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Haipeng Chen
Haipeng Chen
Assistant professor of data science, William & Mary
Verified email at wm.edu - Homepage
Title
Cited by
Cited by
Year
DCL-AIM: Decentralized coordination learning of autonomous intersection management for connected and automated vehicles
Y Wu, H Chen, F Zhu
Transportation Research Part C: Emerging Technologies 103, 246-260, 2019
1082019
Using Twitter to Predict When Vulnerabilities will be Exploited
H Chen, R Liu, N Park, VS Subrahmanian
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
422019
Workload factoring and resource sharing via joint vertical and horizontal cloud federation networks
H Chen, B An, D Niyato, YC Soh, C Miao
IEEE Journal on Selected Areas in Communications 35 (3), 557-570, 2017
312017
Dyetc: Dynamic electronic toll collection for traffic congestion alleviation
H Chen, B An, G Sharon, J Hanna, P Stone, C Miao, Y Soh
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
252018
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data
H Chen, S Jajodia, J Liu, N Park, V Sokolov, VS Subrahmanian
IJCAI 2019, 2019
242019
MAP: Frequency-based maximization of airline profits based on an ensemble forecasting approach
B An, H Chen, N Park, VS Subrahmanian
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
232016
VEST: A System for Vulnerability Exploit Scoring & Timing
H Chen, J Liu, R Liu, N Park, VS Subrahmanian
IJCAI 2019, 2019
192019
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks
W Qiu, H Chen, B An
IJCAI 2019, 2019
192019
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms
H Chen, Y Jiao, ZT Qin, X Tang, H Li, B An, H Zhu, J Ye
Proceedings of the 19th IEEE International Conference on Data Mining (ICDM’19), 2019
172019
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge
Y Xiong*, H Chen*, M Zhao, B An, (*equal contribution)
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
162018
Learning mdps from features: Predict-then-optimize for sequential decision making by reinforcement learning
K Wang, S Shah, H Chen, A Perrault, F Doshi-Velez, M Tambe
Advances in Neural Information Processing Systems 34, 8795-8806, 2021
152021
Robust Reinforcement Learning Under Minimax Regret for Green Security
L Xu, A Perrault, F Fang, H Chen, M Tambe
UAI 2021, 2021
152021
Data-driven frequency-based airline profit maximization
B An, H Chen, N Park, VS Subrahmanian
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (4), 1-28, 2017
142017
VASE: A Twitter-based Vulnerability Analysis and Score Engine
H Chen, J Liu, R Liu, N Park, VS Subrahmanian
Proceedings of the 19th IEEE International Conference on Data Mining (ICDM'19), 2019
132019
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
H Chen, W Qiu, HC Ou, B An, M Tambe
UAI 2021, 2021
82021
Disclose or exploit? A game-theoretic approach to strategic decision making in cyber-warfare
H Chen, Q Han, S Jajodia, R Lindelauf, VS Subrahmanian, Y Xiong
IEEE Systems Journal 14 (3), 3779-3790, 2020
72020
Robust Lock-Down Optimization for COVID-19 Policy Guidance
A Bhardwaj, HC Ou, H Chen, S Jabbari, M Tambe, R Panicker, A Raval
AAAI Fall Symposium, 2020
72020
Learning Behaviors with Uncertain Human Feedback
X He, H Chen, B An
UAI 2020, 2020
62020
A cooking assistance system for patients with Alzheimers disease using reinforcement learning
H Chen, Y Soh
Int. J. Inf. Technol 23 (2), 2017
62017
Using Word Embeddings to Deter Intellectual Property Theft through Automated Generation of Fake Documents
A Abdibayev, D Chen, H Chen, D Poluru, VS Subrahmanian
ACM Transactions on Management Information Systems (TMIS) 12 (2), 1-22, 2021
52021
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