Delay minimal policies in energy harvesting broadcast channels. - Minghan Fu; Ahmed Arafa 001; Sennur Ulukus; Wei Chen 002 (ICC, 2016)

Delay Minimal Policies in Energy Harvesting Communication Systems. - Ahmed Arafa 001; Tian Tong; Minghan Fu; Sennur Ulukus; Wei Chen 002 (IEEE Trans. Commun., 2018)

DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing. - Minghan Fu; Huan Liu 014; Yankun Yu; Jun Chen 005; Keyan Wang (CVPR Workshops, 2021)

A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning. - Yankun Yu; Huan Liu 014; Minghan Fu; Jun Chen 005; Xiyao Wang; Keyan Wang (CVPR Workshops, 2021)

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. - Yuekun Dai; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Qingpeng Zhu; Qianhui Sun 002; Wenxiu Sun; Chen Change Loy; Jinwei Gu; Shuai Liu 009; Hao Wang 073; Chaoyu Feng; et al. (CVPR Workshops, 2023)

QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning. - Minghan Fu; Fang-Xiang Wu (CoRR, 2023)

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. - Minghan Fu; Meiyun Wang; Yaping Wu; Na Zhang 001; Yongfeng Yang; Haining Wang; Yun Zhou; Yue Shang; Fang-Xiang Wu; Hairong Zheng; Dong Liang 001; Zhanli Hu (IEEE J. Biomed. Health Informatics, 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, 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., 2023)

QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning. - Minghan Fu; Fang-Xiang Wu (AAAI, 2024)

NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Yidi Liu; Xingbo Wang; Yurui Zhu; Gege Shi; Xin Lu 006; Xueyang Fu; Zheng-Jun Zha; Wei Dong 010; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CVPR Workshops, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CVPR Workshops, 2024)

NTIRE 2024 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Zongwei Wu; Cailian Chen; Radu Timofte; Wei Dong; Han Zhou; Yuqiong Tian; Jun Chen; Xueyang Fu; Xin Lu 006; et al. (CVPR Workshops, 2024)

SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. - Minghan Fu; Ming Fang; Rayyan Azam Khan; Bo Liao; Zhanli Hu; Fang-Xiang Wu (Artif. Intell. Medicine, 2024)

Deep integrated fusion of local and global features for cervical cell classification. - Ming Fang; Minghan Fu; Bo Liao; Xiujuan Lei; Fang-Xiang Wu (Comput. Biol. Medicine, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CoRR, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CoRR, 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 001; Zhenxing Huang; Chao Zhou; Xu Zhang; Jianmin Yuan; Qiang He; Yongfeng Yang; Hairong Zheng; Dong Liang 001; Fang-Xiang Wu; Wei Fan; et al. (IEEE Trans. Medical Imaging, 2024)