信号处理，图像处理，机器学习

1. 信号处理
2. 图像处理
3. 机器学习

   

081203-计算机应用技术

图像处理，信号处理，机器学习

1、2007.6    中国科学院电子学研究所，信号与信息处理，博士学位

2、2004.6    山东大学信息科学与工程学院，通信与信息系统，硕士学位

3、2001.7    山东大学电子工程系，电子信息科学与技术，学士学位

   

2013/12-2015/01，美国伊利诺伊大学香槟分校（UIUC），电子与计算机工程系，访问学者

2013/12-2015/01，美国伊利诺伊大学香槟分校（UIUC），电子与计算机工程系，访问学者；
2007年7月至今   中国科学院大学 讲师，副教授。

• ProtoSAM: Semi-Supervised Prototypical Guidance for 3D Medical Image Segmentation with SAM, BIBM'2025.
• TF-Transformer: Unified Time-Frequency Representation Learning for Resting State EMG Data, BIBM'2025.
• Siam-Gabor-ResNet Used for Crevasse Detection with Ground Penetrating Radar Data, IEEE Transactions on Geoscience and Remote Sensing, 2025.
• Domain Adversarial Wavelet Convolutional Neural Network used for ALS and CSM Identification with EMG Signal, Biomedical Signal Processing and Control, Vol.101, 2025.
• A Unified Spatiotemporal Frequency Graph Neural Network for fMRI-Based Brain Function Connectivity Analysis, ICASSP'2025.
• Contrastive Voxel Clustering for Functional and Structural Combined Brain Network Analysis: An fMRI-based study, Neuroimage, 2024, 297.
• Fast 3D SAM: Crafting Large Vision Models for 3D Medical Image Segmentation via Token Clustering and Fine-tuning, ISBI'2024.
•  A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data, EMBC’2024.
• Joint Analysis for Faciobrachial Dystonic Seizures Identiffcation in LGI1 Encephalitis using FDG-PET, CISP-BMEI’2024.
• Biomarker Importance Analysis for Autoimmune Encephalitis with PET, CISP-BMEI’2024.
• An Extensible Hierarchical Graph Convolutional Network for Early Alzheimer’s Disease Identification, Computer Methods and Programs in Biomedicine，2023, 238.
• Role of Hippocampal Subfields in Neurodegenerative Disease Progression Analyzed With a Multi-scale Attention-based Network, NeuroImage: Clinical, 2023, 38.
• Domain Contrast Network for cross-muscle ALS disease identification with EMG signal, Biomedical Signal Processing and Control, 2023, 82.
• Voxel-level fMRI Analysis by Representation Learning and Deep Clustering for Alzheimer's Disease, ISBI’2023.
• Selective ensemble learning for cross-muscle ALS disease identification with EMG signal, BIBM'2022.
• A Multi-scale Attention-based Convolutional Network for Identification of Alzheimer’s Disease based on Hippocampal Subfields, EMBC’2022.
• Gabor-based U-Net Crevasse Detection with Ground Penetrating Radar Data, GPR'2022.
• Pulmonary Nodules Detection Assistant Platform: An Effective Computer Aided System for Early Pulmonary Nodules Detection in Physical Examination, Computer Methods and Programs in Biomedicine，2022, 217: 1-12.
• Multi-resolution 3D-HOG Feature Learning Method for Alzheimer’s Disease Diagnosis, Computer Methods and Programs in Biomedicine, 2021, 214:1-8.
• Shallow-Layers-Detection Ice Sounding Radar for Mapping of Polar Ice Sheets. IEEE Transactions on Geoscience and Remote Sensing, 2021, (99): 1-10.
• Preliminary Investigation and Imaging Analysis of Early Lung Cancer Screening Among Petroleum Workers in North China, Cancer Investigation, 2021, 39(4): 321-332.
• Efficient False Positive Reduction Method for Early Pulmonary Nodules Detection in Physical Examination, BIBM'2021.
• Wavelet-based Multi-branch Convolutional Neural Network for Cross-individual ALS Disease Identification with EMG Signal, BIBM'2021.
• Omics feature learning for cross individual ALS disease identification with EMG signal, BIBM'2021.
• Analysis on Teeth Occlusion Distribution Based on Segmentation and Registration Algorithm, BIBM'2021.
• Automated Classification of Alzheimer’s Disease and Mild Cognitive Impairment By Multi-scale Residual Neural Network in Hippocampus Subfields MR Images, RSNA’2021.
• Automated Classification of Alzheimer’s Disease by Graph Convolutional network in Multi-modal MR Images, RSNA’2021.
• Region-of-Interest Based Sparse Feature Learning Method for Alzheimer’s Disease Identification. Computer Methods and Programs in Biomedicine, 2020, 187: 1-10.
• Gabor filter banks used for crevasse detection with Ground Penetrating Radar data, GPR’2020.
• A Wrapper-based Feature Learning Method used for Alzheimer's disease Identification, ICSP’2020.
• Spatial Pyramid Based 3D Hog Feature Extraction for Alzheimer’s Disease Identification, ICSP’2020.
• Ice Crevasse Detection with Ground Penetrating Radar using Faster R-CNN, ICSP’2020.
• Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural Network, EMBC’2020.
• Comparison and Analyzation of Different Feature Parameters for Alzheimer’s disease Identification, EMBC'2019.
• Tracing the Layer Boundary of the Ice Sheet from Radio-Echo Sounding Data, GPR’2018.
• Compartmental Gaussian Mixture Model used for Layer Detection in Radio-Echo Sounding Data, ICSP’2018.
• An Automatic Classification of Alzheimer’s Disease Based on Structural MRI Data Compared with Voxel-Based Morphometry Method. ISMRM’2018.
• Automated Classification of Alzheimer’s Disease by Interregional Correlation Matrix in Structural MR Images. RSNA’2018.
• Compartmental Sparse Feature Selection Method for Alzheimer’s disease Identification. EMBC’2017.  
• Elastic Net based sparse feature learning and classification for Alzheimer’s disease identification. EMBC’2017.
• Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and B0 Field Inhomogeneity, IEEE Transactions on Biomedical Engineering, 2016, vol.63, no.4, pp: 841-849.

• 医学人工智能创新单元，中央高校自主部署项目专项资金，2022.7-2024.12。

• 多源融合学习的阿尔茨海默病辅助诊断方法研究，中央高校自主部署项目专项资金，2021.7-2023.12。

• 基于深度学习技术的肺结节筛查软件开发项目，横向课题，2020.1-2020.12。

• 冰裂隙检测雷达关键技术研究，国家自然基金面上项目，2018.1-2021.12。

• 极地高分辨率冰厚探测雷达成像与数据处理方法研究 ，国家自然科学基金青年基金，2014.1-2016.12 。

• 《现代数字信号处理》课程，中科院十二五教育信息化“精品数字课程建设项目”，2012.12-2014.11。

• 面向公共安全的智能视频监控新技术与新方法，北京市自然科学基金重点项目，2011.1-2013.12。