Explaining Knowledge Distillation by Quantifying the Knowledge. - Xu Cheng 005; Zhefan Rao; Yilan Chen 002; Quanshi Zhang (CVPR, 2020)

Neural Image Popularity Assessment with Retrieval-augmented Transformer. - Liya Ji; Chan Ho Park; Zhefan Rao; Qifeng Chen (ACM Multimedia, 2023)

Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. - Quanshi Zhang; Xu Cheng 005; Yilan Chen 002; Zhefan Rao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging. - Liya Ji; Zhefan Rao; Sinno Jialin Pan; Chenyang Lei; Qifeng Chen (AAAI, 2024)

ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration. - Yuen-Fui Lau; Tianjia Zhang; Zhefan Rao; Qifeng Chen (WACV, 2024)

ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement. - Zhefan Rao; Liya Ji; Yazhou Xing; Runtao Liu; Zhaoyang Liu 001; Jiaxin Xie; Ziqiao Peng; Yingqing He; Qifeng Chen (CoRR, 2024)

Robust Portrait Image Matting and Depth-of-field Synthesis via Multiplane Images. - Zhefan Rao; Tianjia Zhang; Yuen-Fui Lau; Qifeng Chen (WACV, 2025)