张鹏 - 2138CC太阳集团（大数据学院）

张鹏，博士，研究生导师，毕业于北京航空航天大学。主要从事计算机视觉与多模态机器学习、人工智能。目前担任《Medicine Advances》、《EngMedicine》、《CT理论与应用研究》，并兼任中国计算机学会计算机应用专委会、中国计算机学会数字医学专委会、中国图象图形学会医学影像专委会、中国图学学会可视化与认知计算专委会、医学图像计算（MICS）专委会、中国电子学会智慧医疗专委会、中国光学学会生物医学光子学专委会委员。同时为电气电子工程师学会（IEEE）、中国计算机学会、中国人工智能学会、中国图象图形学会、中国图学学会、中国生物医学工程学会、中国体视学学会、中国光学学会会员。受聘为全国本科毕业论文（设计）评审专家、CNKI评审专家库专家，入选山西省科技厅、山西省工业和信息化厅专家组成员，并担任 2025 年 IEEE BIBM 国际会议 Section Chair。长期担任Nature Communications、IEEE-PAMI、IEEE-TMI、IEEE-TIP、NeurIPS、CVPR、AAAI、IJCAI、PRCV、《Information Fusion》、CMPB、AIM、CBM、PMB、BOE、JBO、《计算机科学》等国际权威期刊与会议审稿人，获得2025年PRCV最佳审稿人称号。

近五年，以第一作者和主要作者身份在《IEEE Transactions on Medical Imaging》、《IEEE Transactions on Computational Imaging》、《IEEE Transactions on Artificial Intelligence》、《IEEE International Conference on Bioinformatics and Biomedicine》《Computer Methods and Programs in Biomedicine》、《Computers in Biology and Medicine》、《Physics in Medicine & Biology》、《Biomedical Optics Express》、《Journal of Biomedical Optics》、《Biomedical Signal Processing and Control》等医学影像与计算领域的权威期刊上，累计发表SCI论文40余篇，申请国家发明专利及软件著作权10余项。在科研项目方面，主持国家自然科学基金、山西省基础研究计划、山西省教育厅高校创新项目，上海市分子影像重点实验室开放课题，北京航空航天大学博士研究生卓越学术基金等项目；参与科技部重点研发计划、国家自然科学基金、北京市自然科学基金等多项国家级与省部级课题。

本人现招收硕士研究生，同时欢迎对科研与学科竞赛有浓厚兴趣的本科生加入课题组，参与科研训练。课题组主要研究方向包括计算机视觉、人工智能、深度学习图像生成、深度学习基础模型/大模型等。欢迎具有计算机、数学、电子信息等相关专业背景，基础扎实、踏实认真、思维活跃、编程能力突出的同学与我联系，共同开展高水平科研探索。如有意向，请通过邮件联系，并附上个人简历与成绩单。

[1] Peng Zhang, Guangda Fan, Tongtong Xing, Fan Song, Guanglei Zhang, “UHR-DeepFMT: Ultra-high spatial resolution reconstruction of fluorescence molecular tomography based on 3D fusion dual-sampling deep neural network”, IEEE Transactions on Medical Imaging, 2021, 40(11): 3217-3228

[2] Peng Zhang, Xingyu Liu, Qianqian Xue, Yu Shang, Chen Liu, Ruhao Chen, Honglei Gao, Jiye Liang, Wenjian Wang, Guanglei Zhang, “PAH2T-Former: Paired-Attention Hybrid Hierarchical Transformer for Synergistically Enhanced FMT Reconstruction Quality and Efficiency, ” IEEE Transactions on Computational Imaging, vol. 11, pp. 536-545, 2025

[3] Peng Zhang, Chenbin Ma, Fan Song, Zeyu Liu, Huijie Wu, Youdan Feng, Yufang He, Daifa Wang, Guanglei Zhang, “SVRNet: First Investigation of Single-view Reconstruction Network for Fluorescence Molecular Tomography, ” IEEE Transactions on Computational Imaging, 2023, 9: 834-845

[4] Peng Zhang, Yida Wu, Chen Liu, Heyang Zhao, Xingyu Liu, Zeyu Liu, Guanglei Zhang, and Wenjian Wang, CGCA-KAN: Correction-Guided Cluster-Aware Attention and KAN Enhanced Architecture for Medical Image Segmentation[C]//2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 2025: 4408-4413

[5] Peng Zhang, Chenbin Ma, Fan Song, Yangyang Sun, Youdan Feng, Yufang He, Tianyi Zhang, Guanglei Zhang, “D2-RecST: Dual-domain Joint Reconstruction Strategy for Fluorescence Molecular Tomography Based on Image Domain and Perception Domain, ” Computer Methods and Programs in Biomedicine, 2022: 107293

[6] Peng Zhang, Chenbin Ma, Fan Song, Yangyang Sun, Guangda Fan, Tianyi Zhang, Youdan Feng, Yufang He, Guanglei Zhang, “Multi-branch attention prior based parameterized generative adversarial network for fast and accurate limited-projection reconstruction in fluorescence molecular tomography, ” Biomedical Optics Express, 2022, 13(10): 5327-5343

[7] Peng Zhang, Zhiguo Gui, Guodong Guo, Yu Shang, “Approaches to denoise the diffuse optical signals for tissue blood flow measurement, ” Biomedical Optics Express, 9, 6170-6185, 2018

[8] Peng Zhang, Chenbin Ma, Fan Song, Guangda Fan, Yangyang Sun, Youdan Feng, Xibo Ma, Fei Liu, Guang Zhang, “A review of advances in imaging methodology in fluorescence molecular tomography, ” Physics in Medicine & Biology, 2022, 67(10): 10TR01

[9] Peng Zhang, Fan Song, Chenbin Ma, Zeyu Liu, Yangyang Sun, Youdan Feng, Yufang He, Guanglei Zhang, “Robust reconstruction of fluorescence molecular tomography based on adaptive adversarial learning strategy”, Physics in Medicine & Biology, 2023

[10] Peng Zhang, Chenbin Ma, Yangyang Sun, Guangda Fan, Fan Song, Youdan Feng, Guanglei Zhang, “Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings, ” Computers in Biology and Medicine, 2021, 139: 104880

[11] Peng Zhang, Chenbin Ma, Fan Song, Yangyang Sun, Youdan Feng, Yufang He, Tianyi Zhang, Guanglei Zhang, “A Dual-Domain Attention Cascade Network for Accurate and Interpretable Atrial Fibrillation Detection, ” Biomedical Signal Processing and Control, 2023, 82: 104615

[12] Peng Zhang, Fan Song, Chenbin Ma, Zeyu Liu, Guanglei Zhang, “Multi-attention prior based residual encoder-decoder network for fluorescence molecular tomography”, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022). SPIE, 2022, 12506: 852-857

[13] Peng Zhang, Zhiguo Gui, Hao Ling, Xiaojuan Zhang, Caicai Liu, Yu Shang, “Signal Processing for Diffuse Correlation Spectroscopy with Recurrent Neural Network of Deep Learning, ” 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService), Newark, CA, USA, 2019, pp. 328-332

[14] Peng Zhang, Zhiguo Gui, Hao Ling, Jiaxin Liu, Xiaojian Zhang, Yiming Liu, Andi Li, Yu Shang, “Signal Processing for Diffuse Correlation Spectroscopy with Support Vector Regression, ” The Proceedings of the International Conference on Sensing and Imaging, 2018. ICSI 2018. Lecture Notes in Electrical Engineering, vol 606. Springer, Cham

[15] Fei Liu#, Peng Zhang#(共一) Zeyu Liu, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Yufang He, Guanglei Zhang, “In vivo detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography, ” Journal of Biomedical Optics, 2022, 27(7): 070501

[16] Xiangyu Zhao, Peng Zhang, Fan Song, Chenbin Ma, Guangda Fan, Yangyang Sun, Youdan Feng, Guanglei Zhang, “Prior attention network for multi-lesion segmentation in medical images, ” IEEE Transactions on Medical Imaging, 2022, 41(12): 3812-3823

[17] Chenbin Ma, Peng Zhang, Fan Song, Yangyang Sun, Guangda Fan, Tianyi Zhang, Gyanglei Zhang, “KD-informer: A cuff-less continuous blood pressure waveform estimation approach based on single photoplethysmography, ” IEEE Journal of Biomedical and Health Informatics, 2022, 27(5): 2219-2230

[18] Chenbin Ma, Peng Zhang, Longsheng Pan, Xuemei Li, Chunyu Yin, Ailing Li, Rui Zong, Zhengbo Zhang, “A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting”. Expert Systems with Applications, 2022, 203: 117400

[19] Xuanxuan Zhang, Xu Cao, Peng Zhang, Fan Song, Jiulou Zhang, Lin Zhang, Guanglei Zhang, “Self-training strategy based on finite element method for adaptive bioluminescence tomography reconstruction, ” IEEE Transactions on Medical Imaging, 2022, 41(10): 2629-2643

[20] Yufang He, Zeyu Liu, Mingxin Qi, Shengwei Ding, Peng Zhang, Fan Song, Chenbin Ma, Huijie Wu, Ruxin Cai, Youdan Feng, Haonan Zhang, Tianyi Zhang, Guanglei Zhang. PST-Diff: achieving high-consistency stain transfer by diffusion models with pathological and structural constraints[J]. IEEE Transactions on Medical Imaging, 2024

1. 国家自然科学基金(62506220): 小样本驱动的域适应荧光分子断层成像方法研究, 主持人, 2026.01-2028.12, 在研

2. 山西省基础研究计划青年项目(202403021222024): 面向肿瘤精准成像的超分辨率近红外二区荧光断层成像方法研究, 主持人, 2025.1~2027.12, 在研

3. 上海市分子影像学重点实验室/开放课题项目(KFKT-2024-32), 肿瘤免疫微环境的三维荧光分子断层成像研究, 主持人, 2024.08-2026.08, 在研

4. 山西省高校科技创新项目(2024L002): 超分辨率荧光断层成像三维重建方法研究, 主持人, 2024.09-2026.08, 在研

5. 2138cn太阳集团古天乐2025年度本科教学改革创新项目: 面向大数据技术课程的新型教学模式探索与学生实践能力培养, 一般项目, 主持人, 2025.05-2027.05, 在研

6. 北京航空航天大学博士研究生卓越学术基金: 基于深度学习的荧光分子断层成像三维重建方法研究, 主持人, 2022.5-2023.5, 已结题

7. 国家自然科学基金(62271023), 面向肺癌PD-L1分子三维可视化的超分辨率荧光分子断层成像方法研究, 参与人, 2023.01-2026.12

8. 国家重点研发计划(2016YFC0101600), 结合形态学影像的近红外漫射光血流断层成像(DCS/DCT)系统, 参与人, 2016.07-2018.12