A Negotiation Strategy based on Uncompromising Degree. - Bo An 001; Lianggui Tang; Shuangqing Li; Daijie Cheng (IAT, 2004)

Transitive Dependence Based Formation of Virtual Organizations. - Bo An 001; Chunyan Miao; Zhiqi Shen 001; Yuan Miao 001; Daijie Cheng (CIS (1), 2005)

Toward Transitive Dependence in MAS. - Bo An 001; Chunyan Miao; Lianggui Tang; Shuangqing Li; Daijie Cheng (IDEAL, 2005)

A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation. - Bo An 001; Chunyan Miao; Lianggui Tang; Shuangqing Li; Daijie Cheng (IDEAL, 2005)

A Coalition Formation Framework Based on Transitive Dependence. - Bo An 001; Chunyan Miao; Daijie Cheng (IEICE Trans. Inf. Syst., 2005)

Fuzzy cognitive maps for dynamic grid service negotiation. - Chunyan Miao; Jianshu Weng; Angela Goh; Zhiqi Shen 001; Bo An 001 (Multiagent Grid Syst., 2006)

Continuous-Time Negotiation Mechanism for Software Agents. - Bo An 001; Kwang Mong Sim 001; Liang Gui Tang; Shuang Qing Li; Dai Jie Cheng (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Evolving the best-response strategy to decide when to make a proposal. - Bo An 001; Kwang Mong Sim 001; Victor R. Lesser (IEEE Congress on Evolutionary Computation, 2007)

An Application of Automated Negotiation to Distributed Task Allocation. - Michael Krainin; Bo An 001; Victor R. Lesser (IAT, 2007)

Market Based Resource Allocation with Incomplete Information. - Bo An 001; Chunyan Miao; Zhiqi Shen 001 (IJCAI, 2007)

An Agent Reinforcement Learning Model Based on Neural Networks. - Lianggui Tang; Bo An 001; Daijie Cheng (LSMS (1), 2007)

Algorithms for Transitive Dependence-Based Coalition Formation. - Bo An 001; Zhiqi Shen 001; Chunyan Miao; Daijie Cheng (IEEE Trans. Ind. Informatics, 2007)

Heuristics for negotiation schedules in multi-plan optimization. - Bo An 001; Fred Douglis; Fan Ye 003 (AAMAS (2), 2008)

Decommitment in multi-resource negotiation. - Bo An 001; Victor R. Lesser; Kwang Mong Sim 001 (AAMAS (3), 2008)

Bilateral Bargaining with One-Sided Two-Type Uncertainty. - Bo An 001; Nicola Gatti 001; Victor R. Lesser (IAT, 2009)

Extending Alternating-Offers Bargaining in One-to-Many and Many-to-Many Settings. - Bo An 001; Nicola Gatti 001; Victor R. Lesser (IAT, 2009)

Evolving Best-Response Strategies for Market-Driven Agents Using Aggregative Fitness GA. - Kwang Mong Sim 001; Bo An 001 (IEEE Trans. Syst. Man Cybern. Part C, 2009)

Searching for pure strategy equilibria in bilateral bargaining with one-sided uncertainty. - Bo An 001; Nicola Gatti 001; Victor R. Lesser (AAMAS, 2010)

Automated negotiation with decommitment for dynamic resource allocation in cloud computing. - Bo An 001; Victor R. Lesser; David E. Irwin 001; Michael Zink (AAMAS, 2010)

Multi-Agent Asynchronous Negotiation Based on Time-Delay. - Lianggui Tang; Bo An 001 (LSMS/ICSEE (1), 2010)

Characterizing Contract-Based Multiagent Resource Allocation in Networks. - Bo An 001; Victor R. Lesser (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Refinement of Strong Stackelberg Equilibria in Security Games. - Bo An 001; Milind Tambe; Fernando Ordóñez; Eric Anyung Shieh; Christopher Kiekintveld (AAAI, 2011)

Mixed-Initiative Optimization in Security Games: A Preliminary Report. - Bo An 001; Manish Jain; Milind Tambe; Christopher Kiekintveld (AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011)

Negotiation over decommitment penalty. - Bo An 001; Victor R. Lesser (AAMAS, 2011)

Agent-mediated multi-step optimization for resource allocation in distributed sensor networks. - Bo An 001; Victor R. Lesser; David Westbrook; Michael Zink (AAMAS, 2011)

Game Theory for Security: An Important Challenge for Multiagent Systems. - Bo An 001; Milind Tambe (EUMAS, 2011)

Strategic agents for multi-resource negotiation. - Bo An 001; Victor R. Lesser; Kwang Mong Sim 001 (Auton. Agents Multi Agent Syst., 2011)

GUARDS and PROTECT: next generation applications of security games. - Bo An 001; James Pita; Eric Anyung Shieh; Milind Tambe; Christopher Kiekintveld; Janusz Marecki (SIGecom Exch., 2011)

Security Games with Limited Surveillance. - Bo An 001; David Kempe 001; Christopher Kiekintveld; Eric Shieh; Satinder Singh 001; Milind Tambe; Yevgeniy Vorobeychik (AAAI, 2012)

PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States. - Eric Anyung Shieh; Bo An 001; Rong Yang 001; Milind Tambe; Craig Baldwin; Joseph DiRenzo; Ben Maule; Garrett Meyer (AAAI, 2012)

Security Games with Limited Surveillance: An Initial Report. - Bo An 001; David Kempe 001; Christopher Kiekintveld; Eric Anyung Shieh; Satinder Singh 001; Milind Tambe; Yevgeniy Vorobeychik (AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health, 2012)

Getting Started on a Real-World Challenge Problem in Computational Game Theory and Beyond. - Milind Tambe; Bo An 001 (AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge, 2012)

Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond. - Milind Tambe; Bo An 001 (AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health, 2012)

Multi-objective optimization for security games. - Matthew Brown 002; Bo An 001; Christopher Kiekintveld; Fernando Ordóñez; Milind Tambe (AAMAS, 2012)

PROTECT: a deployed game theoretic system to protect the ports of the United States. - Eric Shieh; Bo An 001; Rong Yang 001; Milind Tambe; Craig Baldwin; Joseph DiRenzo; Ben Maule; Garrett Meyer (AAMAS, 2012)

Adversarial patrolling games. - Yevgeniy Vorobeychik; Bo An 001; Milind Tambe (AAMAS, 2012)

Challenges and Opportunities for Trust Management in Crowdsourcing. - Han Yu 001; Zhiqi Shen 001; Chunyan Miao; Bo An 001 (IAT, 2012)

An Adaptive Witness Selection Method for Reputation-Based Trust Models. - Han Yu 001; Zhiqi Shen 001; Bo An 001 (PRIMA, 2012)

Reports of the AAAI 2012 Spring Symposia. - Harith Alani; Bo An 001; Manish Jain; Takashi Kido; George Dimitri Konidaris; William F. Lawless; David L. Martin 001; Caroline Pantofaru; Donald A. Sofge; Keiki Takadama; Milind Tambe; Tomas Vitvar (AI Mag., 2012)

PROTECT - A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard. - Bo An 001; Eric Shieh; Milind Tambe; Rong Yang 001; Craig Baldwin; Joseph DiRenzo; Ben Maule; Garrett Meyer (AI Mag., 2012)

An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Safety. - Manish Jain; Bo An 001; Milind Tambe (AI Mag., 2012)

Yushu: A Heuristic-Based Agent for Automated Negotiating Competition. - Bo An 001; Victor R. Lesser (New Trends in Agent-Based Complex Automated Negotiations, 2012)

Security games with surveillance cost and optimal timing of attack execution. - Bo An 001; Matthew Brown 002; Yevgeniy Vorobeychik; Milind Tambe (AAMAS, 2013)

A reputation-aware decision-making approach for improving the efficiency of crowdsourcing systems. - Han Yu 001; Zhiqi Shen 001; Chunyan Miao; Bo An 001 (AAMAS, 2013)

Optimal Pricing for Improving Efficiency of Taxi Systems. - Jiarui Gan; Bo An 001; Haizhong Wang; Xiaoming Sun; Zhongzhi Shi (IJCAI, 2013)

A Reputation Management Approach for Resource Constrained Trustee Agents. - Han Yu 001; Chunyan Miao; Bo An 001; Cyril Leung; Victor R. Lesser (IJCAI, 2013)

Bilateral bargaining with one-sided uncertain reserve prices. - Bo An 001; Nicola Gatti 001; Victor R. Lesser (Auton. Agents Multi Agent Syst., 2013)

A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard. - Bo An 001; Fernando Ordóñez; Milind Tambe; Eric Shieh; Rong Yang 001; Craig Baldwin; Joseph DiRenzo; Kathryn Moretti; Ben Maule; Garrett Meyer (Interfaces, 2013)

Security Games Applied to Real-World: Research Contributions and Challenges. - Manish Jain; Bo An 001; Milind Tambe (Moving Target Defense, 2013)

Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. - Thanh Hong Nguyen; Amulya Yadav; Bo An 001; Milind Tambe; Craig Boutilier (AAAI, 2014)

Game-Theoretic Resource Allocation for Protecting Large Public Events. - Yue Yin; Bo An 001; Manish Jain (AAAI, 2014)

Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Games. - Yevgeniy Vorobeychik; Bo An 001; Milind Tambe; Satinder Singh 001 (ICAPS, 2014)

An efficient algorithm for taxi system optimization. - Jiarui Gan; Bo An 001; Chunyan Miao (AAMAS, 2014)

A practical robustness measure of incentive mechanisms. - Yuan Liu 002; Jie Zhang 002; Bo An 001; Sandip Sen (AAMAS, 2014)

Modeling curiosity for virtual learning companions. - Qiong Wu 001; Chunyan Miao; Bo An 001 (AAMAS, 2014)

Dynamic allocation of security resources for protecting public events. - Yue Yin; Bo An 001; Manish Jain (AAMAS, 2014)

Reputation-aware task allocation for human trustees. - Han Yu 001; Chunyan Miao; Bo An 001; Zhiqi Shen 001; Cyril Leung (AAMAS, 2014)

Human-Computer Negotiation in Three-Player Market Settings. - Galit Haim; Ya'akov (Kobi) Gal; Sarit Kraus; Bo An 001 (ECAI, 2014)

A New Paradigm for the Study of Corruption in Different Cultures. - Ya'akov (Kobi) Gal; Avi Rosenfeld; Sarit Kraus; Michele Gelfand; Bo An 001; Jun Lin 006 (SBP, 2014)

An extended study on multi-objective security games. - Matthew Brown 002; Bo An 001; Christopher Kiekintveld; Fernando Ordóñez; Milind Tambe (Auton. Agents Multi Agent Syst., 2014)

Filtering trust opinions through reinforcement learning. - Han Yu 001; Zhiqi Shen 001; Chunyan Miao; Bo An 001; Cyril Leung (Decis. Support Syst., 2014)

Game Theoretic Considerations for Optimizing Efficiency of Taxi Systems. - Jiarui Gan; Bo An 001 (AAAI Workshop: Computational Sustainability, 2015)

Security Games with Protection Externalities. - Jiarui Gan; Bo An 001; Yevgeniy Vorobeychik (AAAI, 2015)

Optimizing Efficiency of Taxi Systems: Scaling-up and Handling Arbitrary Constraints. - Jiarui Gan; Bo An 001; Chunyan Miao (AAMAS, 2015)

Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction. - Yujing Hu; Yang Gao 001; Bo An 001 (AAMAS, 2015)

Computing Quantal Response Equilibrium for Sponsored Search Auctions. - Jiang Rong; Tao Qin 001; Bo An 001 (AAMAS, 2015)

Modeling Learner's Emotions with PAD. - Matthias Chan Yong Shun; Miao-Chun Yan; Bo An 001; Cyril Leung (ICALT, 2015)

Learning Personality Modeling for Regulating Learning Feedback. - Matthias Chan Yong Shun; Miao-Chun Yan; Zhiqi Shen 001; Bo An 001 (ICALT, 2015)

Optimal Electric Vehicle Charging Station Placement. - Yanhai Xiong; Jiarui Gan; Bo An 001; Chunyan Miao; Ana L. C. Bazzan (IJCAI, 2015)

Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs. - Yue Yin; Haifeng Xu; Jiarui Gan; Bo An 001; Albert Xin Jiang (IJCAI, 2015)

Multiagent Reinforcement Learning With Unshared Value Functions. - Yujing Hu; Yang Gao 001; Bo An 001 (IEEE Trans. Cybern., 2015)

Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer. - Yujing Hu; Yang Gao 001; Bo An 001 (IEEE Trans. Cybern., 2015)

Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Milind Tambe (AAAI, 2016)

Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Milind Tambe; Andrew Lemieux (AAAI, 2016)

Computing Optimal Monitoring Strategy for Detecting Terrorist Plots. - Zhen Wang; Yue Yin; Bo An 001 (AAAI, 2016)

Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. - Shangdong Yang; Yang Gao 001; Bo An 001; Hao Wang 013; Xingguo Chen (AAAI, 2016)

Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. - Mengchen Zhao; Bo An 001; Christopher Kiekintveld (AAAI, 2016)

Coalitional Security Games. - Qingyu Guo; Bo An 001; Yevgeniy Vorobeychik; Long Tran-Thanh; Jiarui Gan; Chunyan Miao (AAMAS, 2016)

Optimal Sample Size for Adword Auctions: (Extended Abstract). - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (AAMAS, 2016)

Measuring the Distance Between Finite Markov Decision Processes. - Jinhua Song; Yang Gao 001; Hao Wang 013; Bo An 001 (AAMAS, 2016)

Optimal Pricing for Efficient Electric Vehicle Charging Station Management. - Yanhai Xiong; Jiarui Gan; Bo An 001; Chunyan Miao; Yeng Chai Soh (AAMAS, 2016)

Modeling Bounded Rationality for Sponsored Search Auctions. - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (ECAI, 2016)

Optimal Interdiction of Illegal Network Flow. - Qingyu Guo; Bo An 001; Yair Zick; Chunyan Miao (IJCAI, 2016)

Efficient Resource Allocation for Protecting Coral Reef Ecosystems. - Yue Yin; Bo An 001 (IJCAI, 2016)

Optimally Protecting Elections. - Yue Yin; Yevgeniy Vorobeychik; Bo An 001; Noam Hazon (IJCAI, 2016)

MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. - Bo An 001; Haipeng Chen 001; Noseong Park; V. S. Subrahmanian (KDD, 2016)

A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems. - Yuan Liu 002; Jie Zhang 002; Bo An 001; Sandip Sen (Auton. Agents Multi Agent Syst., 2016)

Alternating-offers bargaining in one-to-many and many-to-many settings. - Bo An 001; Nicola Gatti 001; Victor R. Lesser (Ann. Math. Artif. Intell., 2016)

Recent advances in Support Vector Machines. - Shifei Ding; Zhongzhi Shi; Dacheng Tao; Bo An 001 (Neurocomputing, 2016)

POI2Vec: Geographical Latent Representation for Predicting Future Visitors. - Shanshan Feng 001; Gao Cong; Bo An 001; Yeow Meng Chee (AAAI, 2017)

Security Games on a Plane. - Jiarui Gan; Bo An 001; Yevgeniy Vorobeychik; Brian Gauch (AAAI, 2017)

Strategic Information Revelation and Commitment in Security Games. - Qingyu Guo; Bo An 001; Branislav Bosanský; Christopher Kiekintveld (AAAI Workshops, 2017)

Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. - Xiaohong Li 001; Shuxin Li 001; Jianye Hao; Zhiyong Feng 002; Bo An 001 (AAAI, 2017)

Revenue Maximization for Finitely Repeated Ad Auctions. - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (AAAI, 2017)

Pricing Optimization for Selling Reusable Resources. - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (AAMAS, 2017)

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

Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments. - Li Pan 001; Bo An 001; Shijun Liu; Lizhen Cui (ICWS, 2017)

Game Theoretic Analysis of Security and Sustainability. - Bo An 001 (IJCAI, 2017)

Comparing Strategic Secrecy and Stackelberg Commitment in Security Games. - Qingyu Guo; Bo An 001; Branislav Bosanský; Christopher Kiekintveld (IJCAI, 2017)

Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. - Qingyu Guo; Bo An 001; Long Tran-Thanh (IJCAI, 2017)

Defending Against Man-In-The-Middle Attack in Repeated Games. - Shuxin Li 001; Xiaohong Li 001; Jianye Hao; Bo An 001; Zhiyong Feng 002; Kangjie Chen; Chengwei Zhang 001 (IJCAI, 2017)

Optimal Escape Interdiction on Transportation Networks. - Youzhi Zhang 001; Bo An 001; Long Tran-Thanh; Zhen Wang; Jiarui Gan; Nicholas R. Jennings (IJCAI, 2017)

Efficient Label Contamination Attacks Against Black-Box Learning Models. - Mengchen Zhao; Bo An 001; Wei Gao 008; Teng Zhang 001 (IJCAI, 2017)

Human-computer negotiation in a three player market setting. - Galit Haim; Ya'akov (Kobi) Gal; Bo An 001; Sarit Kraus (Artif. Intell., 2017)

PAWS - A Deployed Game-Theoretic Application to Combat Poaching. - Fei Fang 001; Thanh Hong Nguyen; Rob Pickles; Wai Y. Lam; Gopalasamy R. Clements; Bo An 001; Amandeep Singh; Brian C. Schwedock; Milind Tambe; Andrew Lemieux (AI Mag., 2017)

Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. - Pradeep Varakantham; Bo An 001; Bryan Low; Jie Zhang 002 (AI Mag., 2017)

Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance. - Xiaobo Ma; Yihui He; Xiapu Luo; Jianfeng Li 006; Mengchen Zhao; Bo An 001; Xiaohong Guan (CoRR, 2017)

Game-Theoretic Considerations for Optimizing Taxi System Efficiency. - Jiarui Gan; Bo An 001 (IEEE Intell. Syst., 2017)

Measuring the social influences of scientist groups based on multiple types of collaboration relations. - Jiuchuan Jiang; Peng Shi; Bo An 001; Jianyong Yu; Chongjun Wang (Inf. Process. Manag., 2017)

Workload Factoring and Resource Sharing via Joint Vertical and Horizontal Cloud Federation Networks. - Haipeng Chen 001; Bo An 001; Dusit Niyato; Yeng Chai Soh; Chunyan Miao (IEEE J. Sel. Areas Commun., 2017)

Toward Efficient Team Formation for Crowdsourcing in Noncooperative Social Networks. - Wanyuan Wang; Jiuchuan Jiang; Bo An 001; Yichuan Jiang; Bing Chen 002 (IEEE Trans. Cybern., 2017)

Data-Driven Frequency-Based Airline Profit Maximization. - Bo An 001; Haipeng Chen 001; Noseong Park; V. S. Subrahmanian (ACM Trans. Intell. Syst. Technol., 2017)

DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. - Haipeng Chen 001; Bo An 001; Guni Sharon; Josiah P. Hanna; Peter Stone 001; Chunyan Miao; Yeng Chai Soh (AAAI, 2018)

Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. - Jiang Rong; Tao Qin 001; Bo An 001 (AAAI, 2018)

Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems. - Wanyuan Wang; Bo An 001; Yichuan Jiang (AAAI, 2018)

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)

HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. - Yanhai Xiong; Haipeng Chen 001; Mengchen Zhao; Bo An 001 (AAAI, 2018)

Data Poisoning Attacks on Multi-Task Relationship Learning. - Mengchen Zhao; Bo An 001; Yaodong Yu; Sulin Liu; Sinno Jialin Pan (AAAI, 2018)

Inducible Equilibrium for Security Games. - Qingyu Guo; Jiarui Gan; Fei Fang 001; Long Tran-Thanh; Milind Tambe; Bo An 001 (AAMAS, 2018)

Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. - Kai Wang 040; Qingyu Guo; Phebe Vayanos; Milind Tambe; Bo An 001 (AAMAS, 2018)

Leveraging Latent Label Distributions for Partial Label Learning. - Lei Feng 006; Bo An 001 (IJCAI, 2018)

Stackelberg Security Games: Looking Beyond a Decade of Success. - Arunesh Sinha; Fei Fang 001; Bo An 001; Christopher Kiekintveld; Milind Tambe (IJCAI, 2018)

Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. - Mengchen Zhao; Zhao Li 007; Bo An 001; Haifeng Lu; Yifan Yang 001; Chen Chu (IJCAI, 2018)

Predicting Human Decision-Making: From Prediction to Action, Ariel Rosenfeld, Sarit Kraus. Morgan & Claypool Publishers (2018). - Bo An 001 (Artif. Intell., 2018)

Optimal defense against election control by deleting voter groups. - Yue Yin; Yevgeniy Vorobeychik; Bo An 001; Noam Hazon (Artif. Intell., 2018)

Camera Placement Based on Vehicle Traffic for Better City Security Surveillance. - Xiaobo Ma; Yihui He; Xiapu Luo; Jianfeng Li 006; Mengchen Zhao; Bo An 001; Xiaohong Guan (IEEE Intell. Syst., 2018)

Active learning with confidence-based answers for crowdsourcing labeling tasks. - Jinhua Song; Hao Wang 013; Yang Gao 001; Bo An 001 (Knowl. Based Syst., 2018)

Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. - Jiuchuan Jiang; Bo An 001; Yichuan Jiang; Donghui Lin; Zhan Bu; Jie Cao 001; Zhifeng Hao (ACM Trans. Auton. Adapt. Syst., 2018)

ACM TIST Special Issue on Urban Intelligence. - Bo An 001; Nicholas R. Jennings; Zhenhui Jessie Li (ACM Trans. Intell. Syst. Technol., 2018)

Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. - Yanhai Xiong; Jiarui Gan; Bo An 001; Chunyan Miao; Ana L. C. Bazzan (IEEE Trans. Intell. Transp. Syst., 2018)

Partial Label Learning with Self-Guided Retraining. - Lei Feng 006; Bo An 001 (AAAI, 2019)

Collaboration Based Multi-Label Learning. - Lei Feng 006; Bo An 001; Shuo He 001 (AAAI, 2019)

On the Inducibility of Stackelberg Equilibrium for Security Games. - Qingyu Guo; Jiarui Gan; Fei Fang 001; Long Tran-Thanh; Milind Tambe; Bo An 001 (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 001 (AAAI, 2019)

Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. - Youzhi Zhang 001; Qingyu Guo; Bo An 001; Long Tran-Thanh; Nicholas R. Jennings (AAAI, 2019)

Competitive Bridge Bidding with Deep Neural Networks. - Jiang Rong; Tao Qin 001; Bo An 001 (AAMAS, 2019)

Efficient City-Scale Patrolling Using Decomposition and Grafting. - Wanyuan Wang; Zichen Dong; Bo An 001; Yichuan Jiang (AAMAS, 2019)

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)

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. - Haipeng Chen 001; Yan Jiao; Zhiwei (Tony) Qin; Xiaocheng Tang; Hao Li; Bo An 001; Hongtu Zhu; Jieping Ye (ICDM, 2019)

Partial Label Learning by Semantic Difference Maximization. - Lei Feng 006; Bo An 001 (IJCAI, 2019)

Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. - Wei Qiu 001; Haipeng Chen 001; Bo An 001 (IJCAI, 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)

Manipulating a Learning Defender and Ways to Counteract. - Jiarui Gan; Qingyu Guo; Long Tran-Thanh; Bo An 001; Michael J. Wooldridge (NeurIPS, 2019)

Social Cost Guarantees in Smart Route Guidance. - Paolo Serafino; Carmine Ventre; Long Tran-Thanh; Jie Zhang 008; Bo An 001; Nick R. Jennings (PRICAI (2), 2019)

Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. - Qingyu Guo; Zhao Li 007; Bo An 001; Pengrui Hui; Jiaming Huang; Long Zhang; Mengchen Zhao (WWW, 2019)

A branch and price algorithm for EOS constellation imaging and downloading integrated scheduling problem. - Xiaoxuan Hu; Waiming Zhu; Bo An 001; Peng Jin; Wei Xia 002 (Comput. Oper. Res., 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)

Learning from Multiple Complementary Labels. - Lei Feng 006; Bo An 001 (CoRR, 2019)

Protecting internet infrastructure against link flooding attacks: A techno-economic perspective. - Xiaobo Ma; Jianfeng Li 006; Yajuan Tang; Bo An 001; Xiaohong Guan (Inf. Sci., 2019)

Competitive Cloud Pricing for Long-Term Revenue Maximization. - Jiang Rong; Tao Qin 001; Bo An 001 (J. Comput. Sci. Technol., 2019)

Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. - Wanyuan Wang; Zhanpeng He; Peng Shi; Weiwei Wu 001; Yichuan Jiang; Bo An 001; Zhifeng Hao; Bing Chen 002 (IEEE Trans. Mob. Comput., 2019)

Batch Allocation for Tasks with Overlapping Skill Requirements in Crowdsourcing. - Jiuchuan Jiang; Bo An 001; Yichuan Jiang; Peng Shi; Zhan Bu; Jie Cao 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. - Youzhi Zhang 001; Bo An 001 (AAAI, 2020)

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)

Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. - Hongxin Wei; Lei Feng 006; Xiangyu Chen; Bo An 001 (CVPR, 2020)

Battery Management for Automated Warehouses via Deep Reinforcement Learning. - Yanchen Deng; Bo An 001; Zongmin Qiu; Liuxi Li; Yong Wang; Yinghui Xu (DAI, 2020)

Context-Aware Multi-agent Coordination with Loose Couplings and Repeated Interaction. - Feifei Lin; Xu He; Bo An 001 (DAI, 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)

Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games. - Youzhi Zhang 001; Bo An 001 (ICML, 2020)

Learning with Multiple Complementary Labels. - Lei Feng 006; Takuo Kaneko; Bo Han 003; Gang Niu 001; Bo An 001; Masashi Sugiyama (ICML, 2020)

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. - Rundong Wang; Xu He; Runsheng Yu; Wei Qiu 001; Bo An 001; Zinovi Rabinovich (ICML, 2020)

Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium. - Jakub Cerný; Viliam Lisý; Branislav Bosanský; Bo An 001 (IJCAI, 2020)

Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities. - Yanchen Deng; Bo An 001 (IJCAI, 2020)

Can Cross Entropy Loss Be Robust to Label Noise? - Lei Feng 006; Senlin Shu; Zhuoyi Lin; Fengmao Lv; Li Li 006; Bo An 001 (IJCAI, 2020)

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. - Rundong Wang; Runsheng Yu; Bo An 001; Zinovi Rabinovich (IJCAI, 2020)

Provably Consistent Partial-Label Learning. - Lei Feng 006; Jiaqi Lv; Bo Han 003; Miao Xu 001; Gang Niu 001; Xin Geng 001; Bo An 001; Masashi Sugiyama (NeurIPS, 2020)

Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. - Xu He; Bo An 001; Yanghua Li; Haikai Chen; Qingyu Guo; Xin Li; Zhirong Wang (RecSys, 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)

Finite State Machines Play Extensive-Form Games. - Jakub Cerný; Branislav Bosanský; Bo An 001 (EC, 2020)

Learning Behaviors with Uncertain Human Feedback. - Xu He; Haipeng Chen 001; Bo An 001 (UAI, 2020)

Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. - Youzhi Zhang 001; Bo An 001 (CoRR, 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)

MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. - Hongxin Wei; Lei Feng 006; Rundong Wang; Bo An 001 (CoRR, 2020)

Optimal Spot-Checking for Improving the Evaluation Quality of Crowdsourcing: Application to Peer Grading Systems. - Wanyuan Wang; Bo An 001; Yichuan Jiang (IEEE Trans. Comput. Soc. Syst., 2020)

Randomized Security Patrolling for Link Flooding Attack Detection. - Xiaobo Ma; Bo An 001; Mengchen Zhao; Xiapu Luo; Lei Xue 001; Zhenhua Li 001; Tony T. N. Miu; Xiaohong Guan (IEEE Trans. Dependable Secur. Comput., 2020)

Context-Aware Reliable Crowdsourcing in Social Networks. - Jiuchuan Jiang; Bo An 001; Yichuan Jiang; Donghui Lin (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. - Youzhi Zhang 001; Bo An 001; Jakub Cerný (AAAI, 2021)

Computing Quantal Stackelberg Equilibrium in Extensive-Form Games. - Jakub Cerný; Viliam Lisý; Branislav Bosanský; Bo An 001 (AAAI, 2021)

Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. - David Milec; Jakub Cerný; Viliam Lisý; Bo An 001 (AAAI, 2021)

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. - Rundong Wang; Hongxin Wei; Bo An 001; Zhouyan Feng; Jun Yao (AAAI, 2021)

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. - Runsheng Yu; Yu Gong; Xu He; Yu Zhu 007; Qingwen Liu 002; Wenwu Ou; Bo An 001 (AAAI, 2021)

Learning from Similarity-Confidence Data. - Yuzhou Cao; Lei Feng 006; Yitian Xu; Bo An 001; Gang Niu 001; Masashi Sugiyama (ICML, 2021)

Pointwise Binary Classification with Pairwise Confidence Comparisons. - Lei Feng 006; Senlin Shu; Nan Lu; Bo Han 003; Miao Xu 001; Gang Niu 001; Bo An 001; Masashi Sugiyama (ICML, 2021)

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)

Multiple-Instance Learning from Similar and Dissimilar Bags. - Lei Feng 006; Senlin Shu; Yuzhou Cao; Lue Tao; Hongxin Wei; Tao Xiang 001; Bo An 001; Gang Niu 001 (KDD, 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)

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. - Hongxin Wei; Lue Tao; Renchunzi Xie; Bo An 001 (NeurIPS, 2021)

Contingency-aware influence maximization: A reinforcement learning approach. - Haipeng Chen 001; Wei Qiu 001; Han-Ching Ou; Bo An 001; Milind Tambe (UAI, 2021)

Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function. - Yanchen Deng; Bo An 001 (Auton. Agents Multi Agent Syst., 2021)

Electric vehicle charging strategy study and the application on charging station placement. - Yanhai Xiong; Bo An 001; Sarit Kraus (Auton. Agents Multi Agent Syst., 2021)

L2E: Learning to Exploit Your Opponent. - Zhe Wu; Kai Li 022; Enmin Zhao; Hang Xu 006; Meng Zhang; Haobo Fu; Bo An 001; Junliang Xing (CoRR, 2021)

On the Robustness of Average Losses for Partial-Label Learning. - Jiaqi Lv; Lei Feng 006; Miao Xu 001; Bo An 001; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (CoRR, 2021)

Multi-Class Classification from Single-Class Data with Confidences. - Yuzhou Cao; Lei Feng 006; Senlin Shu; Yitian Xu; Bo An 001; Gang Niu 001; Masashi Sugiyama (CoRR, 2021)

Cooperation, Retaliation and Forgiveness in Revision Games. - Dong Hao; Qi Shi 003; Jinyan Su; Bo An 001 (CoRR, 2021)

Orientational variable-length strip covering problem: A branch-and-price-based algorithm. - Xiaoxuan Hu; Waiming Zhu; Huawei Ma; Bo An 001; Yanling Zhi; Yi Wu (Eur. J. Oper. Res., 2021)

Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. - Lei Feng 006; Hongxin Wei; Qingyu Guo; Zhuoyi Lin; Bo An 001 (IEEE Intell. Syst., 2021)

Toward Efficient City-Scale Patrol Planning Using Decomposition and Grafting. - Wanyuan Wang; Zichen Dong; Bo An 001; Yichuan Jiang (IEEE Trans. Intell. Transp. Syst., 2021)

Group-Oriented Task Allocation for Crowdsourcing in Social Networks. - Jiuchuan Jiang; Bo An 001; Yichuan Jiang; Chenyan Zhang; Zhan Bu; Jie Cao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Pretrained Cost Model for Distributed Constraint Optimization Problems. - Yanchen Deng; Shufeng Kong; Bo An 001 (AAAI, 2022)

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. - Renchunzi Xie; Hongxin Wei; Lei Feng 006; Bo An 001 (AAAI, 2022)

NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. - Wanqi Xue; Bo An 001; Chai Kiat Yeo (AAAI, 2022)

Online Collective Multiagent Planning by Offline Policy Reuse with Applications to City-Scale Mobility-on-Demand Systems. - Wanyuan Wang; Gerong Wu; Weiwei Wu 001; Yichuan Jiang; Bo An 001 (AAMAS, 2022)

Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. - Wanqi Xue; Wei Qiu 001; Bo An 001; Zinovi Rabinovich; Svetlana Obraztsova; Chai Kiat Yeo (AAMAS, 2022)

Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. - Junning Liu; Xinjian Li; Bo An 001; Zijie Xia; Xu Wang (CIKM, 2022)

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 001 (CIKM, 2022)

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 Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas. - Tu Gu; Bo An 001 (DAI, 2022)

Online Ad Hoc Teamwork under Partial Observability. - Pengjie Gu; Mengchen Zhao; Jianye Hao; Bo An 001 (ICLR, 2022)

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. - Pengjie Gu; Mengchen Zhao; Chen Chen 077; Dong Li 016; Jianye Hao; Bo An 001 (ICML, 2022)

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. - Hongxin Wei; Lue Tao; Renchunzi Xie; Lei Feng 006; Bo An 001 (ICML, 2022)

Mitigating Neural Network Overconfidence with Logit Normalization. - Hongxin Wei; Renchunzi Xie; Hao Cheng 014; Lei Feng 006; Bo An 001; Yixuan Li 001 (ICML, 2022)

Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games. - Youzhi Zhang 001; Bo An 001; V. S. Subrahmanian (IJCAI, 2022)

L2E: Learning to Exploit Your Opponent. - Zhe Wu; Kai Li 022; Hang Xu 006; Yifan Zang 001; Bo An 001; Junliang Xing (IJCNN, 2022)

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. - Yuzhou Cao; Tianchi Cai; Lei Feng 006; Lihong Gu; Jinjie Gu; Bo An 001; Gang Niu 001; Masashi Sugiyama (NeurIPS, 2022)

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. - Yanchen Deng; Shufeng Kong; Caihua Liu; Bo An 001 (NeurIPS, 2022)

Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. - Yewen Li; Chaojie Wang 001; Zhibin Duan; Dongsheng Wang 003; Bo Chen 001; Bo An 001; Mingyuan Zhou (NeurIPS, 2022)

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE. - Yewen Li; Chaojie Wang 001; Xiaobo Xia; Tongliang Liu; Xin Miao; Bo An 001 (NeurIPS, 2022)

Quantal Correlated Equilibrium in Normal Form Games. - Jakub Cerný; Bo An 001; Allan N. Zhang (EC, 2022)

DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding. - Shuo Sun; Rundong Wang; Xu He; Junlei Zhu; Jian Li; Bo An 001 (CoRR, 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)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; 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)

Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach. - Shuo Sun; Rundong Wang; Bo An 001 (CoRR, 2022)

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. - Wei Qiu 001; Xiao Ma 006; Bo An 001; Svetlana Obraztsova; Shuicheng Yan; Zhongwen Xu (CoRR, 2022)

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Bo An 001 (CoRR, 2022)

Logit Clipping for Robust Learning against Label Noise. - Hongxin Wei; Huiping Zhuang; Renchunzi Xie; Lei Feng 006; Gang Niu 001; Bo An 001; Yixuan Li 001 (CoRR, 2022)

Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. - Bo An 001; Shuo Sun; Rundong Wang (IEEE Intell. Syst., 2022)

Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. - Aye Phyu Phyu Aung; Senthilnath Jayavelu; Xiaoli Li 001; Bo An 001 (Neurocomputing, 2022)

Regularized Matrix Factorization for Multilabel Learning With Missing Labels. - Lei Feng 006; Jun Huang 003; Senlin Shu; Bo An 001 (IEEE Trans. Cybern., 2022)

SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. - Zhuowei Wang 003; Jing Jiang 002; Bo Han 003; Lei Feng 006; Bo An 001; Gang Niu 001; Guodong Long (Trans. Mach. Learn. Res., 2022)

Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets. - Jiuchuan Jiang; Kai Di; Bo An 001; Yichuan Jiang; Zhan Bu; Jie Cao 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Partial-Label Regression. - Xin Cheng 007; Deng-Bao Wang; Lei Feng 006; Min-Ling Zhang; Bo An 001 (AAAI, 2023)

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)

An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. - Linjian Meng; Zhenxing Ge; Pinzhuo Tian; Bo An 001; Yang Gao 001 (AAAI, 2023)

Consistent Complementary-Label Learning via Order-Preserving Losses. - Shuqi Liu 002; Yuzhou Cao; Qiaozhen Zhang; Lei Feng 006; Bo An 001 (AISTATS, 2023)

Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans. - Youzhi Zhang 001; Bo An 001; V. S. Subrahmanian (AAMAS, 2023)

A Learning Approach to Complex Contagion Influence Maximization. - Haipeng Chen 001; Bryan Wilder; Wei Qiu 001; Bo An 001; Eric Rice; Milind Tambe (AAMAS, 2023)

Off-Beat Multi-Agent Reinforcement Learning. - Wei Qiu 001; Weixun Wang; Rundong Wang; Bo An 001; Yujing Hu; Svetlana Obraztsova; Zinovi Rabinovich; Jianye Hao; Yingfeng Chen; Changjie Fan (AAMAS, 2023)

Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning. - Qian Che; Wanyuan Wang; Fengchen Wang; Tianchi Qiao; Xiang Liu; Jiuchuan Jiang; Bo An 001; Yichuan Jiang (AAMAS, 2023)

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. - Wei Qiu 001; Xiao Ma 006; Bo An 001; Svetlana Obraztsova; Shuicheng Yan; Zhongwen Xu (ICLR, 2023)

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

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (ICLR, 2023)

Weakly Supervised Regression with Interval Targets. - Xin Cheng 007; Yuzhou Cao; Ximing Li 002; Bo An 001; Lei Feng 006 (ICML, 2023)

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. - Hongxin Wei; Huiping Zhuang; Renchunzi Xie; Lei Feng 006; Gang Niu 001; Bo An 001; Yixuan Li 001 (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 001; Gang Pan 001 (ICML, 2023)

Complex Contagion Influence Maximization: A Reinforcement Learning Approach. - Haipeng Chen 001; Bryan Wilder; Wei Qiu 001; Bo An 001; Eric Rice; Milind Tambe (IJCAI, 2023)

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. - Hao Cheng 014; Shufeng Kong; Yanchen Deng; Caihua Liu; Xiaohu Wu; Bo An 001; Chongjun Wang (IJCAI, 2023)

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

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (KDD, 2023)

Computing Optimal Nash Equilibria in Multiplayer Games. - Youzhi Zhang 001; Bo An 001; Venkatramanan Siva Subrahmanian (NeurIPS, 2023)

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. - Yuzhou Cao; Hussein Mozannar; Lei Feng 006; Hongxin Wei; Bo An 001 (NeurIPS, 2023)

Regression with Cost-based Rejection. - Xin Cheng 007; Yuzhou Cao; Haobo Wang 001; Hongxin Wei; Bo An 001; Lei Feng 006 (NeurIPS, 2023)

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. - Zhibin Duan; Zhiyi Lv; Chaojie Wang 001; Bo Chen 001; Bo An 001; Mingyuan Zhou (NeurIPS, 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)

On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. - Renchunzi Xie; Hongxin Wei; Lei Feng 006; Yuzhou Cao; Bo An 001 (NeurIPS, 2023)

State Regularized Policy Optimization on Data with Dynamics Shift. - Zhenghai Xue; Qingpeng Cai 001; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (NeurIPS, 2023)

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. - Rundong Wang; Longtao Zheng; Wei Qiu 001; Bowei He; Bo An 001; Zinovi Rabinovich; Yujing Hu; Yingfeng Chen; Tangjie Lv; Changjie Fan (CoRR, 2023)

Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control. - Longtao Zheng; Rundong Wang; Bo An 001 (CoRR, 2023)

Efficient Last-iterate Convergence Algorithms in Solving Games. - Linjian Meng; Zhenxing Ge; Wenbin Li 006; Bo An 001; Yang Gao 001 (CoRR, 2023)

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. - Zhenghai Xue; Qingpeng Cai 001; Tianyou Zuo; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (CoRR, 2023)

Effective Interpretable Policy Distillation via Critical Experience Point Identification. - Xiao Liu; Shuyang Liu; Bo An 001; Yang Gao 001; Shangdong Yang; Wenbin Li 006 (IEEE Intell. Syst., 2023)

Reinforcement Learning for Quantitative Trading. - Shuo Sun; Rundong Wang; Bo An 001 (ACM Trans. Intell. Syst. Technol., 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)

Multi-agent dueling Q-learning with mean field and value decomposition. - Shifei Ding; Wei Du 010; Ling Ding 001; Lili Guo; Jian Zhang 019; Bo An 001 (Pattern Recognit., 2023)

Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. - Shijie Han; Siyuan Li 003; Bo An 001; Wei Zhao 008; Peng Liu 008 (Auton. Agents Multi Agent Syst., 2023)

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. - Lei Feng 006; Senlin Shu; Yuzhou Cao; Lue Tao; Hongxin Wei; Tao Xiang 001; Bo An 001; Gang Niu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Deep Learning From Multiple Noisy Annotators as A Union. - Hongxin Wei; Renchunzi Xie; Lei Feng 006; Bo Han 003; Bo An 001 (IEEE Trans. Neural Networks Learn. Syst., 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)

Consistent Hierarchical Classification with A Generalized Metric. - Yuzhou Cao; Lei Feng 006; Bo An 001 (AISTATS, 2024)

Mitigating Underfitting in Learning to Defer with Consistent Losses. - Shuqi Liu 002; Yuzhou Cao; Qiaozhen Zhang; Lei Feng 006; Bo An 001 (AISTATS, 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)

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (AAMAS, 2024)

Improving Unsupervised Hierarchical Representation With Reinforcement Learning. - Ruyi An; Yewen Li; Xu He; Pengjie Gu; Mengchen Zhao; Dong Li 016; Jianye Hao; Chaojie Wang 001; Bo An 001; Mingyuan Zhou (CVPR, 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)

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. - Safa Messaoud; Billel Mokeddem; Zhenghai Xue; Linsey Pang; Bo An 001; Haipeng Chen 001; Sanjay Chawla (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)

Consistent Multi-Class Classification from Multiple Unlabeled Datasets. - Zixi Wei; Senlin Shu; Yuzhou Cao; Hongxin Wei; Bo An 001; Lei Feng 006 (ICLR, 2024)

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

On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. - Shengjie Zhou; Lue Tao; Yuzhou Cao; Tao Xiang 001; Bo An 001; Lei Feng 006 (ICLR, 2024)

DAG-Based Column Generation for Adversarial Team Games. - Youzhi Zhang 001; Bo An 001; Daniel Dajun Zeng (ICML, 2024)

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. - Lang Feng 002; Pengjie Gu; Bo An 001; Gang Pan 001 (ICML, 2024)

Safe and Robust Subgame Exploitation in Imperfect Information Games. - Zhenxing Ge; Zheng Xu; Tianyu Ding; Linjian Meng; Bo An 001; Wenbin Li 006; Yang Gao 001 (ICML, 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)

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. - Zitao Song; Chao Yang; Chaojie Wang 001; Bo An 001; Shuang Li 002 (ICML, 2024)

PoRank: A Practical Framework for Learning to Rank Policies. - Pengjie Gu; Mengchen Zhao; Xu He; Yi Cai; Bo An 001 (IJCAI, 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)

IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. - Hui Niu; Siyuan Li 003; Jiahao Zheng 002; Zhouchi Lin; Bo An 001; Jian Li; Jian Guo (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)

Reinforcement Learning from Diverse Human Preferences. - Wanqi Xue; Bo An 001; Shuicheng Yan; Zhongwen Xu (IJCAI, 2024)

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (IJCAI, 2024)

Scheduling Generative-AI Job DAGs with Model Serving in Data Centers. - Ying Zheng; Lei Jiao 002; Yuedong Xu 001; Bo An 001; Xin Wang 003; Zongpeng Li (IWQoS, 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)

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Weijian Deng; Jianfeng Zhang; Bo An 001 (NeurIPS, 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)

Deep reinforcement learning for multi-objective game strategy selection. - Ruhao Jiang; Yanchen Deng; Yingying Chen; He Luo; Bo An 001 (Comput. Oper. Res., 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)

Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Ievgen Redko; Jianfeng Zhang; Bo An 001 (CoRR, 2024)

Debiased Sample Selection for Combating Noisy Labels. - Qi Wei 004; Lei Feng 006; Haobo Wang 001; 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)

Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. - Naming Liu; Mingzhi Wang; Youzhi Zhang 001; Yaodong Yang 001; Bo An 001; Ying Wen 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)

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. - Safa Messaoud; Billel Mokeddem; Zhenghai Xue; Linsey Pang; Bo An 001; Haipeng Chen 001; Sanjay Chawla (CoRR, 2024)

Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. - Chaojie Wang 001; Yanchen Deng; Zhiyi Lv; Zeng Liang; Jujie He; Shuicheng Yan; Bo An 001 (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)

Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games. - Naming Liu; Mingzhi Wang; Xihuai Wang; Weinan Zhang 001; Yaodong Yang 001; Youzhi Zhang 001; Bo An 001; Ying Wen 001 (CoRR, 2024)

Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head. - Penghui Yang 001; Chen-Chen Zong; Sheng-Jun Huang; Lei Feng 006; Bo An 001 (CoRR, 2024)

Mars-PO: Multi-Agent Reasoning System Preference Optimization. - Xiaoxuan Lou; Chaojie Wang 001; Bo An 001 (CoRR, 2024)

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation. - Longtao Zheng; Yifan Zhang 004; Hanzhong Guo; Jiachun Pan; Zhenxiong Tan; Jiahao Lu; Chuanxin Tang; Bo An 001; Shuicheng Yan (CoRR, 2024)

Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. - Shaokang Dong; Chao Li; Shangdong Yang; Bo An 001; Wenbin Li 006; Yang Gao 001 (Neural Networks, 2024)

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. - Shifei Ding; Wei Du 010; Ling Ding 001; Jian Zhang 019; Lili Guo; Bo An 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

On the Robustness of Average Losses for Partial-Label Learning. - Jiaqi Lv; Biao Liu; Lei Feng 006; Ning Xu 009; Miao Xu 001; Bo An 001; Gang Niu 001; Xin Geng 001; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Offline policy reuse-guided anytime online collective multiagent planning and its application to mobility-on-demand systems. - Wanyuan Wang; Qian Che; Yifeng Zhou; Weiwei Wu 001; Bo An 001; Yichuan Jiang (Auton. Agents Multi Agent Syst., 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)

Online binary classification from similar and dissimilar data. - Senlin Shu; Haobo Wang 001; Zhuowei Wang 003; Bo Han 003; Tao Xiang 001; Bo An 001; Lei Feng 006 (Mach. Learn., 2024)

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. - Qi Wei 004; Shuo He 001; Jiahan Zhang; Lei Feng 006; Bo An 001 (AAAI, 2025)

Removing Prompt-template Bias in Reinforcement Learning from Human Feedback. - Chaojie Wang 001; Haonan Shi; Long Tian; Bo An 001; Shuicheng Yan (ACL (Findings), 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 001 (CVPR, 2025)

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. - Yi-Chen Li 001; Fuxiang Zhang; Wenjie Qiu 005; Lei Yuan 005; Chengxing Jia; Zongzhang Zhang; Yang Yu 001; Bo An 001 (ICLR, 2025)

Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy. - Zhenghai Xue; Bo An 001; Shuicheng Yan (ICLR, 2025)

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

Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL. - Sheng Zang; Zhiguang Cao; Bo An 001; Senthilnath Jayavelu; Xiaoli Li 001 (AAMAS, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 008; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Kun Gai; Bo An 001; Xiangyu Zhao 001 (SIGIR, 2025)

GAS: Generative Auto-bidding with Post-training Search. - Yewen Li; Shuai Mao; Jingtong Gao; Nan Jiang 023; Yunjian Xu; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Bo An 001 (WWW (Companion Volume), 2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. - Zhenghai Xue; Qingpeng Cai 001; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (WWW, 2025)

Pioneering the Future: Advancing Innovation and Collaboration. - Bo An 001 (IEEE Intell. Syst., 2025)

Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Yuwei Zheng; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Bo An 001; Wenjun Wu 001; Xianglong Liu 001 (Neural Networks, 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)

Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift. - Renchunzi Xie; Ambroise Odonnat; Vasilii Feofanov; Ievgen Redko; Jianfeng Zhang; Bo An 001 (Trans. Mach. Learn. Res., 2025)

Solving Urban Network Security Games: Learning Platform, Benchmark, and Challenge for AI Research. - Shuxin Zhuang; Shuxin Li 001; Tianji Yang; Muheng Li; Xianjie Shi; Bo An 001; Youzhi Zhang 001 (CoRR, 2025)

LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification. - Penghui Yang 001; Cunxiao Du; Fengzhuo Zhang; Haonan Wang; Tianyu Pang; Chao Du; Bo An 001 (CoRR, 2025)

Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning. - Zhenghai Xue; Lang Feng 002; Jiacheng Xu; Kang Kang; Xiang Wen; Bo An 001; Shuicheng Yan (CoRR, 2025)

A Survey on Trustworthy LLM Agents: Threats and Countermeasures. - Miao Yu; Fanci Meng; Xinyun Zhou; Shilong Wang 002; Junyuan Mao; Linsey Pang; Tianlong Chen 001; Kun Wang 056; Xinfeng Li; Yongfeng Zhang; Bo An 001; Qingsong Wen (CoRR, 2025)

From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution. - Zhe Zhao 008; Haibin Wen; Pengkun Wang 001; Ye Wei; Zaixi Zhang; Xi Lin 001; Fei Liu 044; Bo An 001; Hui Xiong 001; Yang Wang 015; Qingfu Zhang 001 (CoRR, 2025)

LLM⨉MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources. - Haoyu Wang; Yujia Fu; Zhu Zhang; Shuo Wang 013; Zirui Ren; Xiaorong Wang; Zhili Li; Chaoqun He; Bo An 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 002; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Kun Gai; Bo An 001; Xiangyu Zhao 001 (CoRR, 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation. - Zhiyuan Hu; Shiyun Xiong; Yifan Zhang 004; See-Kiong Ng; Anh Tuan Luu; Bo An 001; Shuicheng Yan; Bryan Hooi (CoRR, 2025)

MF-LLM: Simulating Collective Decision Dynamics via a Mean-Field Large Language Model Framework. - Qirui Mi; Mengyue Yang; Xiangning Yu 001; Zhiyu Zhao; Cheng Deng; Bo An 001; Haifeng Zhang; Xu Chen; Jun Wang 012 (CoRR, 2025)

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning. - Lang Feng 002; Weihao Tan; Zhiyi Lyu; Longtao Zheng; Haiyang Xu 001; Ming Yan 008; Fei Huang 002; Bo An 001 (CoRR, 2025)

Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses. - Yuzhou Cao; Han Bao; Lei Feng 006; Bo An 001 (CoRR, 2025)

Group-in-Group Policy Optimization for LLM Agent Training. - Lang Feng 002; Zhenghai Xue; Tingcong Liu; Bo An 001 (CoRR, 2025)

Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents. - Weikai Xu; Zhizheng Jiang; Yuxuan Liu 009; Pengzhi Gao; Wei Liu 005; Jian Luan 001; Yuanchun Li; Yunxin Liu 001; Bin Wang 004; Bo An 001 (CoRR, 2025)

Enhance Mobile Agents Thinking Process Via Iterative Preference Learning. - Kun Huang; Weikai Xu; Yuxuan Liu 009; Quandong Wang; Pengzhi Gao; Wei Liu 005; Jian Luan 001; Bin Wang 004; Bo An 001 (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)

Skywork Open Reasoner 1 Technical Report. - Jujie He; Jiacai Liu; Chris Yuhao Liu; Rui Yan; Chaojie Wang 001; Peng Cheng; Xiaoyu Zhang; Fuxiang Zhang; Jiacheng Xu; Wei Shen; Siyuan Li 003; Liang Zeng; et al. (CoRR, 2025)

Incentivizing LLMs to Self-Verify Their Answers. - Fuxiang Zhang; Jiacheng Xu; Chaojie Wang 001; Ce Cui; Yang Liu 084; Bo An 001 (CoRR, 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 001; Jun Wang; Haifeng Zhang (CoRR, 2025)

AgentOrchestra: A Hierarchical Multi-Agent Framework for General-Purpose Task Solving. - Wentao Zhang 007; Ce Cui; Yilei Zhao 001; Rui Hu; Yang Liu 084; Yahui Zhou; Bo An 001 (CoRR, 2025)

A Survey of Continual Reinforcement Learning. - Chaofan Pan; Xin Yang 012; Yanhua Li; Wei Wei 018; Tianrui Li 001; Bo An 001; Jiye Liang (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)

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. - Zhihao Zhang; Siyuan Li 003; Chenxi Li; Feifan Liu; Mengjing Chen; Kai Li 022; Tao Zhong; Bo An 001; Peng Liu 008 (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)

Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. - Siyuan Li 003; Yifan Yu; Yanchen Deng; Zhihao Zhang; Mengjing Chen; Fangzhou Zhu; Tao Zhong 004; Jianye Hao; Peng Liu 008; 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)

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 001 (CoRR, 2025)

Deep Graph Anomaly Detection: A Survey and New Perspectives. - Hezhe Qiao; Hanghang Tong; Bo An 001; Irwin King; Charu Aggarwal 001; Guansong Pang (IEEE Trans. Knowl. Data Eng., 2025)