| 2026 | AAAI | GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization. | Yanchen Deng, Xinrun Wang, Bo An |
| 2026 | AAAI | ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading. | Chuqiao Zong, Molei Qin, Haochong Xia, Bo An |
| 2026 | ACL | C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs. | Xuan Feng, Bo An, Tianlong Gu, Liang Chang, Fengrui Hao, Peipeng Yu, Shuai Zhao |
| 2026 | ACL | AgentOCR: Reimagining Agent History via Optical Self-Compression. | Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu, Zhenglin Wan, Ming Yan, Bo An |
| 2026 | ACL | LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification. | Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An |
| 2026 | ACL | SeDev: Structured Semantic Exploration for LLM-Driven Code Generation. | Ronghui Yang, Jie Liu, Jiajie Zeng, Jiexin Wang, Jiuchuan Jiang, Bo An, Yi Cai, Mengchen Zhao |
| 2026 | KDD | 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 |
| 2026 | KDD | Bayesian Robust Financial Trading with Adversarial Synthetic Market Data. | Haochong Xia, Simin Li, Ruixiao Xu, Zhixia Zhang, Hongxiang Wang, Zhiqian Liu, Teng Yao Long, Molei Qin, Chuqiao Zong, Bo An |
| 2026 | KDD | 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 |
| 2026 | WWW | LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting. | Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai, Fei Pan, Bo An, Peng Jiang |
| 2025 | AAAI | Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. | Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An |
| 2025 | ACL | Removing Prompt-template Bias in Reinforcement Learning from Human Feedback. | Chaojie Wang, Haonan Shi, Long Tian, Bo An, Shuicheng Yan |
| 2025 | CVPR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy. | Zhenghai Xue, Bo An, Shuicheng Yan |
| 2025 | ICLR | AgentStudio: A Toolkit for Building General Virtual Agents. | Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan |
| 2025 | ICML | A Closer Look at Backdoor Attacks on CLIP. | Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng |
| 2025 | ICML | 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 |
| 2025 | ICML | Representation Surgery in Model Merging with Probabilistic Modeling. | Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An |
| 2025 | ICML | 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, Brje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu |
| 2025 | ICML | 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 |
| 2025 | KDD | Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head. | Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An |
| 2025 | KDD | A Survey on Trustworthy LLM Agents: Threats and Countermeasures. | Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen |
| 2025 | VTC | 3D-Continuous Fluid Antenna System-Enabled Index Modulation. | Bo An, Liang Wu, Zaichen Zhang |
| 2025 | WWW | GAS: Generative Auto-bidding with Post-training Search. | Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An |
| 2025 | WWW | AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. | Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An |
| 2025 | SIGIR | Generative Auto-Bidding with Value-Guided Explorations. | Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao |
| 2024 | AAAI | Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. | Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An |
| 2024 | AAAI | EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. | Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An |
| 2024 | AAAI | Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. | Haochong Xia, Shuo Sun, Xinrun Wang, Bo An |
| 2024 | AISTATS | Consistent Hierarchical Classification with A Generalized Metric. | Yuzhou Cao, Lei Feng, Bo An |
| 2024 | AISTATS | Mitigating Underfitting in Learning to Defer with Consistent Losses. | Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An |
| 2024 | CVPR | 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 |
| 2024 | ICLR | Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. | Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu |
| 2024 | ICLR | S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. | Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Consistent Multi-Class Classification from Multiple Unlabeled Datasets. | Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng |
| 2024 | ICLR | Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. | Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An |
| 2024 | ICLR | On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. | Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng |
| 2024 | ICML | DAG-Based Column Generation for Adversarial Team Games. | Youzhi Zhang, Bo An, Daniel Dajun Zeng |
| 2024 | ICML | Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. | Lang Feng, Pengjie Gu, Bo An, Gang Pan |
| 2024 | ICML | Safe and Robust Subgame Exploitation in Imperfect Information Games. | Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao |
| 2024 | ICML | 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 |
| 2024 | ICML | Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. | Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li |
| 2024 | IJCAI | PoRank: A Practical Framework for Learning to Rank Policies. | Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An |
| 2024 | IJCAI | Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. | Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | Reinforcement Nash Equilibrium Solver. | Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An |
| 2024 | IJCAI | Reinforcement Learning from Diverse Human Preferences. | Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu |
| 2024 | IJCAI | 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 |
| 2024 | IWQoS | Scheduling Generative-AI Job DAGs with Model Serving in Data Centers. | Ying Zheng, Lei Jiao, Yuedong Xu, Bo An, Xin Wang, Zongpeng Li |
| 2024 | KDD | 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 |
| 2024 | KDD | MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. | Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An |
| 2024 | WCNC | mQUIET: Maximum Quantum Communication Network Transmission Under Reliability Constraint. | Wei An, Yanni Han, Ying Ding, Haiyong Xu, Jibin Wang, Xin Wang, Bo An |
| 2024 | WWW | Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. | Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An |
| 2023 | AAAI | Partial-Label Regression. | Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An |
| 2023 | AAAI | Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. | Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cern, Bo An |
| 2023 | AAAI | An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. | Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao |
| 2023 | AISTATS | Consistent Complementary-Label Learning via Order-Preserving Losses. | Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An |
| 2023 | ICLR | RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. | Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu |
| 2023 | ICLR | Population-size-Aware Policy Optimization for Mean-Field Games. | Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An |
| 2023 | ICLR | 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 |
| 2023 | ICML | Weakly Supervised Regression with Interval Targets. | Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng |
| 2023 | ICML | Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. | Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li |
| 2023 | ICML | 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 |
| 2023 | IJCAI | Complex Contagion Influence Maximization: A Reinforcement Learning Approach. | Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2023 | IJCAI | 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 |
| 2023 | KDD | Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. | Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An |
| 2023 | KDD | PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. | Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An |
| 2023 | RANLP | Tibetan Dependency Parsing with Graph Convolutional Neural Networks. | Bo An |
| 2023 | RANLP | On the Development of Interlinearized Ancient Literature of Ethnic Minorities: A Case Study of the Interlinearization of Ancient Written Tibetan Literature. | Congjun Long, Bo An |
| 2022 | AAAI | Pretrained Cost Model for Distributed Constraint Optimization Problems. | Yanchen Deng, Shufeng Kong, Bo An |
| 2022 | AAAI | GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. | Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An |
| 2022 | AAAI | 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 |
| 2022 | CIKM | Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. | Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang |
| 2022 | CIKM | DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. | Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An |
| 2022 | CVPR | DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. | Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li |
| 2022 | ICLR | Online Ad Hoc Teamwork under Partial Observability. | Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An |
| 2022 | ICML | Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. | Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An |
| 2022 | ICML | Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. | Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An |
| 2022 | ICML | Mitigating Neural Network Overconfidence with Logit Normalization. | Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li |
| 2022 | IJCAI | Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games. | Youzhi Zhang, Bo An, V. S. Subrahmanian |
| 2022 | IJCNN | L2E: Learning to Exploit Your Opponent. | Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing |
| 2021 | AAAI | Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. | Youzhi Zhang, Bo An, Jakub Cern |
| 2021 | AAAI | Computing Quantal Stackelberg Equilibrium in Extensive-Form Games. | Jakub Cern, Viliam Lis, Branislav Bosansk, Bo An |
| 2021 | AAAI | Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. | David Milec, Jakub Cern, Viliam Lis, Bo An |
| 2021 | AAAI | Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. | Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao |
| 2021 | AAAI | Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. | Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An |
| 2021 | ICML | Learning from Similarity-Confidence Data. | Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama |
| 2021 | ICML | Pointwise Binary Classification with Pairwise Confidence Comparisons. | Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama |
| 2021 | IJCAI | Neural Regret-Matching for Distributed Constraint Optimization Problems. | Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An |
| 2021 | IJCAI | CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. | Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An |
| 2021 | IJCAI | 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 |
| 2021 | KDD | Multiple-Instance Learning from Similar and Dissimilar Bags. | Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu |
| 2021 | UAI | Contingency-aware influence maximization: A reinforcement learning approach. | Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe |
| 2020 | AAAI | Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. | Youzhi Zhang, Bo An |
| 2020 | COLING | Enhancing Neural Models with Vulnerability via Adversarial Attack. | Rong Zhang, Qifei Zhou, Bo An, Weiping Li, Tong Mo, Bo Wu |
| 2020 | CVPR | Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. | Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An |
| 2020 | ICDCS | SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud. | Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei |
| 2020 | ICLR | Learning Expensive Coordination: An Event-Based Deep RL Approach. | Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An |
| 2020 | ICML | Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games. | Youzhi Zhang, Bo An |
| 2020 | ICML | Learning with Multiple Complementary Labels. | Lei Feng, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama |
| 2020 | ICML | Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. | Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich |
| 2020 | IJCAI | Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium. | Jakub Cern, Viliam Lis, Branislav Bosansk, Bo An |
| 2020 | IJCAI | Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities. | Yanchen Deng, Bo An |
| 2020 | IJCAI | Can Cross Entropy Loss Be Robust to Label Noise? | Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An |
| 2020 | IJCAI | I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. | Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich |
| 2020 | RecSys | Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. | Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang |
| 2020 | RecSys | Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. | Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang |
| 2020 | UAI | Learning Behaviors with Uncertain Human Feedback. | Xu He, Haipeng Chen, Bo An |
| 2019 | AAAI | Partial Label Learning with Self-Guided Retraining. | Lei Feng, Bo An |
| 2019 | AAAI | Collaboration Based Multi-Label Learning. | Lei Feng, Bo An, Shuo He |
| 2019 | AAAI | On the Inducibility of Stackelberg Equilibrium for Security Games. | Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An |
| 2019 | AAAI | A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. | Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An |
| 2019 | AAAI | Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. | Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings |
| 2019 | EMNLP | EUSP: An Easy-to-Use Semantic Parsing PlatForm. | Bo An, Bo Chen, Xianpei Han, Le Sun |
| 2019 | ICDM | InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. | Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye |
| 2019 | IJCAI | Partial Label Learning by Semantic Difference Maximization. | Lei Feng, Bo An |
| 2019 | IJCAI | Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. | Wei Qiu, Haipeng Chen, Bo An |
| 2019 | IJCAI | Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. | Xinrun Wang, Bo An, Hau Chan |
| 2019 | ICWS | DCStore: A Deduplication-Based Cloud-of-Clouds Storage Service. | Bo An, Yan Li, Junming Ma, Gang Huang, Xiangqun Chen, Donggang Cao |
| 2019 | PRICAI | Social Cost Guarantees in Smart Route Guidance. | Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings |
| 2019 | WWW | Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. | Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao |
| 2018 | AAAI | 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 |
| 2018 | AAAI | Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. | Jiang Rong, Tao Qin, Bo An |
| 2018 | AAAI | Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems. | Wanyuan Wang, Bo An, Yichuan Jiang |
| 2018 | AAAI | Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. | Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong |
| 2018 | AAAI | HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. | Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An |
| 2018 | AAAI | Data Poisoning Attacks on Multi-Task Relationship Learning. | Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan |
| 2018 | COLING | Model-Free Context-Aware Word Composition. | Bo An, Xianpei Han, Le Sun |
| 2018 | COLING | Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing. | Bo Chen, Bo An, Le Sun, Xianpei Han |
| 2018 | COMPSAC | BDViewer - A Web-Based Big Data Processing and Visualization Tool. | Yan Li, Junming Ma, Bo An, Donggang Cao |
| 2018 | COMPSAC | DistGear: A Lightweight Event-Driven Framework for Developing Distributed Applications. | Junming Ma, Bo An, Xiangqun Chen, Donggang Cao |
| 2018 | IJCAI | Leveraging Latent Label Distributions for Partial Label Learning. | Lei Feng, Bo An |
| 2018 | IJCAI | Stackelberg Security Games: Looking Beyond a Decade of Success. | Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe |
| 2018 | IJCAI | 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 |
| 2018 | NAACL | Accurate Text-Enhanced Knowledge Graph Representation Learning. | Bo An, Bo Chen, Xianpei Han, Le Sun |
| 2017 | AAAI | POI2Vec: Geographical Latent Representation for Predicting Future Visitors. | Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee |
| 2017 | AAAI | Security Games on a Plane. | Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch |
| 2017 | AAAI | Strategic Information Revelation and Commitment in Security Games. | Qingyu Guo, Bo An, Branislav Bosansk, Christopher Kiekintveld |
| 2017 | AAAI | Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. | Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An |
| 2017 | AAAI | Revenue Maximization for Finitely Repeated Ad Auctions. | Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu |
| 2017 | IJCAI | Game Theoretic Analysis of Security and Sustainability. | Bo An |
| 2017 | IJCAI | Comparing Strategic Secrecy and Stackelberg Commitment in Security Games. | Qingyu Guo, Bo An, Branislav Bosansk, Christopher Kiekintveld |
| 2017 | IJCAI | Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. | Qingyu Guo, Bo An, Long Tran-Thanh |
| 2017 | IJCAI | Defending Against Man-In-The-Middle Attack in Repeated Games. | Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang |
| 2017 | IJCAI | Optimal Escape Interdiction on Transportation Networks. | Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings |
| 2017 | IJCAI | Efficient Label Contamination Attacks Against Black-Box Learning Models. | Mengchen Zhao, Bo An, Wei Gao, Teng Zhang |
| 2017 | ICWS | Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments. | Li Pan, Bo An, Shijun Liu, Lizhen Cui |
| 2016 | AAAI | 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 |
| 2016 | AAAI | 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 |
| 2016 | AAAI | Computing Optimal Monitoring Strategy for Detecting Terrorist Plots. | Zhen Wang, Yue Yin, Bo An |
| 2016 | AAAI | Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. | Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen |
| 2016 | AAAI | Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. | Mengchen Zhao, Bo An, Christopher Kiekintveld |
| 2016 | ACL | Sentence Rewriting for Semantic Parsing. | Bo Chen, Le Sun, Xianpei Han, Bo An |
| 2016 | ECAI | Modeling Bounded Rationality for Sponsored Search Auctions. | Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu |
| 2016 | IJCAI | Optimal Interdiction of Illegal Network Flow. | Qingyu Guo, Bo An, Yair Zick, Chunyan Miao |
| 2016 | IJCAI | Efficient Resource Allocation for Protecting Coral Reef Ecosystems. | Yue Yin, Bo An |
| 2016 | IJCAI | Optimally Protecting Elections. | Yue Yin, Yevgeniy Vorobeychik, Bo An, Noam Hazon |
| 2016 | KDD | MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. | Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian |
| 2015 | AAAI | Game Theoretic Considerations for Optimizing Efficiency of Taxi Systems. | Jiarui Gan, Bo An |
| 2015 | AAAI | Security Games with Protection Externalities. | Jiarui Gan, Bo An, Yevgeniy Vorobeychik |
| 2015 | ICALT | Modeling Learner's Emotions with PAD. | Matthias Chan Yong Shun, Miao-Chun Yan, Bo An, Cyril Leung |
| 2015 | ICALT | Learning Personality Modeling for Regulating Learning Feedback. | Matthias Chan Yong Shun, Miao-Chun Yan, Zhiqi Shen, Bo An |
| 2015 | IJCAI | Optimal Electric Vehicle Charging Station Placement. | Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan |
| 2015 | IJCAI | Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs. | Yue Yin, Haifeng Xu, Jiarui Gan, Bo An, Albert Xin Jiang |
| 2014 | AAAI | Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. | Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier |
| 2014 | AAAI | Game-Theoretic Resource Allocation for Protecting Large Public Events. | Yue Yin, Bo An, Manish Jain |
| 2014 | ECAI | Human-Computer Negotiation in Three-Player Market Settings. | Galit Haim, Ya'akov (Kobi) Gal, Sarit Kraus, Bo An |
| 2013 | IJCAI | Optimal Pricing for Improving Efficiency of Taxi Systems. | Jiarui Gan, Bo An, Haizhong Wang, Xiaoming Sun, Zhongzhi Shi |
| 2013 | IJCAI | A Reputation Management Approach for Resource Constrained Trustee Agents. | Han Yu, Chunyan Miao, Bo An, Cyril Leung, Victor R. Lesser |
| 2012 | AAAI | Security Games with Limited Surveillance. | Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik |
| 2012 | AAAI | 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 |
| 2012 | AAMAS | Multi-objective optimization for security games. | Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordez, Milind Tambe |
| 2012 | AAMAS | PROTECT: a deployed game theoretic system to protect the ports of the United States. | Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer |
| 2012 | AAMAS | Adversarial patrolling games. | Yevgeniy Vorobeychik, Bo An, Milind Tambe |
| 2012 | PRIMA | An Adaptive Witness Selection Method for Reputation-Based Trust Models. | Han Yu, Zhiqi Shen, Bo An |
| 2011 | AAAI | Refinement of Strong Stackelberg Equilibria in Security Games. | Bo An, Milind Tambe, Fernando Ordez, Eric Anyung Shieh, Christopher Kiekintveld |
| 2011 | EUMAS | Game Theory for Security: An Important Challenge for Multiagent Systems. | Bo An, Milind Tambe |
| 2007 | CEC | Evolving the best-response strategy to decide when to make a proposal. | Bo An, Kwang Mong Sim, Victor R. Lesser |
| 2007 | IJCAI | Market Based Resource Allocation with Incomplete Information. | Bo An, Chunyan Miao, Zhiqi Shen |
| 2005 | CIS | Transitive Dependence Based Formation of Virtual Organizations. | Bo An, Chunyan Miao, Zhiqi Shen, Yuan Miao, Daijie Cheng |
| 2005 | IDEAL | Toward Transitive Dependence in MAS. | Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, Daijie Cheng |
| 2005 | IDEAL | A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation. | Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, Daijie Cheng |