张晴

发布时间:2025-04-28浏览次数:10


一、个人简介:

张晴,女,汉族,1983.03出生,教授,硕导(智能科学与技术、电子信息、数学

归属学科专业:智能科学与技术

学部任职:无

二、主要学习与工作经历

2022.07---至今上海应用技术大学智能技术学部,教授

2017.01---2022.06上海应用技术大学计算机科学与信息工程学院,副教授

2012.05---2016.12上海应用技术大学计算机科学与信息工程学院,讲师

2007.09---2012.03华东理工大学 ,信息科学与工程学院,控制科学与工程博士免试直升硕博连读

2003.09---2007.06华东理工大学 ,信息科学与工程学院,信息工程学士

三、主要科研工作与成绩

3.1 科研项目

12021.07—2024.06 上海市自然科学基金面上项目(21ZR1462600)

22019.07—2022.06 上海市自然科学基金面上项目(19ZR1455300)

32015.01—2017.12 国家自然科学基金青年项目(61401281)

42014.07—2017.06 上海市自然科学基金(14ZR1440700)

3.2 科研成果

  1. Liqian Zhang, Qing Zhang*. Salient Object Detection with Edge-guided Learning and Specific Aggregation. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(1): 534-548. (中科院1区,Top期刊)

  2. Jinghui Shi, Qing Zhang*, Yuhao Tang, Zhongqun Zhang. Polyp-Mixer: An Efficient Context-Aware MLP-based Paradigm for Polyp Segmentation. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(1): 30-42. (中科院1区,Top期刊)

  3. Qing Zhang*, Rui Zhao, Liqian Zhang. TCRNet: a trifurcated cascaded refinement network for salient object detection. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(1): 298-311. (中科院1区,Top期刊)

  4. Liqian Zhang, Qing Zhang*, Rui Zhao. Progressive dual-attention residual network for salient object detection. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(9): 5902-5915. (中科院1区,Top期刊)

  5. Rui Zhao, Yuetong Li, Qing Zhang*, Xinyi Zhao. Bilateral Decoupling Complementarity Learning Network for Camouflaged Object Detection. Knowledge-based Systems, 2025. (中科院1区,Top期刊)

  6. Qing Zhang*, Yanjiao Shi, Xueqin Zhang. Attention and boundary guided salient object detection. Pattern Recognition, 2020, 107: 107-484. (中科院1区,Top期刊)

  7. Chenxi Zhang, Qing Zhang*, Jiayun Wu. Rethinking camouflaged object detection via foreground-background interactive learning. International Conference on Acoustics, Speech, and Signal Processing, 2025. (CCF-B)

  8. Yilin Zhao, Qing Zhang*, Yuetong Li. Camouflaged object detection with CNN-Transformer Harmonization and Calibration. International Conference on Acoustics, Speech, and Signal Processing, 2025. (CCF-B)

  9. Yuetong Li, Qing Zhang*, Yilin Zhao, Qiangqiang Zhou. Frequency-guided Camouflaged Object Detection with Perceptual Enhancement and Dynamic Balance. IEEE International Conference on Multimedia and Expo, 2025. (CCF-B)

  10. Jicheng Yang, Qing Zhang*, Yilin Zhao, Yuetong Li, Zeming Liu. Bi-directional boundary-object interaction and refinement network for camouflaged object detection. IEEE International Conference on Multimedia and Expo, 2024. (CCF-B)

  11. Qing Zhang*, Weiqi Yan. CFANet: A Cross-layer Feature Aggregation Network for Camouflaged Object Detection. IEEE International Conference on Multimedia and Expo, 2023: 2441-2446. (CCF-B)

  12. Yilin Zhao, Qing Zhang*, Yuetong Li. FLRNet: A Bio-inspired Three-stage Network for Camouflaged Object Detection via Filtering, Localization and Refinement. Neurocomputing, 2025. (中科院2)

  13. Qing Zhang*, Weiqi Yan , Rui Zhao , Yanjiao Shi. Detecting Camouflaged Object via Cross-level Context Supplement. Applied Intelligence, 2024, 54: 9685-9705. (中科院2)

  14. Qing Zhang*, Yanjiao Shi, Xueqin Zhang, Liqian Zhang. Residual attentive feature learning network for salient object detection. Neurocomputing, 2022, 51:741-752. (中科院2)

  15. Wenzhao Cui, Qing Zhang*, Baochuan Zuo. Deep saliency detection via spatial-wise dilated convolutional attention. Neurocomputing, 2021, 445: 35-49. (中科院2)

四、主要社会学术团体兼职

人工智能学会智能设计与传播专委会委员

第八届上海市高等学校信息技术水平考试考委会委员

五、主要研究方向

视觉感知计算、计算机视觉、深度学习、人工智能

六、联系方式

办公室:

Email地址:zhangqing0329@gmail.com