温智婕
温智婕，副教授，wenzhijie@shu.edu.cn
研究领域：机器学习、图像处理、计算机视觉、小波分析
教育经历与工作经历：
2018.3-现在 永利数学系 副教授
2012.1-2018.2 永利数学系 讲师
2011.1-2011.12 瑞典皇家工学院 博士后
2008.7-2010.12 永利数学系 讲师
2005.09-2008.06 大连理工大学应用数学系 计算数学专业 博士
2003.09-2005.07 大连理工大学应用数学系 计算数学专业 硕士
代表性科研项目：
1. 国家自然科学基金青年项目，基于特征表示的自适应纹理分类模型及算法研究，2018/01-2020/12，结题，主持
2. 国家自然科学基金重点项目，基于多模态医学影像的乳腺癌智能诊断系统，2019/01-2023/12，在研，主要参与
3. 国家自然科学基金面上项目，大脑影像智能分析的小样本学习理论与方法研究，2020/01-2023/12，在研，主要参与
4. 上海市科委项目，基于脑影像处理与智能分析的脑疾病早期诊断，2018/01-2021/12，在研，参与
5. 国家自然科学基金面上项目，大脑影像标准化的优化模型与算法研究，2015/01-2018/12，结题，参与
代表性学术论文：
1. Lei Jin, Zhijie Wen, Zongyi Hu. Topology-preserving nonlinear shape registration on the shape manifold. Multimedia Tools and Applications. 2020. doi：10.1007/s11042-020-09203-y
2. Wei Wang, Zhijie Wen*, Liyan Ma, Shihui Ying. Multi-metric joint discrimination network for few-shot classification. 2020, 3rd Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Nanjing, China, October, 16-18.
3. Zhijie Wen, Ru Feng, Jingxin Liu, Ying Li, Shihui Ying*. GCSBA-Net: Gabor-based and cascade squeeze bi-attention network for gland segmentation. IEEE Journal of Biomedical and Health Informatics. 11, August, 2020. doi: 10.1109/JBHI.2020.3015844.
4. Zhijie Wen, Jiawei Guan, Tieyong Zeng, Ying Li*, Residual network with detail perception loss for single image super-resolution. Computer Vision and Image Understanding. 3, June, 2020. doi: 10.1016/j.cviu.2020.103007.
5. Zhijie Wen, Qikun Zhao, Lining Tong*. CNN-based minor fabric defects detection. International Journal of Clothing Science and Technology. May, 2020. doi: 10.1108/IJCST-11-2019-0177.
6. Zhijie Wen, Zhihu Liu, Yichen Zong, Baojun Li*. Latent local feature extraction for low-resolution virus image classification. Journal of the Operations Research Society of China. 2020, 8(1): 117-132.
7. Zhijie Wen, Mingyang Sun, Ying Li, Shihui Ying, Yaxin Peng*. Asymmetric local metric learning with PSD constraint for person re-identification, International Conference on Robotics and Automation (ICRA), Palais des congress de Montreal, Canada, 2019, May 20-24, 4862-4868.
8. Ying Li, Lin Cheng, Yaxin Peng*, Zhijie Wen, Shihui Ying. Manifold Alignment and Distribution Adaptation for Unsupervised Domain Adaptation, International Conference on Multimedia and Expo (ICME), 2019, 688-693.
9. Shihui Ying#, Zhijie Wen, Jun Shi, Yaxin Peng*, Jigen Peng, Hong Qiao, Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning. IEEE Transactions on Neural Networks & Learning Systems, 2018, 29(7): 2731-2742.
10. Baojun Li, Ying Dong, Zhijie Wen, Mingzeng Liu, Lei Yang, Mingliang Song. A machine learning-based framework for analyzing car brand styling, Adavaces in Mechanical Engineering. 2018, 10(1): 1-17.
11. Junjie Cao#, Jie Zhang, Zhijie Wen*, Nannan Wang, Xiuping Liu. Fabric defect inspection using prior knowledge guided least squares regression, Multimedia Tools and Applications, 2017, 6: 4141~4157.
12. Bo Li#, Chunyuan Lu, Zhijie Wen, Chengcai Leng, Xiuping Liu, Locality-constrained nonnegative robust shape interaction subspace clustering and its applications, Digital Signal Processing, 2017, 60: 113~121.
13. Zhijie Wen, Zhuojun Li, Yaxin Peng, Shihui Ying. Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis. Pattern Recognition Letters, 2016(79): 25-30.
14. Shihui Ying, Han Qin, Yaxin Peng, Zhijie Wen*, Compute Karcher means on SO(n) by the geometric conjugate gradient method, Neurocomputing, 2016. 215:169-174.
15. Shihui Ying, Yuanwei Wang, Zhijie Wen*, Yuping Lin. Nonlinear 2D shape registration via thin-plate spline and Lie group representation. Neurocomputing, 2016 (195): 129-136.
16. Junjie Cao , Nannan Wang , Jie Zhang , Zhijie Wen* , Bo Li , Xiuping Liu, Detection of varied defects in diverse fabric images via modified RPCA with noise term and defect prior, International Journal of Clothing Science and Technology, 2016(28): 516 – 529.
17. Baojun Li#*, Ying Dong, Dedong Zhao, Zhijie Wen, Lei Yang, A PCANet based method for vehicle make recognition, 2016 IEEE 19th International Conference on Intelligence on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil. 2016.
(最后更新日期：2021.1.23)
