Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate? - Han-Ching Ou; Chung-Kuang Chou; Ming-Syan Chen (CIKM, 2016)

Optimizing Network Structure for Preventative Health. - Bryan Wilder; Han-Ching Ou; Kayla de la Haye; Milind Tambe (AAMAS, 2018)

Imbalanced Collusive Security Games. - Han-Ching Ou; Milind Tambe; Bistra Dilkina; Phebe Vayanos (GameSec, 2018)

Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. - Han-Ching Ou; Arunesh Sinha; Sze-Chuan Suen; Andrew Perrault; Milind Tambe (CoRR, 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)

Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. - Han-Ching Ou; Arunesh Sinha; Sze-Chuan Suen; Andrew Perrault; Alpan Raval; Milind Tambe (AAMAS, 2020)

Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. - Han-Ching Ou; Kai Wang 040; Finale Doshi-Velez; Milind Tambe (MABS, 2020)

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

Networked Restless Multi-Armed Bandits for Mobile Interventions. - Han-Ching Ou; Christoph Siebenbrunner; Jackson A. Killian; Meredith B. Brooks; David Kempe 001; Yevgeniy Vorobeychik; Milind Tambe (AAMAS, 2022)

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

Accounting for Uncertainty in Deceptive Signaling for Cybersecurity. - Edward A. Cranford; Han-Ching Ou; Cleotilde Gonzalez; Milind Tambe; Christian Lebiere (HICSS, 2023)