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Jiaoyang Li

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J. Li, T. Hoang, E. Lin, H. Vu and S. Koenig. Intersection Coordination with Priority-Based Search for Autonomous Vehicles. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
Z. Ren, J. Li, H. Zhang, S. Koenig, S. Rathinam and H. Choset. Binary Branching Multi-Objective Conflict-Based Search for Multi-Agent Path Finding. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2023.
T. Huang, V. Shivashankar, M. Caldara, J. Durham, J. Li, B. Dilkina and S. Koenig. Deadline-Aware Multi-Agent Tour Planning. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2023.
E. Lam, D. Harabor, P. Stuckey and J. Li. Exact Anytime Multi-Agent Path Finding Using Branch-and-Cut-and-Price and Large Neighborhood Search. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2023.
B. Shen, Z. Chen, J. Li, M. A. Cheema, D. Harabor and P. Stuckey. Beyond Pairwise Reasoning in Multi-Agent Path Finding. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2023.
Y. Zhang, M. C. Fontaine, V. Bhatt, S. Nikolaidis and J. Li. Multi-Robot Coordination and Layout Design for Automated Warehousing. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2023.
A. Paul, Y. Feng and J. Li. A Fast Rescheduling Algorithm for Real-Time Multi-Robot Coordination. In Proceedings of the Symposium on Combinatorial Search (SoCS), 2023.
J. Li. Efficient and Effective Techniques for Large-Scale Multi-Agent Path Finding. PhD thesis, Department of Computer Science, University of Southern California, Los Angeles (California), 2022.
J. Li, Z. Chen, D. Harabor, P. Stuckey and S. Koenig. MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
C. Leet, J. Li and S. Koenig. Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
S.-H. Chan, J. Li, G. Gange, D. Harabor, P. Stuckey and S. Koenig. Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
H. Zhang, J. Chen, J. Li, B. Williams and S. Koenig. Multi-Agent Path Finding for Precedence-Constrained Goal Sequences. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1464-1472, 2022.
X. Zhong, J. Li, S. Koenig and H. Ma. Optimal and Bounded-Suboptimal Multi-Goal Task Assignment and Path Finding. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2022.
S. Zhang, J. Li, T. Huang, S. Koenig and B. Dilkina. Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding. In Proceedings of the Symposium on Combinatorial Search (SoCS), 2022.
S. Varambally, J. Li and S. Koenig. Which MAPF Model Works Best for Automated Warehousing?. In Proceedings of the Symposium on Combinatorial Search (SoCS), 2022.
H. Zhang, Y. Li, J. Li, S. Kumar and S. Koenig. Mutex Propagation in Multi-Agent Path Finding for Large Agents. In Proceedings of the Symposium on Combinatorial Search (SoCS), 2022.
H. Zhang, J. Li, P. Surynek, S. Kumar and S. Koenig. Multi-Agent Path Finding with Mutex Propagation. Artificial Intelligence, 311, 103766, 2022.
C. Leet, J. Li and S. Koenig. Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 9386-9395, 2022.
Q. Xu, J. Li, S. Koenig and H. Ma. Multi-Goal Multi-Agent Pickup and Delivery. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), 9964-9971, 2022.
J. Li, D. Harabor, P. Stuckey, H. Ma, G. Gange and S. Koenig. Pairwise Symmetry Reasoning for Multi-Agent Path Finding Search. Artificial Intelligence, 301, 103574, 2021.
J. Li, Z. Chen, D. Harabor, P. Stuckey and S. Koenig. Anytime Multi-Agent Path Finding via Large Neighborhood Search. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 4127-4135, 2021.
J. Li, W. Ruml and S. Koenig. EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 12353-12362, 2021.
J. Li, A. Tinka, S. Kiesel, J. Durham, S. Kumar and S. Koenig. Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 11272-11281, 2021.
J. Li, Z. Chen, Y. Zheng, S.-H. Chan, D. Harabor, P. Stuckey, H. Ma and S. Koenig. Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 477-485, 2021.
H. Zhang, M. Yao, Z. Liu, J. Li, L. Terr, S.-H. Chan, S. Kumar and S. Koenig. A Hierarchical Approach to Multi-Agent Path Finding. In ICAPS-21 Workshop on Hierarchical Planning (HPLAN), 2021.
T. Walker, N. Sturtevant, A. Felner, H. Zhang, J. Li and S. Kumar. Conflict-Based Increasing Cost Search. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 385-395, 2021.
J. Chen, J. Li, C. Fan and B. Williams. Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 11237-11245, 2021.
Z. Chen, D. Harabor, J. Li and P. Stuckey. Symmetry Breaking for k-Robust Multi-Agent Path Finding. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 12267-12274, 2021.
E. Boyarski, A. Felner, D. Harabor, P. Stuckey, L. Cohen, J. Li and S. Koenig. Iterative-Deepening Conflict-Based Search. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), (in print), 2020.
J. Li, G. Gange, D. Harabor, P. Stuckey, H. Ma and S. Koenig. New Techniques for Pairwise Symmetry Breaking in Multi-Agent Path Finding. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), (in print), 2020.
H. Zhang, J. Li, P. Surynek, S. Koenig and S. Kumar. Multi-Agent Path Finding with Mutex Propagation. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), (in print), 2020. Outstanding ICAPS Student Paper Award.
J. Li, K. Sun, H. Ma, A. Felner, S. Kumar and S. Koenig. Moving Agents in Formation in Congested Environments. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), (in print), 2020.
S.-H. Chan, J. Li, D. Harabor, P. Stuckey, G. Gange, L. Cohen and S. Koenig. Nested ECBS for Bounded-Suboptimal Multi-Agent Path Finding. In Proceedings of the IJCAI Workshop on Multi-Agent Path Finding, 2020.
J. Li, A. Tinka, S. Kiesel, J. Durham, S. Kumar and S. Koenig. Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), (in print), 2020.
P. Surynek, J. Li, H. Zhang, S. Kumar and S. Koenig. Mutex Propagation for SAT-Based Multi-Agent Path Finding. In Proceedings of the International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), 2020.
J. Li, A. Felner, E. Boyarski, H. Ma and S. Koenig. Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), (in print), 2019.
R. Stern, N. Sturtevant, A. Felner, S. Koenig, H. Ma, T. Walker, J. Li, D. Atzmon, L. Cohen, S. Kumar, E. Boyarski and R. Bartak. Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks [Position Paper]. In Proceedings of the Symposium on Combinatorial Search (SoCS), (in print), 2019.
J. Li, H. Zhang, M. Gong, Z. Liang, W. Liu, Z. Tong, L. Yi, R. Morris, C. Pasareanu and S. Koenig. Scheduling and Airport Taxiway Path Planning under Uncertainty. In Proceedings of the AIAA Aviation Forum and Exposition (AIAA), (in print), 2019.
H. Ma, D. Harabor, P. Stuckey, J. Li and S. Koenig. Searching with Consistent Prioritization for Multi-Agent Path Finding. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), (in print), 2019.
J. Li, P. Surynek, A. Felner, H. Ma, S. Kumar and S. Koenig. Multi-Agent Path Finding for Large Agents. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), (in print), 2019.
J. Li, D. Harabor, P. Stuckey, H. Ma and S. Koenig. Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), (in print), 2019.
M. Liu, H. Ma, J. Li and S. Koenig. Task and Path Planning for Multi-Agent Pickup and Delivery. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), (in print), 2019.
J. Wang, J. Li, H. Ma, S. Koenig and S. Kumar. A New Constraint Satisfaction Perspective on Multi-Agent Path Finding: Preliminary Results. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), (in print), 2019.
J. Li, D. Harabor, P. Stuckey, A. Felner, H. Ma and S. Koenig. Disjoint Splitting for Multi-Agent Path Finding with Conflict-Based Search. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), (in print), 2019.
H. Ma, G. Wagner, A. Felner, J. Li, S. Kumar and S. Koenig. Multi-Agent Path Finding with Deadlines. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 417-423, 2018.
A. Felner, J. Li, E. Boyarski, H. Ma, L. Cohen, S. Kumar and S. Koenig. Adding Heuristics to Conflict-Based Search for Multi-Agent Path Finding. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 83-87, 2018.
H. Ma, G. Wagner, A. Felner, J. Li, S. Kumar and S. Koenig. Multi-Agent Path Finding with Deadlines: Preliminary Results. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2004-2006, 2018.
H. Ma, J. Li, S. Kumar and S. Koenig. Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 837-845, 2017.

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(last updated in 2022)