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ORCIDBo An 0001
Person information
- affiliation: Nanyang Technological University, Singapore
Other persons with the same name
- Bo An 0002
![[0000-0003-0805-4268]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0805-4268")
— Chinese Academy of Sciences, Institute of Software, Beijing, China - Bo An 0003 — Peking University, Beijing, China
- Bo An 0004 — North China Electric Power University, Beijing, China
- Bo An 0005 — Universitat Politécnica de Catalunya, Barcelona, Spain
- Bo An 0006 — Beihang University, Beijing, China
- Bo An 0007 — Heilongjiang Institute of Technology, Harbin, China
- Bo An 0008 — Southeast University, School of Computer Science and Engineering, China
- Bo An 0009 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Bo An 0010 — Chinese Academy of Social Sciences, Institute of Ethnology and Anthropology, CASS Research Center for Ethnic Minority languages, Beijing, China
- Bo An 0011 — Lanzhou Jiaotong University, School of Automation and Electrical Engineering, China
- Bo An 0012 — Hebei Chemical and Pharmaceutical Vocational and Technical College, Shijiazhuang, China
- Bo An 0013 — Shijiazhuang University of Applied Technology, Department of Economy and Trade, China
- Bo An 0014 — Zhejiang University, Hangzhou, China
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2020 – today
- 2024
[j68]Wanyuan Wang, Qian Che, Yifeng Zhou, Weiwei Wu, Bo An, Yichuan Jiang:
Offline policy reuse-guided anytime online collective multiagent planning and its application to mobility-on-demand systems. Auton. Agents Multi Agent Syst. 38(1): 19 (2024)- [j67]Ruhao Jiang, Yanchen Deng, Yingying Chen, He Luo, Bo An:
Deep reinforcement learning for multi-objective game strategy selection. Comput. Oper. Res. 168: 106683 (2024) - [j66]Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An:
TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. Int. J. Artif. Intell. Robotics Res. 1(2): 2450004:1-2450004:21 (2024) - [j65]Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng:
Online binary classification from similar and dissimilar data. Mach. Learn. 113(6): 3463-3484 (2024) - [j64]Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao:
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks 178: 106544 (2024) - [j63]Jiaqi Lv, Biao Liu, Lei Feng, Ning Xu, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2569-2583 (2024) - [j62]Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An:
Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3096-3107 (2024) - [c219]Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An:
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. AAAI 2024: 14669-14676 - [c218]Haochong Xia, Shuo Sun, Xinrun Wang, Bo An:
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. AAAI 2024: 15996-16004 - [c217]Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An:
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI 2024: 17469-17476 - [c216]Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An:
Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS 2024: 4816-4824 - [c215]Yuzhou Cao, Lei Feng, Bo An:
Consistent Hierarchical Classification with A Generalized Metric. AISTATS 2024: 4825-4833 - [c214]Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An:
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. AAMAS 2024: 1147-1155 - [c213]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. AAMAS 2024: 2552-2554 - [c212]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS 2024: 2621-2623 - [c211]Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou:
Improving Unsupervised Hierarchical Representation With Reinforcement Learning. CVPR 2024: 22946-22956 - [c210]Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu:
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR 2024 - [c209]Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR 2024 - [c208]Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An:
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. ICLR 2024 - [c207]Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng:
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR 2024 - [c206]Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An:
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR 2024 - [c205]Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng:
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR 2024 - [c204]Youzhi Zhang, Bo An, Daniel Dajun Zeng:
DAG-Based Column Generation for Adversarial Team Games. ICML 2024 - [c203]Lang Feng, Pengjie Gu, Bo An, Gang Pan:
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. ICML 2024 - [c202]Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao:
Safe and Robust Subgame Exploitation in Imperfect Information Games. ICML 2024 - [c201]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An:
Configurable Mirror Descent: Towards a Unification of Decision Making. ICML 2024 - [c200]Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li:
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. ICML 2024 - [c199]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. IJCAI 2024: 139-147 - [c198]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. IJCAI 2024: 265-273 - [c197]Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An:
PoRank: A Practical Framework for Learning to Rank Policies. IJCAI 2024: 4044-4052 - [c196]Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. IJCAI 2024: 5298-5306 - [c195]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. IJCAI 2024: 5725-5733 - [c194]Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Li, Jian Guo:
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. IJCAI 2024: 5999-6007 - [c193]Ying Zheng, Lei Jiao, Yuedong Xu, Bo An, Xin Wang, Zongpeng Li:
Scheduling Generative-AI Job DAGs with Model Serving in Data Centers. IWQoS 2024: 1-6 - [c192]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:
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. KDD 2024: 4314-4325 - [c191]Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An:
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. KDD 2024: 4712-4721 - [c190]Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An:
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. NeurIPS 2024 - [c189]Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An:
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. WWW 2024: 187-198 - [i97]Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An:
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. CoRR abs/2401.00426 (2024) - [i96]Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An:
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. CoRR abs/2401.08909 (2024) - [i95]Qi Wei, Lei Feng, Haobo Wang, Bo An:
Debiased Sample Selection for Combating Noisy Labels. CoRR abs/2401.13360 (2024) - [i94]Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An:
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. CoRR abs/2401.14151 (2024) - [i93]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:
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist. CoRR abs/2402.18485 (2024) - [i92]Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen:
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. CoRR abs/2403.00255 (2024) - [i91]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:
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR abs/2403.03186 (2024) - [i90]Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan:
AgentStudio: A Toolkit for Building General Virtual Agents. CoRR abs/2403.17918 (2024) - [i89]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. CoRR abs/2404.11144 (2024) - [i88]Pengdeng Li, Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Stephen McAleer, Hau Chan, Bo An:
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems. CoRR abs/2404.12626 (2024) - [i87]Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. CoRR abs/2405.00987 (2024) - [i86]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. CoRR abs/2405.03518 (2024) - [i85]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR abs/2405.08638 (2024) - [i84]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An:
Configurable Mirror Descent: Towards a Unification of Decision Making. CoRR abs/2405.11746 (2024) - [i83]Lang Feng, Pengjie Gu, Bo An, Gang Pan:
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. CoRR abs/2405.17879 (2024) - [i82]Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An:
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts. CoRR abs/2405.18979 (2024) - [i81]Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li:
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. CoRR abs/2406.01124 (2024) - [i80]Chaojie Wang, Yanchen Deng, Zhiyi Lv, Zeng Liang, Jujie He, Shuicheng Yan, Bo An:
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. CoRR abs/2406.14283 (2024) - [i79]Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An:
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. CoRR abs/2406.14537 (2024) - [i78]Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
In-Context Exploiter for Extensive-Form Games. CoRR abs/2408.05575 (2024) - [i77]Yewen Li, Chaojie Wang, Xiaobo Xia, Xu He, Ruyi An, Dong Li, Tongliang Liu, Bo An, Xinrun Wang:
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. CoRR abs/2409.03801 (2024) - [i76]Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR abs/2409.09957 (2024) - [i75]Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen:
Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games. CoRR abs/2410.01575 (2024) - [i74]Aye Phyu Phyu Aung, Xinrun Wang, Ruiyu Wang, Hau Chan, Bo An, Xiaoli Li, J. Senthilnath:
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models. CoRR abs/2410.04764 (2024) - [i73]Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An:
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head. CoRR abs/2411.08937 (2024) - [i72]Xiaoxuan Lou, Chaojie Wang, Bo An:
Mars-PO: Multi-Agent Reasoning System Preference Optimization. CoRR abs/2411.19039 (2024) - [i71]Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, Shuicheng Yan:
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation. CoRR abs/2412.04448 (2024) - [i70]Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, Bo An:
GAS: Generative Auto-bidding with Post-training Search. CoRR abs/2412.17018 (2024) - 2023
- [j61]Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu:
Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 35 (2023) - [j60]Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li:
Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intell. Syst. 38(5): 28-36 (2023) - [j59]Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An:
Multi-agent dueling Q-learning with mean field and value decomposition. Pattern Recognit. 139: 109436 (2023) - [j58]Shuo Sun, Rundong Wang, Bo An:
Reinforcement Learning for Quantitative Trading. ACM Trans. Intell. Syst. Technol. 14(3): 44:1-44:29 (2023) - [j57]Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu:
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35(11): 11599-11609 (2023) - [j56]Shuo Sun, Molei Qin, Xinrun Wang, Bo An:
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. Trans. Mach. Learn. Res. 2023 (2023) - [j55]Hongxin Wei, Renchunzi Xie, Lei Feng, Bo Han, Bo An:
Deep Learning From Multiple Noisy Annotators as A Union. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10552-10562 (2023) - [c188]Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao:
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. AAAI 2023: 5823-5831 - [c187]Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An:
Partial-Label Regression. AAAI 2023: 7140-7147 - [c186]Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerný, Bo An:
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies. AAAI 2023: 11586-11594 - [c185]Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An:
Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS 2023: 8734-8748 - [c184]Qian Che, Wanyuan Wang, Fengchen Wang, Tianchi Qiao, Xiang Liu, Jiuchuan Jiang, Bo An, Yichuan Jiang:
Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning. AAMAS 2023: 543-551 - [c183]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. AAMAS 2023: 2424-2426 - [c182]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
A Learning Approach to Complex Contagion Influence Maximization. AAMAS 2023: 2622-2624 - [c181]Youzhi Zhang, Bo An, V. S. Subrahmanian:
Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans. AAMAS 2023: 2712-2714 - [c180]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR 2023 - [c179]Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An:
Population-size-Aware Policy Optimization for Mean-Field Games. ICLR 2023 - [c178]Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An:
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. ICLR 2023 - [c177]Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. ICML 2023: 5428-5448 - [c176]Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li:
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. ICML 2023: 36868-36886 - [c175]Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan:
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. ICML 2023: 38272-38285 - [c174]Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang:
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI 2023: 2581-2588 - [c173]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
Complex Contagion Influence Maximization: A Reinforcement Learning Approach. IJCAI 2023: 5531-5540 - [c172]Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An:
Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts. KDD 2023: 2109-2119 - [c171]Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An:
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. KDD 2023: 2874-2884 - [c170]Youzhi Zhang, Bo An, Venkatramanan Siva Subrahmanian:
Computing Optimal Nash Equilibria in Multiplayer Games. NeurIPS 2023 - [c169]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS 2023 - [c168]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. NeurIPS 2023 - [c167]Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou:
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. NeurIPS 2023 - [c166]Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An:
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. NeurIPS 2023 - [c165]Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An:
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning. NeurIPS 2023 - [c164]Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS 2023 - [c163]Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An:
State Regularized Policy Optimization on Data with Dynamics Shift. NeurIPS 2023 - [e7]Noa Agmon, Bo An, Alessandro Ricci, William Yeoh:
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29 May 2023 - 2 June 2023. ACM 2023, ISBN 978-1-4503-9432-1 [contents] - [i69]Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. CoRR abs/2301.11774 (2023) - [i68]Shuo Sun, Molei Qin, Xinrun Wang, Bo An:
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets. CoRR abs/2302.00586 (2023) - [i67]Pengdeng Li, Xinrun Wang, Shuxin Li, Hau Chan, Bo An:
Population-size-Aware Policy Optimization for Mean-Field Games. CoRR abs/2302.03364 (2023) - [i66]Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan:
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR abs/2302.03429 (2023) - [i65]Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR abs/2303.15488 (2023) - [i64]Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An:
State Regularized Policy Optimization on Data with Dynamics Shift. CoRR abs/2306.03552 (2023) - [i63]Longtao Zheng, Rundong Wang, Bo An:
Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control. CoRR abs/2306.07863 (2023) - [i62]Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An:
Partial-Label Regression. CoRR abs/2306.08968 (2023) - [i61]Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. CoRR abs/2306.10458 (2023) - [i60]Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan:
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. CoRR abs/2306.10944 (2023) - [i59]Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Jian Li, Jian Guo, Bo An:
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making. CoRR abs/2308.08918 (2023) - [i58]Linjian Meng, Zhenxing Ge, Wenbin Li, Bo An, Yang Gao:
Efficient Last-iterate Convergence Algorithms in Solving Games. CoRR abs/2308.11256 (2023) - [i57]Haochong Xia, Shuo Sun, Xinrun Wang, Bo An:
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. CoRR abs/2309.07708 (2023) - [i56]Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An:
AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. CoRR abs/2310.03984 (2023) - [i55]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR abs/2311.01106 (2023) - [i54]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. CoRR abs/2311.04550 (2023) - [i53]Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An:
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. CoRR abs/2311.10801 (2023) - [i52]Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang:
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR abs/2312.06443 (2023) - 2022
- [j54]Bo An, Shuo Sun, Rundong Wang:
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. IEEE Intell. Syst. 37(2): 23-26 (2022) - [j53]Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An:
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing 481: 182-192 (2022) - [j52]Lei Feng, Jun Huang, Senlin Shu, Bo An:
Regularized Matrix Factorization for Multilabel Learning With Missing Labels. IEEE Trans. Cybern. 52(5): 3710-3721 (2022) - [j51]Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long:
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022) - [j50]Jiuchuan Jiang, Kai Di, Bo An, Yichuan Jiang, Zhan Bu, Jie Cao:
Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets. IEEE Trans. Parallel Distributed Syst. 33(12): 3600-3615 (2022) - [c162]Wanqi Xue, Bo An, Chai Kiat Yeo:
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. AAAI 2022: 4646-4653 - [c161]Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. AAAI 2022: 8717-8725 - [c160]Yanchen Deng, Shufeng Kong, Bo An:
Pretrained Cost Model for Distributed Constraint Optimization Problems. AAAI 2022: 9331-9340 - [c159]Wanyuan Wang, Gerong Wu, Weiwei Wu, Yichuan Jiang, Bo An:
Online Collective Multiagent Planning by Offline Policy Reuse with Applications to City-Scale Mobility-on-Demand Systems. AAMAS 2022: 1364-1372 - [c158]Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo:
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. AAMAS 2022: 1418-1426 - [c157]Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An:
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. CIKM 2022: 1858-1867 - [c156]Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang:
Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. CIKM 2022: 3332-3341 - [c155]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR 2022: 11265-11274 - [c154]Tu Gu, Bo An:
A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas. DAI 2022: 15-28 - [c153]Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An:
Online Ad Hoc Teamwork under Partial Observability. ICLR 2022 - [c152]Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An:
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. ICML 2022: 7902-7918 - [c151]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML 2022: 23615-23630 - [c150]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. ICML 2022: 23631-23644 - [c149]Youzhi Zhang, Bo An, V. S. Subrahmanian:
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games. IJCAI 2022: 606-612 - [c148]Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. IJCNN 2022: 1-8 - [c147]Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama:
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. NeurIPS 2022 - [c146]Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An:
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. NeurIPS 2022 - [c145]Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou:
Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. NeurIPS 2022 - [c144]Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, Xin Miao, Bo An:
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE. NeurIPS 2022 - [c143]Jakub Cerný, Bo An, Allan N. Zhang:
Quantal Correlated Equilibrium in Normal Form Games. EC 2022: 210-239 - [e6]Zhongzhi Shi, Jean-Daniel Zucker, Bo An:
Intelligent Information Processing XI - 12th IFIP TC 12 International Conference, IIP 2022, Qingdao, China, May 27-30, 2022, Proceedings. IFIP Advances in Information and Communication Technology 643, Springer 2022, ISBN 978-3-031-03947-8 [contents] - [i51]Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. CoRR abs/2201.06001 (2022) - [i50]Wanqi Xue, Bo An, Chai Kiat Yeo:
NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. CoRR abs/2201.07224 (2022) - [i49]Shuo Sun, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An:
DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding. CoRR abs/2201.09058 (2022) - [i48]Xinrun Wang, Jakub Cerný, Shuxin Li, Chang Yang, Zhuyun Yin, Hau Chan, Bo An:
A Unified Perspective on Deep Equilibrium Finding. CoRR abs/2204.04930 (2022) - [i47]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. CoRR abs/2205.09310 (2022) - [i46]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. CoRR abs/2205.13718 (2022) - [i45]Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An:
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. CoRR abs/2206.02620 (2022) - [i44]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR abs/2206.08802 (2022) - [i43]Shuxin Li, Xinrun Wang, Jakub Cerný, Youzhi Zhang, Hau Chan, Bo An:
Offline Equilibrium Finding. CoRR abs/2207.05285 (2022) - [i42]Shuo Sun, Rundong Wang, Bo An:
Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach. CoRR abs/2207.07578 (2022) - [i41]Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An:
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. CoRR abs/2209.12000 (2022) - [i40]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR abs/2210.09646 (2022) - [i39]Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An:
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. CoRR abs/2212.02779 (2022) - [i38]Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li:
Logit Clipping for Robust Learning against Label Noise. CoRR abs/2212.04055 (2022) - 2021
- [j49]Yanhai Xiong, Bo An, Sarit Kraus:
Electric vehicle charging strategy study and the application on charging station placement. Auton. Agents Multi Agent Syst. 35(1): 3 (2021) - [j48]Yanchen Deng, Bo An:
Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function. Auton. Agents Multi Agent Syst. 35(2): 24 (2021) - [j47]Xiaoxuan Hu, Waiming Zhu, Huawei Ma, Bo An, Yanling Zhi, Yi Wu:
Orientational variable-length strip covering problem: A branch-and-price-based algorithm. Eur. J. Oper. Res. 289(1): 254-269 (2021) - [j46]Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An:
Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. IEEE Intell. Syst. 36(6): 32-41 (2021) - [j45]Wanyuan Wang, Zichen Dong, Bo An, Yichuan Jiang:
Toward Efficient City-Scale Patrol Planning Using Decomposition and Grafting. IEEE Trans. Intell. Transp. Syst. 22(2): 747-757 (2021) - [j44]Jiuchuan Jiang, Bo An, Yichuan Jiang, Chenyan Zhang, Zhan Bu, Jie Cao:
Group-Oriented Task Allocation for Crowdsourcing in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4417-4432 (2021) - [c142]Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. AAAI 2021: 626-633 - [c141]Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An:
Computing Quantal Stackelberg Equilibrium in Extensive-Form Games. AAAI 2021: 5260-5268 - [c140]David Milec, Jakub Cerný, Viliam Lisý, Bo An:
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. AAAI 2021: 5575-5583 - [c139]Youzhi Zhang, Bo An, Jakub Cerný:
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. AAAI 2021: 5813-5821 - [c138]Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An:
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. AAAI 2021: 10772-10780 - [c137]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. ICML 2021: 1272-1282 - [c136]Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama:
Pointwise Binary Classification with Pairwise Confidence Comparisons. ICML 2021: 3252-3262 - [c135]Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An:
Neural Regret-Matching for Distributed Constraint Optimization Problems. IJCAI 2021: 146-153 - [c134]Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An:
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. IJCAI 2021: 3663-3669 - [c133]Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo:
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. IJCAI 2021: 3713-3720 - [c132]Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu:
Multiple-Instance Learning from Similar and Dissimilar Bags. KDD 2021: 374-382 - [c131]Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An:
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. NeurIPS 2021: 7978-7992 - [c130]Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich:
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. NeurIPS 2021: 23049-23062 - [c129]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-aware influence maximization: A reinforcement learning approach. UAI 2021: 1535-1545 - [i37]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. CoRR abs/2102.06879 (2021) - [i36]Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich:
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. CoRR abs/2102.08159 (2021) - [i35]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR abs/2102.08577 (2021) - [i34]Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. CoRR abs/2102.09381 (2021) - [i33]Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An:
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. CoRR abs/2105.08440 (2021) - [i32]Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo:
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. CoRR abs/2106.00897 (2021) - [i31]Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. CoRR abs/2106.06152 (2021) - [i30]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach. CoRR abs/2106.07039 (2021) - [i29]Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Multi-Class Classification from Single-Class Data with Confidences. CoRR abs/2106.08864 (2021) - [i28]Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An:
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. CoRR abs/2106.10891 (2021) - [i27]Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo:
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. CoRR abs/2108.03803 (2021) - [i26]Shuo Sun, Rundong Wang, Bo An:
Reinforcement Learning for Quantitative Trading. CoRR abs/2109.13851 (2021) - [i25]Dong Hao, Qi Shi, Jinyan Su, Bo An:
Cooperation, Retaliation and Forgiveness in Revision Games. CoRR abs/2112.02271 (2021) - [i24]Yanchen Deng, Shufeng Kong, Bo An:
Pretrained Cost Model for Distributed Constraint Optimization Problems. CoRR abs/2112.04187 (2021) - 2020
- [j43]Wanyuan Wang, Bo An, Yichuan Jiang:
Optimal Spot-Checking for Improving the Evaluation Quality of Crowdsourcing: Application to Peer Grading Systems. IEEE Trans. Comput. Soc. Syst. 7(4): 940-955 (2020) - [j42]Xiaobo Ma, Bo An, Mengchen Zhao, Xiapu Luo, Lei Xue, Zhenhua Li, Tony T. N. Miu, Xiaohong Guan:
Randomized Security Patrolling for Link Flooding Attack Detection. IEEE Trans. Dependable Secur. Comput. 17(4): 795-812 (2020) - [j41]Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin:
Context-Aware Reliable Crowdsourcing in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. 50(2): 617-632 (2020) - [c128]Youzhi Zhang, Bo An:
Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. AAAI 2020: 2318-2325 - [c127]Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li:
We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. ICAPS 2020: 499-507 - [c126]Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. CVPR 2020: 13723-13732 - [c125]Feifei Lin, Xu He, Bo An:
Context-Aware Multi-agent Coordination with Loose Couplings and Repeated Interaction. DAI 2020: 103-125 - [c124]Yanchen Deng, Bo An, Zongmin Qiu, Liuxi Li, Yong Wang, Yinghui Xu:
Battery Management for Automated Warehouses via Deep Reinforcement Learning. DAI 2020: 126-139 - [c123]Yoav Ben Yaakov, Joachim Meyer, Xinrun Wang, Bo An:
User detection of threats with different security measures. ICHMS 2020: 1-6 - [c122]Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An:
Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR 2020 - [c121]Lei Feng, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama:
Learning with Multiple Complementary Labels. ICML 2020: 3072-3081 - [c120]Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich:
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. ICML 2020: 9908-9918 - [c119]Youzhi Zhang, Bo An:
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games. ICML 2020: 11033-11043 - [c118]Yanchen Deng, Bo An:
Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities. IJCAI 2020: 31-38 - [c117]Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An:
Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium. IJCAI 2020: 246-253 - [c116]Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An:
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020: 2206-2212 - [c115]Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich:
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. IJCAI 2020: 3131-3138 - [c114]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. NeurIPS 2020 - [c113]Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang:
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. RecSys 2020: 63-72 - [c112]Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang:
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys 2020: 210-219 - [c111]Jakub Cerný, Branislav Bosanský, Bo An:
Finite State Machines Play Extensive-Form Games. EC 2020: 509-533 - [c110]Xu He, Haipeng Chen, Bo An:
Learning Behaviors with Uncertain Human Feedback. UAI 2020: 131-140 - [e5]Amal El Fallah Seghrouchni, Gita Sukthankar, Bo An, Neil Yorke-Smith:
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020. International Foundation for Autonomous Agents and Multiagent Systems 2020, ISBN 978-1-4503-7518-4 [contents] - [i23]Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating noisy labels by agreement: A joint training method with co-regularization. CoRR abs/2003.02752 (2020) - [i22]Xu He, Haipeng Chen, Bo An:
Learning Behaviors with Uncertain Human Feedback. CoRR abs/2006.04201 (2020) - [i21]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. CoRR abs/2007.08929 (2020) - [i20]Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang:
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. CoRR abs/2008.09368 (2020) - [i19]Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang:
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. CoRR abs/2008.09369 (2020) - [i18]Youzhi Zhang, Bo An:
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. CoRR abs/2009.12629 (2020) - [i17]David Milec, Jakub Cerný, Viliam Lisý, Bo An:
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. CoRR abs/2009.14521 (2020) - [i16]Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama:
Pointwise Binary Classification with Pairwise Confidence Comparisons. CoRR abs/2010.01875 (2020) - [i15]Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long:
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. CoRR abs/2012.00925 (2020) - [i14]Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe:
Efficient Reservoir Management through Deep Reinforcement Learning. CoRR abs/2012.03822 (2020) - [i13]Hongxin Wei, Lei Feng, Rundong Wang, Bo An:
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. CoRR abs/2012.05273 (2020) - [i12]Runsheng Yu, Yu Gong, Xu He, Bo An, Yu Zhu, Qingwen Liu, Wenwu Ou:
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. CoRR abs/2012.11842 (2020) - [i11]Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. CoRR abs/2012.12620 (2020)
2010 – 2019
- 2019
- [j40]Xiaoxuan Hu, Waiming Zhu, Bo An, Peng Jin, Wei Xia:
A branch and price algorithm for EOS constellation imaging and downloading integrated scheduling problem. Comput. Oper. Res. 104: 74-89 (2019) - [j39]Xiaobo Ma, Jianfeng Li, Yajuan Tang, Bo An, Xiaohong Guan:
Protecting internet infrastructure against link flooding attacks: A techno-economic perspective. Inf. Sci. 479: 486-502 (2019) - [j38]Jiang Rong, Tao Qin, Bo An:
Competitive Cloud Pricing for Long-Term Revenue Maximization. J. Comput. Sci. Technol. 34(3): 645-656 (2019) - [j37]Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang, Bo An, Zhifeng Hao, Bing Chen:
Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Trans. Mob. Comput. 18(6): 1419-1432 (2019) - [j36]Jiuchuan Jiang, Bo An, Yichuan Jiang, Peng Shi, Zhan Bu, Jie Cao:
Batch Allocation for Tasks with Overlapping Skill Requirements in Crowdsourcing. IEEE Trans. Parallel Distributed Syst. 30(8): 1722-1737 (2019) - [c109]Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An:
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. AAAI 2019: 970-977 - [c108]Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings:
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. AAAI 2019: 1262-1269 - [c107]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI 2019: 2020-2028 - [c106]Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. AAAI 2019: 3542-3549 - [c105]Lei Feng, Bo An, Shuo He:
Collaboration Based Multi-Label Learning. AAAI 2019: 3550-3557 - [c104]Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. AAMAS 2019: 16-24 - [c103]Wanyuan Wang, Zichen Dong, Bo An, Yichuan Jiang:
Efficient City-Scale Patrolling Using Decomposition and Grafting. AAMAS 2019: 2259-2261 - [c102]Yoav Ben Yaakov, Xinrun Wang, Joachim Meyer, Bo An:
Choosing Protection: User Investments in Security Measures for Cyber Risk Management. GameSec 2019: 33-44 - [c101]Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An:
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec 2019: 542-562 - [c100]Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye:
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM 2019: 61-70 - [c99]Lei Feng, Bo An:
Partial Label Learning by Semantic Difference Maximization. IJCAI 2019: 2294-2300 - [c98]Wei Qiu, Haipeng Chen, Bo An:
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. IJCAI 2019: 4568-4574 - [c97]Xinrun Wang, Bo An, Hau Chan:
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity. IJCAI 2019: 6020-6027 - [c96]Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge:
Manipulating a Learning Defender and Ways to Counteract. NeurIPS 2019: 8272-8281 - [c95]Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings:
Social Cost Guarantees in Smart Route Guidance. PRICAI (2) 2019: 482-495 - [c94]Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao:
Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. WWW 2019: 616-626 - [i10]Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. CoRR abs/1902.03045 (2019) - [i9]Lei Feng, Bo An, Shuo He:
Collaboration based Multi-Label Learning. CoRR abs/1902.03047 (2019) - [i8]Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. CoRR abs/1903.00900 (2019) - [i7]Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge:
Manipulating a Learning Defender and Ways to Counteract. CoRR abs/1905.11759 (2019) - [i6]Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings:
Social Cost Guarantees in Smart Route Guidance. CoRR abs/1906.06617 (2019) - [i5]Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich:
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. CoRR abs/1911.06992 (2019) - [i4]Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An:
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR abs/1911.07712 (2019) - [i3]Lei Feng, Bo An:
Learning from Multiple Complementary Labels. CoRR abs/1912.12927 (2019) - 2018
- [j35]Yue Yin, Yevgeniy Vorobeychik, Bo An, Noam Hazon:
Optimal defense against election control by deleting voter groups. Artif. Intell. 259: 32-51 (2018) - [j34]Bo An:
Predicting Human Decision-Making: From Prediction to Action, Ariel Rosenfeld, Sarit Kraus. Morgan & Claypool Publishers (2018). Artif. Intell. 263: 1-2 (2018) - [j33]Xiaobo Ma, Yihui He, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan:
Camera Placement Based on Vehicle Traffic for Better City Security Surveillance. IEEE Intell. Syst. 33(4): 49-61 (2018) - [j32]Jinhua Song, Hao Wang, Yang Gao, Bo An:
Active learning with confidence-based answers for crowdsourcing labeling tasks. Knowl. Based Syst. 159: 244-258 (2018) - [j31]Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao:
Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Trans. Auton. Adapt. Syst. 13(2): 8:1-8:32 (2018) - [j30]Bo An, Nicholas R. Jennings, Zhenhui Jessie Li:
ACM TIST Special Issue on Urban Intelligence. ACM Trans. Intell. Syst. Technol. 9(3): 23:1-23:4 (2018) - [j29]Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan:
Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. IEEE Trans. Intell. Transp. Syst. 19(8): 2493-2504 (2018) - [c93]Xinrun Wang, Bo An, Martin Strobel, Fookwai Kong:
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters. AAAI 2018: 208-215 - [c92]Haipeng Chen, Bo An, Guni Sharon, Josiah P. Hanna, Peter Stone, Chunyan Miao, Yeng Chai Soh:
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. AAAI 2018: 757-765 - [c91]Wanyuan Wang, Bo An, Yichuan Jiang:
Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems. AAAI 2018: 833-840 - [c90]Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan:
Data Poisoning Attacks on Multi-Task Relationship Learning. AAAI 2018: 2628-2635 - [c89]Jiang Rong, Tao Qin, Bo An:
Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. AAAI 2018: 4718-4726 - [c88]Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An:
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. AAAI 2018: 4767-4775 - [c87]Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An:
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS 2018: 919-927 - [c86]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
Inducible Equilibrium for Security Games. AAMAS 2018: 1947-1949 - [c85]Lei Feng, Bo An:
Leveraging Latent Label Distributions for Partial Label Learning. IJCAI 2018: 2107-2113 - [c84]Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu:
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. IJCAI 2018: 3940-3946 - [c83]Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe:
Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI 2018: 5494-5501 - [e4]Yves Demazeau, Bo An, Javier Bajo, Antonio Fernández-Caballero:
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. Lecture Notes in Computer Science 10978, Springer 2018, ISBN 978-3-319-94579-8 [contents] - [i2]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR abs/1811.03823 (2018) - 2017
- [j28]Galit Haim, Ya'akov (Kobi) Gal, Bo An, Sarit Kraus:
Human-computer negotiation in a three player market setting. Artif. Intell. 246: 34-52 (2017) - [j27]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux:
PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Mag. 38(1): 23-36 (2017) - [j26]Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang:
Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. AI Mag. 38(3): 102-105 (2017) - [j25]Jiarui Gan, Bo An:
Game-Theoretic Considerations for Optimizing Taxi System Efficiency. IEEE Intell. Syst. 32(3): 46-52 (2017) - [j24]Jiuchuan Jiang, Peng Shi, Bo An, Jianyong Yu, Chongjun Wang:
Measuring the social influences of scientist groups based on multiple types of collaboration relations. Inf. Process. Manag. 53(1): 1-20 (2017) - [j23]Haipeng Chen, Bo An, Dusit Niyato, Yeng Chai Soh, Chunyan Miao:
Workload Factoring and Resource Sharing via Joint Vertical and Horizontal Cloud Federation Networks. IEEE J. Sel. Areas Commun. 35(3): 557-570 (2017) - [j22]Wanyuan Wang, Jiuchuan Jiang, Bo An, Yichuan Jiang, Bing Chen:
Toward Efficient Team Formation for Crowdsourcing in Noncooperative Social Networks. IEEE Trans. Cybern. 47(12): 4208-4222 (2017) - [j21]Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian:
Data-Driven Frequency-Based Airline Profit Maximization. ACM Trans. Intell. Syst. Technol. 8(4): 61:1-61:28 (2017) - [c82]Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee:
POI2Vec: Geographical Latent Representation for Predicting Future Visitors. AAAI 2017: 102-108 - [c81]Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch:
Security Games on a Plane. AAAI 2017: 530-536 - [c80]Qingyu Guo, Bo An, Branislav Bosanský, Christopher Kiekintveld:
Strategic Information Revelation and Commitment in Security Games. AAAI Workshops 2017 - [c79]Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An:
Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. AAAI 2017: 593-599 - [c78]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Revenue Maximization for Finitely Repeated Ad Auctions. AAAI 2017: 663-669 - [c77]Xinrun Wang, Qingyu Guo, Bo An:
Stop Nuclear Smuggling Through Efficient Container Inspection. AAMAS 2017: 669-677 - [c76]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Pricing Optimization for Selling Reusable Resources. AAMAS 2017: 1719-1721 - [c75]Li Pan, Bo An, Shijun Liu, Lizhen Cui:
Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments. ICWS 2017: 154-163 - [c74]Qingyu Guo, Bo An, Long Tran-Thanh:
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. IJCAI 2017: 3682-3690 - [c73]Qingyu Guo, Bo An, Branislav Bosanský, Christopher Kiekintveld:
Comparing Strategic Secrecy and Stackelberg Commitment in Security Games. IJCAI 2017: 3691-3699 - [c72]Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang:
Defending Against Man-In-The-Middle Attack in Repeated Games. IJCAI 2017: 3742-3748 - [c71]Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings:
Optimal Escape Interdiction on Transportation Networks. IJCAI 2017: 3936-3944 - [c70]Mengchen Zhao, Bo An, Wei Gao, Teng Zhang:
Efficient Label Contamination Attacks Against Black-Box Learning Models. IJCAI 2017: 3945-3951 - [c69]Bo An:
Game Theoretic Analysis of Security and Sustainability. IJCAI 2017: 5111-5115 - [e3]Stefan Rass, Bo An, Christopher Kiekintveld, Fei Fang, Stefan Schauer:
Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Vienna, Austria, October 23-25, 2017, Proceedings. Lecture Notes in Computer Science 10575, Springer 2017, ISBN 978-3-319-68710-0 [contents] - [e2]Bo An, Ana L. C. Bazzan, João Leite, Serena Villata, Leendert W. N. van der Torre:
PRIMA 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings. Lecture Notes in Computer Science 10621, Springer 2017, ISBN 978-3-319-69130-5 [contents] - [i1]Xiaobo Ma, Yihui He, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan:
Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance. CoRR abs/1705.08508 (2017) - 2016
- [j20]Yuan Liu, Jie Zhang, Bo An, Sandip Sen:
A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems. Auton. Agents Multi Agent Syst. 30(4): 581-600 (2016) - [j19]Bo An, Nicola Gatti, Victor R. Lesser:
Alternating-offers bargaining in one-to-many and many-to-many settings. Ann. Math. Artif. Intell. 77(1-2): 67-103 (2016) - [j18]Shifei Ding, Zhongzhi Shi, Dacheng Tao, Bo An:
Recent advances in Support Vector Machines. Neurocomputing 211: 1-3 (2016) - [c68]Zhen Wang, Yue Yin, Bo An:
Computing Optimal Monitoring Strategy for Detecting Terrorist Plots. AAAI 2016: 637-643 - [c67]Mengchen Zhao, Bo An, Christopher Kiekintveld:
Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. AAAI 2016: 658-665 - [c66]Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen:
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. AAAI 2016: 2258-2264 - [c65]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux:
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI 2016: 3966-3973 - [c64]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe:
Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI 2016: 4355-4356 - [c63]Qingyu Guo, Bo An, Yevgeniy Vorobeychik, Long Tran-Thanh, Jiarui Gan, Chunyan Miao:
Coalitional Security Games. AAMAS 2016: 159-167 - [c62]Jinhua Song, Yang Gao, Hao Wang, Bo An:
Measuring the Distance Between Finite Markov Decision Processes. AAMAS 2016: 468-476 - [c61]Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Yeng Chai Soh:
Optimal Pricing for Efficient Electric Vehicle Charging Station Management. AAMAS 2016: 749-757 - [c60]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Optimal Sample Size for Adword Auctions: (Extended Abstract). AAMAS 2016: 1459-1460 - [c59]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Modeling Bounded Rationality for Sponsored Search Auctions. ECAI 2016: 515-523 - [c58]Yue Yin, Bo An:
Efficient Resource Allocation for Protecting Coral Reef Ecosystems. IJCAI 2016: 531-537 - [c57]Yue Yin, Yevgeniy Vorobeychik, Bo An, Noam Hazon:
Optimally Protecting Elections. IJCAI 2016: 538-545 - [c56]Qingyu Guo, Bo An, Yair Zick, Chunyan Miao:
Optimal Interdiction of Illegal Network Flow. IJCAI 2016: 2507-2513 - [c55]Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian:
MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. KDD 2016: 421-430 - 2015
- [j17]Yujing Hu, Yang Gao, Bo An:
Multiagent Reinforcement Learning With Unshared Value Functions. IEEE Trans. Cybern. 45(4): 647-662 (2015) - [j16]Yujing Hu, Yang Gao, Bo An:
Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer. IEEE Trans. Cybern. 45(7): 1289-1302 (2015) - [c54]Jiarui Gan, Bo An:
Game Theoretic Considerations for Optimizing Efficiency of Taxi Systems. AAAI Workshop: Computational Sustainability 2015 - [c53]Jiarui Gan, Bo An, Yevgeniy Vorobeychik:
Security Games with Protection Externalities. AAAI 2015: 914-920 - [c52]Jiarui Gan, Bo An, Chunyan Miao:
Optimizing Efficiency of Taxi Systems: Scaling-up and Handling Arbitrary Constraints. AAMAS 2015: 523-531 - [c51]Yujing Hu, Yang Gao, Bo An:
Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction. AAMAS 2015: 753-761 - [c50]Jiang Rong, Tao Qin, Bo An:
Computing Quantal Response Equilibrium for Sponsored Search Auctions. AAMAS 2015: 1803-1804 - [c49]Matthias Chan Yong Shun, Miao-Chun Yan, Bo An, Cyril Leung:
Modeling Learner's Emotions with PAD. ICALT 2015: 49-51 - [c48]Matthias Chan Yong Shun, Miao-Chun Yan, Zhiqi Shen, Bo An:
Learning Personality Modeling for Regulating Learning Feedback. ICALT 2015: 355-357 - [c47]Yue Yin, Haifeng Xu, Jiarui Gan, Bo An, Albert Xin Jiang:
Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs. IJCAI 2015: 681-688 - [c46]Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan:
Optimal Electric Vehicle Charging Station Placement. IJCAI 2015: 2662-2668 - [e1]Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu:
Agents and Data Mining Interaction - 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9145, Springer 2015, ISBN 978-3-319-20229-7 [contents] - 2014
- [j15]Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe:
An extended study on multi-objective security games. Auton. Agents Multi Agent Syst. 28(1): 31-71 (2014) - [j14]Han Yu, Zhiqi Shen, Chunyan Miao, Bo An, Cyril Leung:
Filtering trust opinions through reinforcement learning. Decis. Support Syst. 66: 102-113 (2014) - [c45]Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier:
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI 2014: 756-762 - [c44]Yue Yin, Bo An, Manish Jain:
Game-Theoretic Resource Allocation for Protecting Large Public Events. AAAI 2014: 826-834 - [c43]Yevgeniy Vorobeychik, Bo An, Milind Tambe, Satinder Singh:
Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Games. ICAPS 2014 - [c42]Han Yu, Chunyan Miao, Bo An, Zhiqi Shen, Cyril Leung:
Reputation-aware task allocation for human trustees. AAMAS 2014: 357-364 - [c41]Yuan Liu, Jie Zhang, Bo An, Sandip Sen:
A practical robustness measure of incentive mechanisms. AAMAS 2014: 1379-1380 - [c40]Qiong Wu, Chunyan Miao, Bo An:
Modeling curiosity for virtual learning companions. AAMAS 2014: 1401-1402 - [c39]Jiarui Gan, Bo An, Chunyan Miao:
An efficient algorithm for taxi system optimization. AAMAS 2014: 1465-1466 - [c38]Yue Yin, Bo An, Manish Jain:
Dynamic allocation of security resources for protecting public events. AAMAS 2014: 1473-1474 - [c37]Galit Haim, Ya'akov (Kobi) Gal, Sarit Kraus, Bo An:
Human-Computer Negotiation in Three-Player Market Settings. ECAI 2014: 417-422 - [c36]Ya'akov (Kobi) Gal, Avi Rosenfeld, Sarit Kraus, Michele Gelfand, Bo An, Jun Lin:
A New Paradigm for the Study of Corruption in Different Cultures. SBP 2014: 261-268 - 2013
- [j13]Bo An, Nicola Gatti, Victor R. Lesser:
Bilateral bargaining with one-sided uncertain reserve prices. Auton. Agents Multi Agent Syst. 26(3): 420-455 (2013) - [j12]Bo An, Fernando Ordóñez, Milind Tambe, Eric Shieh, Rong Yang, Craig Baldwin, Joseph DiRenzo, Kathryn Moretti, Ben Maule, Garrett Meyer:
A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard. Interfaces 43(5): 400-420 (2013) - [c35]Bo An, Matthew Brown, Yevgeniy Vorobeychik, Milind Tambe:
Security games with surveillance cost and optimal timing of attack execution. AAMAS 2013: 223-230 - [c34]Han Yu, Zhiqi Shen, Chunyan Miao, Bo An:
A reputation-aware decision-making approach for improving the efficiency of crowdsourcing systems. AAMAS 2013: 1315-1316 - [c33]Han Yu, Chunyan Miao, Bo An, Cyril Leung, Victor R. Lesser:
A Reputation Management Approach for Resource Constrained Trustee Agents. IJCAI 2013: 418-424 - [c32]Jiarui Gan, Bo An, Haizhong Wang, Xiaoming Sun, Zhongzhi Shi:
Optimal Pricing for Improving Efficiency of Taxi Systems. IJCAI 2013: 2811-2818 - [p2]Manish Jain, Bo An, Milind Tambe:
Security Games Applied to Real-World: Research Contributions and Challenges. Moving Target Defense 2013: 15-39 - 2012
- [j11]Manish Jain, Bo An, Milind Tambe:
An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Safety. AI Mag. 33(3): 14-28 (2012) - [j10]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:
Reports of the AAAI 2012 Spring Symposia. AI Mag. 33(3): 109-114 (2012) - [j9]Bo An, Eric Shieh, Milind Tambe, Rong Yang, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer:
PROTECT - A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard. AI Mag. 33(4): 96-110 (2012) - [c31]Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik:
Security Games with Limited Surveillance. AAAI 2012: 1241-1248 - [c30]Eric Anyung Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer:
PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States. AAAI 2012: 2173-2179 - [c29]Bo An, David Kempe, Christopher Kiekintveld, Eric Anyung Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik:
Security Games with Limited Surveillance: An Initial Report. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c28]Milind Tambe, Bo An:
Getting Started on a Real-World Challenge Problem in Computational Game Theory and Beyond. AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge 2012 - [c27]Milind Tambe, Bo An:
Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c26]Yevgeniy Vorobeychik, Bo An, Milind Tambe:
Adversarial Patrolling Games. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c25]Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer:
PROTECT: a deployed game theoretic system to protect the ports of the United States. AAMAS 2012: 13-20 - [c24]Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe:
Multi-objective optimization for security games. AAMAS 2012: 863-870 - [c23]Yevgeniy Vorobeychik, Bo An, Milind Tambe:
Adversarial patrolling games. AAMAS 2012: 1307-1308 - [c22]Han Yu, Zhiqi Shen, Chunyan Miao, Bo An:
Challenges and Opportunities for Trust Management in Crowdsourcing. IAT 2012: 486-493 - [c21]Han Yu, Zhiqi Shen, Bo An:
An Adaptive Witness Selection Method for Reputation-Based Trust Models. PRIMA 2012: 184-198 - [p1]Bo An, Victor R. Lesser:
Yushu: A Heuristic-Based Agent for Automated Negotiating Competition. New Trends in Agent-Based Complex Automated Negotiations 2012: 145-149 - 2011
- [j8]Bo An, Victor R. Lesser, Kwang Mong Sim:
Strategic agents for multi-resource negotiation. Auton. Agents Multi Agent Syst. 23(1): 114-153 (2011) - [j7]Bo An, James Pita, Eric Anyung Shieh, Milind Tambe, Christopher Kiekintveld, Janusz Marecki:
GUARDS and PROTECT: next generation applications of security games. SIGecom Exch. 10(1): 31-34 (2011) - [c20]Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld:
Refinement of Strong Stackelberg Equilibria in Security Games. AAAI 2011: 587-593 - [c19]Bo An, Manish Jain, Milind Tambe, Christopher Kiekintveld:
Mixed-Initiative Optimization in Security Games: A Preliminary Report. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration 2011 - [c18]Bo An, Victor R. Lesser, David Westbrook, Michael Zink:
Agent-mediated multi-step optimization for resource allocation in distributed sensor networks. AAMAS 2011: 609-616 - [c17]Bo An, Victor R. Lesser:
Negotiation over decommitment penalty. AAMAS 2011: 1101-1102 - [c16]Bo An, Milind Tambe:
Game Theory for Security: An Important Challenge for Multiagent Systems. EUMAS 2011: 17-30 - 2010
- [j6]Bo An, Victor R. Lesser:
Characterizing Contract-Based Multiagent Resource Allocation in Networks. IEEE Trans. Syst. Man Cybern. Part B 40(3): 575-586 (2010) - [c15]Bo An, Victor R. Lesser, David E. Irwin, Michael Zink:
Automated negotiation with decommitment for dynamic resource allocation in cloud computing. AAMAS 2010: 981-988 - [c14]Bo An, Nicola Gatti, Victor R. Lesser:
Searching for pure strategy equilibria in bilateral bargaining with one-sided uncertainty. AAMAS 2010: 1607-1608 - [c13]Lianggui Tang, Bo An:
Multi-Agent Asynchronous Negotiation Based on Time-Delay. LSMS/ICSEE (1) 2010: 256-269
2000 – 2009
- 2009
- [j5]Kwang Mong Sim, Bo An:
Evolving Best-Response Strategies for Market-Driven Agents Using Aggregative Fitness GA. IEEE Trans. Syst. Man Cybern. Part C 39(3): 284-298 (2009) - [c12]Bo An, Nicola Gatti, Victor R. Lesser:
Bilateral Bargaining with One-Sided Two-Type Uncertainty. IAT 2009: 403-410 - [c11]Bo An, Nicola Gatti, Victor R. Lesser:
Extending Alternating-Offers Bargaining in One-to-Many and Many-to-Many Settings. IAT 2009: 423-426 - 2008
- [c10]Bo An, Fred Douglis, Fan Ye:
Heuristics for negotiation schedules in multi-plan optimization. AAMAS (2) 2008: 551-558 - [c9]Bo An, Victor R. Lesser, Kwang Mong Sim:
Decommitment in multi-resource negotiation. AAMAS (3) 2008: 1553-1556 - 2007
- [j4]Bo An, Zhiqi Shen, Chunyan Miao, Daijie Cheng:
Algorithms for Transitive Dependence-Based Coalition Formation. IEEE Trans. Ind. Informatics 3(3): 234-245 (2007) - [c8]Bo An, Kwang Mong Sim, Victor R. Lesser:
Evolving the best-response strategy to decide when to make a proposal. IEEE Congress on Evolutionary Computation 2007: 1035-1042 - [c7]Michael Krainin, Bo An, Victor R. Lesser:
An Application of Automated Negotiation to Distributed Task Allocation. IAT 2007: 138-145 - [c6]Bo An, Chunyan Miao, Zhiqi Shen:
Market Based Resource Allocation with Incomplete Information. IJCAI 2007: 1193-1198 - [c5]Lianggui Tang, Bo An, Daijie Cheng:
An Agent Reinforcement Learning Model Based on Neural Networks. LSMS (1) 2007: 117-127 - 2006
- [j3]Chunyan Miao, Jianshu Weng, Angela Goh, Zhiqi Shen, Bo An:
Fuzzy cognitive maps for dynamic grid service negotiation. Multiagent Grid Syst. 2(2): 101-114 (2006) - [j2]Bo An, Kwang Mong Sim, Liang Gui Tang, Shuang Qing Li, Dai Jie Cheng:
Continuous-Time Negotiation Mechanism for Software Agents. IEEE Trans. Syst. Man Cybern. Part B 36(6): 1261-1272 (2006) - 2005
- [j1]Bo An, Chunyan Miao, Daijie Cheng:
A Coalition Formation Framework Based on Transitive Dependence. IEICE Trans. Inf. Syst. 88-D(12): 2672-2680 (2005) - [c4]Bo An, Chunyan Miao, Zhiqi Shen, Yuan Miao, Daijie Cheng:
Transitive Dependence Based Formation of Virtual Organizations. CIS (1) 2005: 375-380 - [c3]Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, Daijie Cheng:
Toward Transitive Dependence in MAS. IDEAL 2005: 486-493 - [c2]Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, Daijie Cheng:
A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation. IDEAL 2005: 507-514 - 2004
- [c1]Bo An, Lianggui Tang, Shuangqing Li, Daijie Cheng:
A Negotiation Strategy based on Uncompromising Degree. IAT 2004: 357-360
Coauthor Index
[j65] [j63] [c216] [c215] [c207] [c205] [c191] [i97] [i95] [i79] [i73] [j57] [j55] [c187] [c185] [c177] [c176] [c169] [c168] [c164] [i65] [i62] [i61] [i55] [i54] [j52] [j51] [c161] [c151] [c150] [c147] [i51] [i47] [i44] [i38] [j46] [c137] [c136] [c132] [i37] [i31] [i29] [c126] [c121] [c116] [c114] [i23] [i21] [i16] [i15] [i13] [c106] [c105] [c99] [i10] [i9] [i3] [c85]
[j66] [c219] [c218] [c217] [c214] [c213] [c210] [c208] [c206] [c201] [c199] [c198] [c192] [c191] [c189] [i97] [i94] [i93] [i91] [i90] [i89] [i88] [i86] [i84] [i79] [i78] [i77] [i74] [j56] [c186] [c179] [c175] [c172] [c166] [c165] [i68] [i67] [i60] [i57] [i53] [c155] [i48] [i43] [c135] [c134] [c133] [c130] [i36] [i35] [i33] [i32] [c127] [c123] [c122] [c112] [i19] [i14] [c102] [c101] [c97] [i4] [c93] [c77]
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last updated on 2025-02-18 02:17 CET by the dblp team
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