ML Anthology

An, Bo

159 publications

ICML 2025 A Closer Look at Backdoor Attacks on CLIP Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng
ICLR 2025 AgentStudio: A Toolkit for Building General Virtual Agents Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
ICML 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
NeurIPS 2025 Deciphering the Extremes: A Novel Approach for Pathological Long-Tailed Recognition in Scientific Discovery Zhe Zhao, HaiBin Wen, Xianfu Liu, Rui Mao, Pengkun Wang, Liheng Yu, Linjiang Chen, Bo An, Qingfu Zhang, Yang Wang
NeurIPS 2025 EconGym: A Scalable AI Testbed with Diverse Economic Tasks Qirui Mi, Qipeng Yang, Zijun Fan, Wentian Fan, Heyang Ma, Chengdong Ma, Siyu Xia, Bo An, Jun Wang, Haifeng Zhang
NeurIPS 2025 Efficient Last-Iterate Convergence in Solving Extensive-Form Games Linjian Meng, Tianpei Yang, Youzhi Zhang, Zhenxing Ge, Shangdong Yang, Tianyu Ding, Wenbin Li, Bo An, Yang Gao
NeurIPS 2025 Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang Bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
NeurIPS 2025 Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses Yuzhou Cao, Han Bao, Lei Feng, Bo An
NeurIPS 2025 Group-in-Group Policy Optimization for LLM Agent Training Lang Feng, Zhenghai Xue, Tingcong Liu, Bo An
NeurIPS 2025 Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning Yiwen Zhu, Jinyi Liu, Pengjie Gu, Yifu Yuan, Zhenxing Ge, Wenya Wei, Zhou Fang, Yujing Hu, Bo An
NeurIPS 2025 Incentivizing LLMs to Self-Verify Their Answers Fuxiang Zhang, Jiacheng Xu, Chaojie Wang, Ce Cui, Yang Liu, Bo An
AAAI 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An
NeurIPS 2025 Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Zhiyi Lyu, Jianguo Huang, Yanchen Deng, Steven Hoi, Bo An
TMLR 2025 Leveraging Gradients for Unsupervised Accuracy Estimation Under Distribution Shift Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
NeurIPS 2025 MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang
NeurIPS 2025 OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning Zeting Chen, Xinyu Cai, Molei Qin, Bo An
CVPR 2025 OpticalNet: An Optical Imaging Dataset and Benchmark Beyond the Diffraction Limit Benquan Wang, Ruyi An, Jin-Kyu So, Sergei Kurdiumov, Eng Aik Chan, Giorgio Adamo, Yuhan Peng, Yewen Li, Bo An
ICLR 2025 Policy Optimization Under Imperfect Human Interactions with Agent-Gated Shared Autonomy Zhenghai Xue, Bo An, Shuicheng Yan
ICML 2025 Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan
ICLR 2025 Q-Adapter: Customizing Pre-Trained LLMs to New Preferences with Forgetting Mitigation Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An
ICML 2025 Representation Surgery in Model Merging with Probabilistic Modeling Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An
ICML 2025 Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An
NeurIPSW 2024 AgentStudio: A Toolkit for Building General Virtual Agents Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
ICML 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
AISTATS 2024 Consistent Hierarchical Classification with a Generalized Metric Yuzhou Cao, Lei Feng, Bo An
ICLR 2024 Consistent Multi-Class Classification from Multiple Unlabeled Datasets Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
NeurIPSW 2024 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Gang 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
ICML 2024 DAG-Based Column Generation for Adversarial Team Games Youzhi Zhang, Bo An, Daniel Dajun Zeng
AAAI 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An
IJCAI 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo
CVPR 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou
ICML 2024 Latent Logic Tree Extraction for Event Sequence Explanation from LLMs Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li
NeurIPS 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
AAAI 2024 Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
AISTATS 2024 Mitigating Underfitting in Learning to Defer with Consistent Losses Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
ICLR 2024 On the Vulnerability of Adversarially Trained Models Against Two-Faced Attacks Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
MLJ 2024 Online Binary Classification from Similar and Dissimilar Data Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
NeurIPSW 2024 Optimizing Reward Models with Proximal Policy Exploration in Preference-Based Reinforcement Learning Yiwen Zhu, Jinyi Liu, Yifu Yuan, Wenya Wei, Zhenxing Ge, Qianyi Fu, Zhou Fang, Yujing Hu, Bo An
IJCAI 2024 PoRank: A Practical Framework for Learning to Rank Policies Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An
IJCAI 2024 Reinforcement Learning from Diverse Human Preferences Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
IJCAI 2024 Reinforcement Nash Equilibrium Solver Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
ICML 2024 Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree Lang Feng, Pengjie Gu, Bo An, Gang Pan
ICLR 2024 S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
ICML 2024 Safe and Robust Subgame Exploitation in Imperfect Information Games Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao
IJCAI 2024 Self-Adaptive PSRO: Towards an Automatic Population-Based Game Solver Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
ICLR 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
ICLR 2024 Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
ICLRW 2024 Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study 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
AAAI 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An
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
IJCAI 2024 vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
NeurIPSW 2023 $S^2Ac$: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
AAAI 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao
IJCAI 2023 Complex Contagion Influence Maximization: A Reinforcement Learning Approach Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
NeurIPS 2023 Computing Optimal Nash Equilibria in Multiplayer Games Youzhi Zhang, Bo An, Venkatramanan Subrahmanian
AISTATS 2023 Consistent Complementary-Label Learning via Order-Preserving Losses Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
ICML 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
IJCAI 2023 Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
NeurIPS 2023 Few-Shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou
NeurIPS 2023 In Defense of SoftMax Parametrization for Calibrated and Consistent Learning to Defer Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
ICML 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
NeurIPS 2023 Offline RL with Discrete Proxy Representations for Generalizability in POMDPs Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An
NeurIPS 2023 On the Importance of Feature Separability in Predicting Out-of-Distribution Error Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
TMLR 2023 PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets Shuo Sun, Molei Qin, Xinrun Wang, Bo An
AAAI 2023 Partial-Label Regression Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
ICLR 2023 Population-Size-Aware Policy Optimization for Mean-Field Games Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
ICLR 2023 RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
NeurIPS 2023 Regression with Cost-Based Rejection Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
ICLR 2023 ResAct: Reinforcing Long-Term Engagement in Sequential Recommendation with Residual Actor Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
AAAI 2023 Solving Large-Scale Pursuit-Evasion Games Using Pre-Trained Strategies Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An
NeurIPS 2023 State Regularized Policy Optimization on Data with Dynamics Shift Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
NeurIPSW 2023 Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
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
ICML 2023 Weakly Supervised Regression with Interval Targets Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
NeurIPS 2022 Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou
IJCAI 2022 Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games Youzhi Zhang, Bo An, V. S. Subrahmanian
CVPR 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
NeurIPS 2022 Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
AAAI 2022 GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
NeurIPS 2022 Generalizing Consistent Multi-Class Classification with Rejection to Be Compatible with Arbitrary Losses Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
ICML 2022 Learning Pseudometric-Based Action Representations for Offline Reinforcement Learning Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An
ICML 2022 Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
AAAI 2022 NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search Wanqi Xue, Bo An, Chai Kiat Yeo
ICLR 2022 Online Ad Hoc Teamwork Under Partial Observability Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An
ICML 2022 Open-Sampling: Exploring Out-of-Distribution Data for Re-Balancing Long-Tailed Datasets Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
NeurIPS 2022 Out-of-Distribution Detection with an Adaptive Likelihood Ratio on Informative Hierarchical VAE Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, Xin Miao, Bo An
AAAI 2022 Pretrained Cost Model for Distributed Constraint Optimization Problems Yanchen Deng, Shufeng Kong, Bo An
TMLR 2022 SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
IJCAI 2021 CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
AAAI 2021 Commission Fee Is Not Enough: A Hierarchical Reinforced Framework for Portfolio Management Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
AAAI 2021 Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games David Milec, Jakub Cerný, Viliam Lisý, Bo An
AAAI 2021 Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games Youzhi Zhang, Bo An, Jakub Cerný
AAAI 2021 Computing Quantal Stackelberg Equilibrium in Extensive-Form Games Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An
UAI 2021 Contingency-Aware Influence Maximization: A Reinforcement Learning Approach Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe
ICML 2021 Learning from Similarity-Confidence Data Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
IJCAI 2021 Neural Regret-Matching for Distributed Constraint Optimization Problems Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An
NeurIPS 2021 Open-Set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
AAAI 2021 Personalized Adaptive Meta Learning for Cold-Start User Preference Prediction Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An
ICML 2021 Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
NeurIPS 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
IJCAI 2021 Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
IJCAI 2020 Can Cross Entropy Loss Be Robust to Label Noise? Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
AAAI 2020 Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games Youzhi Zhang, Bo An
ICML 2020 Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games Youzhi Zhang, Bo An
IJCAI 2020 Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An
IJCAI 2020 I²HRL: Interactive Influence-Based Hierarchical Reinforcement Learning Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich
UAI 2020 Learning Behaviors with Uncertain Human Feedback Xu He, Haipeng Chen, Bo An
ICML 2020 Learning Efficient Multi-Agent Communication: An Information Bottleneck Approach Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich
ICLR 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An
ICML 2020 Learning with Multiple Complementary Labels Lei Feng, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama
NeurIPS 2020 Provably Consistent Partial-Label Learning Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
IJCAI 2020 Speeding up Incomplete GDL-Based Algorithms for Multi-Agent Optimization with Dense Local Utilities Yanchen Deng, Bo An
AAAI 2019 A Memetic Approach for Sequential Security Games on a Plane with Moving Targets Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An
AAAI 2019 Collaboration Based Multi-Label Learning Lei Feng, Bo An, Shuo He
IJCAI 2019 Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks Wei Qiu, Haipeng Chen, Bo An
NeurIPS 2019 Manipulating a Learning Defender and Ways to Counteract Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael Wooldridge
AAAI 2019 On the Inducibility of Stackelberg Equilibrium for Security Games Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
AAAI 2019 Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings
IJCAI 2019 Partial Label Learning by Semantic Difference Maximization Lei Feng, Bo An
AAAI 2019 Partial Label Learning with Self-Guided Retraining Lei Feng, Bo An
IJCAI 2019 Who Should Pay the Cost: A Game-Theoretic Model for Government Subsidized Investments to Improve National Cybersecurity Xinrun Wang, Bo An, Hau Chan
AAAI 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
AAAI 2018 Data Poisoning Attacks on Multi-Task Relationship Learning Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan
AAAI 2018 DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh
AAAI 2018 Dynamic Pricing for Reusable Resources in Competitive Market with Stochastic Demand Jiang Rong, Tao Qin, Bo An
AAAI 2018 HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An
IJCAI 2018 Impression Allocation for Combating Fraud in E-Commerce via Deep Reinforcement Learning with Action Norm Penalty Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu
IJCAI 2018 Leveraging Latent Label Distributions for Partial Label Learning Lei Feng, Bo An
AAAI 2018 Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems Wanyuan Wang, Bo An, Yichuan Jiang
IJCAI 2018 Stackelberg Security Games: Looking Beyond a Decade of Success Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
IJCAI 2017 Comparing Strategic Secrecy and Stackelberg Commitment in Security Games Qingyu Guo, Bo An, Branislav Bosanský, Christopher Kiekintveld
IJCAI 2017 Defending Against Man-in-the-Middle Attack in Repeated Games Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang
IJCAI 2017 Efficient Label Contamination Attacks Against Black-Box Learning Models Mengchen Zhao, Bo An, Wei Gao, Teng Zhang
IJCAI 2017 Game Theoretic Analysis of Security and Sustainability Bo An
IJCAI 2017 Optimal Escape Interdiction on Transportation Networks Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings
AAAI 2017 Optimal Personalized Defense Strategy Against Man-in-the-Middle Attack Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An
AAAI 2017 POI2Vec: Geographical Latent Representation for Predicting Future Visitors Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee
IJCAI 2017 Playing Repeated Network Interdiction Games with Semi-Bandit Feedback Qingyu Guo, Bo An, Long Tran-Thanh
AAAI 2017 Revenue Maximization for Finitely Repeated Ad Auctions Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
AAAI 2017 Security Games on a Plane Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch
AAAI 2016 Computing Optimal Monitoring Strategy for Detecting Terrorist Plots Zhen Wang, Yue Yin, Bo An
AAAI 2016 Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration) Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe
AAAI 2016 Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
AAAI 2016 Efficient Average Reward Reinforcement Learning Using Constant Shifting Values Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen
IJCAI 2016 Efficient Resource Allocation for Protecting Coral Reef Ecosystems Yue Yin, Bo An
IJCAI 2016 Optimal Interdiction of Illegal Network Flow Qingyu Guo, Bo An, Yair Zick, Chunyan Miao
IJCAI 2016 Optimally Protecting Elections Yue Yin, Yevgeniy Vorobeychik, Bo An, Noam Hazon
AAAI 2016 Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks Mengchen Zhao, Bo An, Christopher Kiekintveld
IJCAI 2015 Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs Yue Yin, Haifeng Xu, Jiarui Gan, Bo An, Albert Xin Jiang
IJCAI 2015 Optimal Electric Vehicle Charging Station Placement Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan
AAAI 2015 Security Games with Protection Externalities Jiarui Gan, Bo An, Yevgeniy Vorobeychik
AAAI 2014 Game-Theoretic Resource Allocation for Protecting Large Public Events Yue Yin, Bo An, Manish Jain
AAAI 2014 Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier
IJCAI 2013 A Reputation Management Approach for Resource Constrained Trustee Agents Han Yu, Chunyan Miao, Bo An, Cyril Leung, Victor R. Lesser
IJCAI 2013 Optimal Pricing for Improving Efficiency of Taxi Systems Jiarui Gan, Bo An, Haizhong Wang, Xiaoming Sun, Zhongzhi Shi
AAAI 2012 PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States Eric Anyung Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer
AAAI 2012 Security Games with Limited Surveillance Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik
AAAI 2011 Refinement of Strong Stackelberg Equilibria in Security Games Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld
IJCAI 2007 Market Based Resource Allocation with Incomplete Information Bo An, Chunyan Miao, Zhiqi Shen