丁紅衛,男,1992年7月10日,工學博士,講師,碩士生導師。
聯系方式
聯系電話:15623067863
電子郵件:dinghongwei@neuq.edu.cn或hwding@whu.edu.cn
研究方向
目前主要從事人工智能、不平衡學習、數據增強、生成模型、圖像處理及多模態數據挖掘等方向的研究。課題組常年招收碩士研究生和本科實習生,歡迎對科研充滿熱情、有探索精神的同學加入我們,共同開展科研工作!
教育背景
2019.09-2023.12 武漢大學 國家網絡安全學院 博士
工作履歷
2024.01-至今 威尼斯wnsr9778秦皇島分校,計算機與通信工程學院,講師
學術兼職
擔任IEEE TKDE、TEVC、IEEE TNNLS、IEEE TIFS、IEEE TII、KBS和IPM等多個著名國際期刊審稿人,IEEE Member。
科研情況
【在研項目】
1.河北省自然科學基金-青年科學基金項目,2024.01-2026.12,主持
2.威尼斯wnsr9778人才專項科研啟動基金項目,2024.03-2029.03,主持
3.中央高校基本科研業務費項目,2024.01-2025.12,主持
獎勵與榮譽
2020年“創客中國”人工智能中小企業創新創業大賽,總決賽二等獎
2021年 武漢大學-珞格-天佑獎學金
2022年 武漢大學-學術創新獎學金
2024年 武漢大學-優秀畢業生
學術成果
【論文、專著與專利等】
近五年已發表論文40余篇,其中第一作者/通訊作者論文20余篇,包含高被引論文2篇, Top期刊10余篇。Google學術被引總頻次超過900次,H-index為14。申請專利4項,已獲授權3項。Google學術主頁:https://scholar.google.com.sg/citations?hl=zh-CN&user=G6nyIvwAAAAJ。個人/實驗室學術主頁:https://hwding-whu.github.io/Portfolio/。
【代表性學術論文】
1. Ding Hongwei,Huang Nana,Tao Qi,Liang Jiaqi,Cui Xiaohui. Balancing Act: MDGAN for Imbalanced Tabular Data Synthesis[J]. IEEE Transactions on Knowledge and Data Engineering, 2025. (中科院一區Top,CCF A刊)
2. Ding Hongwei, Sun Yu, Huang Nana, Shen Zhidong, Cui Xiaohui. TMG-GAN: Generative Adversarial Networks-Based Imbalanced Learning for Network Intrusion Detection[J]. IEEE Transactions on Information Forensics and Security, 2023.(中科院一區Top,CCF A刊,ESI高被引論文)
3. Ding Hongwei, Huang Nana, Wu Yaoxin, Cui Xiaohui. Improving Infrared Small Target Detection with GAN-Driven Data Augmentation[J]. IEEE Transactions on Multimedia, 2025.(中科院一區Top,CCF B刊)
4. Ding Hongwei, Huang Nana, Wu Yaoxin, Cui Xiaohui. Improving Imbalanced Medical Image Classification through GAN-based Data Augmentation Methods[J]. Pattern Recognition, 2025. (中科院一區Top,CCF B刊)
5. Ding Hongwei, Sun Yu, Wang Zhenyu, Huang Nana, Shen Zhidong, Cui Xiaohui. RGAN-EL: A GAN and ensemble learning-based hybrid approach for imbalanced data classification[J]. Information Processing & Management, 2023.(中科院一區Top,CCF B刊)
6. Ding Hongwei, Sun Yu, Huang Nana, Shen Zhidong, Wang Zhenyu, Iftekhar Adnan, Cui Xiaohui. RVGAN-TL: A generative adversarial networks and transfer learning-based hybrid approach for imbalanced data classification[J]. Information Sciences, 2023.(中科院一區Top,CCF B刊)
7. Ding Hongwei, Huang Nana, Cui Xiaohui. Leveraging GANs Data Augmentation for Imbalanced Medical Image Classification[J]. Applied Soft Computing, 2024.(中科院一區Top)
8. Ding Hongwei, Huang Nana, Wu Yaoxin, Cui Xiaohui. LEGAN: Addressing Intra-class Imbalance in GAN-based Medical Image Augmentation for Improved Imbalanced Data Classification[J]. IEEE Transactions on Instrumentation & Measurement, 2024.(中科院二區Top)
9. Ding Hongwei, Huang Nana, Wu Yaoxin, Cui Xiaohui. Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024.(中科院二區Top)
10. Ding Hongwei, Chen Leiyang, Dong Liang, Fu Zhongwang, Cui Xiaohui. Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection[J]. Future Generation Computer Systems, 2022. (中科院二區Top,ESI高被引論文)
11. Li Wei, Zhang Mingjun, Li Wenhao, Wang Yinghui, Zhang Xiaowu, Chen Bin, Ding Hongwei*. ASM-GAN: Arbitrary Object Shape Styles Manipulation in Synthesized Images for GANs[J]. IEEE Transactions on Instrumentation & Measurement, 2024.(中科院二區Top)
12. Ding Hongwei, Huang Nana, Zhang Kuan. DM-GAN: A Data Augmentation-Based Approach for Imbalanced Medical Image Classification[C]// IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. (CCF B會)
13. Ding Hongwei, Tao Qi, Huang Nana. BDGAN: Boundary and Diversity-aware Generative Adversarial Network for Imbalanced Medical Image Augmentation[C]// IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF B會)
14. Cai Zihui, Ding Hongwei, Xu Mohan, Cui Xiaohui. Multimodal dynamic graph convolutional network for crowdfunding success prediction[J]. Applied Soft Computing, 2024.(中科院一區Top)
15. Wu Yaoxin, Ding Hongwei, Liu Yunqi, Wen Zerui, Cui Xiaohui. Synthetic Data Augmentation for Infrared Small Target Detection via Exploring Frequency Components and Targets Prior[C]// IEEE International Conference on Multimedia and Expo (ICME), 2024.(CCF B會)
16. Wang Ziyue, Ding Hongwei, Liu Yunqi, Feng Yan, Cui Xiaohui. LogiCoTab: Controllable Tabular Data Synthesis with Logical Relationships Awareness[C] // IEEE International Conference on Multimedia and Expo (ICME), 2025.(CCF B會)
【專利】
1.一種基于雙通道U-Net模型的圖像篡改檢測方法及裝置,發明專利,已授權
2.一種基于數據增強的紅外小目標檢測方法及裝置,發明專利,已授權
3.一種基于GAN的非平衡醫學圖像分類方法,發明專利,已授權
4.一種基于多生成器GAN數據增強的入侵檢測方法,發明專利,審查中
講授課程情況
本科生課程:《云計算》
研究生課程:《機器學習原理與應用》
指導研究生情況
在讀1人,已協助指導5人。