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2020 – today
- 2023
[c11]Edward A. Cranford, Han-Ching Ou, Cleotilde Gonzalez, Milind Tambe, Christian Lebiere:
Accounting for Uncertainty in Deceptive Signaling for Cybersecurity. HICSS 2023: 876-885- 2022
- [c10]Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe:
Networked Restless Multi-Armed Bandits for Mobile Interventions. AAMAS 2022: 1001-1009 - [c9]Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh:
Sequential Vaccine Allocation with Delayed Feedback. IJCAI 2022: 5199-5205 - [i4]Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe:
Networked Restless Multi-Armed Bandits for Mobile Interventions. CoRR abs/2201.12408 (2022) - 2021
- [c8]Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. AAMAS 2021: 992-1000 - [c7]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-aware influence maximization: A reinforcement learning approach. UAI 2021: 1535-1545 - [i3]Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. CoRR abs/2101.02766 (2021) - [i2]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach. CoRR abs/2106.07039 (2021) - 2020
- [c6]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 - [c5]Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. AAMAS 2020: 992-1000 - [c4]Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe:
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. MABS 2020: 54-65
2010 – 2019
- 2019
- [i1]Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. CoRR abs/1903.06113 (2019) - 2018
- [c3]Bryan Wilder, Han-Ching Ou, Kayla de la Haye, Milind Tambe:
Optimizing Network Structure for Preventative Health. AAMAS 2018: 841-849 - [c2]Han-Ching Ou, Milind Tambe, Bistra Dilkina
, Phebe Vayanos:
Imbalanced Collusive Security Games. GameSec 2018: 583-602 - 2016
- [c1]Han-Ching Ou, Chung-Kuang Chou, Ming-Syan Chen:
Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate? CIKM 2016: 1713-1722
Coauthor Index
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