Siyan Zhao
Hello! I’m a third-year PhD student in Computer Science at the University of California, Los Angeles. I am fortunate to be advised by Professor Aditya Grover.
My primary research interest lies in endowing machine learning algorithms with human-like reasoning and planning capabilities. Currently, I am particularly drawn to sequential decision-making, large language models, reinforcement learning, and generative models. Previously, I have worked on 3D perception and planning for autonomous driving.
Prior to joining UCLA, I obtained my bachelor’s degree from the Engineering Science, Machine Intelligence program at the University of Toronto.
recent updates
[09/2024] | Probing the Decision Boundaries of In-context Learning in LLM is accepted at NeurIPS 2024! |
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[08/2024] | Excited to receive the 2024 Amazon Fellowship. |
[01/2024] | Group Preference Optimization got accepted at ICLR 2024! |
[10/2023] | Decision Stacks got accepted at NeurIPS 2023! |
publications and preprints
- ICRA 2022Object Insertion Based Data Augmentation for Semantic SegmentationIEEE International Conference on Robotics and Automation (ICRA), 2022
- Preprint