CV
Education, research and internship experience, honors, and skills.
Education
University of Michigan · Ph.D. · 2026 — Present
Ph.D. student, advised by Prof. Qing Qu.
University of Michigan · M.S. in ECE · 2024 — 2026
Signal, Image Processing & Machine Learning. GPA: 4.00 / 4.00.
UESTC · B.E. in Electronic Information Engineering · 2020 — 2024
GPA: 3.76 / 4.00; major GPA: 3.98 / 4.00; major rank: 2 / 42.
Research & Experience
Graduate Research Assistant · University of Michigan · 2024.09 — Present
Advised by Prof. Qing Qu.
- Studied generalization degradation and memorization under recursive training on synthetic data; related work received a NeurIPS 2025 Spotlight.
- Investigated the connection between data entropy and generalization, and developed data selection methods to mitigate model collapse.
- Worked on diffusion-based Sim2Real adaptation for human detection in UAV imagery.
AIGC Research Intern · Shengshu AI · 2024.04 — 2024.07
Beijing, China.
- Researched identity-consistent image and video generation, temporal attention, and diffusion representation alignment.
Research Intern · Baidu Research · 2023.11 — 2024.04
Beijing, China.
- Worked on video editing with Diffusion Transformers and multimodal conditioning for U-ViT.
- Built a poster dataset and fine-tuned LLaVA with DPO.
- Conducted image-outpainting experiments for VIP, published at ACCV 2024.
Teaching Assistant · UESTC · 2023.08 — 2024.02
Course 3036: AI & Machine Learning.
- Led weekly labs, designed assignments, and mentored 90 students.
Honors & Awards
- 2023.12 · Third Prize, Greater Bay Area (Huangpu) International Algorithm Competition
- 2023, 2022, 2021 · UESTC Academic Merit Scholarship
- 2023.09 · UESTC Most Contributive Student Scholarship
- 2022.09 · Third Prize, National College Student Embedded Systems Design Contest
Skills
Python · C / C++ · MATLAB · PyTorch · Diffusers · Hugging Face · OpenCV · scikit-learn · Git · Docker · SLURM · Bash