Biography
Born in 1991, Jin Hong received his Ph.D. degree from Sun Yat-sen University, and was a joint Ph.D. student at the University of Leicester (UK) supervised by Prof. Yudong Zhang (Changjiang Scholar). He was a postdoctoral fellow at The Chinese University of Hong Kong supervised by Prof. Weitian Chen. He is a full member of Sigma Xi, The Scientific Research Honor Society (since 2023). Currently, he is an Associate Professor at the School of Artificial Intelligence, Nanchang University. His research interests are deep learning and medical image analysis.
He has hosted 1 National Natural Science Foundation of China (NSFC) project and 1 Jiangxi Provincial Natural Science Foundation project, and participated in 3 NSFC projects. He has published over 40 papers in journals and conferences, including 23 as first/corresponding author in SCI journals such as Knowledge-Based Systems, Applied Soft Computing, Neural Networks, IEEE Transactions on Consumer Electronics, Computers in Biology and Medicine, etc. His Google Scholar citations exceed 1318, with an H-index of 18.
News!!!
- Congratulations to undergraduate student Jiawei Liu from our research group for publishing a paper in Displays! 2026/05/06
- Congratulations to our research group on the collaborative publication with Prof. Shuqiang Wang from Shenzhen Institute of Advanced Technology in IEEE Transactions on Consumer Electronics, an internationally authoritative journal! 2026/03/22
- Congratulations to undergraduate student Xianye Xiao from our research group for publishing a paper in Neural Networks! 2025/12/31
- Congratulations to undergraduate student Yulong Zou from our research group for publishing a paper in Neural Networks! 2025/12/25
- Congratulations to our research group on the collaborative publication with Prof. Weitian Chen from the Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong in Neural Networks ! 2025/11/15
- Congratulations to undergraduate student Jilan Cheng from our research group for publishing a paper in Neural Networks! 2025/10/02
- Congratulations to undergraduate student Bo Liu from our research group for publishing a paper in Neural Networks! 2025/09/13
- Congratulations to the team leader for exceeding 1000 citations on Google Scholar! 2025/08/22
- Congratulations to undergraduate student Zhenjia Qi from our research group for publishing a paper in Frontiers in Cell and Developmental Biology! 2025/05/12
Education & Work Experience
- 2023.07 – Present Associate Professor, School of Artificial Intelligence, Nanchang University
- 2022.10 – 2023.07 Assistant Researcher, Guangdong Provincial People's Hospital
- 2020.11 – 2021.11 Postdoc, The Chinese University of Hong Kong
- 2018.05 – 2018.11 Joint Ph.D., University of Leicester (UK)
- 2017.09 – 2020.06 Ph.D., Sun Yat-sen University
- 2013.09 – 2016.06 M.Eng., China University of Geosciences (Wuhan)
- 2009.09 – 2013.06 B.S., China University of Geosciences (Wuhan)
Research Projects
- NSFC Regional Project (62466033): Multi-source unsupervised domain adaptation for cardiac CT image segmentation and its application in 3D visualization-based surgical planning (2025–2028), Host
- Jiangxi Provincial NSF (20242BAB20070): Domain Adaptation for Multi-center Medical Image Segmentation (2024–2027), Host
Academic Services
Editorial Board: International Journal of Science, Technology and Society; Brain-X (Youth Editor)
Guest Editor: Frontiers in Human Neuroscience, Frontiers in Neuroanatomy, Frontiers in Computational Neuroscience, Journal of Visualized Experiments, BIOCELL, Applied Sciences, Intelligence & Robotics, Technology in Cancer Research & Treatment
Reviewer: Information Fusion, Neural Networks, Expert Systems with Applications, Neurocomputing, IEEE Sensors Journal, Biomedical Signal Processing and Control, etc.
Publications | The first/corresponding author
[23] Jiawei Liu, Zhijiang Wan, Junhua Hu, Rongli Zhang, Zhongbiao Xu, Yankun Cao, Yuan Chen*, Jin Hong*. FSS-Net: Frequency-Spatial Synergy Network with Wavelet Attention for Carotid Artery Ultrasound Segmentation. Displays, 2026, 103523. DOI: 10.1016/j.displa.2026.103523.
[22] Qiankun Zuo, Bangjun Lei, Changhong Jing, Jin Hong*, Shuqiang Wang*. Generative AI Enables Structural Brain network Construction from fMRI via Symmetric Diffusion Learning. IEEE Transactions on Consumer Electronics, 2026, 3677325. DOI: 10.1109/TCE.2026.3677325.
[21] Xianye Xiao, Yulong Zou, Yujie Luo, Taihui Yu, Cun-Jing Zheng, Yuan-ming Geng, Shuihua Wang, Yudong Zhang, Jin Hong*. ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment. Neural Networks, 2026, 197: 108535. DOI: 10.1016/j.neunet.2025.108535.
[20] Yulong Zou, Bo Liu, Cun-Jing Zheng, Yuan-ming Geng, Siyue Li, Qiankun Zuo*, Shuihua Wang, Yudong Zhang, Jin Hong*. MGML: A Plug-and-Play Meta-Guided Multi-Modal Learning Framework for Incomplete Multimodal Brain Tumor Segmentation. Neural Networks, 2026, 197: 108525. DOI: 10.1016/j.neunet.2025.108525.
[19] Jin Hong*, Yang Bai, Yuxiu Sui, Junming Jian. Editorial: AI Innovations in Neurological and Psychiatric Disorder Management: Diagnosis to Treatment. Frontiers in Human Neuroscience, 2025, 19: 1759844. DOI: 10.3389/fnhum.2025.1759844.
[18] Siyue Li, Yongcheng Yao, Junru Zhong, Shutian Zhao, Fan Xiao, Tim-Yun Michael Ong, Ki-Wai Kevin Ho, James F. Griffith, Yudong Zhang, Shuihua Wang, Jin Hong*, Weitian Chen*. ERANet: Edge Replacement Augmentation for Semi-Supervised Meniscus Segmentation with Prototype Consistency Alignment and Conditional Self-Training. Neural Networks, 2026, 196: 108337. DOI: 10.1016/j.neunet.2025.108337.
[17] Jilan Cheng, Guoli Long, Zeyu Zhang, Zhenjia Qi, Hanyu Wang, Libin Lu, Yudong Zhang, Shuihua Wang, Jin Hong*. WaveNet-SF: A Hybrid Network for Retinal Disease Detection Based on Wavelet Transform in Spatial-Frequency Domain. Neural Networks, 2026, 194: 108189. DOI: 10.1016/j.neunet.2025.108189.
[16] Bo Liu, Yudong Zhang, Shuihua Wang, Siyue Li, Jin Hong*. DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation. Neural Networks, 2026, 194: 108118. DOI: 10.1016/j.neunet.2025.108118.
[15] Zhenjia Qi, Jin Hong*, Jilan Cheng, Guoli Long, Hanyu Wang, Siyue Li, Shuangliang Cao*. MSLI-Net: Retinal Disease Detection Network Based on Multi-segment Localization and Multi-scale Interaction. Frontiers in Cell and Developmental Biology, 2025, 05:1608325. DOI: 10.3389/fcell.2024.1608325.
[14] Qiankun Zuo, Hao Tian*, Yudong Zhang, Jin Hong*. Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis. Computers in Biology and Medicine, 2025, 109898. DOI: 10.1016/j.compbiomed.2025.109898.
[13] Qiankun Zuo, Zhengkun Shi, Bo Liu, Na Ping, Jiangtao Wang, Xi Cheng, Kexin Zhang, Jia Guo*, Yixian Wu, Jin Hong*. Multi-resolution Visual Mamba with Multi-directional Selective Mechanism for Retinal Disease Detection. Frontiers in Cell and Developmental Biology, 2024, 12:1484880. DOI: 10.3389/fcell.2024.1484880.
[12] Zhijiang Wan, Qianhao Yu, Wujie Dai, Siyue Li*, Jin Hong*. Data Generation for Enhancing EEG-Based Emotion Recognition: Extracting Time-Invariant and Subject-Invariant Components with Contrastive Learning. IEEE Transactions on Consumer Electronics, 2024, 3414154. DOI:10.1109/TCE.2024.3414154.
[11] Le Gao, Yun Long*, Xin Zhang, Hexing Su, Yong Yu, Jin Hong*. Autism Spectrum Disorders Detection Based on Multi-Task Transformer Neural Network. BMC Neuroscience, 2024, 870. DOI: 10.1186/s12868-024-00870-3.
[10] Siyue Li, Shutian Zhao, Yudong Zhang, Jin Hong*, Weitian Chen*. Source-free Unsupervised Adaptive Segmentation for Knee Joint MRI. Biomedical Signal Processing and Control, 2024, 106028. DOI: 10.1016/j.bspc.2024.106028.
[9] Hexing Su, Le Gao*, Yichao Lu, Han Jing, Jin Hong*, Li Huang, Zequn Chen. Attention-Guided Cascaded Network with Pixel-Importance-Balance Loss for Retinal Vessel Segmentation. Frontiers in Cell and Developmental Biology, 2023, 1196191. DOI: 10.3389/fcell.2023.1196191.
[8] Qiankun Zuo, Junhua Hu, Junren Pan, Yu-Dong Zhang*, Changhong Jing, Xuhang Chen, Xiaobo Meng, Jin Hong*. Brain Functional Network Generation with Distribution-regularized Adversarial Graph Autoencoder for Dementia Diagnosis. Computer Modeling in Engineering & Sciences, 2023, 028732. DOI: 10.32604/cmes.2023.028732.
[7] Jin Hong, Yu-Dong Zhang, Weitian Chen. Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation. Knowledge-Based Systems, 2022, 250: 109155. DOI: 10.1016/j.knosys.2022.109155.
[6] Jin Hong, Simon Chun Ho Yu, Weitian Chen. Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning. Applied Soft Computing, 2022, 121: 108729. DOI: 10.1016/j.asoc.2022.108729.
[5] Jin Hong, Zhang-Zhi Feng, Shui-Hua Wang, Andrew Peet, Yu-Dong Zhang, Yu Sun, Ming Yang. Brain Age Prediction of Children Using Routine Brain MR Images via Deep Learning. Frontiers in Neurology, 2020. DOI: 10.3389/fneur.2020.584682.
[4] Jin Hong, Jie Liu. Rapid estimation of permeability from digital rock using 3D convolutional neural network. Computational Geosciences, 2020, 24: 1523–1539. DOI: 10.1007/s10596-020-09941-w.
[3] Jin Hong, Hong Cheng, Yu-Dong Zhang, Jie Liu. Detecting cerebral microbleeds with transfer learning. Machine Vision and Applications, 2019, 30(7): 1123-1133. DOI: 10.1007/s00138-019-01029-5.
[2] Jin Hong, Hong Cheng, Shui-Hua Wang, Jie Liu. Improvement of cerebral microbleeds detection based on discriminative feature learning. Fundamenta Informaticae, 2019, 168(2-4): 231-248. DOI: 10.3233/FI-2019-1830.
[1] Jin Hong, Shui-Hua Wang, Hong Cheng, Jie Liu. Classification of cerebral microbleeds based on fully-optimized convolutional neural network. Multimedia Tools and Applications, 2018, 79: 15151–15169. DOI: 10.1007/s11042-018-6862-z.
