Huang, Taoan

18 publications

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

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

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

NeurIPSW 2023 Contrastive Predict-and-Search for Mixed Integer Linear Programs Taoan Huang, Aaron M Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina

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

ICMLW 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

ICMLW 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

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

ICMLW 2023 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner

ICML 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

ICMLW 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

TMLR 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

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

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

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

NeurIPSW 2020 Learning to Select Nodes in Bounded Suboptimal Conflict-Based Search for Multi-Agent Path Finding Taoan Huang, Bistra Dilkina, Sven Koenig

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

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