Education

CMU
M.S. Electrical and Computer Engineering
Carnegie Mellon University, 2023 — 2024
GPA 3.83 / 4.00
Advanced Computer Vision, Visual Learning, Multi-modal ML, Deep Generative Modeling
UESTC
B.E. Communication Engineering
University of Electronic Science and Technology of China, 2018 — 2022
GPA 3.84 / 4.00
Calculus, Linear Algebra, Probability and Statistics, Signal and System

Academic Projects

Course Project Fall 2024
Stage-Aware Vision-and-Language Navigation
Advisor: Daniel Fried
– Weighted angular distance loss for navigation decisions
– LLM-based instruction paraphrasing for data augmentation
– 53.2% SR on unseen environments (R2R)
Course Project Spring 2024
Zero-Shot Text-to-Video Generation
Advisor: Giulia Fanti
– LLM-based prompt elaboration + few-shot frame consistency
– CLIP: 30.4 (ours) vs 29.6 (baseline)
Course Project Spring 2024
Light-weight Transformer for Next Word Prediction
Advisor: Yuejie Chi
– Knowledge distillation on Daily Dialog (21,976 tokens)
– Perplexity: 35, comparable to GPT-2