jakub Cerný; Youzhi Zhang 001; Hau Chan; Bo An 001 (CoRR, 2022)

A Game-Theoretic Perspective of Generalization in Reinforcement Learning. - Chang Yang; Ruiyu Wang; Xinrun Wang; Zhen Wang (CoRR, 2022)

Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. - Shuxin Li 001; Xinrun Wang; Youzhi Zhang 001; Wanqi Xue; Jakub Cerný; Bo An 001 (AAAI, 2023)

Population-size-Aware Policy Optimization for Mean-Field Games. - Pengdeng Li; Xinrun Wang; Shuxin Li 001; Hau Chan; Bo An 001 (ICLR, 2023)

Enhancing Meta Learning via Multi-Objective Soft Improvement Functions. - Runsheng Yu; Weiyu Chen; Xinrun Wang; James T. Kwok (ICLR, 2023)

Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. - Dong Xing; Pengjie Gu; Qian Zheng; Xinrun Wang; Shanqi Liu; Longtao Zheng; Bo An 001; Gang Pan 001 (ICML, 2023)

Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. - Shuo Sun; Xinrun Wang; Wanqi Xue; Xiaoxuan Lou; Bo An 001 (KDD, 2023)

Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. - Pengjie Gu; Xinyu Cai; Dong Xing; Xinrun Wang; Mengchen Zhao; Bo An 001 (NeurIPS, 2023)

TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning. - Shuo Sun; Molei Qin; Wentao Zhang 007; Haochong Xia; Chuqiao Zong; Jie Ying; Yonggang Xie; Lingxuan Zhao; Xinrun Wang; Bo An 001 (NeurIPS, 2023)

PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. - Shuo Sun; Molei Qin; Xinrun Wang; Bo An 001 (Trans. Mach. Learn. Res., 2023)

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. - Pengdeng Li; Runsheng Yu; Xinrun Wang; Bo An 001 (AAAI, 2024)

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. - Molei Qin; Shuo Sun; Wentao Zhang 007; Haochong Xia; Xinrun Wang; Bo An 001 (AAAI, 2024)

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. - Haochong Xia; Shuo Sun; Xinrun Wang; Bo An 001 (AAAI, 2024)

Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. - Pengdeng Li; Shuxin Li 001; Xinrun Wang; Jakub Cerný; Youzhi Zhang 001; Stephen McAleer; Hau Chan; Bo An 001 (AAMAS, 2024)

Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. - Shanqi Liu; Dong Xing; Pengjie Gu; Xinrun Wang; Bo An 001; Yong Liu (ICLR, 2024)

True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. - Weihao Tan; Wentao Zhang 007; Shanqi Liu; Longtao Zheng; Xinrun Wang; Bo An 001 (ICLR, 2024)

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. - Longtao Zheng; Rundong Wang; Xinrun Wang; Bo An 001 (ICLR, 2024)

Configurable Mirror Descent: Towards a Unification of Decision Making. - Pengdeng Li; Shuxin Li 001; Chang Yang; Xinrun Wang; Shuyue Hu; Xiao Huang 001; Hau Chan; Bo An 001 (ICML, 2024)

Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. - Pengdeng Li; Shuxin Li 001; Chang Yang; Xinrun Wang; Xiao Huang 001; Hau Chan; Bo An 001 (IJCAI, 2024)

Reinforcement Nash Equilibrium Solver. - Xinrun Wang; Chang Yang; Shuxin Li 001; Pengdeng Li; Xiao Huang 001; Hau Chan; Bo An 001 (IJCAI, 2024)

A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. - Wentao Zhang 007; Lingxuan Zhao; Haochong Xia; Shuo Sun; Jiaze Sun; Molei Qin; Xinyi Li; Yuqing Zhao; Yilei Zhao 001; Xinyu Cai; Longtao Zheng; Xinrun Wang; et al. (KDD, 2024)

MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. - Chuqiao Zong; Chaojie Wang 001; Molei Qin; Lei Feng 006; Xinrun Wang; Bo An 001 (KDD, 2024)

Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. - Wentao Zhang 007; Yilei Zhao 001; Shuo Sun; Jie Ying; Yonggang Xie; Zitao Song; Xinrun Wang; Bo An 001 (WWW, 2024)

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. - Chaojie Wang 001; Yishi Xu; Zhong Peng; Chenxi Zhang; Bo Chen 001; Xinrun Wang; Lei Feng 006; Bo An 001 (CoRR, 2024)

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. - Weihao Tan; Wentao Zhang 007; Shanqi Liu; Longtao Zheng; Xinrun Wang; Bo An 001 (CoRR, 2024)

Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. - Weihao Tan; Ziluo Ding; Wentao Zhang 007; Boyu Li 003; Bohan Zhou; Junpeng Yue; Haochong Xia; Jiechuan Jiang; Longtao Zheng; Xinrun Xu; Yifei Bi; Pengjie Gu; et al. (CoRR, 2024)

In-Context Exploiter for Extensive-Form Games. - Shuxin Li 001; Chang Yang; Youzhi Zhang 001; Pengdeng Li; Xinrun Wang; Xiao Huang 001; Hau Chan; Bo An 001 (CoRR, 2024)

Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. - Yewen Li; Chaojie Wang 001; Xiaobo Xia; Xu He; Ruyi An; Dong Li 016; Tongliang Liu; Bo An 001; Xinrun Wang (CoRR, 2024)

CLR-Bench: Evaluating Large Language Models in College-level Reasoning. - Junnan Dong; Zijin Hong; Yuanchen Bei; Feiran Huang; Xinrun Wang; Xiao Huang 001 (CoRR, 2024)

Evaluating World Models with LLM for Decision Making. - Chang Yang; Xinrun Wang; Junzhe Jiang 002; Qinggang Zhang; Xiao Huang 001 (CoRR, 2024)

TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. - Weihao Tan; Wentao Zhang 007; Shanqi Liu; Longtao Zheng; Xinrun Wang; Bo An 001 (Int. J. Artif. Intell. Robotics Res., 2024)

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation. - Qinggang Zhang; Zhishang Xiang; Yilin Xiao; Le Wang; Junhui Li; Xinrun Wang; Jinsong Su (ACL (1), 2025)

AgentStudio: A Toolkit for Building General Virtual Agents. - Longtao Zheng; Zhiyuan Huang; Zhenghai Xue; Xinrun Wang; Bo An 001; Shuicheng Yan (ICLR, 2025)

Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. - Aye Phyu Phyu Aung; Xinrun Wang; Ruiyu Wang; Hau Chan; Bo An 001; Xiaoli Li 001; J. Senthilnath 001 (IEEE Trans. Image Process., 2025)

If Multi-Agent Debate is the Answer, What is the Question? - Hangfan Zhang; Zhiyao Cui; Xinrun Wang; Qiaosheng Zhang; Zhen Wang; Dinghao Wu; Shuyue Hu (CoRR, 2025)

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs. - Chang Yang; Ruiyu Wang; Junzhe Jiang 002; Qi Jiang; Qinggang Zhang; Yanchen Deng; Shuxin Li 001; Shuyue Hu; Bo Li 037; Florian T. Pokorny; Xiao Huang 001; Xinrun Wang (CoRR, 2025)

Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning. - Junzhe Jiang 002; Chang Yang; Xinrun Wang; Zhiming Li; Xiao Huang 001; Bo Li 037 (CoRR, 2025)

FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs. - Junzhe Jiang 002; Chang Yang; Aixin Cui; Sihan Jin; Ruiyu Wang; Bo Li 037; Xiao Huang 001; Dongning Sun; Xinrun Wang (CoRR, 2025)

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants. - Yiqun Zhang; Hao Li; Chenxu Wang; Linyao Chen; Qiaosheng Zhang; Peng Ye 006; Shi Feng 001; Daling Wang; Zhen Wang; Xinrun Wang; Jia Xu; Lei Bai 001; et al. (CoRR, 2025)

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction. - Junzhe Jiang 002; Chang Yang; Xinrun Wang; Bo Li 037 (CoRR, 2025)

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley. - Weihao Tan; Changjiu Jiang; Yu Duan; Mingcong Lei; Jiageng Li; Yitian Hong; Xinrun Wang; Bo An 001 (CoRR, 2025)

AutoMAT: A Hierarchical Framework for Autonomous Alloy Discovery. - Penghui Yang 001; Chendong Zhao; Bijun Tang; Zhonghan Zhang; Xinrun Wang; Yanchen Deng; Yuhao Lu; Cuntai Guan; Zheng Liu; Bo An 001 (CoRR, 2025)

FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment. - Wentao Zhang 007; Yilei Zhao 001; Chuqiao Zong; Xinrun Wang; Bo An 001 (CoRR, 2025)

GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization. - Yanchen Deng; Xinrun Wang; Bo An 001 (CoRR, 2025)