Kushal Sharma, Ang Li, Malcolm White and T. K. Satish Kumar (2023). A Study of Distance Functions in FastMapSVM for Classifying Seismograms. Proceedings of the Twenty-Second IEEE International Conference on Machine Learning and Applications (ICMLA 2023).

Ang Li, Peter Stuckey, Sven Koenig and T. K. Satish Kumar (2023). A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality. Proceedings of the Ninth International Conference on Machine Learning, Optimization, and Data Science (LOD 2023).

Kexin Zheng, Ang Li, Han Zhang and T. K. Satish Kumar (2023). FastMapSVM for Predicting CSP Satisfiability. Proceedings of the Twenty-Ninth International Conference on Principles and Practice of Constraint Programming (CP 2023).

Malcolm White, Kushal Sharma, Ang Li, T. K. Satish Kumar and Nori Nakata (2023). Classifying Seismograms Using the FastMap Algorithm and Support-Vector Machines. Nature Communications Engineering (NATURE COMMSENG 2023).

Omkar Thakoor, Ang Li, Sven Koenig, Srivatsan Ravi, Erik Kline, and T. K. Satish Kumar. The FastMap Pipeline for Facility Location Problems. Proceedings of the Twenty-Fourth International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2022).

Yuling Guan, Ang Li, Sven Koenig, Stephan Haas, and T. K. Satish Kumar. FastPivot: An Algorithm for Inverse Problems. Proceedings of the​ Eighteenth Eighteenth IEEE International Conference on Automation Science and Engineering (CASE 2022).

Ang Li, Peter Stuckey, Sven Koenig and T. K. Satish Kumar. A FastMap-Based Algorithm for Block Modeling. Proceedings of the Nineteenth International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2022).

Malcolm White, Kushal Sharma, Ang Li, T. K. Satish Kumar and Nori Nakata (2022). FastMapSVM: Classifying Complex Objects Using the FastMap Algorithm and Support-Vector Machines. arXiv preprint arXiv:2204.05112.

Yuan Shi, Ang Li, T. K. Satish Kumar, and Craig A. Knoblock. Building Survivable Software Systems by Automatically Adapting to Sensor Changes. Special Issue Article on Advances in Aerial, Space, and Underwater Robotics in Journal of Applied Sciences (JAS 2021).

Yuling Guan, Ang Li, Sven Koenig, Stephan Haas and T. K. Satish Kumar. Hysteresis in Combinatorial Optimization Problems. Proceedings of the International FLAIRS Conference (FLAIRS 2021).

Ang Li, Yuling Guan, Sven Koenig, Stephan Haas and T. K. Satish Kumar. Generating the Top K Solutions to Weighted CSPs: A Comparison of Different Approaches. Proceedings of the Thirty-Second IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020).