姓名

李畅

职称

副教授

所属系

生物医学工程系

邮箱

changli@hfut.edu.cn

电话

个人简历

李畅，博士，副教授，2018年3月获得华中科技大学工学博士学位，2018年4月入职合肥工业大学仪器科学与光电工程学院。目前主要从事图像处理、生物医学仪器信号测量与处理和信息融合等方面的研究工作。作为项目负责人承担了国家自然科学基金、安徽省自然科学基金、校学术新人提升A计划和B计划等多项科研项目。在IEEE SPM、IEEE TAC、IEEE JBHI、IEEE TIM、IEEE TNSRE和IEEE TII等权威期刊及会议发表相关论文100余篇，10篇论文入选高被引论文，论文总被引6000余次。入选斯坦福大学发布的全球前2%顶尖科学家榜单。担任IEEE TIP、IEEE TSP、IEEE TNNLS、IEEE TMM、IEEE TAC等多个国际知名期刊审稿人。

欢迎对相关研究方向感兴趣的同学报考我的研究生，可将个人简历发送至我的邮箱：changli@hfut.edu.cn。

研究领域

图像处理、生物医学仪器信号测量与处理、机器学习、计算机视觉、信息融合

开设课程

本科生课程：信号与系统、机器学习、机器学习中的优化方法

科研项目

1. 国家自然科学基金青年科学基金项目，项目负责人

2. 安徽省自然科学基金青年基金项目，项目负责人

3. 合肥工业大学学术新人提升计划B项目，项目负责人

4. 国家重点研发计划项目，项目骨干

5. 国家自然科学基金原创探索项目，项目骨干

发表论文（*表示通讯作者）

ResearchGate:https://www.researchgate.net/profile/Chang-Li-50

1. Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation,IEEE Internet of Things Journal, 2024.

2. Source-Free Domain Adaptation for Privacy-Preserving Seizure Prediction,IEEE Transactions on Industrial Informatics, Vol. 20, No. 2, pp. 2787-2798, 2024.

3. CTCNet: A CNN Transformer capsule network for sleep stage classification,Measurement, Vol. 226, p. 114157, 2024.

4. Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction”,IEEE Transactions on Instrumentation and Measurement, Vol. 73, p. 2500613, 2024.

5. EEG-Based Emotion Recognition via Neural Architecture Search,IEEE Transactions on Affective Computing, Vol. 14, No. 2, pp. 957-968, 2023. (ESI高被引论文)

6. EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention,IEEE Transactions on Affective Computing, Vol. 14, No. 1, pp. 382-393, 2023. (ESI高被引论文)

7. EEG-based Emotion Recognition via Transformer Neural Architecture Search,IEEE Transactions on Industrial Informatics, Vol. 19, No. 4, pp. 6016-6025, 2023. (ESI高被引论文)

8. Privacy-Preserving Domain Adaptation for Intracranial EEG Classification via Information Maximization and Gaussian Mixture Model,IEEE Sensors Journal, 2023.

9. Online Test-Time Adaptation for Patient-Independent Seizure Prediction,IEEE Sensors Journal, Vol. 23, No. 19, pp. 23133-23144, 2023.

10. Patient-Specific Seizure Prediction From Electroencephalogram Signal via Multichannel Feedback Capsule Network,IEEE Transactions on Cognitive and Developmental Systems, Vol. 15, No. 3, pp. 1360-1370, 2023.

11. EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning,Engineering Applications of Artificial Intelligence, Vol. 123, pp. 106401, 2023.

12. Bi-CapsNet: A Binary Capsule Network for EEG-Based Emotion Recognition,IEEE Journal of Biomedical and Health Informatics, Vol. 27, No. 3, pp. 1319-1330, 2023.

13. EEG-Based Seizure Prediction via Model Uncertainty Learning,IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 31, pp. 180-191, 2023.

14. Spatio-temporal MLP network for seizure prediction using EEG signals,Measurement, Vol. 206, pp. 112278, 2023.

15. Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism,Computers in Biology and Medicine, Vol. 143, pp. 105303, 2022. (ESI高被引论文)

16. Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey,IEEE Signal Processing Magazine, Vol. 39, No. 2, pp. 117-134, 2022. (特邀综述,信号处理领域国际顶级期刊)

17. EEG-based seizure prediction via Transformer guided CNN,Measurement, Vol. 203, pp. 111948, 2022.

18. EEG-Based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning,IEEE Sensors Journal, Vol. 22, No. 20, pp. 19608-19619, 2022.

19. Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning,IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, pp. 1536-1547, 2022.

20. Multi-channel EEG-based emotion recognition in the presence of noisy labels,Science China-Information Sciences, Vol. 65, No. 4, pp. 140405, 2022.

21. Spatial-Spectral Nonlinear Hyperspectral Unmixing Under Complex Noise,IEEE Sensors Journal, Vol. 22, No. 5, pp. 4338-4346, 2022.

22. Emotion Recognition from Multi-Channel EEG via Deep Forest,IEEE Journal of Biomedical and Health Informatics, Vol. 25, No. 2, pp. 453-464, 2021. (ESI高被引论文)

23. AttentionFGAN: Infrared and Visible Image Fusion using Attention-based Generative Adversarial Networks,IEEE Transactions on Multimedia, Vol. 23, pp. 1383-1396, 2021. (ESI高被引论文)

24. Plane-Wave Image Reconstruction via Generative Adversarial Network and Attention Mechanism,IEEE Transactions on Instrumentation and Measurement, Vol. 70, pp. 4505115, 2021.

25. Multi-focus Image Fusion: A Survey of the State of the Art,Information Fusion, Vol. 64, pp. 71-91, 2020. (ESI高被引论文)

26. Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network,Computers in Biology and Medicine, Vol. 123, pp. 103927, 2020.

27. Sparse unmixing of hyperspectral data with bandwise model,Information Sciences, Vol. 512, pp. 1424-1441, 2020.

28. Infrared and visible image fusion methods and applications: A survey,Information Fusion, Vol. 45, pp. 153-178, 2019. (特邀综述,ESI高被引论文)

29. FusionGAN: A generative adversarial network for infrared and visible image fusion,Information Fusion, Vol. 48, pp. 11-26, 2019. (ESI高被引论文)

30. Infrared and visible image fusion via gradient transfer and total variation minimization,Information Fusion, Vol. 31, pp. 100-109, 2016. (ESI高被引论文)

专著教材

申请专利

授权专利多项

获奖成果

1. 全球前2%顶尖科学家

2. 指导研究生获硕士研究生国家奖学金：张中振、赵禹阊、邓志伟、毛婷婷

3. 指导研究生获合肥工业大学优秀毕业生：张中振（省优）、邓志伟（省优）、毛婷婷（省优）、林学娟、赵禹阊

4. 指导研究生获合肥工业大学三好学生：邓志伟（优秀三好）、邵成浩、赵红宇

5. 指导本科生参加竞赛获国家级奖和省级奖10余项。