Publications

^* equal contribution  ·  ^† corresponding author. A complete and continuously updated record is available on Google Scholar.

• Preprints
• 2026
• 2025
• 2024
• 2023
• 2022
• 2021
• 2020
• 2019
• 2018
• 2017

Preprints & Workshop Papers

• Agent Cybernetics arXiv preprint, 2026
• AutoDFT: A Closed-Loop Multi-Agent Framework for Autonomous DFT Calculations arXiv preprint, 2026
• MatSeek: An Automated Knowledge-Driven Framework for Materials Research AI4Mat Workshop at the International Conference on Learning Representations (ICLR), 2026
• MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys arXiv preprint, 2025
• AutoMAT: A Hierarchical Framework for Autonomous Alloy Discovery arXiv preprint, 2025

2026

• 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 The 19th European Conference on Computer Vision (ECCV), 2026
• FinMaster: A Holistic Benchmark for Full-Pipeline Financial Management with Large Language Models Junzhe Jiang, Chang Yang, Aixin Cui, Sihan Jin, Yujing Zhang, Yilin Xiao, Ruiyu Wang, Bo Li, Xiao Huang, Danny Dongning Sun, Xinrun Wang^† The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Findings, 2026
• LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations Are Needed Chang Yang, Xinrun Wang^†, Junzhe Jiang, Qinggang Zhang, Xiao Huang Transactions on Machine Learning Research (TMLR), 2026
• Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang^† Transactions on Machine Learning Research (TMLR), 2026
• FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading Molei Qin, Xinyu Cai, Yewen Li, Haochong Xia, Chuqiao Zong, Shuo Sun, Xinrun Wang^†, Bo An Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
• FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment Wentao Zhang, Yilei Zhao, Chuqiao Zong, Xinrun Wang^†, Bo An Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
• The Avengers: A Routing Recipe for Collective Intelligence in Language Models Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Xinrun Wang, Jia Xu, Lei Bai, Shuyue Hu Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI), 2026
• GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization Yanchen Deng, Xinrun Wang^†, Bo An Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI), 2026

2025

• Efficient Integration of External Knowledge to LLM-Based World Models via Retrieval-Augmented Generation and Reinforcement Learning Chang Yang, Xinrun Wang^†, Qinggang Zhang, Qi Jiang, Xiao Huang The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings, 2025
• 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 The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025 SAC Highlights Award
• Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models Aye Phyu Phyu Aung, Xinrun Wang^†, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath IEEE Transactions on Image Processing (TIP), 2025
• Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, YuJie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025
• AgentStudio: A Toolkit for Building General Virtual Agents Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan Proceedings of the 2025 International Conference on Learning Representations (ICLR), 2025

2024

• A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang^†, Bo An^† Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
• Configurable Mirror Descent: Towards a Unification of Decision Making Pengdeng Li, Shuxin Li^*, Chang Yang^*, Xinrun Wang^†, Shuyue Hu, Xiao Huang, Hau Chan, Bo An Proceedings of the 41st International Conference on Machine Learning (ICML), 2024
• Reinforcement Nash Equilibrium Solver Xinrun Wang^*, Chang Yang^*, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024 A previous version appeared at the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Extended Abstract, 2024 Note: an extended abstract is a bad option — remember to opt out when submitting to AAMAS.
• Self-Adaptive PSRO: Towards an Automatic Population-Based Game Solver Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang^†, Xiao Huang, Hau Chan, Bo An Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
• Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control Longtao Zheng, Rundong Wang, Xinrun Wang^†, Bo An^† Proceedings of the 2024 International Conference on Learning Representations (ICLR), 2024
• True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang^†, Bo An^† Proceedings of the 2024 International Conference on Learning Representations (ICLR), 2024
• Greedy Sequential Execution: Solving Homogeneous and Heterogeneous Cooperative Tasks with a Unified Framework Shanqi Liu, Dong Xing, Pengjie Gu, Bo An, Yong Liu^†, Xinrun Wang^† Proceedings of the 2024 International Conference on Learning Representations (ICLR), 2024
• Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li^*, Shuxin Li^*, Xinrun Wang^†, Jakub Cerny, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2024
• Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games Pengdeng Li, Runsheng Yu, Xinrun Wang^†, Bo An Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024
• EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang^†, Bo An^† Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024
• Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context Haochong Xia, Shuo Sun, Xinrun Wang^†, Bo An^† Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024

2023

• Offline RL with Discrete Proxy Representations for Generalizability in POMDPs Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang^†, Mengchen Zhao^†, Bo An Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023
• TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang^†, Bo An^† Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023
• Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts Shuo Sun, Xinrun Wang^†, Wanqi Xue, Xiaoxuan Lou, Bo An^† Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 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, Gang Pan Proceedings of the 40th International Conference on Machine Learning (ICML), 2023
• PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets Shuo Sun, Molei Qin, Xinrun Wang^†, Bo An^† Transactions on Machine Learning Research (TMLR), 2023
• Enhancing Meta Learning via Multi-Objective Soft Improvement Functions Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok The 11th International Conference on Learning Representations (ICLR), 2023
• Population-Size-Aware Policy Optimization for Mean-Field Games Pengdeng Li, Xinrun Wang^†, Shuxin Li, Hau Chan, Bo An The 11th International Conference on Learning Representations (ICLR), 2023
• Solving Large-Scale Pursuit-Evasion Games Using Pre-Trained Strategies Shuxin Li, Xinrun Wang^†, Youzhi Zhang^†, Wanqi Xue, Jakub Cerny, Bo An Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023

2022

• DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung^*, Xinrun Wang^*†, Runsheng Yu^*, Bo An^†, Senthilnath Jayavelu, Xiaoli Li^† Proceedings of the 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

2021

• RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS), 2021
• Neural Regret Matching for Distributed Constraint Optimization Problems Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021
• CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space Shuxin Li, Youzhi Zhang^*, Xinrun Wang^*, Wanqi Xue, Bo An Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021

2020

• We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li Proceedings of the 30th International Conference on Automated Planning and Scheduling (ICAPS), 2020
• Learning Expensive Coordination: An Event-Based Deep RL Approach Zhenyu Shi^*, Runsheng Yu^*, Xinrun Wang^*, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An Proceedings of the 2020 International Conference on Learning Representations (ICLR), 2020

2019

• When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games Xinrun Wang, Milind Tambe, Branislav Bosansky, Bo An Proceedings of the 10th Conference on Decision and Game Theory for Security (GameSec), 2019 Outstanding Student Paper Award
• Who Should Pay the Cost: A Game-Theoretic Model for Government Subsidized Investments to Improve National Cybersecurity Xinrun Wang, Bo An, Hau Chan Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019

2018

• Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018

2017

• Stop Nuclear Smuggling Through Efficient Container Inspection Xinrun Wang, Qingyu Guo, Bo An Proceedings of the 16th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2017