Unregularized Auto-Encoder with Generative Adversarial Networks for Image Generation. - Jiayu Wang; Wengang Zhou 001; Jinhui Tang 001; Zhongqian Fu; Qi Tian 001; Houqiang Li (ACM Multimedia, 2018)

Transformation GAN for Unsupervised Image Synthesis and Representation Learning. - Jiayu Wang; Wengang Zhou 001; Guo-Jun Qi; Zhongqian Fu; Qi Tian 001; Houqiang Li (CVPR, 2020)

Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. - Matteo Maggioni; Yibin Huang; Cheng Li; Shuai Xiao; Zhongqian Fu; Fenglong Song (CVPR, 2021)

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. - Ren Yang; Radu Timofte; Jing Liu 031; Yi Xu 003; Xinjian Zhang; Minyi Zhao; Shuigeng Zhou; Kelvin C. K. Chan; Shangchen Zhou; Xiangyu Xu 002; Chen Change Loy; Xin Li 106; et al. (CoRR, 2021)

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Kim Byeoung-su; Radu Timofte; Angeline Pouget; Fenglong Song; Cheng Li 009; Shuai Xiao; Zhongqian Fu; Matteo Maggioni; Yibin Huang; Shen Cheng; Xin Lu 006; et al. (CoRR, 2021)

GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? - Ning Ding; Yehui Tang; Zhongqian Fu; Chao Xu 006; Kai Han 002; Yunhe Wang 001 (CoRR, 2023)

GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task. - Ning Ding; Yehui Tang; Zhongqian Fu; Chao Xu 006; Kai Han 002; Yunhe Wang 001 (WWW (Companion Volume), 2025)

EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization. - Zhongqian Fu; Ning Ding; Kai Han 002; Xianzhi Yu; Xiaosong Li; Xinghao Chen 001; Yehui Tang; Yunhe Wang 001 (CoRR, 2025)