Xinrun Wang - RankMe

96 papers A* 32A 4Journal 52Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment. KDD (1) Wentao Zhang, Yilei Zhao, Chuqiao Zong, Xinrun Wang, Bo An
2026	—	`conf`	FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading. KDD (1) Molei Qin, Xinyu Cai, Yewen Li, Haochong Xia, Chuqiao Zong, Shuo Sun, Xinrun Wang, Bo An
2026	A*	`conf`	GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization. AAAI Yanchen Deng, Xinrun Wang, Bo An
2026	J	`jnl`	Graph-based Agent Memory: Taxonomy, Techniques, and Applications. CoRR Chang Yang, Chuang Zhou, Yilin Xiao, Su Dong, Luyao Zhuang, Yujing Zhang, Zhu Wang, Zijin Hong, Zheng Yuan, Zhishang Xiang, Shengyuan Chen, Huachi Zhou, Qinggang Zhang, Ninghao Liu, Jinsong Su, Xinrun Wang, Yi Chang, Xiao Huang
2026	J	`jnl`	History Is Not Enough: An Adaptive Dataflow System for Financial Time-Series Synthesis. CoRR Haochong Xia, Teng Yao Long, Regan Tan, Molei Qin, Xinrun Wang, Bo An
2026	J	`jnl`	LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are Needed. Trans. Mach. Learn. Res. Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang
2026	J	`jnl`	Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs. Trans. Mach. Learn. Res. 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
2026	J	`jnl`	SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning. CoRR Caijun Xu, Changyi Xiao, Zhongyuan Peng, Xinrun Wang, Yixin Cao
2026	A*	`conf`	The Avengers: A Routing Recipe for Collective Intelligence in Language Models. AAAI Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Xinrun Wang, Xu Jia, Lei Bai, Shuyue Hu
2025	A*	`conf`	AgentStudio: A Toolkit for Building General Virtual Agents. ICLR Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
2025	J	`jnl`	AutoMAT: A Hierarchical Framework for Autonomous Alloy Discovery. CoRR Penghui Yang, Chendong Zhao, Bijun Tang, Zhonghan Zhang, Xinrun Wang, Yanchen Deng, Yuhao Lu, Cuntai Guan, Zheng Liu, Bo An
2025	A*	`conf`	Cradle: Empowering Foundation Agents towards General Computer Control. ICML 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
2025	J	`jnl`	Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. IEEE Trans. Image Process. Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath
2025	—	`conf`	Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning. EMNLP (Findings) Chang Yang, Xinrun Wang, Qinggang Zhang, Qi Jiang, Xiao Huang
2025	—	`conf`	FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation. ACL (1) Qinggang Zhang, Zhishang Xiang, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su
2025	J	`jnl`	FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation. CoRR Qinggang Zhang, Zhishang Xiang, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su
2025	J	`jnl`	FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs. CoRR Junzhe Jiang, Chang Yang, Aixin Cui, Sihan Jin, Ruiyu Wang, Bo Li, Xiao Huang, Dongning Sun, Xinrun Wang
2025	J	`jnl`	FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment. CoRR Wentao Zhang, Yilei Zhao, Chuqiao Zong, Xinrun Wang, Bo An
2025	J	`jnl`	FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading. CoRR Molei Qin, Xinyu Cai, Yewen Li, Haochong Xia, Chuqiao Zong, Shuo Sun, Xinrun Wang, Bo An
2025	J	`jnl`	GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization. CoRR Yanchen Deng, Xinrun Wang, Bo An
2025	J	`jnl`	If Multi-Agent Debate is the Answer, What is the Question? CoRR Hangfan Zhang, Zhiyao Cui, Xinrun Wang, Qiaosheng Zhang, Zhen Wang, Dinghao Wu, Shuyue Hu
2025	J	`jnl`	MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys. CoRR Yanchen Deng, Chendong Zhao, Yixuan Li, Bijun Tang, Xinrun Wang, Zhonghan Zhang, Yuhao Lu, Penghui Yang, Jianguo Huang, Yushan Xiao, Cuntai Guan, Zheng Liu, Bo An
2025	J	`jnl`	Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs. CoRR 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
2025	J	`jnl`	Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning. CoRR Junzhe Jiang, Chang Yang, Xinrun Wang, Zhiming Li, Xiao Huang, Bo Li
2025	J	`jnl`	StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley. CoRR Weihao Tan, Changjiu Jiang, Yu Duan, Mingcong Lei, Jiageng Li, Yitian Hong, Xinrun Wang, Bo An
2025	J	`jnl`	The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants. CoRR Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Daling Wang, Zhen Wang, Xinrun Wang, Xu Jia, Lei Bai, Wanli Ouyang, Shuyue Hu
2025	J	`jnl`	The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback. CoRR Hangfan Zhang, Siyuan Xu, Zhimeng Guo, Huaisheng Zhu, Shicheng Liu, Xinrun Wang, Qiaosheng Zhang, Yang Chen, Peng Ye, Lei Bai, Shuyue Hu
2025	J	`jnl`	Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction. CoRR Junzhe Jiang, Chang Yang, Xinrun Wang, Bo Li
2024	A*	`conf`	A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. KDD 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
2024	J	`jnl`	A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. CoRR 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
2024	J	`jnl`	AgentStudio: A Toolkit for Building General Virtual Agents. CoRR Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
2024	J	`jnl`	CLR-Bench: Evaluating Large Language Models in College-level Reasoning. CoRR Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang
2024	A*	`conf`	Configurable Mirror Descent: Towards a Unification of Decision Making. ICML Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Configurable Mirror Descent: Towards a Unification of Decision Making. CoRR Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. CoRR Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath
2024	A*	`conf`	EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. AAAI Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An
2024	J	`jnl`	Evaluating World Models with LLM for Decision Making. CoRR Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang
2024	A	`conf`	Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. AAMAS Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
2024	J	`jnl`	Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. CoRR Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
2024	J	`jnl`	In-Context Exploiter for Extensive-Form Games. CoRR Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024	A*	`conf`	MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. KDD Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
2024	J	`jnl`	MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. CoRR Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
2024	A*	`conf`	Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. AAAI Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
2024	A*	`conf`	Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. WWW Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An
2024	A	`conf`	Reinforcement Nash Equilibrium Solver. AAMAS Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024	A*	`conf`	Reinforcement Nash Equilibrium Solver. IJCAI Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Reinforcement Nash Equilibrium Solver. CoRR Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. CoRR Yewen Li, Chaojie Wang, Xiaobo Xia, Xu He, Ruyi An, Dong Li, Tongliang Liu, Bo An, Xinrun Wang
2024	A*	`conf`	Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. IJCAI Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. CoRR Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024	A*	`conf`	Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
2024	A*	`conf`	Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
2024	J	`jnl`	TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. Int. J. Artif. Intell. Robotics Res. Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	J	`jnl`	Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu
2024	A*	`conf`	Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An
2024	J	`jnl`	True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. CoRR Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	A*	`conf`	True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. ICLR Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	J	`jnl`	keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. CoRR Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An
2023	A*	`conf`	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. ICML Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
2023	J	`jnl`	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. CoRR Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
2023	A*	`conf`	Enhancing Meta Learning via Multi-Objective Soft Improvement Functions. ICLR Runsheng Yu, Weiyu Chen, Xinrun Wang, James T. Kwok
2023	J	`jnl`	Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. CoRR Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
2023	A*	`conf`	Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. KDD Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An
2023	A*	`conf`	Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. NeurIPS Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An
2023	J	`jnl`	PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. CoRR Shuo Sun, Molei Qin, Xinrun Wang, Bo An
2023	J	`jnl`	PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. Trans. Mach. Learn. Res. Shuo Sun, Molei Qin, Xinrun Wang, Bo An
2023	A*	`conf`	Population-size-Aware Policy Optimization for Mean-Field Games. ICLR Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
2023	J	`jnl`	Population-size-Aware Policy Optimization for Mean-Field Games. CoRR Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
2023	J	`jnl`	Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. CoRR Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An
2023	A*	`conf`	Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. AAAI Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An
2023	A*	`conf`	TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning. NeurIPS Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An
2022	J	`jnl`	A Game-Theoretic Perspective of Generalization in Reinforcement Learning. CoRR Chang Yang, Ruiyu Wang, Xinrun Wang, Zhen Wang
2022	J	`jnl`	A Unified Perspective on Deep Equilibrium Finding. CoRR Xinrun Wang, Jakub Cerný, Shuxin Li, Chang Yang, Zhuyun Yin, Hau Chan, Bo An
2022	A*	`conf`	DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2022	J	`jnl`	Offline Equilibrium Finding. CoRR Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Hau Chan, Bo An
2021	A*	`conf`	CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. IJCAI Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
2021	J	`jnl`	CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. CoRR Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
2021	J	`jnl`	DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2021	A*	`conf`	Neural Regret-Matching for Distributed Constraint Optimization Problems. IJCAI Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An
2021	A*	`conf`	RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. NeurIPS Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
2021	J	`jnl`	RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. CoRR Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
2021	A*	`conf`	Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. IJCAI Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
2021	J	`jnl`	Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. CoRR Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
2020	J	`jnl`	Efficient Reservoir Management through Deep Reinforcement Learning. CoRR Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe
2020	A*	`conf`	Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An
2020	A	`conf`	Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
2020	J	`jnl`	Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. CoRR Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
2020	—	`conf`	User detection of threats with different security measures. ICHMS Yoav Ben Yaakov, Joachim Meyer, Xinrun Wang, Bo An
2020	A*	`conf`	We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. ICAPS Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li
2019	—	`conf`	Choosing Protection: User Investments in Security Measures for Cyber Risk Management. GameSec Yoav Ben Yaakov, Xinrun Wang, Joachim Meyer, Bo An
2019	—	`—`	Defending on networks: applying game theory to prevent illegal activities in structured security domains Xinrun Wang
2019	J	`jnl`	Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An
2019	—	`conf`	When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An
2019	A*	`conf`	Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. IJCAI Xinrun Wang, Bo An, Hau Chan
2018	A*	`conf`	Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. AAAI Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong
2017	A	`conf`	Stop Nuclear Smuggling Through Efficient Container Inspection. AAMAS Xinrun Wang, Qingyu Guo, Bo An