杨淳沨
职称:副高
所在院系:影像科学与技术系
研究方向:
电话:
邮箱:chunfeng.yang@seu.edu.cn
职务:
个人简介

研究生导师,影像科学与技术系副系主任,江苏省科技人才(科技副总)项目获得者。中国人体健康科技促进会数字医疗专委会委员,江苏省研究型医院学会智能诊疗专委会委员法国雷恩第一大学获得博士学位后到BETWAY·必威(西汉姆联)官方网站-West Ham United工作至今。


研究兴趣主要包含人工智能&信号与图像处理算法及在脑科学、脑机接口、生命健康、计算机视觉、情感计算和可穿戴设备中的应用。


近年来先后承担和参与国家自然科学基金项目、科技部重点研发项目、教育部、工信部、江苏省和广东省等省部级项目二十余项。IEEE Internet of Things Journal,Medical Image Analysis,IEEE Journal of Biomedical and Health Informatics,IEEE TBME, IEEE TIM,Information Fusion,Signal Processing, IEEE SPL,  Physical Review E, International Journal of Neural SystemsBrain Informatics生物医学工程学杂志和AAAI,IEEE EMBC,  IEEE ICASSP, CogSci,BIBM,EURASIP等国内外重要期刊和会议发表论文八十余篇


欢迎对上述相关领域感兴趣的本科生和研究生(在bw必威西汉姆联官网、人工智能学院、东蒙联合研究生院、bw必威西汉姆联官网雷恩研究生院招硕士生、直博生和博士生)与我联系: chunfeng.yang(at)seu.edu.cn共同努力前行



研究方向
教育经历
工作经历
科研项目
论文著作

近五年部分发表论文著作

 期刊论文

[1] ABVnet: Adapter-based fine-tuning Bimodal ViTs Network for Dynamic Facial Expression Recognition In-the-wild, Information Fusion, 2026. (中科院1区,JCR Q1

[2] Generative Data-Engine Foundation Model for Universal Few-Shot 2D Vascular Image Segmentation, Medical Image Analysis, 2026. (中科院1区,JCR Q1

[3] GraphMorph: Equilibrium Adjustment Regularized Dual-Stream GCN for 4D-CT Lung Imaging with Sliding Motion, Neurocomputing2026. (中科院2区,JCR Q1

[4] APP-Net: A Physics-Constrained Joint Prior-Guided Network for CBCT Metal Artifact Reduction, Biomedical Signal Processing and Control, 2026. (中科院2区,JCR Q1

[5] Time series Decomposition and Fusion-based Granger causality network for nonlinear causal inference: Application in emotion brain network analysis using EEG signals, Biomedical Signal Processing and Control, 2026. (中科院2区,JCR Q1

[6] PhysioMotion Artifact: A Task-Driven EEG Dataset with Channel-Level Motion Artifact Annotations, Scientific Data, 2026(中科院2区,JCR Q1

[7] ESNN: End-to-End Shuttle Neural Network for Major Depressive Disorder Recognition via Electroencephalographic signalsIRBM, 2026. (中科院2区,JCR Q2

[8] TTFNet: Temporal-Frequency Features Fusion Network for Speech Based Automatic Depression Recognition and Assessment, IEEE Journal of Biomedical and Health Informatics, 2025. (中科院1区,JCR Q1

[9] Twin-ViMReg: DXR Driven Synthetic Dynamic Standing-CBCTs Through Twin Vision Mamba-based 2D/3D Registration, Computerized Medical Imaging and Graphics, 2025. (中科院2区,JCR Q1

[10] WS-BiLSTM-MA: Wavelet Scattering-Based BiLSTM With Mixed Attention Block for MDD Recognition Using Multichannel EEG Signals, IEEE Transactions on Instrumentation and Measurement, 2025. (中科院2区,JCR Q1

[11] Virtual Reality-Based Stroop Test for Mild Cognitive Impairment Detection via KWS-TA-CNN-PE Network Using Eye-Tracking Signals, IEEE Internet of Things Journal, 2025. (中科院1区,JCR Q1

[12] TIGC-Net: Transformer-Improved Graph Convolution Network for Spatio-Temporal Prediction, Biomedical Signal Processing and Control, 2025. (中科院2区,JCR Q1

[13] Multi-Scale Cascaded with Cross-Attention Network-Based Deformation Vector Field Estimation for Motion-Compensated 4D-CBCT Reconstruction, IEEE Transactions on Computational Imaging, 2025. (中科院2区,JCR Q1

[14] LW-CTrans: A Lightweight Hybrid Network of CNN and Transformer for 3D Medical Image Segmentation, Medical Image Analysis, 2025. (中科院1区,JCR Q1

[15] WUTrans: Whole-spectrum Unilateral-Query-secured Transformer for 4D CBCT Reconstruction, Biomedical Signal Processing and Control, 2025. (中科院2区,JCR Q1

[16] Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy, Brain Informatics, 2024. 

[17] Exploration of interictal to ictal transition in epileptic seizures using a neural mass model, Cognitive Neurodynamics, 2024. (中科院2区,JCR Q1

[18] Coarse-to-fine learning for planning CT-enhanced limited-angle CBCT reconstruction, IEEE Transactions on Instrumentation and Measurement, 2024. (中科院1区,JCR Q1

[19] Cas-PRED: A limited-angle cone beam CT reconstruction research based on prior information, IEEE Transactions on Instrumentation and Measurement, 2024. (中科院1区,JCR Q1

[20] CT-Net: Cascaded T-shape network using spectral redundancy for dual-energy CT limited-angle reconstruction, Biomedical Signal Processing and Control, 2023. (中科院2区,JCR Q1

[21] SPEAR-Net: Self-prior enhanced artifact removal network for limited-angle DECT, IEEE Transactions on Instrumentation and Measurement,  2023. (中科院1JCR Q1

[22] Epileptic seizure prediction using deep neural networks via transfer learning and multi-feature fusion, International Journal of Neural Systems, 2022. (中科院1区,JCR Q1

[23] Investigation of two neural mass models for DCM-based effective connectivity inference in temporal epilepsy, Computer Methods and Programs in Biomedicine2022. (中科院2区,JCR Q1

[24] Convolutional modulation theory: a bridge between convolutional neural networks and signal modulation theory, Neurocomputing, 2022. (中科院2区,JCR Q1

[25] Deformable transformer for endoscopic video super-resolution, Biomedical Signal Processing and Control2022. (中科院2区,JCR Q1

[26] CCE-net: a rib fracture diagnosis network based on contralateral, contextual, and edge enhanced modules, Biomedical Signal Processing and Control, 2022. (中科院2区,JCR Q2

[27] Robust restoration of low-dose cerebral perfusion CT images using NCS-unet, Nuclear Science and Techniques, 2022. (中科院1区,JCR Q1

会议论文  

[1] Spatial Graph Distillation Transfer for Depression Detection with Few-Channel EEG Signals, in 2026 IEEE International Conference on Multimedia and Expo (ICME).  (CCF B)

[2] A Consistent Learing Depression Detection Framework Integrating Multi-view Attention, in 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026. CCF B

[3] CTF-DANN: Improving Depression Detection via Domain Adaptation with Cross-Channel Temporal-Frequency Attention in EEG Signals, in 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026. CCF B

[4] Dual Contrastive Learing For Semi-Supervised Domain Adaptation In Bi-modal Depression Recognition, in 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026. CCF B

[5] Time Series Decomposition And Fusion-based Granger Causality Network For Nonlinear Causal Inferencein 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026. CCF B

[6] Bimodal Fusion Framework for Dynamic Facial Expression Recognition in-the-Wild, in 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026. CCF B 

[7] Semantic-Aware Multimodal Fusion with Cross-Scale Features for Alzheimer’s Disease Detectionin Proceedings of the 48th Annual Meeting of the Cognitive Science Society (CogSci), Rio de Janeiro, Brazil, 2026.CCF B

[8] Enhancing Gait Recognition with Unified Spatiotemporal Feature Extraction: A Deep Neural Network Approach, in 2025 10th International Conference on Biomedical Signal and Image Processing (ICBIP), 2025. EI

[9] Depression Detection Based on Recursive Joint Specific Cross-Modal Fusion Enhanced by Multi-Modal Features, in 2025 10th International Conference on Biomedical Signal and Image Processing (ICBIP),2025. EI

[10] STGE-Former: Spatial-Temporal Graph-Enhanced Transformer for EEG-Based Major Depressive Disorder Detection, in 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. CCF B

[11] KWS-TA-CNN Network: Towards Lightweight Mild Cognitive Impairment Detection Using Eye-Tracking Signals from Virtual Reality Stroop Test, in Proceedings of the 47th Annual Meeting of the Cognitive Science Society (CogSci), 2025. CCF B

[12] Clinical insight-augmented multi-view learning for alzheimer’s detection in retinal OCTA images, in 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. CCF B

[13] Multiscale low-frequency memory network for improved feature extraction in convolutional neural networks, in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. CCF A

[14] Spinal lesions classification and localization with ACAT-Net from X-ray images, in Proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),2023. CCF B

[15] Specific-modal spatial guidance and feature enhancement for multi-modal brain tumor segmentation, in Proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. CCF B

[16] TSUnet-CC: Temporal spectrogram Unet embedding cross channel-wise attention mechanism for MDD identification, in Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),  2023. 生物医学工程顶会

[17] Spatio-temporal attention graph convolution network for functional connectome classification, in 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. CCF B



专利
获奖情况

近年指导学生部分获奖情况:

本科生

[1] 第十届全国大学生生物医学工程创新设计竞赛, 国家级二等奖,2025。

[2] 第六届江苏省大学生生物医学工程创新设计大赛, 三等奖,2025。

[3] 第五届江苏省大学生生物医学工程创新设计大赛, 三等奖,2024。(两组)

研究生

[1] 第七届中国研究生人工智能创新大赛,国家级二等奖,2025。

[2] 第十届全国大学生生物医学工程创新设计竞赛, 国家级二等奖,2025。

[3] 第六届江苏省大学生生物医学工程创新设计大赛, 三等奖,2025。

[4] 第六届中国研究生人工智能创新大赛, 国家级二等奖,2024。

[5] 第五届江苏省大学生生物医学工程创新设计大赛, 三等奖,2024。(两组)


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