Publications
You can also find my articles on my Google Scholar profile.
2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | Master Thesis |
2025
New Mechanisms in Flex Distribution for Bounded Suboptimal Multi-Agent Path Finding.
Shao-Hung Chan, Thomy Phan, Jiaoyang Li, and Sven Koenig.
International Symposium on Combinatorial Search (SoCS), in print, 2025.- Counterfactual Online Learning for Open-Loop Monte-Carlo Planning.
Thomy Phan, Shao-Hung Chan, and Sven Koenig.
AAAI Conference on Artificial Intelligence (AAAI), pages 26651–26658, 2025.
[bibtex] [code] [pdf] [publisher] - Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic.
Thomy Phan, Benran Zhang, Shao-Hung Chan, and Sven Koenig.
AAAI Conference on Artificial Intelligence (AAAI), pages 23286–23294, 2025.
[bibtex] [code] [pdf] [publisher]
2024
- Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, and Thomy Phan.
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), (in print), 2024.
[bibtex] [pdf] - The League of Robot Runners: Competition Goals, Designs, and Implementation.
Best System Demonstration Award Honorable Mention of ICAPS 2024
Shao-Hung Chan, Zhe Chen, Teng Guo, Han Zhang, Yue Zhang, Daniel Harabor, Sven Koenig, Cathy Wu, and Jingjin Yu.
ICAPS 2024 System’s Demonstration Track, 2024.
[bibtex] [website] [pdf] [publisher] [video] - Theoretical Study on Multi-objective Heuristic Search.
Shawn Skyler, Shahaf Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, and Carlos Hernandez.
International Joint Conference on Artificial Intelligence (IJCAI), pages 7021–7028, 2024.
A short version appeared at the International Symposium on Combinatorial Search (SoCS), pages 183-184, 2023.
[bibtex] [pdf] [publisher]
2023
- Greedy Priority-Based Search for Suboptimal Multi-Agent Path Finding.
Shao-Hung Chan, Roni Stern, Ariel Felner, and Sven Koenig.
International Symposium on Combinatorial Search (SoCS), pages 11–19, 2023.
[bibtex] [code] [pdf] [publisher] - Multi-Robot Geometric Task-and-Motion Planning for Collaborative Manipulation Tasks.
Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, and Stefanos Nikolaidis.
Autonomous Robots, volume 47, pages 1537-1558, 2023.
[bibtex] [pdf] [publisher] - Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities.
Oren Salzman, Ariel Felner, Carlos Hernandez, Han Zhang, Shao-Hung Chan, and Sven Koenig.
International Joint Conference on Artificial Intelligence (IJCAI), pages 6759-6768, 2023.
[bibtex] [pdf] [publisher] - Multi-objective Search via Lazy and Efficient Dominance Checks.
Carlos Hernández, William Yeoh, Jorge A. Baier, Ariel Felner, Oren Salzman, Han Zhang, Shao-Hung Chan, and Sven Koenig.
International Joint Conference on Artificial Intelligence (IJCAI), pages 7223-7230, 2023.
[bibtex] [pdf] [publisher]
2022
- Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding.
Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, and Sven Koenig.
AAAI Conference on Artificial Intelligence (AAAI), pages 9313-9322, 2022.
A short version appeared at the International Symposium on Combinatorial Search (SoCS), pages 159-161, 2021.
[bibtex] [code] [pdf] [publisher] - On Merging Agents in Multi-Agent Pathfinding Algorithms.
Best Student Paper Award of SOCS 2022
Eli Boyarski, Shao-Hung Chan, Dor Atzmon, Ariel Felner, and Sven Koenig.
International Symposium on Combinatorial Search (SoCS), pages 11–19, 2022.
[bibtex] [pdf] [publisher] - A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning.
Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, and Stefanos Nikolaidis.
IEEE International Conference on Automation Science and Engineering (CASE), pages 2102-2109, 2022.
[bibtex] [pdf] [publisher]
2021
- Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge
Winner of the NeurIPS’20 Flatland Challenge.
Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, and Sven Koenig.
International Conference on Automated Planning and Scheduling (ICAPS), pages 477-485, 2021.
A short version appeared at the International Symposium on Combinatorial Search (SoCS), pages 179-181, 2021.
[bibtex] [code] [demo] [media] [pdf] [publisher] [talk] - A Hierarchical Approach to Multi-Agent Path Finding.
Han Zhang, Mingze Yao, Ziang Liu, Jiaoyang Li, Lucas Terr, Shao-Hung Chan, T. K. Satish Kumar, and Sven Koenig.
ICAPS Workshop on Hierarchical Planning (HPLAN), 2021.
A short version appeared at the International Symposium on Combinatorial Search (SoCS), pages 209-211, 2021.
[bibtex] [pdf] - Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World.
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, and Sharada Mohanty.
NeurIPS 2020 Competition and Demonstration Track, PMLR, volume 133, pages 275-301, 2021.
[bibtex] [pdf] [publisher]
2020
- Nested ECBS for Bounded-Suboptimal Multi-Agent Path Finding.
Shao-Hung Chan, Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Graeme Gange, Liron Cohen, and Sven Koenig.
IJCAI Workshop on Multi-Agent Path Finding (WoMAPF), 2020.
[bibtex] [pdf]
2019
- Real-time Obstacle Avoidance using Supervised Recurrent Neural Network with Automatic Data Collection and Labeling.
Shao-Hung Chan, Xiaoyue Xu, Ping-Tsang Wu, Ming-Li Chiang, and Li-Chen Fu.
IEEE International Conference on System, Man, and Cybernetics (SMC), pages 472-477, 2019.
[bibtex] [pdf] [publisher] - Multi-Layer Environmental Affordance Map for Robust Indoor Localization, Event Detection and Social Friendly Navigation.
Ping-Tsang Wu, Chee-An Yu, Shao-Hung Chan, Ming-Li Chiang, and Li-Chen Fu.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2945-2950, 2019.
[bibtex] [pdf] [publisher]
2018
- Robust 2D Indoor Localization through Laser SLAM and Visual SLAM Fusion.
Best Student Paper Award Finalist of IEEE SMC Society.
Shao-Hung Chan, Ping-Tsang Wu, and Li-Chen Fu.
IEEE International Conference on System, Man, and Cybernetics (SMC), pages 1263-1268, 2018.
[bibtex] [pdf] [publisher] - Distributed Deep Reinforcement Learning based Indoor Visual Navigation.
Shih-Hsi Hsu, Shao-Hung Chan, Ping-Tsang Wu, Kun Xiao, and Li-Chen Fu.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2532-2537, 2018.
[bibtex] [pdf] [publisher]
Master Thesis
- Optimal Navigation System for a Mobile Robot to Execute Dynamical Multiple Social Tasks.
Best Master Thesis of NTUEE in 2019.
Shao-Hung Chan.
[pdf]