Li, Po-han, Sandeep P. Chinchali, and Ufuk Topcu. "CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features." International Conference on Learning Representations (2025).
Omama, Mohammad, Po-han Li, and Sandeep P. Chinchali. "Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval." International Conference on Learning Representations (2025).
Akcin, Oguzhan, et al. "Fleet Supervisor Allocation: A Submodular Maximization Approach." 8th Annual Conference on Robot Learning.
Akcin, Oguzhan, et al. "ControlPay: An Adaptive Payment Controller for Blockchain Economies." 2024 IEEE International Conference on Blockchain (Blockchain). IEEE, 2024.
Sai Shankar Narasimhan, Sharachchandra Bhat, & Sandeep P. Chinchali. (2023). Safe Networked Robotics via Formal Verification.
Oguzhan Baser, Kaan Kale, & Sandeep Chinchali. (2024). SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures. In Proceedings of INTERSPEECH 2024.
Open-source code
A. Narayanan, P. Kasibhatla, M. Choi, P. -H. Li, R. Zhao and S. Chinchali, "PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems," 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Open-source code
Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, & Hyeji Kim. (2023). Task-aware Distributed Source Coding under Dynamic Bandwidth.
Open-source code
Oguzhan Akcin, Orhan Unuvar, Onat Ure, & Sandeep Chinchali. (2023). Fleet Active Learning: A Submodular Maximization Approach. In Proceedings of The 7th Conference on Robot Learning.
Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, & Sandeep Chinchali. (2023). Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach. In Proceedings of The 6th Conference on Robot Learning (pp. 978–988). PMLR.