Haipeng Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Sequential Decision Making

Reinforcement Learning

Influence Maximization

Top Venues

Publications

Yaolong Yu, Haipeng Chen
Decentralized Online Learning in General-Sum Stackelberg Games. CoRR (2024)
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)
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. CoRR (2024)
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
Complex Contagion Influence Maximization: A Reinforcement Learning Approach. IJCAI (2023)
Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, Boi Faltings
AI-driven Prices for Externalities and Sustainability in Production Markets. AAMAS (2023)
Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. IEEE Trans. Multim. 25 (2023)
Elizabeth Bondi-Kelly, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe
Predicting micronutrient deficiency with publicly available satellite data. AI Mag. 44 (1) (2023)
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
A Learning Approach to Complex Contagion Influence Maximization. AAMAS (2023)
Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe
Micronutrient Deficiency Prediction via Publicly Available Satellite Data. AAAI (2022)
Haipeng Chen, Andrew Duncklee, Sushil Jajodia, Rui Liu, Sean R. McNamara, V. S. Subrahmanian
PCAM: A Data-driven Probabilistic Cyber-alert Management Framework. ACM Trans. Internet Techn. 22 (3) (2022)
Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh
Sequential Vaccine Allocation with Delayed Feedback. IJCAI (2022)
Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe
Using Public Data to Predict Demand for Mobile Health Clinics. AAAI (2022)
Almas Abdibayev, Dongkai Chen, Haipeng Chen, Deepti Poluru, V. S. Subrahmanian
Using Word Embeddings to Deter Intellectual Property Theft through Automated Generation of Fake Documents. ACM Trans. Manag. Inf. Syst. 12 (2) (2021)
Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach. CoRR (2021)
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. NeurIPS (2021)
Haipeng Chen, Mohammad Taghi Hajiaghayi, Sarit Kraus, Anshul Sawant, Edoardo Serra, V. S. Subrahmanian, Yanhai Xiong
PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications. IEEE Trans. Comput. Soc. Syst. 7 (1) (2020)
Xu He, Haipeng Chen, Bo An
Learning Behaviors with Uncertain Human Feedback. CoRR (2020)
Xu He, Haipeng Chen, Bo An
Learning Behaviors with Uncertain Human Feedback. UAI (2020)
Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian
M2P2: Multimodal Persuasion Prediction using Adaptive Fusion. CoRR (2020)
Haipeng Chen, Qian Han, Sushil Jajodia, Roy Lindelauf, V. S. Subrahmanian, Yanhai Xiong
Disclose or Exploit? A Game-Theoretic Approach to Strategic Decision Making in Cyber-Warfare. IEEE Syst. J. 14 (3) (2020)
Ankit Bhardwaj, Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval
Robust Lock-Down Optimization for COVID-19 Policy Guidance. AI4SG@AAAI Fall Symposium (2020)
Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, V. S. Subrahmanian
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. IJCAI (2019)
Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian
VASE: A Twitter-Based Vulnerability Analysis and Score Engine. ICDM (2019)
Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian
VEST: A System for Vulnerability Exploit Scoring & Timing. IJCAI (2019)
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)
Wei Qiu, Haipeng Chen, Bo An
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. IJCAI (2019)
Haipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian
Using Twitter to Predict When Vulnerabilities will be Exploited. KDD (2019)
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)
Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. AAAI (2018)
Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian
Data-Driven Frequency-Based Airline Profit Maximization. ACM Trans. Intell. Syst. Technol. 8 (4) (2017)
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) (2017)
Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian
MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. KDD (2016)