張順利:北京交通大學軟件學院副教授-中文百科頻道

人物經曆

學習經曆

2011-2016年，獲清華大學，博士學位。

2008-2011年，獲山東大學，碩士學位。

2004-2008年，獲山東大學，學士學位。

工作經曆

2016年3月-至今：北京交通大學，軟件學院

2018年10月-2019年10月：美國卡内基梅隆大學（CMU），計算機學院，訪問學者。

主要成就

科研成就

科研項目

2020-2023,複雜天氣條件下的目标跟蹤和步态識别研究,國家自然科學基金面上項目，主持

2020-2022,基于注意力機制的目标跟蹤和步态識别研究，北京市自然科學基金面上項目，主持

2020-2021,半監督學習目标跟蹤研究，北京交通大學，主持

2019-2022,基于深度學習的智能交通視頻目标檢測識别和跟蹤方法,國家自然科學基金面上項目，參與

2019-2020,基于深度強化學習的路徑規劃與目标分配研究，北京交通大學，主持

2018-2019,智能試紙識别算法研究，北京交通大學，主持

2018-2019,基于深度強化學習的視覺目标跟蹤和行為識别研究,北京市自然科學基金-海澱原始創新聯合項目,主持

2017-2019,基于時空結構約束與特征學習的目标跟蹤研究,國家自然科學基金青年項目,主持

2016-2018,基于分層鑒别式模型的目标跟蹤研究,北京交通大學人才基金,主持

論文/期刊

Beibei Lin, Shunli Zhang*, Feng Bao. Gait Recognition with Multiple-Temporal-Scale 3D Convolutional Neural Network. Proceedings of the 28th ACM International Conference on Multimedia. 2020.

Shunli Zhang, Li Zhang, Alexander Hauptmann. Fuzzy Least Squares Support Vector Machine with Adaptive Membership for Object Tracking, IEEE Transactions on Multimedia, vol. 22, no. 8, pp. 1998-2011, Aug. 2020.

Shunli Zhang, Wei Lu, Weiwei Xing, Li Zhang. Learning scale-adaptive tight correlation filter for object tracking, IEEE Transactions on Cybernetics, vol. 50, no. 1, pp. 270-283, Jan. 2020.

Yupei Zheng, Xin Yu, Miaomiao Liu, Shunli Zhang*. Residual Multiscale Based Single Image Deraining. BMVC, 147, 2019.

Shunli Zhang, Wei Lu, Weiwei Xing, Li Zhang. Using fuzzy least squares support vector machine with metric learning for object tracking, Pattern Recognition, 2018, 84: 112-125.

Shunli Zhang, Yao Sui, Sicong Zhao, Li Zhang. Graph Regularized Structured Support Vector Machine for Object Tracking. IEEE Transactions on Circuit and System for Video Technology, vol.27, no.6, pp.1249-1262, June 2017.

Sicong Zhao, Shunli Zhang, and Li Zhang. Towards occlusion handling: object tracking with background estimation. IEEE Transactions on Cybernetics, 48.7 (2017): 2086-2100.

Lincheng Li, Shunli Zhang, Xin Yu, Li Zhang. PMSC: PatchMatch-Based Superpixel Cut for Accurate Stereo Matching. IEEE Transactions on Circuit and System for Video Technology. 28(3), 679-692, 2016.

Jun Yang, Shunli Zhang, Li Zhang. Object tracking with hierarchical multiview learning. Journal of Electronic Imaging, vol. 25, no.5, pp. 053006-053006. September 2016.

Juntao Sun, Shunli Zhang, and Li Zhang. Object tracking with spatial context model. IEEE signal processing letter. vol. 23, no. 5, May 2016.

Shunli Zhang, Sicong Zhao, Yao Sui, Li Zhang. Single object tracking with fuzzy least squares support vector machine, IEEE Transactions on Image Processing, vol.24, no.12, pp.5723-5738, December 2015.

Shunli Zhang, Xin Yu, Yao Sui, Sicong Zhao, Li Zhang. Object tracking with multi-view support vector machines, IEEE Transactions on Multimedia, vol.17, no.3, pp.265-278, March 2015.

Shunli Zhang, Yao Sui, Xin Yu, Sicong Zhao, Li Zhang. Hybrid support vector machines for robust object tracking, Pattern Recognition, vol.48, no.8, pp.2474-2488, August 2015.

Shunli Zhang, Yao Sui, Sicong Zhao, Xin Yu, Li Zhang. Multi-local-task learning with global regularization for object tracking, Pattern Recognition, vol.48, no.12, pp.3881-3894, December 2015.

Yao Sui, Shunli Zhang, Li Zhang. Robust visual tracking via sparsity-induced subspace learning, IEEE Transactions on Image Processing, vol.24, no.12, pp.4686-4700, December 2015.

Xin Yu, Shunli Zhang, Xiaolin Zhao, Li Zhang. Removing blur kernel noise via a hybrid lp norm. Journal of Electronic Imaging. vol.24, no.1, 013011, January/February, 2015.

Yao Sui, Xiaolin Zhao, Shunli Zhang, Xin Yu, Sicong Zhao, Li Zhang. Self-expressive tracking, Pattern Recognition, vol.48, no.9, pp.2872–2884, September 2015.

Xin Yu, Feng Xu, Shunli Zhang, Li Zhang. Efficient patch-wise non-uniform deblurring for a single image, IEEE Transactions on Multimedia, vol.16, no.6, pp.1510-1524, October 2014.

Li Zhang, Yubo Guo, Juntao Sun, Xin Yu, Shunli Zhang. Object tracking by feedback update scheme with sparsity constraint. Journal of Tsinghua University (Science and Technology), 11(005), 2013

Shunli Zhang, Min Han, Weifeng Sun, Mingqiang Yang. Iris feature extraction and recognition based on Empirical mode decomposition. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol.6, pp. 2633-2636.