2006.03 - 2009.06，东南大学，博士 2002.09 - 2005.04，国网电力科学研究院，硕士 1997.09 - 2001.06，郑州大学，学士

2009.06-2015.06 南京信息工程大学，讲师，硕士生导师； 2015.07-至今 南京信息工程大学，副教授，硕士生导师。 2010.09-2011.03 香港中文大学，博士后 (Research Associate) 2008.09-2008.12 University of California Los Angeles, Institute for Pure and Applied Mathematics, Research Fellow 2003.07-2005.04 国电Ⴕ୔

1. 国家自然科学基金青年项目，“鲁棒性在线子空间辨识与跟踪的关键问题研究”，项目负责人，25万，2013-2015

Book Chapter [B.1] He, Jun; Balzano,Laura; Szlam, Arthur. “Online Robust Background Modeling via Alternating Grassmannian Optimization.” In Background Modeling and Foreground Detection for Video, Chapman and Hall/CRC Press，2014. Journal Paper [J.8] He, Jun; Zhang, Yue; Zhou, Yuan; Zhang, Lei: Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery, IET Signal Processing, 2016, DOI: 10.1049/iet-spr.2016.0049 [J.7] 胡昭华, 袁晓彤, 李俊, & 何军. (2015). 基于目标分块多特征核稀疏表示的视觉跟踪. 计算机研究与发展, 52(7), 1692-1704. [J.6] He, J., Zhang, D., Balzano, L., & Tao, T. (2014). Iterative Grassmannian optimization for robust image alignment. Image and Vision Computing, 32(10), 800-813. [J.5] Wu, H., Li, B., Pei, Y., & He, J. (2014). Unsupervised author disambiguation using Dempster–Shafer theory. Scientometrics, 101(3), 1955-1972. [J.4] Wu, H., Cui, X., He, J., Li, B., & Pei, Y. (2014). On improving aggregate recommendation diversity and novelty in folksonomy-based social systems. Personal and Ubiquitous Computing, 18(8), 1855-1869. [J.3] He, J., Gao, M. W., Zhang, L., & Wu, H. (2013). Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement. Algorithms, 6(4), 871-882. [J.2] Wu, H., He, J., & Pei, Y. (2010). Scientific impact at the topic level: A case study in computational linguistics. Journal of the American Society for Information Science and Technology, 61(11), 2274-2287. [J.1] He, J., Zhang, L., Wang, Q., & Li, Z. (2009). Using diffusion geometric coordinates for hyperspectral imagery representation. Geoscience and Remote Sensing Letters, IEEE, 6(4), 767-771. Conference Paper [C.3] He, J., Xue, Z. Y., Gao, M. W., & Wu, H. (2014, December). A mahout based image classification framework for very large dataset. In Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on (pp. 119-122). IEEE. [C.2] He, J., Zhang, D., Balzano, L., & Tao, T. (2013, April). Iterative online subspace learning for robust image alignment. In Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on (pp. 1-8). IEEE. [C.1] He, J., Balzano, L., & Szlam, A. (2012, June). Incremental gradient on the grassmannian for online foreground and background separation in subsampled video. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on (pp. 1568-1575). IEEE.

1. 发明专利（授权） （ZL 201410127396.6），“压缩感知下基于固定子空间的稀疏信号分离方法” 2. 发明专利（公开）（201510289260.X），“一种基于随机投影和Fisher向量的人物行为识别方法” 3. 发明专利（公开）（201510993106.0），“一种基于在线迭代子空间学习的目标跟踪方法” 4. 发明专利（公开）（201610049490.3），“一种适宜于视觉大数据的词频直方图计算方法”