• 个人简历 

• 李畅，博士，副教授，博士生导师。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、B计划和学术人才自主创新等多项科研项目。以第一/通讯作者在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50余篇，13篇论文入选高被引论文，论文总被引12000余次。连续四年入选斯坦福大学发布的全球前2%顶尖科学家榜单。

  更多信息可见谷歌学术主页： https://scholar.google.com/citations?user=Fq0h6mcAAAAJ&hl=zh-CN。

• 欢迎对相关研究方向感兴趣的师生联系交流，个人邮箱：changli@hfut.edu.cn。

• 研究领域

      生物医学仪器信号测量与处理、机器学习、计算机视觉

• 开设课程 

  本科生课程：信号与系统、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面上基金项目，项目负责人

     3、 安徽省自然科学基金青年基金项目，项目负责人

     4、合肥工业大学学术人才自主创新项目，项目负责人

     5、合肥工业大学学术新人提升计划B项目，项目负责人

     6、合肥工业大学学术新人提升计划A项目，项目负责人

     7、合肥工业大学校博士专项，项目负责人

     8、国家重点研发计划项目，项目骨干

• 发表论文

     [1] A joint supervised and self-supervised learning framework for embryo image auto-focu sing, Expert Systems With Applications, Vol. 306, p. 130979, 2026. (中科院Top期刊)

• [2] YOLO-VML: An Improved Object Detection Model for Blastomeres and Pronuclei Localization in IoMT, IEEE Open Journal of Engineering in Medicine and Biology, Vol. 7, pp. 35-42, 2026.

  
  

  [3] Single-channel EEG-based sleep stage classification via hybrid data distillation, Journal of Neural Engineering, Vol. 22, No. 6, p. 066013, 2025. (脑机接口权威期刊)

  [4] Data Distillation for Sleep Stage Classification, IEEE Internet of Things Journal, Vol. 12, No. 10, pp. 14639-14652, 2025. (中科院Top期刊)

  [5] Feature Unlearning for EEG-Based Seizure Prediction, IEEE Internet of Things Journal, Vol. 12, No. 8, pp. 10974-10986, 2025. (中科院Top期刊)

  [6] Uncertainty-guided Fourier-based domain generalization for seizure prediction, Expert Systems With Applications, Vol. 268, p. 126286, 2025. (中科院Top期刊)

  [7] Easy data augmentation strategies for enhanced blastomeres detection, Measurement, Vol. 256, p. 118119, 2025. (仪器仪表T1期刊)

  [8] A CNN-Transformer-ConvLSTM-CRF Hybrid Network for Sleep Stage Classification, IEEE Sensors Journal, Vol. 24, No. 18, pp. 29018-29029, 2024. (仪器仪表T1期刊)

  [9] An improved you only look once algorithm for pronuclei and blastomeres localization, Engineering Applications of Artificial Intelligence, Vol. 136, p. 108929, 2024. (中科院Top期刊)

  [10] Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation, IEEE Internet of Things Journal, Vol. 11, No. 11, pp. 20784-20796, 2024. (中科院Top期刊)

  [11] Source-Free Domain Adaptation for Privacy-Preserving Seizure Prediction, IEEE Transactions on Industrial Informatics, Vol. 20, No. 2, pp. 2787-2798, 2024. (中科院Top期刊)

  [12] CTCNet: A CNN Transformer capsule network for sleep stage classification, Measurement, Vol. 226, p. 114157, 2024. (仪器仪表T1期刊)

  [13] Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction, IEEE Transactions on Instrumentation and Measurement, Vol. 73, p. 2500613, 2024. (仪器仪表T1期刊)

  [14] Machine Unlearning for Seizure Prediction, IEEE Transactions on Cognitive and Developmental Systems, Vol. 16, No. 6, pp. 1969-1981, 2024.

  [15] Privacy-Preserving Domain Adaptation for Intracranial EEG Classification via Information Maximization and Gaussian Mixture Model, IEEE Sensors Journal, Vol. 23, No. 21, pp. 26390-26400, 2023. (仪器仪表T1期刊)

  [16] 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)

  [17] 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)

  [18] 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)

  [19] Online Test-Time Adaptation for Patient-Independent Seizure Prediction, IEEE Sensors Journal, Vol. 23, No. 19, pp. 23133-23144, 2023. (仪器仪表T1期刊)

  [20] EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning, Engineering Applications of Artificial Intelligence, Vol. 123, pp. 106401, 2023. (中科院Top期刊)

  [21] 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. (中科院Top期刊)

  [22] Spatio-temporal MLP network for seizure prediction using EEG signals, Measurement, Vol. 206, pp. 112278, 2023. (仪器仪表T1期刊)

  [23] 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.

  [24] EEG-Based Seizure Prediction via Model Uncertainty Learning, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 31, pp. 180-191, 2023. (脑机接口权威期刊)

  [25] 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)

  [26] 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)

  [27] 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. (脑机接口权威期刊)

  [28] Multi-channel EEG-based emotion recognition in the presence of noisy labels, Science China-Information Sciences, Vol. 65, No. 4, pp. 140405, 2022. (CCF A期刊)

  [29] 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)

• [30] Plane-Wave Image Reconstruction via Generative Adversarial Network and Attention Mechanism, IEEE Transactions on Instrumentation and Measurement, Vol. 70, pp. 4505115, 2021. (仪器仪表T1期刊)

• 
  

• 专著教材

  
  

• 申请专利

授权专利多项

• 获奖成果   

[1] 连续四年入选全球前2%顶尖科学家

[2] 合肥工业大学年度“优秀班主任”称号

[3] 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、张伟杰、董兴浩

[4] 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）、张伟杰（省优）、林学娟、赵禹阊、董兴浩、郭韩飞

[5] 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、董兴浩、丰秋楠

[6] 指导研究生赵禹阊获省级优秀硕士论文

[7] 指导本科生参加竞赛获国家级奖和省级奖20余项。