Minghan Fu

According to our database, Minghan Fu authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.

Minghan Fu, Na Zhang, Zhenxing Huang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu

IEEE Trans. Medical Imaging, April, 2024

QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning.

Minghan Fu, Fang-Xiang Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Analysis of Mesoscale Eddy Merging in the Subtropical Northwest Pacific Using Satellite Remote Sensing Data.

Minghan Fu, Changming Dong, Jihai Dong, Wenjin Sun

Remote. Sens., September, 2023

A multi-modal deep neural network for multi-class liver cancer diagnosis.

Rayyan Azam Khan, Minghan Fu, Brent Burbridge, Yigang Luo, Fang-Xiang Wu

Neural Networks, August, 2023

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.

Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu

IEEE J. Biomed. Health Informatics, June, 2023

QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning.

Minghan Fu, Fang-Xiang Wu

CoRR, 2023

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results.

Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning.

Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang

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

DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing.

Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang

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

2018

Delay Minimal Policies in Energy Harvesting Communication Systems.

Ahmed Arafa, Tian Tong, Minghan Fu, Sennur Ulukus, Wei Chen

IEEE Trans. Commun., 2018

2016

Delay minimal policies in energy harvesting broadcast channels.

Minghan Fu, Ahmed Arafa, Sennur Ulukus, Wei Chen

Proceedings of the 2016 IEEE International Conference on Communications, 2016