NeurIPS 2025: Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control
CVPR 2025: BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers
AAAI 2025: AdaDiff: Adaptive Step Selection for Fast Diffusion Models
TPAMI 2025: DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
CVPR 2023: Prototypical Residual Networks for Anomaly Detection and Localization
2023.12, First Class Award Scholarship, Fudan University (Top 10%, PhD)
2022.12, Excellent Academic Scholarship, Fudan University (Top 5%, Master)
2021.03, Perfect Score (150/150) in Mathematics, Nationwide Master’s Program Unified Admissions Examination (Top 0.1%, Nationally)
2019.12, National Scholarship of China (Top 1%)
2019.07, Second Prizes, 15th ‘BoChuang Cup’ National College Students Embedded Design Contest (Top 3%)
2019.05, Second Prizes, 10th “Blue Bridge Cup” National C/C++ Programming Contest (Top 2%)
Education
Ph.D. Candidate at the School of Computer Science, Fudan University, supervised by Prof. Zuxuan Wu and Prof. Yu-Gang Jiang, expected to graduate in 2026.
Background
Research interests: Computer vision and deep learning. Current research focuses on unified model for generation and understanding, image generation, and video generation. Previous research focused on anomaly detection.
Miscellany
Actively seeking internship and job opportunities.