S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. - Minghao She; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (ICANN (6), 2023)

S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. - Minghao She; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (CoRR, 2023)

CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model. - Jinming Lu; Minghao She; Wendong Mao; Zhongfeng Wang 001 (ISCAS, 2025)