Research Experience:

Post-doctoral Fellow, Department of Computing Science, University of Alberta (2017.12~2018.10)

Post-doctoral Fellow, Southeast University (2016.09~2019.03)

Jointly Supervised Ph.D, The Faculty of Engineering and Information Technology, The University of Technology Sydney (2015.01~2016.01)

Jointly Supervised Ph.D, National Laboratory of Pattern Recognition, CASIA (2012.07~2014.10)

 

Educational Background:

Ph.D, Pattern Recognition and Intelligent Systems, Southeast University (2016)

M. Eng, Control Theory and Control Engineering, Southeast University (2011)

B. Eng, Electrical Engineering and Automation, Nanjing Normal University (2008)

 

Research

 

Research Interests:

Multimedia Retrieval

Computer Vision

Pattern Recognition

Robotics

Image Processing

 

Research Projects：

Principal Investigator:

1. “Multi-view subspace learning based on heterogeneous feature fusion”, Natural Science Foundation of China (2022-2025)
2. “Multi-source heterogeneous visual feature learning in large-scale image retrieval”, Natural Science Foundation of China (2018-2020)
3. “Multi-view hierarchical feature learning in large-scale image retrieval”, Natural Science Foundation of Jiangsu Province (2017-2020)
4. “Research on visual Feature Learning and Representations in Content-based Image Retrieval”, China Postdoctoral Science Foundation (2017-2019)

 

Collaborator:

5. “Research on Hybrid Feature Learning Method for Static Image Behavior Recognition”, Natural Science Foundation of China (2018-2021)
6. “Research on road registration and matching algorithm based on end-to-end learning and its application in non-GPS UAV positioning”, Natural Science Foundation of China (2018-2021) (2019-2021)

 

Journal Articles：

• Bo Yang, Jun Li^*, Hong Zhang, Resilient Indoor Localization System Based on UWB and Visual–Inertial Sensors for Complex Environments,  IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-14, doi: 10.1109/TIM.2021.3101322.
• Zhijian Wu, Jun Li^*, Jianhua Xu, Wankou Yang, Beyond ITQ: Efficient binary multi-view subspace learning for instance retrieval, Journal of Visual Communication and Image Representation, 2021, 79: 1-11.
• Zhikang Fu, Jun Li^*, Guoqing Chen, Tianbao Yu, and Tiansheng Deng, PornNet: A Unified Deep Architecture for Pornographic Video Recognition, Applied Sciences, 2021, 11(7): 3066.
• Jun Li, Bo Yang^*, Wankou Yang, Changyin Sun, Jianghua Xu, Subspace-based multi-view fusion for instance-level image retrieval, The Visual Computer, 2021, 37: 619-633.
• Jun Li^*, Chang Xu, Wankou Yang, Changyin Sun, Jianhua Xu, Hong Zhang, Discriminative Multi-View Privileged Information Learning for Image Re-Ranking, IEEE Transactions on Image Processing, 2020, 29(1): 3490-3505.
• Biyun Sheng, Jun Li, Fu Xiao^*, Qun Li, Wankou Yang, Junwei Han, Discriminative Multi-View Subspace Feature Learning for Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(12): 4591-4600.
• Biyun Sheng, Jun Li, Fu Xiao^*, Wankou Yang, Multilayer deep features with multiple kernel learning for action recognition, Neurocomputing, 399: 65-74, 2020.
• Wankou Yang^*, Xian Zhang, Jun Li, A local multiple patterns feature descriptor for face recognition, Neurocomputing, 373: 109-122, 2020.
• Jun Li^*, Chang Xu, Wankou Yang, Changyin Sun, Kotagiri Ramamohanarao, Dacheng Tao, ROMIR: Robust Multi-view Image Re-ranking, IEEE Transactions on Knowledge and Data Engineering, 31(12): 2393-2406, 2019.
• Jifeng Shen^*, Xin Zuo, Lei Zhu, Jun Li, Wankou Yang, Haibin Ling, Pedestrian Proposal and Refining Based on the Shared Pixel Differential Feature, IEEE Transactions on Intelligent Transportation Systems, 20(6): 2085-2095, 2019.
• Biyun Sheng, Chunhua Shen, Guosheng Lin, Jun Li, Wankou Yang, Changyin Sun^*, Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps, IEEE Transactions on Circuits and Systems for Video Technology, 28(8): 1788-1797, 2018. 
• Jun Li^*, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao, Discriminative Multi-view Interactive Image Re-ranking, IEEE Transactions on Image Processing, 26(7): 3113 – 3127, 2017.
• Jun Li, Chang Xu, Wankou Yang, Changyin Sun^*, SPA: Spatially Pooled Attributes for Image Retrieval, Neurocomputing, 257: 47-58, 2017.
• Jifeng Shen^*, Xin Zuo, Jun Li, Wankou Yang, Haibin Ling, A Novel Pixel Neighborhood Differential Statistic Feature for Pedestrian and Face Detection, Pattern Recognition, 63: 127-138, 2017.
• Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun^*, SERVE: Soft and Equalized Residual VEctors for Image Retrieval, Neurocomputing, 207: 202-212, 2016.

 

Conference Proceedings:

• Zhijian Wu, Jun Li, Jianhua Xu, Binary Multi-view Image Re-ranking, 11^th International Conference on Image and Graphics (ICIG), Haikou, China: 578-590, 2021.
• Zhijian Wu, Jun Li, Jianhua Xu, Efficient Binary Multi-view Subspace Learning for Instance-level Image Retrieval, 27^th International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand: 59-68, 2020.
• Jun Li, Bo Yang, Wankou Yang, Changyin Sun, Hong Zhang, When deep meets shallow: subspace-based multi-view fusion for instance-level image retrieval, 15^th IEEE International Conference on Robotics and Biomimetics (ROBIO), Kuala Lumpur, Malaysia: 486-492, 2018.
• Zhikang Fu, Bing Li, Jun Li, Shuhua Wei, Fast Film Genres Classification Combining Poster and Synopsis, 5^th International Conference on Intelligent Science and Big Data Engineering (IScIDE), Suzhou, China: 72-81, 2015.
• Jun Li, Changyin Sun, Junliang Xing, Weiming Hu, pVLAD: A discriminative image descriptor for image retrieval, 11^th IEEE World Congress on Intelligent Control and Automation (WCICA), Shenyang, China: 93-98, 2014. 
• Jun Li, Shan Zhou, Junliang Xing, Changyin Sun, Weiming Hu, An efficient approach to web near-duplicate image detection, 2^nd IAPR Asian Conference on Pattern Recognition (ACPR), Okinawa, Japan: 186-190, 2013. 
• Shan Zhou, Jun Li, Junliang Xing, Weiming Hu, Jinfeng Yang, Non-negative Sparse Coding Using Independent Multi-Codebooks for Near-Duplicate Image Detection, 4^th International Conference on Intelligent Science and Big Data Engineering (IScIDE), Beijing, China: 152-159, 2013.
• Ruiguang Hu, Weiming Hu, Jun Li, Saliency Driven Nonlinear Diffusion Filtering for Object Recognition, 2^th IAPR Asian Conference on Pattern Recognition (ACPR), Okinawa, Japan: 381-385, 2013.

 

Contact:

+86 13770610040

lijuncst@njnu.edu.cn