SIAM Journal on Mathematics of Data Science · 2022
Cited
17
Resume (English only)
Academic Achievements
Paper 'DRAGON: Distributional Rewards Optimize Diffusion Generative Models' accepted to Transactions on Machine Learning Research (TMLR) in October 2025.
Paper 'Ranking Manipulation for Conversational Search Engines' accepted to EMNLP 2024 with Oral presentation (top 10%).
Ph.D. dissertation titled 'Efficient and Reliable Optimization for Deep Learning and Media Generation' filed and defended in May 2025.
Developed key projects: ConsistencyTTA (accelerating diffusion-based text-to-audio), DRAGON (aligning text-to-music via distributional rewards), RAGDOLL (analyzing LLM vulnerabilities in conversational search), MixedNUTS and Adaptive Smoothing (addressing accuracy-robustness trade-off), and convex optimization algorithms for neural networks with global optimality guarantees.
Recipient of UC Berkeley’s Outstanding Graduate Student Instructor (OGSI) Award for 2024–2025.
Served as reviewer for ICML 2025 (6 papers), ICLR 2025 (3 papers), TMLR (2 papers), and SIMODS (1 paper).