Scholar
Siyan Zhao
Google Scholar ID: Q7c4FaYAAAAJ
University of California Los Angeles
Citations & Impact
Citations
165
H-index
6
i10-index
6
Publications
13
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'd1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning' accepted at NeurIPS 2025 as spotlight; 'Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs' accepted to ICLR 2025 as oral presentation; 'Probing the Decision Boundaries of In-context Learning in LLMs' accepted at NeurIPS 2024 and won the best paper award at the Foundation Model Interventions Workshop, NeurIPS 2024; received the 2024 Amazon Fellowship.
Research Experience
- Before my PhD, I worked on 3D perception and RL algorithms for autonomous driving agents.
Education
- Bachelor’s degree from the Engineering Science (Machine Intelligence program) at the University of Toronto. Currently a PhD student in Computer Science at UCLA, advised by Professor Aditya Grover.
Background
- A 4th-year PhD student in Computer Science at UCLA, advised by Professor Aditya Grover. My primary research interest lies in endowing machines with human-like reasoning and efficiency. Recent research focuses on understanding and scaling (diffusion) LLM reasoning via RL, efficient preference alignment & personalization, and LLM inference efficiency & modular design for RL.
Co-authors