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ORCIDHaipeng Chen 0001
Person information
- affiliation: Harvard University, Center for Research on Computation and Society, Cambridge, MA, USA
- affiliation (former): Dartmouth College, Department of Computer Science, Hanover, NH, USA
- affiliation (former, PhD 2018): Nanyang Technological University (NTU), Singapore
Other persons with the same name
- Haipeng Chen (aka: Hai-Peng Chen) — disambiguation page
- Haipeng Chen 0002
![[0000-0002-9410-4120]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9410-4120")
— Jilin University, College of Computer Science and Technology, Changchun, China - Haipeng Chen 0003 — Northeast Dianli University, Electrical Engineering College, Jilin, China
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Journal Articles
- 2023
[j8]Elizabeth Bondi-Kelly, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Predicting micronutrient deficiency with publicly available satellite data. AI Mag. 44(1): 30-40 (2023)- [j7]Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian:
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. IEEE Trans. Multim. 25: 942-952 (2023) - 2022
- [j6]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): 67:1-67:24 (2022) - 2021
- [j5]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): 13:1-13:22 (2021) - 2020
- [j4]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): 3779-3790 (2020) - [j3]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): 42-57 (2020) - 2017
- [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c21]Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, Boi Faltings:
AI-driven Prices for Externalities and Sustainability in Production Markets. AAMAS 2023: 2463-2465 - [c20]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
A Learning Approach to Complex Contagion Influence Maximization. AAMAS 2023: 2622-2624 - [c19]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
Complex Contagion Influence Maximization: A Reinforcement Learning Approach. IJCAI 2023: 5531-5540 - 2022
- [c18]Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Micronutrient Deficiency Prediction via Publicly Available Satellite Data. AAAI 2022: 12454-12460 - [c17]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: 12461-12467 - [c16]Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh:
Sequential Vaccine Allocation with Delayed Feedback. IJCAI 2022: 5199-5205 - 2021
- [c15]Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. AAMAS 2021: 992-1000 - [c14]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: 8795-8806 - [c13]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust reinforcement learning under minimax regret for green security. UAI 2021: 257-267 - [c12]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-aware influence maximization: A reinforcement learning approach. UAI 2021: 1535-1545 - 2020
- [c11]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 - [c10]Xu He, Haipeng Chen, Bo An:
Learning Behaviors with Uncertain Human Feedback. UAI 2020: 131-140 - 2019
- [c9]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 - [c8]Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian:
VASE: A Twitter-Based Vulnerability Analysis and Score Engine. ICDM 2019: 976-981 - [c7]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: 2074-2080 - [c6]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 - [c5]Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian:
VEST: A System for Vulnerability Exploit Scoring & Timing. IJCAI 2019: 6503-6505 - [c4]Haipeng Chen, Rui Liu, Noseong Park, V. S. Subrahmanian:
Using Twitter to Predict When Vulnerabilities will be Exploited. KDD 2019: 3143-3152 - 2018
- [c3]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 - [c2]Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An:
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. AAAI 2018: 4767-4775 - 2016
- [c1]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
Informal and Other Publications
- 2024
- [i9]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) - [i8]Yaolong Yu, Haipeng Chen:
Decentralized Online Learning in General-Sum Stackelberg Games. CoRR abs/2405.03158 (2024) - 2022
- [i7]Yaolong Yu, Haifeng Xu, Haipeng Chen:
Learning Correlated Stackelberg Equilibrium in General-Sum Multi-Leader-Single-Follower Games. CoRR abs/2210.12470 (2022) - 2021
- [i6]Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. CoRR abs/2101.02766 (2021) - [i5]Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe:
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. CoRR abs/2106.03279 (2021) - [i4]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach. CoRR abs/2106.07039 (2021) - [i3]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust Reinforcement Learning Under Minimax Regret for Green Security. CoRR abs/2106.08413 (2021) - 2020
- [i2]Xu He, Haipeng Chen, Bo An:
Learning Behaviors with Uncertain Human Feedback. CoRR abs/2006.04201 (2020) - [i1]Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V. S. Subrahmanian:
M2P2: Multimodal Persuasion Prediction using Adaptive Fusion. CoRR abs/2006.11405 (2020)
Coauthor Index
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