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赵淑平 博士

2021年01月06日 09:08  Click：[]

27836

                         青年百人计划A层次

·研究方向：机器视觉、生物特征安全与识别、医学图像处理、深度学习、模式识别

·迄今为止在上述领域已发表顶级期刊及会议论文近40篇，包含IEEE TIP、IEEE TNNLS、IEEE TMM、IEEE TSMC等

·联系方式：haifan.333@163.com


教育背景:

2017.08 - 2020.12          澳门大学计算机科学                           博士

2013.09 - 2016.06          华南师范大学信息资源管理               硕士

工作经历:

2021.04 - 至今                  广东工业大学计算机学院

2020.10 - 2021.04           清华大学信息学部（访问学者）

发表论文:

  1. Shuping Zhao; Jigang Wu; Bob Zhang; Lunke Fei; Shuyi Li; Pengyang Zhao, Adaptive Graph Embedded Preserving Projection Learning for Feature Extraction and Selection, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022.(SCI, JCR Q1, IF: 11.471, 中科院一区）

  2. Shuping Zhao, Jigang Wu, Lunke Fei L, Bob Zhang. Double-cohesion learning based multiview and discriminant palmprint recognition, Information Fusion, 2022, 83: 96-109.(SCI, JCR Q1, IF: 17.564, IF TOP 2 Journal, 中科院一区)

  3. Shuping Zhao, Bob Zhang, Learning Complete and Discriminative Direction Pattern for Robust Palmprint Recognition, IEEE Transactions on image processing, Dec. 2020, vol. 30, 1001-14.(SCI, JCR Q1, IF: 11.041, 中科院一区, CCF-A)

  4. Shuping Zhao, Bob Zhang, Learning Salient and Discriminative Descriptor for Palmprint Feature Extraction and Identification, IEEE Transactions on Neural Networks and Learning Systems, Jan. 2020.  doi: 10.1109/TNNLS.2020.2964799.(SCI, JCR Q1, IF: 14.255, 中科院一区, CCF-B)

  5. Shuping Zhao, Lunke Fei, et al., Intrinsic and Complete Structure Learning Based Incomplete Multiview Clustering. IEEE Transactions on Multimedia, 2021(SCI, JCR Q1, IF: 8.182, 中科院一区, CCF-B)

  6. Shuping Zhao, Bob Zhang, Joint Constrained Least Square Regression with Deep Convolutional Feature for Palmprint Recognition, IEEE Transactions on Systems, Man and Cybernetics: Systems, June 2020, doi: 10.1109/TSMC.2020.3003021.(SCI, JCR Q1, IF: 11.471, 中科院一区)

  7. Shuping Zhao, Jigang Wu, Bob Zhang, Lunke Fei, Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation. Pattern Recognition, 123, 108346, 2022(SCI, JCR Q1, IF: 8.518, 中科院一区, CCF-B)

  8. Shuping Zhao, Bob Zhang, C.L. Philip Chen, Joint deep convolutional feature representation for hyperspectral palmprint recognition, Information Sciences, 489 (2019) 167-181, doi.org/10.1016/j.ins.2019.03.027(SCI, JCR Q1, IF: 8.233, 中科院一区, CCF-B)

  9. Shuping Zhao, Bob Zhang, Deep discriminative representation for generic palmprint recognition. Pattern Recognition, 2020, 98: 107071(SCI, JCR Q1, IF: 8.518, 中科院一区, CCF-B)

  10. Shuping Zhao, Zhongwei Cui, Lian Wu, Yong Xu, et al., Salient and consensus representation learning based incomplete multiview clustering. Applied Intelligence, 1-15, 2022(SCI, JCR Q1, IF: 5.019, 中科院二区）

  11. Shuping Zhao, Bob Zhang, Shuyi Li, Discriminative and sparsity based least squares regression with L1 regularization for feature representation, 45th International Conference on Acoustics, Speech, and Signal Processing, May, 2020, Barcelona, Spain, pp. 1504-1508.(信号处理领域Top会议, CCF-B)

  12. Shuping Zhao, Bob Zhang, A Robust and Adaptive Algorithm for Hyperspectral Palmprint Region of Interest Extraction, IET Biometrics, DOI: 10.1049/iet-bmt.2018.5051.(SCIE, JCR Q3, IF: 2.716, 中科院三区)

  13. Shuping Zhao, Wei Nie, Bob Zhang, Multi-Feature fusion using collaborative residual for hyperspectral palmprint recognition, 2018 IEEE 4th International conference on cpmputer and communications(ICCC), 2018, Dec. 7-8.(EI)

  14. Shuping Zhao, Wei Nie, Bob Zhang, AI and Deep Learning Based Hyperspectral Multimodal Biometric Authentication System Using Palmprint and Dorsal Hand Vein, CRC Press, 2020.(专著)

  15. Lunke Fei, Shuping Zhao, Wei Jia, Bob Zhang,  Jie Wen, Yong  Xu, Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network. IEEE Transactions on Neural Networks and Learning Systems, 2022. To be published.(SCI, JCR Q1, IF: 14.255, 中科院一区)

  16. Siyuan Ma, Qintai Hu, Shuping Zhao, Jiangang Wu, Enhanced Discriminant Local Direction Pattern Learning for Robust Palmprint Identification. In International Conference on Parallel and Distributed Computing: Applications and Technologies (pp. 504-511). Springer, Cham. 2022.(EI)

  17. Pengyang Zhao, Shuping Zhao, Chen, L., Yang, W., & Liao, Q., Exploiting Multi-Perspective Driven Hierarchical Content-Aware Network for Finger Vein Verification. IEEE Transactions on Circuits and Systems for Video Technology, 2022. To be published.(SCI, JCR Q1, IF: 5.234, 中科院一区, CCF-B)

  18. Zhuojie Huang, Shuping Zhao, Lunke Fei, Jigang Wu, Weighted Graph Embedded Low-Rank Projection Learning for Feature Extraction. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp. 1501-1505, May 2022, IEEE.(信号处理领域Top会议, CCF-B)

  19. Pingping Wu, Lunke Fei,Shuping Zhao, Kang, Peipei Kang, Shaohua Teng, Xiaozhao Fang. Adaptive Joint Interdependency Learning for 2D Occluded Hand Pose Estimation. In Chinese Conference on Biometric Recognition (pp. 217-225), 2022,  Springer, Cham.(EI)

  20. Xiao Sun, Lunke Fei, Shuping Zhao, Shuyi Li, Jie Wen,  Wei Jia. Texture-Guided Multiscale Feature Learning Network for Palmprint Image Quality Assessment. In Chinese Conference on Biometric Recognition (pp. 550-558), 2022, Springer, Cham. (EI)

  21. Liu, J., Lunke Fei,Shuping Zhao, Jie Wen, et al.,Supervised Discrete Online Hashing For Large-scale Cross-modal Retrieval. In 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) (pp. 896-902),  August 2022, IEEE. (EI)

  22. Li, S., Zhang, B., Fei, L., Shuping Zhao, & Zhou, Y., Learning Sparse and Discriminative Multimodal Feature Codes for Finger Recognition. IEEE Transactions on Multimedia, 2021.(SCI, JCR Q1, IF: 8.182, 中科院一区)

  23. Wu, P., Fei, L., Li, S., Shuping Zhao, Fang, X., Teng, S., Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network, IET Biometrics, 2022.(SCIE, JCR Q3, IF: 2.716, 中科院三区)

  24. Shuyi Li, Bob Zhang, Lunke Fei, Shuping Zhao. Joint Discriminative Feature Learning for Multimodal Finger Recognition. Pattern Recognition. 2020 Oct 14:107704.(SCI, JCR Q1, IF: 8.518,中科院一区、CCF-B)

  25. Liu, J., Fei, L., Jia, W., Shuping Zhao, Wen, J., Teng, S., & Zhang, W. , Discrete semantic embedding hashing for scalable cross-modal retrieval. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1461-1467). IEEE., 2021, October. (EI)

  26. Wu, L., Xu, Y., Cui, Z., Zuo, Y., Shuping Zhao, Fei, L., Triple-type feature extraction for palmprint recognition. Sensors, 21(14), 4896, 2021.(SCIE, JCR Q2, IF: 3.847, 中科院三区)

  27. Shuyi Li, Bob Zhang, Shuping Zhao, Jinfeng Yang. Local Discriminant Coding based Convolutional Feature Representation for Multimodal Finger Recognition. Information Sciences. 2020 Oct 1.(SCI, JCR Q1, IF: 5.91, 中科院一区)

  28. Lunke Fei, Bob Zhang, Jie Wen, Chunwei Tian, Peng Liu, Shuping Zhao, Joint Learning Multiple Curvature Descriptor for 3D Palmprint Recognition, 2020 25th International Conference on Pattern Recognition, Milan, Italy, 2020.(EI, CCF-C)

  29. Wei Nie, Bob Zhang, Shuping Zhao, Discriminative Local Feature for Hyperspectral Hand Biometrics by Adjusting Image Acutance, Applied Sciences, 2019, 9(19): 4178.(SCIE, JCR Q2, IF: 2.474, 中科院三区)

  30. Bob Zhang, Wei Nie, Shuping Zhao, A novel Color Rendition Chart for digital tongue image calibration. Color Res Appl. 2018;00:1–11. (SCI, JCR Q4, IF: 1.688, 中科院四区)

  31. Wei Nie, Bob Zhang, Shuping Zhao, A Novel Hyperspectral Based Dorsal Hand Recognition System, 2019 11th  International Conference on Machine Learning and Computing, 2019, Feb 22-24, ACM. (EI)

  32.  Liang H, Fei L, Zhao S, et al. Mask-guided multiscale feature aggregation network for hand gesture recognition[J]. Pattern Recognition, 2024, 145: 109901.

  33. Yang, Y., Fei, L., Alshehri, A. H., Zhao, S., Sun, W., & Teng, S. (2023). Joint multi-type feature learning for multi-modality FKP recognition. Engineering Applications of Artificial Intelligence, 126, 106960.

  34. Wu, L., Huang, C., Fei, L., Zhao, S., Zhao, J., Cui, Z., & Xu, Y. (2023). Video-Based Fall Detection Using Human Pose and Constrained Generative Adversarial Network. IEEE Transactions on Circuits and Systems for Video Technology.

  35. Su, L., Fei, L., Zhao, S., Wen, J., Zhu, J., & Teng, S. (2023). Learning modality-invariant binary descriptor for crossing palmprint to palm-vein recognition. Pattern Recognition Letters, 172, 1-7.

  36. Wu, L., Huang, C., Zhao, S., Li, J., Zhao, J., Cui, Z., ... & Zhang, M. (2023). Robust fall detection in video surveillance based on weakly supervised learning. Neural networks, 163, 286-297.

  37.  Zhao, P., Zhao, S., Xue, J. H., Yang, W., & Liao, Q. (2023). The neglected background cues can facilitate finger vein recognition. Pattern Recognition, 136, 109199.

  38. Zhao, S., Fei, L., & Wen, J. (2023). Multiview-Learning-Based Generic Palmprint Recognition: A Literature Review. Mathematics, 11(5), 1261.

  39.  Ma, S., Hu, Q., Zhao, S., Wu, W., & Wu, J. (2023). Multiscale Multidirection Binary Pattern Learning for Discriminant Palmprint Identification. IEEE Transactions on Instrumentation and Measurement, 72, 1-12.

  40. Fei, L., Wong, W. K., Zhao, S., Wen, J., Zhu, J., & Xu, Y. (2023). Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition. IEEE Transactions on Systems, Man, and Cybernetics: Systems.

学术兼职:

  1. Institute of Electrical and Electronics Engineers (IEEE): Member 

  2. 中国计算机学会（CCF）: 人工智能与模式识别专委会委员，计算机视觉专委会委员，大数据专委会委员，计算机应用专委会委员

  3. IEEE Transactions on Systems, Man, and Cybernetics: Systems 审稿人

  4. IEEE Transactions on Neural Networks and Learning Systems 审稿人

  5. IEEE Transactions on Circuits and Systems for Video Technology 审稿人

  6. ACM Multimedia Conference (CCF-A) 审稿人

  7. AAAI Conference (CCF-A) 审稿人

  8. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (CCF-B) 审稿人

  9. Applied Intelligence (SCI) 审稿人

  10. CAAI Transactions on Intelligence Technology (EI) 审稿人

科研项目:

  1. 国家自然科学基金青年基金，基于多视角学习的非接触式掌纹鲁棒识别方法研究，主持，2022.01-2024.12。

  2. 中国博士后科学基金面上项目，缺损数据非完整多视图聚类方法研究，主持，2022.06-2023.04。

  3. 国家自然科学基金面上项目，非约束异质掌纹识别关键问题研究，参与，2022.01-2026.12。

  4. 广东省自然科学基金穗莞联合基金，面向大规模多源异构数据应用的自主学习模型与算法研究，参与，2021.10-2023.03。

  5. 广州市黄浦区2021年度国际合作项目，面向自主学习的大规模多源异构数据共享平台关键技术研究，参与，2021.12-2023.12。

广东工业大学计算机学院高性能计算与数据科学实验室

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