Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... Proceedings of the National Academy of Sciences 117 (41), 25904-25910, 2020 | 108* | 2020 |
Optimizing Network Structure for Preventative Health. B Wilder, HC Ou, K de la Haye, M Tambe AAMAS, 841-849, 2018 | 36 | 2018 |
Influence maximization for complementary goods: Why parties fail to cooperate? HC Ou, CK Chou, MS Chen Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 21 | 2016 |
Contingency-aware influence maximization: A reinforcement learning approach H Chen, W Qiu, HC Ou, B An, M Tambe Uncertainty in Artificial Intelligence, 1535-1545, 2021 | 8 | 2021 |
Robust lock-down optimization for COVID-19 policy guidance A Bhardwaj, HC Ou, H Chen, S Jabbari, M Tambe, R Panicker, A Raval AAAI Fall Symposium, 2020 | 7 | 2020 |
An empirical study of the trade-offs between interpretability and fairness S Jabbari, HC Ou, H Lakkaraju, M Tambe ICML 2020 Workshop on Human Interpretability in Machine Learning, 2020 | 7 | 2020 |
Active screening for recurrent diseases: A reinforcement learning approach HC Ou, H Chen, S Jabbari, M Tambe arXiv preprint arXiv:2101.02766, 2021 | 5 | 2021 |
Who and when to screen: Multi-round active screening for network recurrent infectious diseases under uncertainty HC Ou, A Sinha, SC Suen, A Perrault, A Raval, M Tambe ACM, 2020 | 5* | 2020 |
Networked Restless Multi-Armed Bandits for Mobile Interventions HC Ou, C Siebenbrunner, J Killian, MB Brooks, D Kempe, Y Vorobeychik, ... arXiv preprint arXiv:2201.12408, 2022 | 3 | 2022 |
Combining Machine Learning and Cognitive Models for Adaptive Phishing Training EA Cranford, S Jabbari, HC Ou, M Tambe, C Gonzalez, C Lebiere | 2 | 2022 |
Accounting for Uncertainty in Deceptive Signaling for Cybersecurity E Cranford, HC Ou, C Gonzalez, M Tambe, C Lebiere | | 2023 |
Sequential Vaccine Allocation with Delayed Feedback Y Xiao, HC Ou, H Chen, VT Nguyen, L Tran-Thanh 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 …, 2022 | | 2022 |
Sequential Network Planning Problems for Public Health Applications HC Ou Harvard University, 2022 | | 2022 |
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach HC Ou, K Wang, F Doshi-Velez, M Tambe Multi-Agent-Based Simulation XXI: 21st International Workshop, MABS 2020 …, 2021 | | 2021 |
Imbalanced Collusive Security Games HC Ou, M Tambe, B Dilkina, P Vayanos Decision and Game Theory for Security: 9th International Conference, GameSec …, 2018 | | 2018 |
Individualized Optimal Behavioral Interventions by Predicting Relapse N Aldarrab, V Ardulov, B Bhattacharya, S Lei, HC Ou, Y Zeng | | |
Inferring between-population differences in COVID-19 dynamics B Wilder, M Charpignon, JA Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... | | |
TRACE: Algorithmic ACTS for Preventing the Spread of Recurrent Infectious Diseases on Networks B Bhattacharya, HC Ou, A Sinha, SC Suen, B Dilkina, M Tambe | | |
Repeated Active Screening of Networks for Diseases B Bhattacharya, HC Ou, A Sinha, SC Suen, B Dilkina, M Tambe | | |