Weighted ensemble learning prediction for blind symmetrically distorted stereoscopic images. - Da Pan 001; Ping Shi 001; Dixiu Zhong; Ming Hou; Zefeng Ying; Sizhe Fu (ICSAI, 2017)

Blind Predicting Similar Quality Map for Image Quality Assessment. - Da Pan 001; Ping Shi 001; Ming Hou; Zefeng Ying; Sizhe Fu; Yuan Zhang (CVPR, 2018)

A Comprehensive Survey on Image Aesthetic Quality Assessment. - Hongtao Yang; Ping Shi 001; Saike He; Da Pan 001; Zefeng Ying; Ling Lei (ICIS, 2019)

Blind Image Quality Assessment of Natural Distorted Image Based on Generative Adversarial Networks. - Hongtao Yang; Ping Shi 001; Dixiu Zhong; Da Pan 001; Zefeng Ying (IEEE Access, 2019)

Quality Difference Ranking Model For Smartphone Camera Photo Quality Assessment. - Zefeng Ying; Da Pan 001; Ping Shi 001 (ICME Workshops, 2020)

CCDaS: A Benchmark Dataset for Cartoon Character Detection in Application Scenarios. - Zelu Qi; Da Pan 001; Tianyi Niu; Zefeng Ying; Ping Shi 001 (IFTC (2), 2023)

Blind Video Quality Assessment for Ultra-High-Definition Video Based on Super-Resolution and Deep Reinforcement Learning. - Zefeng Ying; Da Pan 001; Ping Shi 001 (Sensors, 2023)

ESTGN: Enhanced Self-Mined Text Guided Super-Resolution Network for Superior Image Super Resolution. - Qipei Li; Zefeng Ying; Da Pan 001; Zhaoxin Fan; Ping Shi 001 (ICASSP, 2024)

DefocusSR: An Efficient Framework for Defocus Image Super-Resolution Guided by Depth Information. - Qirong Liang; Da Pan 001; Zefeng Ying; Ping Shi 001 (ICASSP, 2024)

Bridge the gap between practical application scenarios and cartoon character detection: A benchmark dataset and deep learning model. - Zelu Qi; Da Pan 001; Tianyi Niu; Zefeng Ying; Ping Shi 001 (Displays, 2024)

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model. - Zelu Qi; Ping Shi 001; Chaoyang Zhang; Shuqi Wang; Fei Zhao; Da Pan 001; Zefeng Ying (CVPR Workshops, 2025)

DefocusSR2: An efficient depth-guided and distillation-based framework for defocus images super-resolution. - Qipei Li; Da Pan 001; Zefeng Ying; Qirong Liang; Ping Shi 001 (Displays, 2025)

Comprehensive Subjective and Objective Evaluation Method for Text-generated Video. - Zelu Qi; Ping Shi 001; Shuqi Wang; Zhaoyang Zhang; Zefeng Ying; Da Pan 001 (CoRR, 2025)