Zhongqian Fu

According to our database, Zhongqian Fu authored at least 12 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks.

Haoyu Huang, Boyu Liu, Linlin Yang, Yanjing Li, Yuguang Yang, Xuhui Liu, Canyu Chen, Zhongqian Fu, Baochang Zhang

CoRR, May, 2026

An Empirical Study of World Model Quantization.

Zhongqian Fu, Tianyi Zhao, Kai Han, Hang Zhou, Xinghao Chen, Yunhe Wang

CoRR, February, 2026

Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond.

Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

EFlat-LoRA: Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond.

Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang

CoRR, August, 2025

EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization.

Zhongqian Fu, Ning Ding, Kai Han, Xianzhi Yu, Xiaosong Li, Xinghao Chen, Yehui Tang, Yunhe Wang

CoRR, June, 2025

GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task.

Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2023

GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?

Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang

CoRR, 2023

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, Shuai Xiao, Zhongqian Fu, Matteo Maggioni, Yibin Huang, Shen Cheng, Xin Lu, Yifeng Zhou, Liangyu Chen, Donghao Liu, Xiangyu Zhang, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Bin Huang, Tianbao Zhou, Shuai Liu, Lei Lei, Chaoyu Feng, Liguang Huang, Zhikun Lei, Feifei Chen

CoRR, 2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.

Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang

CoRR, 2021

Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion.

Matteo Maggioni, Yibin Huang, Cheng Li, Shuai Xiao, Zhongqian Fu, Fenglong Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Transformation GAN for Unsupervised Image Synthesis and Representation Learning.

Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, Houqiang Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Unregularized Auto-Encoder with Generative Adversarial Networks for Image Generation.

Jiayu Wang, Wengang Zhou, Jinhui Tang, Zhongqian Fu, Qi Tian, Houqiang Li

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018