| 2026 | AAAI | CTPD: Cross Tokenizer Preference Distillation. | Truong Nguyen, Phi Van Dat, Ngan Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen |
| 2026 | ACL | MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation. | Pham Khanh Chi, Quoc Phong Dao, Thuat Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen |
| 2026 | ACL | MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining. | Phung Gia Huy, Hai An Vu, Minh-Phuc Truong, Thang Duc Tran, Linh Ngo Van, Thanh Hong Nguyen, Trung Le |
| 2025 | ICLR | ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization. | The Viet Bui, Thanh Hong Nguyen, Tien Anh Mai |
| 2025 | ICML | O-MAPL: Offline Multi-agent Preference Learning. | The Viet Bui, Tien Mai, Thanh Hong Nguyen |
| 2024 | IJCAI | Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. | Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar Singh |
| 2023 | AAAI | Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks. | Thanh Hong Nguyen, Arunesh Sinha |
| 2023 | AAAI | Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility. | Wai Tuck Wong, Sarah Eve Kinsey, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha |
| 2023 | IJCAI | Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning. | Sarah Eve Kinsey, Jack Wolf, Nalini Saligram, Varun Ramesan, Meeta Walavalkar, Nidhi Jaswal, Sandhya Ramalingam, Arunesh Sinha, Thanh Hong Nguyen |
| 2023 | KDD | CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. | Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav |
| 2022 | UAI | Information design for multiple independent and self-interested defenders: Work less, pay off more. | Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen |
| 2020 | ECAI | Tackling Imitative Attacker Deception in Repeated Bayesian Stackelberg Security Games. | Thanh Hong Nguyen, Andrew Butler, Haifeng Xu |
| 2020 | ECAI | Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. | Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen |
| 2020 | IJCAI | Partial Adversarial Behavior Deception in Security Games. | Thanh Hong Nguyen, Arunesh Sinha, He He |
| 2019 | AAAI | Deception in Finitely Repeated Security Games. | Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman |
| 2018 | AAAI | Deceitful Attacks in Security Games. | Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha |
| 2017 | AAAI | A Stackelberg Game Model for Botnet Traffic Exfiltration. | Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh |
| 2017 | CCS | Multi-Stage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. | Thanh Hong Nguyen, Mason Wright, Michael P. Wellman, Satinder Singh |
| 2016 | AAAI | Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). | Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe |
| 2016 | AAAI | Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. | Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux |
| 2016 | AAAI | Protecting Wildlife under Imperfect Observation. | Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale |
| 2016 | AAAI | Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. | Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe |
| 2016 | AAAI | From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. | Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe |
| 2016 | IJCAI | Three Strategies to Success: Learning Adversary Models in Security Games. | Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe |
| 2014 | AAAI | Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. | Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier |
| 2013 | AAAI | Analyzing the Effectiveness of Adversary Modeling in Security Games. | Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe |
| 2012 | AAAI | Security Games for Controlling Contagion. | Jason Tsai, Thanh Hong Nguyen, Milind Tambe |