Bo An - RankMe

489 papers A* 152A 51B 7C 3Misc 1Journal 236Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Tighter Bound for Reward Learning in Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. Guoxi Chen, Xing Chen, Bo An, Ya Zhang
2026	J	`jnl`	AgentOCR: Reimagining Agent History via Optical Self-Compression. CoRR Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu, Zhenglin Wan, Ming Yan, Bo An
2026	J	`jnl`	AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models. CoRR Wentao Zhang, Mingxuan Zhao, Jincheng Gao, Jieshun You, Huaiyu Jia, Yilei Zhao, Bo An, Shuo Sun
2026	A*	`conf`	ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading. AAAI Chuqiao Zong, Molei Qin, Haochong Xia, Bo An
2026	—	`conf`	Bayesian Robust Financial Trading with Adversarial Synthetic Market Data. KDD (1) Haochong Xia, Simin Li, Ruixiao Xu, Zhixia Zhang, Hongxiang Wang, Zhiqian Liu, Teng Yao Long, Molei Qin, Chuqiao Zong, Bo An
2026	J	`jnl`	Bayesian Robust Financial Trading with Adversarial Synthetic Market Data. CoRR Haochong Xia, Simin Li, Ruixiao Xu, Zhixia Zhang, Hongxiang Wang, Zhiqian Liu, Teng Yao Long, Molei Qin, Chuqiao Zong, Bo An
2026	J	`jnl`	CaveAgent: Transforming LLMs into Stateful Runtime Operators. CoRR Maohao Ran, Zhenglin Wan, Cooper Lin, Yanting Zhang, Hongyu Xin, Hongwei Fan, Yibo Xu, Beier Luo, Yaxin Zhou, Wangbo Zhao, Lijie Yang, Lang Feng, Fuchao Yang, Jingxuan Wu, Yiqiao Huang, Chendong Ma, Dailing Jiang, Jianbo Deng, Sihui Han, Bo An, Yike Guo, Jun Song
2026	J	`jnl`	Computing ex ante equilibrium in heterogeneous zero-sum team game. Frontiers Comput. Sci. Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen
2026	J	`jnl`	Conditional Performance Guarantee for Large Reasoning Models. CoRR Jianguo Huang, Hao Zeng, Bingyi Jing, Hongxin Wei, Bo An
2026	J	`jnl`	DEpiABS: Differentiable Epidemic Agent-Based Simulator. CoRR Zhijian Gao, Shuxin Li, Bo An
2026	J	`jnl`	Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems. CoRR Lang Feng, Longtao Zheng, Shuo He, Fuxiang Zhang, Bo An
2026	J	`jnl`	Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation. CoRR Huanyu Li, Kun Lei, Sheng Zang, Kaizhe Hu, Yongyuan Liang, Bo An, Xiaoli Li, Huazhe Xu
2026	—	`conf`	FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment. KDD (1) Wentao Zhang, Yilei Zhao, Chuqiao Zong, Xinrun Wang, Bo An
2026	—	`conf`	FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading. KDD (1) Molei Qin, Xinyu Cai, Yewen Li, Haochong Xia, Chuqiao Zong, Shuo Sun, Xinrun Wang, Bo An
2026	J	`jnl`	From Symbols to Synapses: The Reemergence of Agency in the Large Language Model Era. IEEE Intell. Syst. Bo An
2026	A*	`conf`	GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization. AAAI Yanchen Deng, Xinrun Wang, Bo An
2026	J	`jnl`	Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects. IEEE Intell. Syst. Yixin Liu, Guibin Zhang, Kun Wang, Shiyuan Li, Shirui Pan, Bo An
2026	J	`jnl`	Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping. CoRR Jianxiong Zhang, Bing Guo, Yuming Jiang, Haobo Wang, Bo An, Xuefeng Du
2026	J	`jnl`	Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation. CoRR Siyuan Li, Jiani Lu, Yu Song, Xianren Li, Bo An, Peng Liu
2026	J	`jnl`	Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks. CoRR Shuo He, Lang Feng, Qi Wei, Xin Cheng, Lei Feng, Bo An
2026	J	`jnl`	History Is Not Enough: An Adaptive Dataflow System for Financial Time-Series Synthesis. CoRR Haochong Xia, Teng Yao Long, Regan Tan, Molei Qin, Xinrun Wang, Bo An
2026	A*	`conf`	LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting. WWW Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai, Fei Pan, Bo An
2026	J	`jnl`	LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting. CoRR Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai, Fei Pan, Bo An
2026	J	`jnl`	MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation. Trans. Mach. Learn. Res. Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, Shuicheng Yan
2026	J	`jnl`	Online Causal Kalman Filtering for Stable and Effective Policy Optimization. CoRR Shuo He, Lang Feng, Xin Cheng, Lei Feng, Bo An
2026	J	`jnl`	Shapley Meets DCOP: A Unified Structural Credit Assignment for Multiagent Planning and Multiagent Reinforcement Learning. IEEE Trans Autom. Sci. Eng. Wanyuan Wang, Qian Che, Chunyu Liu, Youzhi Zhang, Jiuchuan Jiang, Bo An
2026	J	`jnl`	Task-Aware Exploration via a Predictive Bisimulation Metric. CoRR Dayang Liang, Ruihan Liu, Lipeng Wan, Yunlong Liu, Bo An
2026	J	`jnl`	Top 10 Most Influential Papers in Artificial Intelligence Since 2000. IEEE Intell. Syst. Bo An, Sarit Kraus, Michael J. Wooldridge
2026	J	`jnl`	Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Xing Chen, Yewen Li, Xiaofeng Cao, Hechang Chen, Hengshuai Yao, Bo An, Yi Chang
2026	J	`jnl`	When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer. CoRR Shuqi Liu, Yuzhou Cao, Lei Feng, Bo An, Luke Ong
2025	A*	`conf`	A Closer Look at Backdoor Attacks on CLIP. ICML Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025	J	`jnl`	A Survey of Continual Reinforcement Learning. CoRR Chaofan Pan, Xin Yang, Yanhua Li, Wei Wei, Tianrui Li, Bo An, Jiye Liang
2025	—	`conf`	A Survey on Trustworthy LLM Agents: Threats and Countermeasures. KDD (2) 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	J	`jnl`	A Survey on Trustworthy LLM Agents: Threats and Countermeasures. CoRR 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	A*	`conf`	AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. WWW Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
2025	J	`jnl`	AgentOrchestra: A Hierarchical Multi-Agent Framework for General-Purpose Task Solving. CoRR Wentao Zhang, Ce Cui, Yilei Zhao, Rui Hu, Yang Liu, Yahui Zhou, Bo An
2025	A*	`conf`	AgentStudio: A Toolkit for Building General Virtual Agents. ICLR Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
2025	J	`jnl`	Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. Neural Networks Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Bo An, Wenjun Wu, Xianglong Liu
2025	J	`jnl`	AutoMAT: A Hierarchical Framework for Autonomous Alloy Discovery. CoRR Penghui Yang, Chendong Zhao, Bijun Tang, Zhonghan Zhang, Xinrun Wang, Yanchen Deng, Yuhao Lu, Cuntai Guan, Zheng Liu, Bo An
2025	J	`jnl`	C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs. CoRR Xuan Feng, Bo An, Tianlong Gu, Liang Chang, Fengrui Hao, Peipeng Yu, Shuai Zhao
2025	J	`jnl`	Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. CoRR Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An
2025	A*	`conf`	Cradle: Empowering Foundation Agents towards General Computer Control. ICML Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu
2025	J	`jnl`	DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. CoRR Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu
2025	J	`jnl`	Deep Graph Anomaly Detection: A Survey and New Perspectives. IEEE Trans. Knowl. Data Eng. Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang
2025	J	`jnl`	Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. IEEE Trans. Image Process. Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath
2025	—	`conf`	Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head. KDD (2) Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2025	J	`jnl`	EconGym: A Scalable AI Testbed with Diverse Economic Tasks. CoRR Qirui Mi, Qipeng Yang, Zijun Fan, Wentian Fan, Heyang Ma, Chengdong Ma, Siyu Xia, Bo An, Jun Wang, Haifeng Zhang
2025	—	`conf`	Efficient Decision Sequence Modeling via Feature-LevelMasking. DAI Xinzhi Zhang, Yifan Gao, Yaqing Hou, Xuechuan Liu, Zengyang Wang, Yi Cai, Bo An, Mengchen Zhao
2025	J	`jnl`	Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning. CoRR 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
2025	J	`jnl`	Enhance Mobile Agents Thinking Process Via Iterative Preference Learning. CoRR Kun Huang, Weikai Xu, Yuxuan Liu, Quandong Wang, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang, Bo An
2025	A	`conf`	Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL. AAMAS Sheng Zang, Zhiguang Cao, Bo An, Senthilnath Jayavelu, Xiaoli Li
2025	J	`jnl`	Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses. CoRR Yuzhou Cao, Han Bao, Lei Feng, Bo An
2025	J	`jnl`	FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning. CoRR Zhenglin Wan, Jingxuan Wu, Xingrui Yu, Chubin Zhang, Mingcong Lei, Bo An, Ivor W. Tsang
2025	J	`jnl`	FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment. CoRR Wentao Zhang, Yilei Zhao, Chuqiao Zong, Xinrun Wang, Bo An
2025	J	`jnl`	FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading. CoRR Molei Qin, Xinyu Cai, Yewen Li, Haochong Xia, Chuqiao Zong, Shuo Sun, Xinrun Wang, Bo An
2025	J	`jnl`	From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution. CoRR Zhe Zhao, Haibin Wen, Pengkun Wang, Ye Wei, Zaixi Zhang, Xi Lin, Fei Liu, Bo An, Hui Xiong, Yang Wang, Qingfu Zhang
2025	—	`conf`	GAS: Generative Auto-bidding with Post-training Search. WWW (Companion Volume) Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An
2025	J	`jnl`	GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization. CoRR Yanchen Deng, Xinrun Wang, Bo An
2025	J	`jnl`	Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner. CoRR Yewen Li, Jingtong Gao, Nan Jiang, Shuai Mao, Ruyi An, Fei Pan, Xiangyu Zhao, Bo An, Qingpeng Cai, Peng Jiang
2025	A*	`conf`	Generative Auto-Bidding with Value-Guided Explorations. SIGIR Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao
2025	J	`jnl`	Generative Auto-Bidding with Value-Guided Explorations. CoRR Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Kun Gai, Bo An, Xiangyu Zhao
2025	J	`jnl`	GoRL: An Algorithm-Agnostic Framework for Online Reinforcement Learning with Generative Policies. CoRR Chubin Zhang, Zhenglin Wan, Feng Chen, Xingrui Yu, Ivor W. Tsang, Bo An
2025	J	`jnl`	Group-in-Group Policy Optimization for LLM Agent Training. CoRR Lang Feng, Zhenghai Xue, Tingcong Liu, Bo An
2025	J	`jnl`	Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation. CoRR Zhiyuan Hu, Shiyun Xiong, Yifan Zhang, See-Kiong Ng, Anh Tuan Luu, Bo An, Shuicheng Yan, Bryan Hooi
2025	J	`jnl`	Incentivizing LLMs to Self-Verify Their Answers. CoRR Fuxiang Zhang, Jiacheng Xu, Chaojie Wang, Ce Cui, Yang Liu, Bo An
2025	A*	`conf`	Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. AAAI Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An
2025	J	`jnl`	LLM⨉MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources. CoRR Haoyu Wang, Yujia Fu, Zhu Zhang, Shuo Wang, Zirui Ren, Xiaorong Wang, Zhili Li, Chaoqun He, Bo An, Zhiyuan Liu, Maosong Sun
2025	J	`jnl`	Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs. CoRR Zhiyi Lyu, Jianguo Huang, Yanchen Deng, Steven Hoi, Bo An
2025	J	`jnl`	Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift. Trans. Mach. Learn. Res. Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2025	J	`jnl`	LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification. CoRR Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An
2025	J	`jnl`	Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds. CoRR Weihao Tan, Xiangyang Li, Yunhao Fang, Heyuan Yao, Shi Yan, Hao Luo, Tenglong Ao, Huihui Li, Hongbin Ren, Bairen Yi, Yujia Qin, Bo An, Libin Liu, Guang Shi
2025	J	`jnl`	MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. CoRR Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen
2025	J	`jnl`	MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys. CoRR Yanchen Deng, Chendong Zhao, Yixuan Li, Bijun Tang, Xinrun Wang, Zhonghan Zhang, Yuhao Lu, Penghui Yang, Jianguo Huang, Yushan Xiao, Cuntai Guan, Zheng Liu, Bo An
2025	J	`jnl`	MF-LLM: Simulating Collective Decision Dynamics via a Mean-Field Large Language Model Framework. CoRR Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang
2025	J	`jnl`	Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents. CoRR Weikai Xu, Zhizheng Jiang, Yuxuan Liu, Pengzhi Gao, Wei Liu, Jian Luan, Yuanchun Li, Yunxin Liu, Bin Wang, Bo An
2025	J	`jnl`	Multiagent Reinforcement Learning With Graphical Mutual Information Maximization. IEEE Trans. Neural Networks Learn. Syst. Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
2025	J	`jnl`	OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching. CoRR Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Bo An, Ivor W. Tsang
2025	A*	`conf`	OpticalNet: An Optical Imaging Dataset and Benchmark Beyond the Diffraction Limit. CVPR Benquan Wang, Ruyi An, Jin-Kyu So, Sergei Kurdiumov, Eng Aik Chan, Giorgio Adamo, Yuhan Peng, Yewen Li, Bo An
2025	J	`jnl`	PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning. CoRR Hao Zeng, Jianguo Huang, Bingyi Jing, Hongxin Wei, Bo An
2025	J	`jnl`	Pioneering the Future: Advancing Innovation and Collaboration. IEEE Intell. Syst. Bo An
2025	A*	`conf`	Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy. ICLR Zhenghai Xue, Bo An, Shuicheng Yan
2025	A*	`conf`	Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning. ICML Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan
2025	J	`jnl`	Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning. CoRR Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan
2025	A*	`conf`	Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. ICLR Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An
2025	—	`conf`	Removing Prompt-template Bias in Reinforcement Learning from Human Feedback. ACL (Findings) Chaojie Wang, Haonan Shi, Long Tian, Bo An, Shuicheng Yan
2025	A*	`conf`	Representation Surgery in Model Merging with Probabilistic Modeling. ICML Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An
2025	J	`jnl`	Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. IEEE Trans. Neural Networks Learn. Syst. Simin Li, Ruixiao Xu, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Yuqing Ma, Bo An, Yaodong Yang, Xianglong Liu
2025	J	`jnl`	SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning. CoRR Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Xiaosen Zheng, Zejun Ma, Bo An
2025	J	`jnl`	Skywork Open Reasoner 1 Technical Report. CoRR Jujie He, Jiacai Liu, Chris Yuhao Liu, Rui Yan, Chaojie Wang, Peng Cheng, Xiaoyu Zhang, Fuxiang Zhang, Jiacheng Xu, Wei Shen, Siyuan Li, Liang Zeng, Tianwen Wei, Cheng Cheng, Bo An, Yang Liu, Yahui Zhou
2025	J	`jnl`	Solving Urban Network Security Games: Learning Platform, Benchmark, and Challenge for AI Research. CoRR Shuxin Zhuang, Shuxin Li, Tianji Yang, Muheng Li, Xianjie Shi, Bo An, Youzhi Zhang
2025	J	`jnl`	StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley. CoRR Weihao Tan, Changjiu Jiang, Yu Duan, Mingcong Lei, Jiageng Li, Yitian Hong, Xinrun Wang, Bo An
2025	A*	`conf`	Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning. ICML Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An
2025	J	`jnl`	Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning. CoRR Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An
2025	J	`jnl`	Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning. CoRR Simin Li, Yuwei Zheng, Zihao Mao, Linhao Wang, Ruixiao Xu, Chengdong Ma, Xin Yu, Yuqing Ma, Qi Dou, Xin Wang, Jie Luo, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
2024	A*	`conf`	A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. KDD Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An
2024	J	`jnl`	A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. CoRR Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An
2024	J	`jnl`	AgentStudio: A Toolkit for Building General Virtual Agents. CoRR Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
2024	J	`jnl`	Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. CoRR Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
2024	J	`jnl`	Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games. CoRR Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen
2024	A*	`conf`	Configurable Mirror Descent: Towards a Unification of Decision Making. ICML Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Configurable Mirror Descent: Towards a Unification of Decision Making. CoRR Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
2024	A	`conf`	Consistent Hierarchical Classification with A Generalized Metric. AISTATS Yuzhou Cao, Lei Feng, Bo An
2024	A*	`conf`	Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
2024	A*	`conf`	DAG-Based Column Generation for Adversarial Team Games. ICML Youzhi Zhang, Bo An, Daniel Dajun Zeng
2024	J	`jnl`	Debiased Sample Selection for Combating Noisy Labels. CoRR Qi Wei, Lei Feng, Haobo Wang, Bo An
2024	J	`jnl`	Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang
2024	J	`jnl`	Deep reinforcement learning for multi-objective game strategy selection. Comput. Oper. Res. Ruhao Jiang, Yanchen Deng, Yingying Chen, He Luo, Bo An
2024	J	`jnl`	Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. CoRR Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath
2024	J	`jnl`	Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head. CoRR Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2024	A*	`conf`	EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. AAAI Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An
2024	J	`jnl`	Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao
2024	J	`jnl`	GAS: Generative Auto-bidding with Post-training Search. CoRR Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An
2024	A	`conf`	Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. AAMAS Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
2024	J	`jnl`	Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. CoRR Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An
2024	A*	`conf`	IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. IJCAI Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo
2024	A*	`conf`	Improving Unsupervised Hierarchical Representation With Reinforcement Learning. CVPR Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou
2024	J	`jnl`	In-Context Exploiter for Extensive-Form Games. CoRR Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024	A*	`conf`	Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. ICML Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li
2024	J	`jnl`	Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. CoRR Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li
2024	J	`jnl`	Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. CoRR Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen
2024	J	`jnl`	MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. CoRR Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024	J	`jnl`	MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation. CoRR Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, Shuicheng Yan
2024	A*	`conf`	MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. NeurIPS Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
2024	A*	`conf`	MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. KDD Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
2024	J	`jnl`	MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. CoRR Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
2024	A*	`conf`	Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. AAAI Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
2024	J	`jnl`	Mars-PO: Multi-Agent Reasoning System Preference Optimization. CoRR Xiaoxuan Lou, Chaojie Wang, Bo An
2024	A	`conf`	Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
2024	—	`conf`	Multi-agent Multi-game Entity Transformer: Towards Generalist Models in MARL. DAI Rundong Wang, Weixuan Wang, Xianhan Zeng, Liang Wang, Zhengjie Liang, Yiming Gao, Feiyu Liu, Siqin Li, Xianliang Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Longtao Zheng, Zinovi Rabinovich, Bo An
2024	J	`jnl`	Offline policy reuse-guided anytime online collective multiagent planning and its application to mobility-on-demand systems. Auton. Agents Multi Agent Syst. Wanyuan Wang, Qian Che, Yifeng Zhou, Weiwei Wu, Bo An, Yichuan Jiang
2024	J	`jnl`	On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2024	A*	`conf`	On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
2024	J	`jnl`	Online binary classification from similar and dissimilar data. Mach. Learn. Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
2024	A*	`conf`	PoRank: A Practical Framework for Learning to Rank Policies. IJCAI Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An
2024	J	`jnl`	Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. CoRR Chaojie Wang, Yanchen Deng, Zhiyi Lv, Zeng Liang, Jujie He, Shuicheng Yan, Bo An
2024	A*	`conf`	Reinforcement Learning from Diverse Human Preferences. IJCAI Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
2024	A*	`conf`	Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. WWW Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An
2024	A	`conf`	Reinforcement Nash Equilibrium Solver. AAMAS Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024	A*	`conf`	Reinforcement Nash Equilibrium Solver. IJCAI Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Reinforcement Nash Equilibrium Solver. CoRR Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024	A*	`conf`	Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. ICML Lang Feng, Pengjie Gu, Bo An, Gang Pan
2024	J	`jnl`	Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. CoRR Lang Feng, Pengjie Gu, Bo An, Gang Pan
2024	J	`jnl`	Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. CoRR Yewen Li, Chaojie Wang, Xiaobo Xia, Xu He, Ruyi An, Dong Li, Tongliang Liu, Bo An, Xinrun Wang
2024	J	`jnl`	Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An
2024	J	`jnl`	S CoRR Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024	A*	`conf`	S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024	A*	`conf`	Safe and Robust Subgame Exploitation in Imperfect Information Games. ICML Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao
2024	B	`conf`	Scheduling Generative-AI Job DAGs with Model Serving in Data Centers. IWQoS Ying Zheng, Lei Jiao, Yuedong Xu, Bo An, Xin Wang, Zongpeng Li
2024	A*	`conf`	Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. IJCAI Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024	J	`jnl`	Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. CoRR Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024	A*	`conf`	Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
2024	A*	`conf`	Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An
2024	J	`jnl`	TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. Int. J. Artif. Intell. Robotics Res. Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	J	`jnl`	Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu
2024	A*	`conf`	Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An
2024	J	`jnl`	True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. CoRR Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	A*	`conf`	True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. ICLR Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	J	`jnl`	keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. CoRR Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An
2024	A*	`conf`	vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. IJCAI Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024	J	`jnl`	vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024	A	`conf`	vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2023	A	`conf`	A Learning Approach to Complex Contagion Influence Maximization. AAMAS Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
2023	J	`jnl`	AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. CoRR Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
2023	A*	`conf`	An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. AAAI Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao
2023	J	`jnl`	Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu
2023	A*	`conf`	Complex Contagion Influence Maximization: A Reinforcement Learning Approach. IJCAI Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
2023	A*	`conf`	Computing Optimal Nash Equilibria in Multiplayer Games. NeurIPS Youzhi Zhang, Bo An, Venkatramanan Siva Subrahmanian
2023	A	`conf`	Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An
2023	A*	`conf`	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. ICML Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
2023	J	`jnl`	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. CoRR Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
2023	J	`jnl`	Deep Learning From Multiple Noisy Annotators as A Union. IEEE Trans. Neural Networks Learn. Syst. Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An
2023	J	`jnl`	Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intell. Syst. Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li
2023	J	`jnl`	Efficient Last-iterate Convergence Algorithms in Solving Games. CoRR Linjian Meng, Zhenxing Ge, Wenbin Li, Bo An, Yang Gao
2023	A*	`conf`	Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
2023	J	`jnl`	Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
2023	A*	`conf`	Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. NeurIPS Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou
2023	A	`conf`	Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans. AAMAS Youzhi Zhang, Bo An, V. S. Subrahmanian
2023	J	`jnl`	IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. CoRR Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Bo An
2023	A*	`conf`	In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
2023	J	`jnl`	In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
2023	J	`jnl`	Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. CoRR Haochong Xia, Shuo Sun, Xinrun Wang, Bo An
2023	A*	`conf`	Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. KDD Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An
2023	A*	`conf`	Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. ICML Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2023	J	`jnl`	Multi-agent dueling Q-learning with mean field and value decomposition. Pattern Recognit. Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An
2023	J	`jnl`	Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2023	A	`conf`	Off-Beat Multi-Agent Reinforcement Learning. AAMAS Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2023	A*	`conf`	Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. NeurIPS Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An
2023	A*	`conf`	On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
2023	J	`jnl`	On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An
2023	J	`jnl`	PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. CoRR Shuo Sun, Molei Qin, Xinrun Wang, Bo An
2023	J	`jnl`	PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. Trans. Mach. Learn. Res. Shuo Sun, Molei Qin, Xinrun Wang, Bo An
2023	A*	`conf`	Partial-Label Regression. AAAI Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
2023	J	`jnl`	Partial-Label Regression. CoRR Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An
2023	A*	`conf`	Population-size-Aware Policy Optimization for Mean-Field Games. ICLR Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
2023	J	`jnl`	Population-size-Aware Policy Optimization for Mean-Field Games. CoRR Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An
2023	A*	`conf`	PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. KDD Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	A	`ed.`	Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29 May 2023 - 2 June 2023 AAMAS Noa Agmon, Bo An, Alessandro Ricci, William Yeoh
2023	A*	`conf`	RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
2023	A*	`conf`	Regression with Cost-based Rejection. NeurIPS Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023	J	`jnl`	Regression with Cost-based Rejection. CoRR Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023	J	`jnl`	Reinforcement Learning for Quantitative Trading. ACM Trans. Intell. Syst. Technol. Shuo Sun, Rundong Wang, Bo An
2023	J	`jnl`	Reinforcement Learning from Diverse Human Preferences. CoRR Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu
2023	J	`jnl`	Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. CoRR Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An
2023	A*	`conf`	ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. ICLR Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	A*	`conf`	Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. AAAI Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An
2023	A*	`conf`	State Regularized Policy Optimization on Data with Dynamics Shift. NeurIPS Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	J	`jnl`	State Regularized Policy Optimization on Data with Dynamics Shift. CoRR Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	A	`conf`	Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning. AAMAS Qian Che, Wanyuan Wang, Fengchen Wang, Tianchi Qiao, Xiang Liu, Jiuchuan Jiang, Bo An, Yichuan Jiang
2023	J	`jnl`	Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control. CoRR Longtao Zheng, Rundong Wang, Bo An
2023	J	`jnl`	Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
2023	A*	`conf`	TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning. NeurIPS Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An
2023	A*	`conf`	Weakly Supervised Regression with Interval Targets. ICML Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2023	J	`jnl`	Weakly Supervised Regression with Interval Targets. CoRR Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng
2022	—	`conf`	A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas. DAI Tu Gu, Bo An
2022	J	`jnl`	A Unified Perspective on Deep Equilibrium Finding. CoRR Xinrun Wang, Jakub Cerný, Shuxin Li, Chang Yang, Zhuyun Yin, Hau Chan, Bo An
2022	A*	`conf`	Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. NeurIPS Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou
2022	J	`jnl`	Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets. IEEE Trans. Parallel Distributed Syst. Jiuchuan Jiang, Kai Di, Bo An, Yichuan Jiang, Zhan Bu, Jie Cao
2022	A*	`conf`	Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games. IJCAI Youzhi Zhang, Bo An, V. S. Subrahmanian
2022	A*	`conf`	DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2022	A*	`conf`	Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. NeurIPS Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
2022	J	`jnl`	Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. CoRR Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
2022	J	`jnl`	Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. IEEE Intell. Syst. Bo An, Shuo Sun, Rundong Wang
2022	J	`jnl`	DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding. CoRR Shuo Sun, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An
2022	A	`conf`	DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. CIKM Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An
2022	A*	`conf`	GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. AAAI Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
2022	J	`jnl`	GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. CoRR Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
2022	A*	`conf`	Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. NeurIPS Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama
2022	—	`ed.`	Intelligent Information Processing XI - 12th IFIP TC 12 International Conference, IIP 2022, Qingdao, China, May 27-30, 2022, Proceedings IIP Zhongzhi Shi, Jean-Daniel Zucker, Bo An
2022	B	`conf`	L2E: Learning to Exploit Your Opponent. IJCNN Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing
2022	A*	`conf`	Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. ICML Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An
2022	J	`jnl`	Logit Clipping for Robust Learning against Label Noise. CoRR Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2022	A	`conf`	Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. AAMAS Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo
2022	A*	`conf`	Mitigating Neural Network Overconfidence with Logit Normalization. ICML Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022	J	`jnl`	Mitigating Neural Network Overconfidence with Logit Normalization. CoRR Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022	A	`conf`	Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. CIKM Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang
2022	J	`jnl`	NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. CoRR Wanqi Xue, Bo An, Chai Kiat Yeo
2022	A*	`conf`	NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. AAAI Wanqi Xue, Bo An, Chai Kiat Yeo
2022	J	`jnl`	Off-Beat Multi-Agent Reinforcement Learning. CoRR Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2022	J	`jnl`	Offline Equilibrium Finding. CoRR Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Hau Chan, Bo An
2022	A*	`conf`	Online Ad Hoc Teamwork under Partial Observability. ICLR Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An
2022	A	`conf`	Online Collective Multiagent Planning by Offline Policy Reuse with Applications to City-Scale Mobility-on-Demand Systems. AAMAS Wanyuan Wang, Gerong Wu, Weiwei Wu, Yichuan Jiang, Bo An
2022	A*	`conf`	Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2022	J	`jnl`	Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
2022	A*	`conf`	Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE. NeurIPS Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, Xin Miao, Bo An
2022	J	`jnl`	Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An
2022	J	`jnl`	PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. CoRR Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An
2022	A*	`conf`	Pretrained Cost Model for Distributed Constraint Optimization Problems. AAAI Yanchen Deng, Shufeng Kong, Bo An
2022	A*	`conf`	Quantal Correlated Equilibrium in Normal Form Games. EC Jakub Cerný, Bo An, Allan N. Zhang
2022	J	`jnl`	Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach. CoRR Shuo Sun, Rundong Wang, Bo An
2022	J	`jnl`	RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu
2022	J	`jnl`	Regularized Matrix Factorization for Multilabel Learning With Missing Labels. IEEE Trans. Cybern. Lei Feng, Jun Huang, Senlin Shu, Bo An
2022	J	`jnl`	ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. CoRR Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An
2022	J	`jnl`	SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. Trans. Mach. Learn. Res. Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
2021	A*	`conf`	CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. IJCAI Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
2021	J	`jnl`	CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. CoRR Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An
2021	A*	`conf`	Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. AAAI Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
2021	A*	`conf`	Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. AAAI David Milec, Jakub Cerný, Viliam Lisý, Bo An
2021	A*	`conf`	Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. AAAI Youzhi Zhang, Bo An, Jakub Cerný
2021	A*	`conf`	Computing Quantal Stackelberg Equilibrium in Extensive-Form Games. AAAI Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An
2021	J	`jnl`	Contingency-Aware Influence Maximization: A Reinforcement Learning Approach. CoRR Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe
2021	A	`conf`	Contingency-aware influence maximization: A reinforcement learning approach. UAI Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe
2021	J	`jnl`	Cooperation, Retaliation and Forgiveness in Revision Games. CoRR Dong Hao, Qi Shi, Jinyan Su, Bo An
2021	J	`jnl`	DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2021	J	`jnl`	Electric vehicle charging strategy study and the application on charging station placement. Auton. Agents Multi Agent Syst. Yanhai Xiong, Bo An, Sarit Kraus
2021	J	`jnl`	Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. IEEE Intell. Syst. Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An
2021	J	`jnl`	Group-Oriented Task Allocation for Crowdsourcing in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. Jiuchuan Jiang, Bo An, Yichuan Jiang, Chenyan Zhang, Zhan Bu, Jie Cao
2021	J	`jnl`	L2E: Learning to Exploit Your Opponent. CoRR Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing
2021	A*	`conf`	Learning from Similarity-Confidence Data. ICML Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Learning from Similarity-Confidence Data. CoRR Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. CoRR Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo
2021	J	`jnl`	Multi-Class Classification from Single-Class Data with Confidences. CoRR Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	A*	`conf`	Multiple-Instance Learning from Similar and Dissimilar Bags. KDD Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2021	A*	`conf`	Neural Regret-Matching for Distributed Constraint Optimization Problems. IJCAI Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An
2021	J	`jnl`	On the Robustness of Average Losses for Partial-Label Learning. CoRR Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama
2021	A*	`conf`	Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. NeurIPS Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
2021	J	`jnl`	Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. CoRR Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
2021	J	`jnl`	Orientational variable-length strip covering problem: A branch-and-price-based algorithm. Eur. J. Oper. Res. Xiaoxuan Hu, Waiming Zhu, Huawei Ma, Bo An, Yanling Zhi, Yi Wu
2021	A*	`conf`	Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. AAAI Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An
2021	A*	`conf`	Pointwise Binary Classification with Pairwise Confidence Comparisons. ICML Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
2021	J	`jnl`	Pretrained Cost Model for Distributed Constraint Optimization Problems. CoRR Yanchen Deng, Shufeng Kong, Bo An
2021	A*	`conf`	RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. NeurIPS Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
2021	J	`jnl`	RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. CoRR Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich
2021	J	`jnl`	Reinforcement Learning for Quantitative Trading. CoRR Shuo Sun, Rundong Wang, Bo An
2021	A*	`conf`	Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. IJCAI Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
2021	J	`jnl`	Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. CoRR Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
2021	J	`jnl`	Toward Efficient City-Scale Patrol Planning Using Decomposition and Grafting. IEEE Trans. Intell. Transp. Syst. Wanyuan Wang, Zichen Dong, Bo An, Yichuan Jiang
2021	J	`jnl`	Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function. Auton. Agents Multi Agent Syst. Yanchen Deng, Bo An
2020	—	`conf`	Battery Management for Automated Warehouses via Deep Reinforcement Learning. DAI Yanchen Deng, Bo An, Zongmin Qiu, Liuxi Li, Yong Wang, Yinghui Xu
2020	A*	`conf`	Can Cross Entropy Loss Be Robust to Label Noise? IJCAI Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
2020	A*	`conf`	Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. CVPR Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An
2020	J	`jnl`	Combating noisy labels by agreement: A joint training method with co-regularization. CoRR Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An
2020	J	`jnl`	Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. CoRR Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao
2020	J	`jnl`	Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. CoRR David Milec, Jakub Cerný, Viliam Lisý, Bo An
2020	J	`jnl`	Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. CoRR Youzhi Zhang, Bo An
2020	A*	`conf`	Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. AAAI Youzhi Zhang, Bo An
2020	—	`conf`	Context-Aware Multi-agent Coordination with Loose Couplings and Repeated Interaction. DAI Feifei Lin, Xu He, Bo An
2020	J	`jnl`	Context-Aware Reliable Crowdsourcing in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin
2020	A	`conf`	Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. RecSys Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang
2020	J	`jnl`	Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. CoRR Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang
2020	A*	`conf`	Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games. ICML Youzhi Zhang, Bo An
2020	A*	`conf`	Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium. IJCAI Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An
2020	J	`jnl`	Efficient Reservoir Management through Deep Reinforcement Learning. CoRR Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe
2020	A*	`conf`	Finite State Machines Play Extensive-Form Games. EC Jakub Cerný, Branislav Bosanský, Bo An
2020	A*	`conf`	I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. IJCAI Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich
2020	A	`conf`	Learning Behaviors with Uncertain Human Feedback. UAI Xu He, Haipeng Chen, Bo An
2020	J	`jnl`	Learning Behaviors with Uncertain Human Feedback. CoRR Xu He, Haipeng Chen, Bo An
2020	A*	`conf`	Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. ICML Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich
2020	A*	`conf`	Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An
2020	A	`conf`	Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
2020	J	`jnl`	Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. CoRR Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
2020	A*	`conf`	Learning with Multiple Complementary Labels. ICML Lei Feng, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama
2020	J	`jnl`	MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. CoRR Hongxin Wei, Lei Feng, Rundong Wang, Bo An
2020	J	`jnl`	Optimal Spot-Checking for Improving the Evaluation Quality of Crowdsourcing: Application to Peer Grading Systems. IEEE Trans. Comput. Soc. Syst. Wanyuan Wang, Bo An, Yichuan Jiang
2020	J	`jnl`	Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. CoRR Runsheng Yu, Yu Gong, Xu He, Bo An, Yu Zhu, Qingwen Liu, Wenwu Ou
2020	J	`jnl`	Pointwise Binary Classification with Pairwise Confidence Comparisons. CoRR Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
2020	A	`ed.`	Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020 AAMAS Amal El Fallah Seghrouchni, Gita Sukthankar, Bo An, Neil Yorke-Smith
2020	A*	`conf`	Provably Consistent Partial-Label Learning. NeurIPS Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020	J	`jnl`	Provably Consistent Partial-Label Learning. CoRR Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
2020	J	`jnl`	Randomized Security Patrolling for Link Flooding Attack Detection. IEEE Trans. Dependable Secur. Comput. Xiaobo Ma, Bo An, Mengchen Zhao, Xiapu Luo, Lei Xue, Zhenhua Li, Tony T. N. Miu, Xiaohong Guan
2020	J	`jnl`	SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. CoRR Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
2020	A*	`conf`	Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities. IJCAI Yanchen Deng, Bo An
2020	—	`conf`	User detection of threats with different security measures. ICHMS Yoav Ben Yaakov, Joachim Meyer, Xinrun Wang, Bo An
2020	A*	`conf`	We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. ICAPS Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li
2019	A*	`conf`	A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. AAAI Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An
2019	J	`jnl`	A branch and price algorithm for EOS constellation imaging and downloading integrated scheduling problem. Comput. Oper. Res. Xiaoxuan Hu, Waiming Zhu, Bo An, Peng Jin, Wei Xia
2019	J	`jnl`	Batch Allocation for Tasks with Overlapping Skill Requirements in Crowdsourcing. IEEE Trans. Parallel Distributed Syst. Jiuchuan Jiang, Bo An, Yichuan Jiang, Peng Shi, Zhan Bu, Jie Cao
2019	—	`conf`	Choosing Protection: User Investments in Security Measures for Cyber Risk Management. GameSec Yoav Ben Yaakov, Xinrun Wang, Joachim Meyer, Bo An
2019	A*	`conf`	Collaboration Based Multi-Label Learning. AAAI Lei Feng, Bo An, Shuo He
2019	J	`jnl`	Collaboration based Multi-Label Learning. CoRR Lei Feng, Bo An, Shuo He
2019	A	`conf`	Competitive Bridge Bidding with Deep Neural Networks. AAMAS Jiang Rong, Tao Qin, Bo An
2019	J	`jnl`	Competitive Bridge Bidding with Deep Neural Networks. CoRR Jiang Rong, Tao Qin, Bo An
2019	J	`jnl`	Competitive Cloud Pricing for Long-Term Revenue Maximization. J. Comput. Sci. Technol. Jiang Rong, Tao Qin, Bo An
2019	A*	`conf`	Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. IJCAI Wei Qiu, Haipeng Chen, Bo An
2019	A	`conf`	Efficient City-Scale Patrolling Using Decomposition and Grafting. AAMAS Wanyuan Wang, Zichen Dong, Bo An, Yichuan Jiang
2019	A*	`conf`	InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
2019	J	`jnl`	Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An
2019	J	`jnl`	Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. CoRR Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich
2019	J	`jnl`	Learning from Multiple Complementary Labels. CoRR Lei Feng, Bo An
2019	A*	`conf`	Manipulating a Learning Defender and Ways to Counteract. NeurIPS Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge
2019	J	`jnl`	Manipulating a Learning Defender and Ways to Counteract. CoRR Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge
2019	A*	`conf`	On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2019	A*	`conf`	Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. AAAI Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings
2019	A*	`conf`	Partial Label Learning by Semantic Difference Maximization. IJCAI Lei Feng, Bo An
2019	A*	`conf`	Partial Label Learning with Self-Guided Retraining. AAAI Lei Feng, Bo An
2019	J	`jnl`	Partial Label Learning with Self-Guided Retraining. CoRR Lei Feng, Bo An
2019	J	`jnl`	Protecting internet infrastructure against link flooding attacks: A techno-economic perspective. Inf. Sci. Xiaobo Ma, Jianfeng Li, Yajuan Tang, Bo An, Xiaohong Guan
2019	A*	`conf`	Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. WWW Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao
2019	—	`conf`	Social Cost Guarantees in Smart Route Guidance. PRICAI (2) Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings
2019	J	`jnl`	Social Cost Guarantees in Smart Route Guidance. CoRR Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings
2019	J	`jnl`	Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Trans. Mob. Comput. Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang, Bo An, Zhifeng Hao, Bing Chen
2019	—	`conf`	When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An
2019	A*	`conf`	Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. IJCAI Xinrun Wang, Bo An, Hau Chan
2018	J	`jnl`	ACM TIST Special Issue on Urban Intelligence. ACM Trans. Intell. Syst. Technol. Bo An, Nicholas R. Jennings, Zhenhui Jessie Li
2018	J	`jnl`	Active learning with confidence-based answers for crowdsourcing labeling tasks. Knowl. Based Syst. Jinhua Song, Hao Wang, Yang Gao, Bo An
2018	Misc	`ed.`	Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - 16th International Conference, PAAMS 2018, Toledo, Spain, June 20-22, 2018, Proceedings PAAMS Yves Demazeau, Bo An, Javier Bajo, Antonio Fernández-Caballero
2018	J	`jnl`	Camera Placement Based on Vehicle Traffic for Better City Security Surveillance. IEEE Intell. Syst. Xiaobo Ma, Yihui He, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan
2018	A*	`conf`	Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. AAAI Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong
2018	A*	`conf`	Data Poisoning Attacks on Multi-Task Relationship Learning. AAAI Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan
2018	A*	`conf`	DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. AAAI Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh
2018	A*	`conf`	Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. AAAI Jiang Rong, Tao Qin, Bo An
2018	A	`conf`	Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An
2018	A*	`conf`	HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. AAAI Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An
2018	A*	`conf`	Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. IJCAI Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu
2018	A	`conf`	Inducible Equilibrium for Security Games. AAMAS Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018	A*	`conf`	Leveraging Latent Label Distributions for Partial Label Learning. IJCAI Lei Feng, Bo An
2018	J	`jnl`	On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018	J	`jnl`	Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. IEEE Trans. Intell. Transp. Syst. Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan
2018	A*	`conf`	Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems. AAAI Wanyuan Wang, Bo An, Yichuan Jiang
2018	J	`jnl`	Optimal defense against election control by deleting voter groups. Artif. Intell. Yue Yin, Yevgeniy Vorobeychik, Bo An, Noam Hazon
2018	J	`jnl`	Predicting Human Decision-Making: From Prediction to Action, Ariel Rosenfeld, Sarit Kraus. Morgan & Claypool Publishers (2018). Artif. Intell. Bo An
2018	A*	`conf`	Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
2018	J	`jnl`	Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Trans. Auton. Adapt. Syst. Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao
2017	J	`jnl`	Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. AI Mag. Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang
2017	A*	`conf`	Comparing Strategic Secrecy and Stackelberg Commitment in Security Games. IJCAI Qingyu Guo, Bo An, Branislav Bosanský, Christopher Kiekintveld
2017	J	`jnl`	Data-Driven Frequency-Based Airline Profit Maximization. ACM Trans. Intell. Syst. Technol. Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian
2017	—	`ed.`	Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Vienna, Austria, October 23-25, 2017, Proceedings GameSec Stefan Rass, Bo An, Christopher Kiekintveld, Fei Fang, Stefan Schauer
2017	A*	`conf`	Defending Against Man-In-The-Middle Attack in Repeated Games. IJCAI Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang
2017	A*	`conf`	Efficient Label Contamination Attacks Against Black-Box Learning Models. IJCAI Mengchen Zhao, Bo An, Wei Gao, Teng Zhang
2017	A*	`conf`	Game Theoretic Analysis of Security and Sustainability. IJCAI Bo An
2017	J	`jnl`	Game-Theoretic Considerations for Optimizing Taxi System Efficiency. IEEE Intell. Syst. Jiarui Gan, Bo An
2017	J	`jnl`	Human-computer negotiation in a three player market setting. Artif. Intell. Galit Haim, Ya'akov (Kobi) Gal, Bo An, Sarit Kraus
2017	J	`jnl`	Measuring the social influences of scientist groups based on multiple types of collaboration relations. Inf. Process. Manag. Jiuchuan Jiang, Peng Shi, Bo An, Jianyong Yu, Chongjun Wang
2017	A	`conf`	Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments. ICWS Li Pan, Bo An, Shijun Liu, Lizhen Cui
2017	A*	`conf`	Optimal Escape Interdiction on Transportation Networks. IJCAI Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings
2017	A*	`conf`	Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. AAAI Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An
2017	J	`jnl`	PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Mag. Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux
2017	A*	`conf`	POI2Vec: Geographical Latent Representation for Predicting Future Visitors. AAAI Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee
2017	B	`ed.`	PRIMA 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings PRIMA Bo An, Ana L. C. Bazzan, João Leite, Serena Villata, Leendert W. N. van der Torre
2017	A*	`conf`	Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. IJCAI Qingyu Guo, Bo An, Long Tran-Thanh
2017	A	`conf`	Pricing Optimization for Selling Reusable Resources. AAMAS Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2017	A*	`conf`	Revenue Maximization for Finitely Repeated Ad Auctions. AAAI Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2017	A*	`conf`	Security Games on a Plane. AAAI Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch
2017	A	`conf`	Stop Nuclear Smuggling Through Efficient Container Inspection. AAMAS Xinrun Wang, Qingyu Guo, Bo An
2017	—	`conf`	Strategic Information Revelation and Commitment in Security Games. AAAI Workshops Qingyu Guo, Bo An, Branislav Bosanský, Christopher Kiekintveld
2017	J	`jnl`	Toward Efficient Team Formation for Crowdsourcing in Noncooperative Social Networks. IEEE Trans. Cybern. Wanyuan Wang, Jiuchuan Jiang, Bo An, Yichuan Jiang, Bing Chen
2017	J	`jnl`	Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance. CoRR Xiaobo Ma, Yihui He, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan
2017	J	`jnl`	Workload Factoring and Resource Sharing via Joint Vertical and Horizontal Cloud Federation Networks. IEEE J. Sel. Areas Commun. Haipeng Chen, Bo An, Dusit Niyato, Yeng Chai Soh, Chunyan Miao
2016	J	`jnl`	A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems. Auton. Agents Multi Agent Syst. Yuan Liu, Jie Zhang, Bo An, Sandip Sen
2016	J	`jnl`	Alternating-offers bargaining in one-to-many and many-to-many settings. Ann. Math. Artif. Intell. Bo An, Nicola Gatti, Victor R. Lesser
2016	A	`conf`	Coalitional Security Games. AAMAS Qingyu Guo, Bo An, Yevgeniy Vorobeychik, Long Tran-Thanh, Jiarui Gan, Chunyan Miao
2016	A*	`conf`	Computing Optimal Monitoring Strategy for Detecting Terrorist Plots. AAAI Zhen Wang, Yue Yin, Bo An
2016	A*	`conf`	Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe
2016	A*	`conf`	Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
2016	A*	`conf`	Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. AAAI Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen
2016	A*	`conf`	Efficient Resource Allocation for Protecting Coral Reef Ecosystems. IJCAI Yue Yin, Bo An
2016	A*	`conf`	MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. KDD Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian
2016	A	`conf`	Measuring the Distance Between Finite Markov Decision Processes. AAMAS Jinhua Song, Yang Gao, Hao Wang, Bo An
2016	A	`conf`	Modeling Bounded Rationality for Sponsored Search Auctions. ECAI Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2016	A*	`conf`	Optimal Interdiction of Illegal Network Flow. IJCAI Qingyu Guo, Bo An, Yair Zick, Chunyan Miao
2016	A	`conf`	Optimal Pricing for Efficient Electric Vehicle Charging Station Management. AAMAS Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Yeng Chai Soh
2016	A	`conf`	Optimal Sample Size for Adword Auctions: (Extended Abstract). AAMAS Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2016	A*	`conf`	Optimally Protecting Elections. IJCAI Yue Yin, Yevgeniy Vorobeychik, Bo An, Noam Hazon
2016	A*	`conf`	Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. AAAI Mengchen Zhao, Bo An, Christopher Kiekintveld
2016	J	`jnl`	Recent advances in Support Vector Machines. Neurocomputing Shifei Ding, Zhongzhi Shi, Dacheng Tao, Bo An
2015	J	`jnl`	Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer. IEEE Trans. Cybern. Yujing Hu, Yang Gao, Bo An
2015	—	`ed.`	Agents and Data Mining Interaction - 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers ADMI Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu
2015	A*	`conf`	Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs. IJCAI Yue Yin, Haifeng Xu, Jiarui Gan, Bo An, Albert Xin Jiang
2015	A	`conf`	Computing Quantal Response Equilibrium for Sponsored Search Auctions. AAMAS Jiang Rong, Tao Qin, Bo An
2015	—	`conf`	Game Theoretic Considerations for Optimizing Efficiency of Taxi Systems. AAAI Workshop: Computational Sustainability Jiarui Gan, Bo An
2015	B	`conf`	Learning Personality Modeling for Regulating Learning Feedback. ICALT Matthias Chan Yong Shun, Miao-Chun Yan, Zhiqi Shen, Bo An
2015	A	`conf`	Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction. AAMAS Yujing Hu, Yang Gao, Bo An
2015	B	`conf`	Modeling Learner's Emotions with PAD. ICALT Matthias Chan Yong Shun, Miao-Chun Yan, Bo An, Cyril Leung
2015	J	`jnl`	Multiagent Reinforcement Learning With Unshared Value Functions. IEEE Trans. Cybern. Yujing Hu, Yang Gao, Bo An
2015	A*	`conf`	Optimal Electric Vehicle Charging Station Placement. IJCAI Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan
2015	A	`conf`	Optimizing Efficiency of Taxi Systems: Scaling-up and Handling Arbitrary Constraints. AAMAS Jiarui Gan, Bo An, Chunyan Miao
2015	A*	`conf`	Security Games with Protection Externalities. AAAI Jiarui Gan, Bo An, Yevgeniy Vorobeychik
2014	—	`conf`	A New Paradigm for the Study of Corruption in Different Cultures. SBP Ya'akov (Kobi) Gal, Avi Rosenfeld, Sarit Kraus, Michele Gelfand, Bo An, Jun Lin
2014	A	`conf`	A practical robustness measure of incentive mechanisms. AAMAS Yuan Liu, Jie Zhang, Bo An, Sandip Sen
2014	A	`conf`	An efficient algorithm for taxi system optimization. AAMAS Jiarui Gan, Bo An, Chunyan Miao
2014	J	`jnl`	An extended study on multi-objective security games. Auton. Agents Multi Agent Syst. Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe
2014	A*	`conf`	Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Games. ICAPS Yevgeniy Vorobeychik, Bo An, Milind Tambe, Satinder Singh
2014	A	`conf`	Dynamic allocation of security resources for protecting public events. AAMAS Yue Yin, Bo An, Manish Jain
2014	J	`jnl`	Filtering trust opinions through reinforcement learning. Decis. Support Syst. Han Yu, Zhiqi Shen, Chunyan Miao, Bo An, Cyril Leung
2014	A*	`conf`	Game-Theoretic Resource Allocation for Protecting Large Public Events. AAAI Yue Yin, Bo An, Manish Jain
2014	A	`conf`	Human-Computer Negotiation in Three-Player Market Settings. ECAI Galit Haim, Ya'akov (Kobi) Gal, Sarit Kraus, Bo An
2014	A	`conf`	Modeling curiosity for virtual learning companions. AAMAS Qiong Wu, Chunyan Miao, Bo An
2014	A*	`conf`	Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier
2014	A	`conf`	Reputation-aware task allocation for human trustees. AAMAS Han Yu, Chunyan Miao, Bo An, Zhiqi Shen, Cyril Leung
2013	J	`jnl`	A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard. Interfaces Bo An, Fernando Ordóñez, Milind Tambe, Eric Shieh, Rong Yang, Craig Baldwin, Joseph DiRenzo, Kathryn Moretti, Ben Maule, Garrett Meyer
2013	A*	`conf`	A Reputation Management Approach for Resource Constrained Trustee Agents. IJCAI Han Yu, Chunyan Miao, Bo An, Cyril Leung, Victor R. Lesser
2013	A	`conf`	A reputation-aware decision-making approach for improving the efficiency of crowdsourcing systems. AAMAS Han Yu, Zhiqi Shen, Chunyan Miao, Bo An
2013	J	`jnl`	Bilateral bargaining with one-sided uncertain reserve prices. Auton. Agents Multi Agent Syst. Bo An, Nicola Gatti, Victor R. Lesser
2013	A*	`conf`	Optimal Pricing for Improving Efficiency of Taxi Systems. IJCAI Jiarui Gan, Bo An, Haizhong Wang, Xiaoming Sun, Zhongzhi Shi
2013	—	`ch.`	Security Games Applied to Real-World: Research Contributions and Challenges. Moving Target Defense Manish Jain, Bo An, Milind Tambe
2013	A	`conf`	Security games with surveillance cost and optimal timing of attack execution. AAMAS Bo An, Matthew Brown, Yevgeniy Vorobeychik, Milind Tambe
2012	—	`conf`	Adversarial Patrolling Games. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health Yevgeniy Vorobeychik, Bo An, Milind Tambe
2012	A	`conf`	Adversarial patrolling games. AAMAS Yevgeniy Vorobeychik, Bo An, Milind Tambe
2012	B	`conf`	An Adaptive Witness Selection Method for Reputation-Based Trust Models. PRIMA Han Yu, Zhiqi Shen, Bo An
2012	J	`jnl`	An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Safety. AI Mag. Manish Jain, Bo An, Milind Tambe
2012	—	`conf`	Challenges and Opportunities for Trust Management in Crowdsourcing. IAT Han Yu, Zhiqi Shen, Chunyan Miao, Bo An
2012	—	`conf`	Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health Milind Tambe, Bo An
2012	—	`conf`	Getting Started on a Real-World Challenge Problem in Computational Game Theory and Beyond. AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge Milind Tambe, Bo An
2012	A	`conf`	Multi-objective optimization for security games. AAMAS Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe
2012	J	`jnl`	PROTECT - A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard. AI Mag. Bo An, Eric Shieh, Milind Tambe, Rong Yang, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer
2012	A*	`conf`	PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States. AAAI Eric Anyung Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer
2012	A	`conf`	PROTECT: a deployed game theoretic system to protect the ports of the United States. AAMAS Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer
2012	J	`jnl`	Reports of the AAAI 2012 Spring Symposia. AI Mag. Harith Alani, Bo An, Manish Jain, Takashi Kido, George Dimitri Konidaris, William F. Lawless, David L. Martin, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar
2012	A*	`conf`	Security Games with Limited Surveillance. AAAI Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik
2012	—	`conf`	Security Games with Limited Surveillance: An Initial Report. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health Bo An, David Kempe, Christopher Kiekintveld, Eric Anyung Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik
2012	—	`ch.`	Yushu: A Heuristic-Based Agent for Automated Negotiating Competition. New Trends in Agent-Based Complex Automated Negotiations Bo An, Victor R. Lesser
2011	A	`conf`	Agent-mediated multi-step optimization for resource allocation in distributed sensor networks. AAMAS Bo An, Victor R. Lesser, David Westbrook, Michael Zink
2011	J	`jnl`	GUARDS and PROTECT: next generation applications of security games. SIGecom Exch. Bo An, James Pita, Eric Anyung Shieh, Milind Tambe, Christopher Kiekintveld, Janusz Marecki
2011	C	`conf`	Game Theory for Security: An Important Challenge for Multiagent Systems. EUMAS Bo An, Milind Tambe
2011	—	`conf`	Mixed-Initiative Optimization in Security Games: A Preliminary Report. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration Bo An, Manish Jain, Milind Tambe, Christopher Kiekintveld
2011	A	`conf`	Negotiation over decommitment penalty. AAMAS Bo An, Victor R. Lesser
2011	A*	`conf`	Refinement of Strong Stackelberg Equilibria in Security Games. AAAI Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld
2011	J	`jnl`	Strategic agents for multi-resource negotiation. Auton. Agents Multi Agent Syst. Bo An, Victor R. Lesser, Kwang Mong Sim
2010	A	`conf`	Automated negotiation with decommitment for dynamic resource allocation in cloud computing. AAMAS Bo An, Victor R. Lesser, David Irwin, Michael Zink
2010	J	`jnl`	Characterizing Contract-Based Multiagent Resource Allocation in Networks. IEEE Trans. Syst. Man Cybern. Part B Bo An, Victor R. Lesser
2010	—	`conf`	Multi-Agent Asynchronous Negotiation Based on Time-Delay. LSMS/ICSEE (1) Lianggui Tang, Bo An
2010	A	`conf`	Searching for pure strategy equilibria in bilateral bargaining with one-sided uncertainty. AAMAS Bo An, Nicola Gatti, Victor R. Lesser
2009	—	`conf`	Bilateral Bargaining with One-Sided Two-Type Uncertainty. IAT Bo An, Nicola Gatti, Victor R. Lesser
2009	J	`jnl`	Evolving Best-Response Strategies for Market-Driven Agents Using Aggregative Fitness GA. IEEE Trans. Syst. Man Cybern. Part C Kwang Mong Sim, Bo An
2009	—	`conf`	Extending Alternating-Offers Bargaining in One-to-Many and Many-to-Many Settings. IAT Bo An, Nicola Gatti, Victor R. Lesser
2008	—	`conf`	Decommitment in multi-resource negotiation. AAMAS (3) Bo An, Victor R. Lesser, Kwang Mong Sim
2008	—	`conf`	Heuristics for negotiation schedules in multi-plan optimization. AAMAS (2) Bo An, Fred Douglis, Fan Ye
2007	J	`jnl`	Algorithms for Transitive Dependence-Based Coalition Formation. IEEE Trans. Ind. Informatics Bo An, Zhiqi Shen, Chunyan Miao, Daijie Cheng
2007	—	`conf`	An Agent Reinforcement Learning Model Based on Neural Networks. LSMS (1) Lianggui Tang, Bo An, Daijie Cheng
2007	—	`conf`	An Application of Automated Negotiation to Distributed Task Allocation. IAT Michael Krainin, Bo An, Victor R. Lesser
2007	B	`conf`	Evolving the best-response strategy to decide when to make a proposal. IEEE Congress on Evolutionary Computation Bo An, Kwang Mong Sim, Victor R. Lesser
2007	A*	`conf`	Market Based Resource Allocation with Incomplete Information. IJCAI Bo An, Chunyan Miao, Zhiqi Shen
2006	J	`jnl`	Continuous-Time Negotiation Mechanism for Software Agents. IEEE Trans. Syst. Man Cybern. Part B Bo An, Kwang Mong Sim, Liang Gui Tang, Shuang Qing Li, Dai Jie Cheng
2006	J	`jnl`	Fuzzy cognitive maps for dynamic grid service negotiation. Multiagent Grid Syst. Chunyan Miao, Jianshu Weng, Angela Goh, Zhiqi Shen, Bo An
2005	J	`jnl`	A Coalition Formation Framework Based on Transitive Dependence. IEICE Trans. Inf. Syst. Bo An, Chunyan Miao, Daijie Cheng
2005	C	`conf`	A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation. IDEAL Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, Daijie Cheng
2005	C	`conf`	Toward Transitive Dependence in MAS. IDEAL Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, Daijie Cheng
2005	—	`conf`	Transitive Dependence Based Formation of Virtual Organizations. CIS (1) Bo An, Chunyan Miao, Zhiqi Shen, Yuan Miao, Daijie Cheng
2004	—	`conf`	A Negotiation Strategy based on Uncompromising Degree. IAT Bo An, Lianggui Tang, Shuangqing Li, Daijie Cheng