MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach. - Bo An 001; Haipeng Chen 001; Noseong Park; V. S. Subrahmanian (KDD, 2016)

Workload Factoring and Resource Sharing via Joint Vertical and Horizontal Cloud Federation Networks. - Haipeng Chen 001; Bo An 001; Dusit Niyato; Yeng Chai Soh; Chunyan Miao (IEEE J. Sel. Areas Commun., 2017)

Data-Driven Frequency-Based Airline Profit Maximization. - Bo An 001; Haipeng Chen 001; Noseong Park; V. S. Subrahmanian (ACM Trans. Intell. Syst. Technol., 2017)

DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation. - Haipeng Chen 001; Bo An 001; Guni Sharon; Josiah P. Hanna; Peter Stone 001; Chunyan Miao; Yeng Chai Soh (AAAI, 2018)

HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. - Yanhai Xiong; Haipeng Chen 001; Mengchen Zhao; Bo An 001 (AAAI, 2018)

VASE: A Twitter-Based Vulnerability Analysis and Score Engine. - Haipeng Chen 001; Jing Liu 024; Rui Liu 014; Noseong Park; V. S. Subrahmanian (ICDM, 2019)

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. - Haipeng Chen 001; Yan Jiao; Zhiwei (Tony) Qin; Xiaocheng Tang; Hao Li; Bo An 001; Hongtu Zhu; Jieping Ye (ICDM, 2019)

FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data. - Haipeng Chen 001; Sushil Jajodia; Jing Liu 024; Noseong Park; Vadim Sokolov; V. S. Subrahmanian (IJCAI, 2019)

VEST: A System for Vulnerability Exploit Scoring & Timing. - Haipeng Chen 001; Jing Liu 024; Rui Liu 014; Noseong Park; V. S. Subrahmanian (IJCAI, 2019)

Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks. - Wei Qiu 001; Haipeng Chen 001; Bo An 001 (IJCAI, 2019)

Using Twitter to Predict When Vulnerabilities will be Exploited. - Haipeng Chen 001; Rui Liu 014; Noseong Park; V. S. Subrahmanian (KDD, 2019)

Robust Lock-Down Optimization for COVID-19 Policy Guidance. - Ankit Bhardwaj; Han-Ching Ou; Haipeng Chen 001; Shahin Jabbari; Milind Tambe; Rahul Panicker; Alpan Raval (AI4SG@AAAI Fall Symposium, 2020)

Learning Behaviors with Uncertain Human Feedback. - Xu He; Haipeng Chen 001; Bo An 001 (UAI, 2020)

Disclose or Exploit? A Game-Theoretic Approach to Strategic Decision Making in Cyber-Warfare. - Haipeng Chen 001; Qian Han; Sushil Jajodia; Roy Lindelauf; V. S. Subrahmanian; Yanhai Xiong (IEEE Syst. J., 2020)

PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications. - Haipeng Chen 001; Mohammad Taghi Hajiaghayi; Sarit Kraus; Anshul Sawant; Edoardo Serra; V. S. Subrahmanian; Yanhai Xiong (IEEE Trans. Comput. Soc. Syst., 2020)

EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation. - Qi Zhou 012; Haipeng Chen 001; Yitao Zheng; Zhen Wang 013 (AAAI, 2021)

Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. - Han-Ching Ou; Haipeng Chen 001; Shahin Jabbari; Milind Tambe (AAMAS, 2021)

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. - Kai Wang 040; Sanket Shah; Haipeng Chen 001; Andrew Perrault; Finale Doshi-Velez; Milind Tambe (NeurIPS, 2021)

Contingency-aware influence maximization: A reinforcement learning approach. - Haipeng Chen 001; Wei Qiu 001; Han-Ching Ou; Bo An 001; Milind Tambe (UAI, 2021)

Robust reinforcement learning under minimax regret for green security. - Lily Xu; Andrew Perrault; Fei Fang 001; Haipeng Chen 001; Milind Tambe (UAI, 2021)

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. - Kai Wang 040; Sanket Shah; Haipeng Chen 001; Andrew Perrault; Finale Doshi-Velez; Milind Tambe (CoRR, 2021)

Using Word Embeddings to Deter Intellectual Property Theft through Automated Generation of Fake Documents. - Almas Abdibayev; Dongkai Chen; Haipeng Chen 001; Deepti Poluru; V. S. Subrahmanian (ACM Trans. Manag. Inf. Syst., 2021)

Using Public Data to Predict Demand for Mobile Health Clinics. - Haipeng Chen 001; Susobhan Ghosh; Gregory Fan; Nikhil Behari; Arpita Biswas; Mollie Williams; Nancy E. Oriol; Milind Tambe (AAAI, 2022)

Micronutrient Deficiency Prediction via Publicly Available Satellite Data. - Elizabeth Bondi; Haipeng Chen 001; Christopher D. Golden; Nikhil Behari; Milind Tambe (AAAI, 2022)

Sequential Vaccine Allocation with Delayed Feedback. - Yichen Xiao; Han-Ching Ou; Haipeng Chen 001; Van Thieu Nguyen; Long Tran-Thanh (IJCAI, 2022)

Learning Correlated Stackelberg Equilibrium in General-Sum Multi-Leader-Single-Follower Games. - Yaolong Yu; Haifeng Xu; Haipeng Chen 001 (CoRR, 2022)

PCAM: A Data-driven Probabilistic Cyber-alert Management Framework. - Haipeng Chen 001; Andrew Duncklee; Sushil Jajodia; Rui Liu 014; Sean R. McNamara; V. S. Subrahmanian (ACM Trans. Internet Techn., 2022)

A Learning Approach to Complex Contagion Influence Maximization. - Haipeng Chen 001; Bryan Wilder; Wei Qiu 001; Bo An 001; Eric Rice; Milind Tambe (AAMAS, 2023)

AI-driven Prices for Externalities and Sustainability in Production Markets. - Panayiotis Danassis; Aris Filos-Ratsikas; Haipeng Chen 001; Milind Tambe; Boi Faltings (AAMAS, 2023)

Complex Contagion Influence Maximization: A Reinforcement Learning Approach. - Haipeng Chen 001; Bryan Wilder; Wei Qiu 001; Bo An 001; Eric Rice; Milind Tambe (IJCAI, 2023)

M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion. - Chongyang Bai; Haipeng Chen 001; Srijan Kumar; Jure Leskovec; V. S. Subrahmanian (IEEE Trans. Multim., 2023)

Predicting micronutrient deficiency with publicly available satellite data. - Elizabeth Bondi-Kelly; Haipeng Chen 001; Christopher D. Golden; Nikhil Behari; Milind Tambe (AI Mag., 2023)

Towards Real-Time and Personalized Code Generation. - Han Xu 014; Xingyuan Wang; Haipeng Chen 001 (CIKM, 2024)

RESTful-Llama: Connecting User Queries to RESTful APIs. - Han Xu 014; Ruining Zhao; Jindong Wang 001; Haipeng Chen 001 (EMNLP (Industry Track), 2024)

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. - Safa Messaoud; Billel Mokeddem; Zhenghai Xue; Linsey Pang; Bo An 001; Haipeng Chen 001; Sanjay Chawla (ICLR, 2024)

Can Speculative Sampling Accelerate ReAct Without Compromising Reasoning Quality? - Han Xu 014; Jingyang Ye; Yutong Li 008; Haipeng Chen 001 (Tiny Papers @ ICLR, 2024)

Decentralized Online Learning in General-Sum Stackelberg Games. - Yaolong Yu; Haipeng Chen 001 (UAI, 2024)

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. - Safa Messaoud; Billel Mokeddem; Zhenghai Xue; Linsey Pang; Bo An 001; Haipeng Chen 001; Sanjay Chawla (CoRR, 2024)

Focused ReAct: Improving ReAct through Reiterate and Early Stop. - Shuoqiu Li; Han Xu 014; Haipeng Chen 001 (CoRR, 2024)

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. - Shudong Liu 004; Yiqiao Jin; Cheng Li; Derek F. Wong; Qingsong Wen; Lichao Sun 001; Haipeng Chen 001; Xing Xie 001; Jindong Wang 001 (CoRR, 2025)