Yisong Yue
Yisong Yue is a professor of Computing and Mathematical Sciences at the California Institute of Technology. He was previously a research scientist at Disney Research. Before that, he was a postdoctoral researcher in the Machine Learning Department and the iLab at Carnegie Mellon University. He received a Ph.D. from Cornell University and a B.S. from the University of Illinois at Urbana-Champaign.
Yisong's research is centered on developing practical theory of machine learning that pushes principled algorithm design towards real-world applications. In the past, his research has been applied to information retrieval, recommender systems, text classification, learning from rich user interfaces, analyzing implicit human feedback, data-driven animation, behavior analysis, sports analytics, experiment design for science, protein engineering, program synthesis, learning-accelerated optimization, robotics, and adaptive planning & allocation problems.
Publications
- Laubscher, Emily;Wang, Xuefei (Julie) et al. (2024) Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learningCell Systems
- Israel, Uriah;Marks, Markus et al. (2024) A Foundation Model for Cell SegmentationbioRvix
- Yang, Jason;Ducharme, Julie et al. (2024) Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering"ACS Synthetic Biology
- Talukder, Sabera;Yue, Yisong et al. (2024) TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
- Dorobantu, Victor D.;Azizzadenesheli, Kamyar et al. (2023) Compactly Restrictable Metric Policy Optimization ProblemsIEEE Transactions on Automatic Control
- Voloshin, Cameron;Verma, Abhinav et al. (2023) Eventual Discounting Temporal Logic Counterfactual Experience Replay
- Sun, Jennifer J.;Karashchuk, Pierre et al. (2022) BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
- Huang, Yujia;Jimenez Rodriguez, Ivan Dario et al. (2022) FI-ODE: Certified and Robust Forward Invariance in Neural ODEs
- Sun, Jennifer J.;Tjandrasuwita, Megan et al. (2022) Neurosymbolic Programming for Science
- Tucker, Maegan;Li, Kejun et al. (2022) POLAR: Preference Optimization and Learning Algorithms for Robotics