教育经历
2018.08-2022.11 澳门大学、电机与电脑工程、博士
2015.09-2018.06 海南大学、计算机科学与技术、硕士
2011.08-2015.07 西安理工大学、计算机科学与技术、学士
工作经历
2022.12-至今 海南大学、网络空间安全学院（密码学院）、高聘副研究员
科研项目
1. 海南省科技人才创新项目-D类、基于病人信息融合的精准深度学习心肌灌注SPECT图像质量提升技术研究(KJRC2023D30)、30万、2024年1月-2026年12月、主持
2. 海南大学科研启动基金项目、基于深度学习的医学图像质量优化研究(RZ2300002754)、10万、2023年1月-2027年12月、主持
3. 国家自然基金联合基金项目、面向工程化应用的人工智能系统安全检测与防护关键方法研究(U19B2044)、265万、2023年1月-2023年12月、参与
4. 国家自然科学基金优秀青年科学基金（港澳）、人工智能于改良核医学图像质量的应用研究(81922080)、130万、2020年1月-2022年12月、参与
5. 澳门科学技术基金、Optimized respiratory gating strategy for thoracic PET/CT (114/2016/A3)、130万、2018年8月-2022年12月、参与
发表论文
期刊论文Peer-reviewed Journal Papers（*为通讯作者）
[1] Liu ZY, Cao CJ*, and Sun JZ*. Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information. arXiv. https://doi.org/10.48550/arXiv.2212.05478
[2] Zou BH, Cao CJ*, Wang LJ, Fu SZ, Qiao TH, and Sun JZ. FACILE: A capsule network with fewer capsules and richer hierarchical information for malware image classification. Computers & Security, 2023.（中科院二区）https://doi.org/10.1016/j.cose.2023.103606
[3] Wang MN, Cao CJ*, Wang XY*, Zhang Q, Jing ZX, Yan HY, and Sun JZ*. CVFL: A chain-like and verifiable federated learning with computational efficiency. Mathematics, 2023. https://doi.org/10.3390/math11214547
[4] Zhang Q, Ying ZB, Zhou JH, Sun JZ, and Zhang B*. Broad learning model with a dual feature extraction strategy for classification. Mathematics, 2023. https://doi.org/10.3390/math11194087
[5] Du Y, Jiang H, Lin CN, Peng ZY, Sun JZ, Chiu PY, Hung GU*, and Mok GSP*. Generative adversarial network-based attenuation correction for 99mTc-TRODAT-1 brain SPECT. Frontiers in Medicine, 2023. https://doi.org/10.3389/fmed.2023.1171118
[6] Tao FJ, Cao CJ*, Li H, Zou BH, Wang LJ, and Sun JZ*. Adversarial Attack for deep steganography based on surrogate training and knowledge diffusion. Applied Sciences, 2023. https://doi.org/10.3390/app13116588
[7] 符思政, 曹春杰*, 刘志远, 陶方舰 & 孙敬张*. 基于双分支自编码器网络的面向深度哈希图像检索系统的攻击方法.电信科学. 2023.（中国通信学会-T1）
[8] Lu ZL, Chen GF, Jiang H, Sun JZ, Lin K-H, and Mok GSP*. SPECT and CT misregistration reduction in [99mTc] Tc-MAA SPECT/CT for precision liver radioembolization treatment planning. European Journal of Nuclear Medicine and Molecular Imaging. 2023.（中科院一区 Top期刊） https://doi.org/10.1007/s00259-023-06149-9
[9] Sun JZ, Zhang Q, Du Y, Zhang D, Pretorius PH, King MA, and Mok GSP*. Dual gating myocardial perfusion SPECT denoising using a conditional generative adversarial network. Medical Physics. 2022.（中科院二区） https://doi.org/10.1002/mp.15707
[10] Sun JZ, Du Y, Li CY, Wu TH, Yang BH, and Mok GSP*. Pix2Pix generative adversarial network for low dose myocardial perfusion SPECT denoising. Quantitative Imaging in Medicine and Surgery. 2022.（中科院二区） https://doi.org/10.21037/qims-21-1042
[11] Sun JZ, Jiang H, Du Y, Li CY, Wu TH, Liu YH, Yang BH, and Mok GSP*. Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. Journal of Nuclear Cardiology. 2022. https://doi.org/10.1007/s12350-022-03045-x
[12] Sun JZ, Li CY, Du Y, Wu TH, Liu YH, Yang BH, and Mok GSP*. Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. Frontiers in Medicine. 2023. https://doi.org/10.3389/fmed.2023.1083413
[13] Zhang D, Sun JZ, Pretorius PH, King MA and Mok GSP*. Clinical evaluation of three respiratory gating schemes for different respiratory patterns on cardiac SPECT. Medical physics. 2020.（中科院二区） https://doi.org/10.1002/mp.14354
[14] Du Y, Shang JJ, Sun JZ, Wang L, Liu YH, Xu H, and Mok GSP*. Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT. Journal of Nuclear Cardiology. 2022. https://doi.org/10.1007/s12350-022-03092-4
[15] Cao CJ*, Zhang ZQ, Sun JZ, Wang XP and Huang MX. Vulnerability analysis of interdependent scale-free networks with complex coupling. Journal of Electrical and Computer Engineering. 2017, (21):1-5. https://doi.org/10.1155/2017/9080252
[16] 曹春杰*, 孙敬张, 张智强, 王隆娟, & 黄梦醒. 基于相似度的伪随机序列中超长稀疏特征分析. 通信学报, 2016, 37(Z1), 25-29. https://doi.org/10.11959/j.issn.1000-436x.2016243
部分会议论文Selected Conference Proceedings（*为通讯作者）
[1] Liu ZY, Cao CJ*, Tao FJ, and Sun JZ*. Revisiting graph contrastive learning for anomaly detection. In Conference Record of 26th European Conference on Artificial Intelligence (ECAI) 2023, September 30-October 4, 2023. Krakow, Poland. (CCF-B) https://doi.org/10.3233/FAIA230440
[2] Li HR, Cao CJ*, Sun Y, Peng HF, Li YF, and Sun JZ*. Deep wavelet residual attention network for radio frequency fingerprint recognition under low SNR. In Conference Record of 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS), September 25-27, 2023. Toronto, Canada. (CCF-C) https://doi.org/10.1109/MASS58611.2023.00061
[3] Wang YL, Cao CJ*, Li YF, Dong QL, Li HR, and Sun JZ*. Radiofrequency fingerprint feature extraction and recognition using a coordinate attention-guided deep residual shrinkage network. In Conference Record of 2023 International Conference on Networking and Network Applications (NaNA). August 18-21, 2023. Qingdao, China. (EI) https://doi.org/10.1109/NaNA60121.2023.00097
[4] Fu SZ, Cao CJ*, Tao FJ, Zou BH, Lin XY, and Sun JZ*. LGWAE: Label-guided weighted autoencoder network for flexible targeted attacks of deep hashing. In Conference Record of the 2023 International Joint Conference on Neural Networks (IJCNN), June 18-23, 2023. Queensland, Australia. (CCF-C). https://doi.org/10.1109/IJCNN54540.2023.10191987
[5] Sun JZ, Li CY, Du Y, Wu TH, Yang BH, Liu YH and Mok GSP*. Low dose myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. In Conference Record of the 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), November 5-12, 2022. Milano, Italy.（核科学学科-顶尖会议）
[6] Du Y, Sun JZ, and Mok GSP*. Preliminary performance evaluation of deep learning-based attenuation corrections for myocardial perfusion SPECT. In Conference Record of the 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2021. October 16–23 2021, Yokohama, Japan. （核科学学科-顶尖会议）https://doi.org/10.1109/NSS/MIC44867.2021.9875692
[7] Mok GSP*, Sun JZ, Zhang Q and Du Y. Comparison of projection-based and reconstruction-based low dose SPECT image denoising using a conditional generative adversarial network. In Conference Record of the 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), October 31–November 7, 2020, Boston, USA.（核科学学科-顶尖会议）https://doi.org/10.1109/NSS/MIC42677.2020.9507752
[8] Sun JZ, Zhang Q, Zhang D, Hendrik PH, King MA and Mok GSP*. Generative adversarial network for denoising in dual gated myocardial perfusion SPECT using a population of phantoms and clinical data. In Conference Record of the 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), October 28–November 3, 2019, Manchester, England.（核科学学科-顶尖会议）https://doi.org/10.1109/NSS/MIC42101.2019.9059884
[9] Sun JZ, Cao CJ*, and Li H. Searchable encryption scheme based on CPABE with attribute update in a cloud medical environment. In Conference Record of the 2018 International Conference on Cloud Computing and Security (ICCCS), June 8-10, 2018. Haikou, Hainan, China. https://doi.org/10.1007/978-3-030-00012-7_25
部分会议报告及摘要 Selected Conference Presentation and Abstract
[1] 孙敬张，李建颖，吴东信，杨邦宏，刘义华 & 莫升萍*. 基于注意力机制的生成对抗网络对投影域低剂量心肌灌注SPECT降噪. 中华医学会核医学分会2023年学术年会, 口头汇报, 2023年9月21-23日, 陕西西安.
[2] Sun JZ, Li CY, Wu TH, Yang BH, and Mok GSP*. One-size-fits-all deep learning model for fast myocardial perfusion SPECT denoising. Paper accepted for presentation at Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2023 Annual Meeting, June 24-27, 2023. Chicago, Illinois, USA.
[3] Sun JZ, Li CY, Du Y, Wu TH, Liu YH, Yang BH and Mok GSP*. Deep learning-based denoising for low dose myocardial perfusion SPECT. Paper accepted for oral presentation at 14th Asia Oceania Congress of Nuclear Medicine and Biology (AOCNMB), September 6-7, 2022. Kyoto, Japan.
获奖情况
1. 指导学生获“华为杯”第二届中国研究生网络安全创新大赛国家二等奖2项 (2023)
2. 首届香港桂冠论坛（HKLF）、青年科学家 (2023)
3. IEEE NSS/MIC Conference Trainee Award (2022 & 2019)
4. 提名Rising nuclear medicine professional challenge of AONMAB (2022)
学术服务
1. 海南医学会核医学分会 委员 (2023-2026)
2. 期刊Radiation Medicine and Protection (RMP) 青年编委 (2023-2025)
3. 方滨兴研讨厅—中国网络空间安全人才教育论坛 (2023-2024)
4. 期刊IEEE Transactions on Neural Networks and Learning Systems 审稿人
5. 学术会议2024 The International Joint Conference on Neural Networks (IJCNN) TPC reviewer
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