杭文龙

副教授

计算机与信息工程学院/人工智能学院
南京工业大学

中国江苏省南京市江北新区浦珠南路30号, 211816
邮箱（联系方式）: wlhang@njtech.edu.cn

简介

杭文龙，1988年10月，江苏海安人，副教授，硕士生导师，江南大学轻工信息技术专业博士，香港理工大学/南京航空航天大学博士后。先后多次赴香港理工大学，中科院深圳先进技术研究院等机构访问交流。IEEE会员，CCF会员，江苏省青年科技工作者协会会员，江苏省人工智能学会多个专委会委员。

主要研究方向为人工智能，神经网络，机器学习，迁移学习，监督/半监督学习等理论及其在医学图像，脑电信号中的应用。近年来，作为第一作者及合作作者在相关领域国内外主流期刊/会议发表论文30余篇，包括多篇IEEE Trans系列常文。主持国家自然科学基金青年项目一项，江苏省高校自然科学基金面上项目两项，重点实验室课题四项，企业横向课题多项。

( 欢迎对上述研究方向感兴趣的研究生邮件联系我！)

消息

[03/2026]: 项目“面向脑部运动控制功能障碍康复的多模态可解释模糊智能关键技术”,获得2025年中国商业联合会科技进步一等奖。(排名第八)
[03/2026]: One paper was accepted by IEEE TCDS.
[02/2026]: One paper was accepted by Expert Systems with Applications (ESWA).
[10/2025]: Recent accepted papers: 1 IEEE TCDS, 1 Frontiers in Artificial Intelligence.
[09/2025]: 王俊良同学获得硕士研究生国家奖学金，并获上海人工智能实验室（Shanghai AI Lab）脑电大模型科研实习岗位。
[04/2025]: One paper was accepted by IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS).
[12/2024]: Recent accepted papers: 1 IEEE ICASSP2025, 1 BMC Bioinformatics.
[11/2024]: One paper was accepted by Biomedical Signal Processing and Control (BSPC).
[10/2024]: One paper was accepted by IEEE Journal of Biomedical and Health Informatics (IEEE JBHI).
[09/2024]: One paper was accepted by Mathematics.
[09/2024]: One paper was accepted by Biomedical Signal Processing and Control (BSPC).
[07/2024]: One paper was accepted by IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI).
[07/2023]: One paper was accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE).
[06/2023]: One paper was accepted by Biomedical Signal Processing and Control (BSPC).
[02/2023]: One paper was accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023) (Top 3% Paper Recognition).
[01/2023]: One paper was accepted by Biomedical Signal Processing and Control (BSPC).
[11/2022]: Graduate student Yecheng Huang has been elected as SHI JUN Scholarship Fellow in the year 2022.
[11/2022]: One paper was accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
[06/2022]: One paper was accepted by Medical Image Computing and Computer Assisted Intervention Society (MICCAI 2022).
[05/2022]: Undergraduate students Yangyi Chen and Lingrui Hu won the third prize of the 3rd Biomedical Engineering Innovation Design Competition for Undergraduates in Jiangsu Province.
[05/2022]: Graduate students Zengguang Li and Changsheng Xuan won the third prize of the 3rd Biomedical Engineering Innovation Design Competition for Undergraduates in Jiangsu Province.
[04/2022]: Graduate student Zengguang Li has been recommended by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (RMB 15,000) in the year 2022.
[01/2022]: One paper was accepted by Biomedical Signal Processing and Control (BSPC).
[04/2021]: Graduate student Yan Chen has been elected as PU XIN Scholarship Fellow (RMB 10,000) in the year 2021.
[11/2020]: Graduate student Yan Chen has been elected as SHI JUN Scholarship Fellow (RMB 3,000) in the year 2020.
[01/2020]: Graduate student Wei Feng‘s dissertation is awarded as outstanding master’s thesis of NanjingTech.
[01/2020]: Graduate student Wei Feng has been elected as the outstanding graduate M.S. student of NanjingTech.
[11/2019]: Graduate student Wei Feng has been elected as National Scholarship Fellow (RMB 20,000) in the yearpublic 2019.

论文 || 项目

^# 共同一作; * 通讯作者.

Multi-level Multimodal Visual Neural Decoding for Generalized Visual Object Recognition.
Wenlong Hang, Junliang Wang, Shuang Liang, Qiong Wang, GuangLin Li, Jing Qin, Badong Chen.
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2026.

Conflict-aware Semi-supervised Mutual Learning for Medical Image Segmentation.
Wenlong Hang, Beijing Wang, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin.
Expert Systems with Applications (ESWA), 2026. [code]

Personalized Federated EEG Decoding with Structured Graph-Based Guidance.
Wenlong Hang, Jiaxing Li, Junliang Wang, Shuang Liang, Qiong Wang, Baiying Lei, Guanglin Li, Badong Chen, Jing Qin.
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2025. [code]

Multiscale Convolutional Transformer with Diverse-aware Feature Learning for Motor Imagery EEG Decoding.
Wenlong Hang, Junliang Wang, Shuang Liang, Baiying Lei, Qiong Wang, Guanglin Li, Badong Chen, Jing Qin.
IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2025. [code]

Convolutional Retentive Network for EEG Decoding.
Junliang Wang, Wenlong Hang*, Shuang Liang, Qiong Wang, Badong Chen, Jing Qin.
2025 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP), 2025. [code]

Adaptive Deep Feature Representation Learning for Cross-subject EEG Decoding.
Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang*.
BMC Bioinformatics, 2024.

Pseudo-label Guided Selective Mutual Learning for Semi-supervised 3D Medical Image Segmentation.
Wenlong Hang, Peng Dai, Chengao Pan, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin.
Biomedical Signal Processing and Control (BSPC), 2024. [code]

Reliable Semi-Supervised Mutual Learning Framework for Medical Image Segmentation.
Wenlong Hang, Kui Bai, Shuang Liang, Qingfeng Zhang, Qiang Wu, Yukun Jin, Qiong Wang, Jing Qin.
Biomedical Signal Processing and Control (BSPC), 2024. [code]

RSSL:A Unified Reliability-aware Semi-supervised Learning Framework for Medical Image Classification.
Wenlong Hang, Yecheng Huang, Shuang Liang, Yuan Wu, Hui Liu, Qiong Wang, Ping Liu, Baiying Lei, Jing Qin.
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2024. [code]

Domain-generalized EEG Classification with Category-oriented Feature Decorrelation and Cross-view Consistency Learning.
Shuang Liang, Changsheng Xuan,Wenlong Hang*, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), 2023.

Structure invariance-driven collaborative contrastive network for EEG decoding.
Shuang Liang, Zengguang Li, Wenlong Hang*, Yuanpeng Zhang, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi.
Biomedical Signal Processing and Control (BSPC), 2023.

FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching.
Wenlong Hang, Jiaxing Li, Shuang Liang, Yuan Wu, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi.
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification.
Wenlong Hang, Zengguang Li, Mingbo Yin, Shuang Liang, Hang Shen, Qiong Wang, Jing Qin, Kup-Sze Choi.
Biomedical Signal Processing and Control (BSPC), 2023.

Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification.
Shuang Liang, Wenlong Hang*, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang.
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022.

Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification.
Wenlong Hang, Yecheng Huang, Shuang Liang, Baiying Lei, Kup-Sze Choi, Jing Qin.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. [code]

Deep EEG Feature Learning via Stacking Common Spatial Pattern and Support Matrix Machine.
Shuang Liang, Wenlong Hang*, Mingbo Yin, Hang Shen, Qiong Wang, Jin Qin, Kup-Sze Choi,Yu Zhang.
Biomedical Signal Processing and Control (BSPC), 2022.

Selective Transfer Classification Learning With Classification-Error-Based Consensus Regularization.
Wenlong Hang, Shuang Liang, Kup-Sze Choi, Fu-Lai Chung, Shitong Wang.
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021.

Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation.
Wenlong Hang^#, Wei Feng^#, Shuang Liang, Lequan Yu, Qiong Wang, Kup-Sze Choi, Jing Qin.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [code]

Deep Stacked Support Matrix Machine Based Representation Learning for Motor Imagery EEG Classification.
Wenlong Hang, Wei Feng, Shuang Liang, Qiong Wang, Xuejun Liu, Kup-Sze Choi.
Computer Methods and Programs in Biomedicine (CMPB), 2020.

A Novel Negative-Transfer-Resistant Fuzzy Clustering Model with a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation.
Yizhang Jiang, Xiaoqing Gu, Dongrui Wu, Wenlong Hang, Jing Xue, Shi Qiu, Lin Chin-Teng.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB), 2020.

自集成半监督医学图像分割方法研究与开发，广州艾目易科技有限公司，横向课题，2024/03–2024/09.

Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant No. 23KJB520012, 2023/09–2025/08.

哲学知识图谱以及教、研系统研发， **大学双一流专业，横向课题，2022/09–2023/06.

CAS Key Laboratory of Human-Machine Intelligence-Synergy Syetems under Grant No. 2014DP173025, 2019/09–2020/08.

State Key Laboratory Program for Novel Software Technology under Grant No. KFKT2019B10, 2019/06-2021/05.

Key Laboratory of Child Development and Learning Science under Grant No. CDLS-2019-04, 2019/01–2020/12.

National Natural Science Foundation of China under Grant No. 61802177, 2019/01–2021/12.

Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant No. 18KJB520020, 2018/09–2020/08.