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Bo An 0001
Person information
- affiliation: Nanyang Technological University, Singapore
Other persons with the same name
- Bo An 0002
— 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
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2020 – today
- 2024
- [j67]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) - [j66]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) - [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) - [c210]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 - [c209]Haochong Xia, Shuo Sun, Xinrun Wang, Bo An:
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. AAAI 2024: 15996-16004 - [c208]Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An:
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI 2024: 17469-17476 - [c207]Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An:
Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS 2024: 4816-4824 - [c206]Yuzhou Cao, Lei Feng, Bo An:
Consistent Hierarchical Classification with A Generalized Metric. AISTATS 2024: 4825-4833 - [c205]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 - [c204]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. AAMAS 2024: 2552-2554 - [c203]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 - [c202]Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu:
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR 2024 - [c201]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 - [c200]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 - [c199]Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng:
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR 2024 - [c198]Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An:
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. ICLR 2024 - [c197]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 - [c196]Youzhi Zhang, Bo An, Daniel Dajun Zeng:
DAG-Based Column Generation for Adversarial Team Games. ICML 2024 - [c195]Lang Feng, Pengjie Gu, Bo An, Gang Pan:
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. ICML 2024 - [c194]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 - [c193]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 - [c192]Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li:
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. ICML 2024 - [c191]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 - [c190]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 - [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 - [i88]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) - [i87]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) - [i86]Qi Wei, Lei Feng, Haobo Wang, Bo An:
Debiased Sample Selection for Combating Noisy Labels. CoRR abs/2401.13360 (2024) - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. CoRR abs/2405.03518 (2024) - [i76]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) - [i75]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) - [i74]Lang Feng, Pengjie Gu, Bo An, Gang Pan:
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree. CoRR abs/2405.17879 (2024) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - 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
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