Journal Papers:
1.Zhangjian Ji, Kai Feng, Yuhua Qian: Part-based visual tracking via structural support correlation filter. J. Vis. Commun. Image Represent. 64 (2019) (SCI, IF=2.16)[codes].
2. Zhangjian Ji, Weiqiang Wang: Correlation filter tracker based on sparse regularization. Journal of Visual Communication and Image Representation. Vol.55, Aug. 2018, Pages 354–362 (SCI, IF=2.16)[codes].
3. Zhangjian Ji, Weiqiang Wang: Object Tracking Based on the Local Dynamic Sparse Model. Journal of Visual Communication and Image Representation. Vol.28, April 2015, Pages 44–52 (SCI, IF=2.16).[codes]
4. Zhangjian Ji, Weiqiang Wang. Detect Foreground Objects via Adaptive Fusing Model in a Hybrid Feature Space. Pattern Recognition, 47(9): 2952-2961 (2014)
Conference Papers:
1. Xiwen Qu, Weiqiang Wang, Ke Lu, Zhangjian Ji:High-order directional features and sparse representation based classification for in-air handwritten Chinese character recognition. ICME 2016: 1-6
2. Zhangjian Ji, Weiqiang Wang: Robust object tracking via multi-task kernel dynamic sparse model. ICIP Sep. 27-30 2015, Quebec, CA.
3. Zhangjian Ji, Weiqiang Wang. ROBUST OBJECT TRACKING VIA MULTI-TASK DYNAMIC SPARSE MODEL. ICIP Oct 27-30, 2014, Paris, France
4. Zhangjian Ji, Weiqiang Wang, Ning Xu. Robust Object Tracking via Incremental Subspace Dynamic Sparse Model. ICME, July 14-18, 2014,Chengdu, China
5. Zhangjian Ji, Weiqiang Wang, Ke Lu”Extract Foreground Objects Based on Sparse Model of Spatiotemporal Spectrum”, IEEE International conference on Image Processing, Sept. 15-18, 2013, Melbourne, Australia.[pdf]
6. Zhangjian Ji, Weiqiang Wang, Ke Lu "Foreground Detection Utilizing Structured Sparse Model via $l_{1,2}$ mixed norms", IEEE International Conference on Systems, Man, and Cybernetics, Oct. 13-16, 2013, Machester,UK[pdf]