Optimal Trip-Vehicle Dispatch with Multi-Type Requests. - Taoan Huang; Bohui Fang; Hoon Oh; Xiaohui Bei; Fei Fang 001 (AAMAS, 2019)

Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. - Taoan Huang; Bohui Fang; Xiaohui Bei; Fei Fang 001 (UAI, 2019)

Green Security Game with Community Engagement. - Taoan Huang; Weiran Shen; David Zeng; Tianyu Gu; Rohit Singh; Fei Fang 001 (AAMAS, 2020)

Enhancing Seismic Resilience of Water Pipe Networks. - Taoan Huang; Bistra Dilkina (COMPASS, 2020)

When to Follow the Tip: Security Games with Strategic Informants. - Weiran Shen; Weizhe Chen 001; Taoan Huang; Rohit Singh; Fei Fang 001 (IJCAI, 2020)

Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. - Taoan Huang; Sven Koenig; Bistra Dilkina (AAAI, 2021)

Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. - Taoan Huang; Bistra Dilkina; Sven Koenig (AAMAS, 2021)

Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. - Taoan Huang; Jiaoyang Li 001; Sven Koenig; Bistra Dilkina (AAAI, 2022)

A Discussion on the Scalability of Heuristic Approximators (Extended Abstract). - Sumedh Pendurkar; Taoan Huang; Sven Koenig; Guni Sharon (SOCS, 2022)

Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding. - Shuyang Zhang; Jiaoyang Li 001; Taoan Huang; Sven Koenig; Bistra Dilkina (SOCS, 2022)

The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems. - Sumedh Pendurkar; Taoan Huang; Sven Koenig; Guni Sharon (CoRR, 2022)

Synthesizing Priority Planning Formulae for Multi-Agent Pathfinding. - Shuwei Wang; Vadim Bulitko; Taoan Huang; Sven Koenig; Roni Stern (AIIDE, 2023)

Deadline-Aware Multi-Agent Tour Planning. - Taoan Huang; Vikas Shivashankar; Michael Caldara; Joseph W. Durham; Jiaoyang Li 001; Bistra Dilkina; Sven Koenig (ICAPS, 2023)

Local Branching Relaxation Heuristics for Integer Linear Programs. - Taoan Huang; Aaron M. Ferber; Yuandong Tian; Bistra Dilkina; Benoit Steiner (CPAIOR, 2023)

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. - Aaron M. Ferber; Taoan Huang; Daochen Zha; Martin Schubert; Benoit Steiner; Bistra Dilkina; Yuandong Tian (ICML, 2023)

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. - Taoan Huang; Aaron M. Ferber; Yuandong Tian; Bistra Dilkina; Benoit Steiner (ICML, 2023)

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. - Arman Zharmagambetov; Brandon Amos; Aaron M. Ferber; Taoan Huang; Bistra Dilkina; Yuandong Tian (NeurIPS, 2023)

GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature. - Aaron M. Ferber; Arman Zharmagambetov; Taoan Huang; Bistra Dilkina; Yuandong Tian (CoRR, 2023)

The (Un)Scalability of Informed Heuristic Function Estimation in NP-Hard Search Problems. - Sumedh Pendurkar; Taoan Huang; Brendan Juba; Jiapeng Zhang; Sven Koenig; Guni Sharon (Trans. Mach. Learn. Res., 2023)

Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. - Thomy Phan; Taoan Huang; Bistra Dilkina; Sven Koenig (AAAI, 2024)

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning. - Junyang Cai; Taoan Huang; Bistra Dilkina (ECAI, 2024)

GenCO: Generating Diverse Designs with Combinatorial Constraints. - Aaron M. Ferber; Arman Zharmagambetov; Taoan Huang; Bistra Dilkina; Yuandong Tian (ICML, 2024)

Contrastive Predict-and-Search for Mixed Integer Linear Programs. - Taoan Huang; Aaron M. Ferber; Arman Zharmagambetov; Yuandong Tian; Bistra Dilkina (ICML, 2024)

An extensive study of security games with strategic informants. - Weiran Shen; Minbiao Han; Weizhe Chen 001; Taoan Huang; Rohit Singh; Haifeng Xu; Fei Fang 001 (Artif. Intell., 2024)

Learning Backdoors for Mixed Integer Programs with Contrastive Learning. - Junyang Cai; Taoan Huang; Bistra Dilkina (CoRR, 2024)

Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods. - Weimin Huang; Taoan Huang; Aaron M. Ferber; Bistra Dilkina (CoRR, 2024)

Multi-task Representation Learning for Mixed Integer Linear Programming. - Junyang Cai; Taoan Huang; Bistra Dilkina (CPAIOR (1), 2025)