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，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），2024/01-2026/12，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），2023/01-2027/12，主持
3. 海南省重大科技计划，海底数据中心关键技术研究及应用示范（ZDKJ2021052），2023/01-2024/12，参与
4. 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），2023/01-2023/12，参与
5. 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），2020/01-2022/12，主研
6. 澳门科学技术基金，Optimized respiratory gating strategy for thoracic PET/CT （114/2016/A3），2018/08-2021/12，参与
部分论文
[1] Y Du, JZ Sun, CY Li, BH Yang, TH Wu, and GSP Mok*. Deep learning-based multi-frequency denoising for myocardial perfusion SPECT. EJNMMI Physics. 2024. (中科院2区)
[2] ZY Peng, FW Zhang, Han Jiang, GC Liu, JZ Sun, Y Du, Y Wang*, and GSP Mok*. Deep learning-based low dose whole body PET denoising incorporating CT priors. Quantitative Imaging in Medicine and Surgery. 2024. (中科院2区)
[3] Y Du, JZ Sun, CY Li, BH Yang, TH Wu, and GSP Mok*. Myocardial perfusion SPECT denoising using an attention-guided generative adversarial network with integrated multi-frequency generators. Paper accepted for presentation at Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2024 Annual Meeting, June 8-11, 2024. Toronto, Canada. (美国核医学年会)
[4] TH Qiao, CJ Cao, BH Zou, FJ Tao, YN Cheng, Q Zhang, and JZ Sun*. A weighted discrete wavelet transform-based capsule network for malware classification. In Conference Record of 27th International Conference on Pattern Recognition (ICPR 2024), December 1-5, Kolkata, India. (CAAI-B, CCF-C)
[5] BH Zou, CJ Cao*, LJ Wang, SZ Fu, TH Qiao, and JZ Sun. FACILE: A capsule network with fewer capsules and richer hierarchical information for malware image classification. Computers & Security, 137 (2024): 103606. (中科院2区)
[6] 符思政, 曹春杰*, 刘志远, 陶方舰 & 孙敬张*. 用于攻击深度哈希图像检索模型的双分支自编码器网络. 电信科学. 39, no. 11 (2023): 96-106. (中国通信学会T1)
[7] ZY Liu, CJ Cao*, FJ Tao, and JZ Sun*. 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)
[8] 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
[9] JZ Sun, CY Li, TH Wu, BH Yang, and GSP Mok*. 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. (美国核医学年会)
[10] HR Li, CJ Cao*, Y Sun, HF Peng, YF Li, and JZ Sun*. 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)
[11] SZ Fu, CJ Cao*, FJ Tao, BH Zou, XY Lin, and JZ Sun*. 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)
[12] ZL Lu, GF Chen, H Jiang, JZ Sun, K-H Lin, and GSP Mok*. 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. 50, no. 8 (2023): 2319-2330. (中科院1区Top)
[13] Y Du, H Jiang, CN Lin, ZY Peng, JZ Sun, PY Chiu, GU Hung *, and GSP Mok*. Generative adversarial network-based attenuation correction for 99mTc-TRODAT-1 brain SPECT. Frontiers in Medicine, 10 (2023): 1171118
[14] JZ Sun, CY Li, Y Du, TH Wu, YH Liu, BH Yang*, and GSP Mok*. Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. Frontiers in Medicine. 10 (2023): 1083413
[15] Y Du, JJ Shang, JZ Sun, L Wang, YH Liu, H Xu, and GSP Mok*. Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT. Journal of Nuclear Cardiology. 30, no. 3 (2023): 1022-1037
[16] JZ Sun, H Jiang, Y Du, CY Li, TH Wu, YH Liu, BH Yang*, and GSP Mok*. Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. Journal of Nuclear Cardiology. 30, no. 3 (2023): 970-985. (2024年度最佳技术论文)
[17] JZ Sun, CY Li, Y Du, TH Wu, BH Yang, YH Liu and GSP Mok*. 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. (核医学领域顶级会议，Oral presentation, <5%)
[18] JZ Sun, CY Li, Y Du, TH Wu, YH Liu, BH Yang, and GSP Mok*. Deep learning-based denoising for low dose myocardial perfusion SPECT. The 8th Rising Nuclear Medicine Professional Challenge at 14th Asia Oceania Congress of Nuclear Medicine and Biology (AOCNMB), September 6-7, 2022. Kyoto, Japan. (亚洲大洋洲核医学年会联盟，核医学青年研究者竞赛)
[19] JZ Sun, Q Zhang, Y Du, D Zhang, PH Pretorius, MA King, and GSP Mok*. Dual gating myocardial perfusion SPECT denoising using a conditional generative adversarial network. Medical Physics. 49, no. 8 (2022): 5093-5106. (中科院2区)
[20] JZ Sun, Y Du, CY Li, TH Wu, BH Yang, and GSP Mok*. Pix2Pix generative adversarial network for low dose myocardial perfusion SPECT denoising. Quantitative Imaging in Medicine and Surgery. 12, no. 7 (2022): 3539. (中科院2区)
[21] Y Du, JZ Sun, and GSP Mok*. 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. (核医学领域顶级会议，Oral presentation, <5%)
[22] GSP Mok*, JZ Sun, Q Zhang and Y Du. 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. (核医学领域顶级会议，Oral presentation, <5%)
[23] D Zhang, JZ Sun, PH Pretorius, MA King and GSP Mok*. Clinical evaluation of three respiratory gating schemes for different respiratory patterns on cardiac SPECT. Medical physics, 47, no. 9 (2020): 4223-4232. (中科院2区)
[24] JZ Sun, Q Zhang, D Zhang, PH Hendrik, MA King and GSP Mok*. 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. (核医学领域顶级会议)
[25] 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, 37(Z1), 2016. (CCF-T1)
知识产权
1. 曹春杰，荆兆星，孙敬张，闫鸿宇. 基于区块链的司法数据处理方法. 发明专利. CN 118133306 B. 2024年09月13日. (已授权)
2. 恶意软件分类检测系统V1.0. 2024SR1236957. 软件著作权. 2024年08月23日.
获奖情况
1. 2023年度最佳技术论文奖（美国核心脏学会ASNC）(2024)
2. 指导学生获“北斗杯”第十五届全国青少年空天科技体验与创新大赛国家三等奖2项、海南省一等奖2项 (2024)
3. 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)
4. IEEE NSS/MIC Conference Trainee Award (2022 & 2019)
5. 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. 中国人工智能学会 青年工作委员会 (2024-2025)
3. 期刊Radiation Medicine and Protection (RMP) 青年编委 (2023-2025)
4. 期刊IEEE Transactions on Neural Networks and Learning Systems，Medical Physics 审稿人
5. 学术会议2024 The International Joint Conference on Neural Networks (IJCNN) TPC reviewer
个人网站：https://hnumedimglab.github.io/
招收研究生，欢迎邮件联系！
