Taoan Huang

According to our database, Taoan Huang authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods.

Weimin Huang, Taoan Huang, Aaron M. Ferber, Bistra Dilkina

CoRR, 2024

Learning Backdoors for Mixed Integer Programs with Contrastive Learning.

Junyang Cai, Taoan Huang, Bistra Dilkina

CoRR, 2024

An extensive study of security games with strategic informants.

Weiran Shen, Minbiao Han, Weizhe Chen, Taoan Huang, Rohit Singh, Haifeng Xu, Fei Fang

Artif. Intell., 2024

Contrastive Predict-and-Search for Mixed Integer Linear Programs.

Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GenCO: Generating Diverse Designs with Combinatorial Constraints.

Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning.

Junyang Cai, Taoan Huang, Bistra Dilkina

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.

Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature.

Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning.

Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the International Conference on Machine Learning, 2023

Local Branching Relaxation Heuristics for Integer Linear Programs.

Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

Deadline-Aware Multi-Agent Tour Planning.

Taoan Huang, Vikas Shivashankar, Michael Caldara, Joseph W. Durham, Jiaoyang Li, Bistra Dilkina, Sven Koenig

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

Synthesizing Priority Planning Formulae for Multi-Agent Pathfinding.

Shuwei Wang, Vadim Bulitko, Taoan Huang, Sven Koenig, Roni Stern

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

2022

The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems.

Sumedh Pendurkar, Taoan Huang, Sven Koenig, Guni Sharon

CoRR, 2022

Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding.

Shuyang Zhang, Jiaoyang Li, Taoan Huang, Sven Koenig, Bistra Dilkina

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

A Discussion on the Scalability of Heuristic Approximators (Extended Abstract).

Sumedh Pendurkar, Taoan Huang, Sven Koenig, Guni Sharon

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search.

Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding.

Taoan Huang, Bistra Dilkina, Sven Koenig

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search.

Taoan Huang, Sven Koenig, Bistra Dilkina

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

When to Follow the Tip: Security Games with Strategic Informants.

Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Enhancing Seismic Resilience of Water Pipe Networks.

Taoan Huang, Bistra Dilkina

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

Green Security Game with Community Engagement.

Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests.

Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Optimal Trip-Vehicle Dispatch with Multi-Type Requests.

Taoan Huang, Bohui Fang, Hoon Oh, Xiaohui Bei, Fei Fang

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019