个人简介发表论文承担项目荣誉奖励课程教学团队成员
概述
哈尔滨工业大学博士、教授、博士生导师。美国布朗大学博士后、香港浸会大学博士后、美国加州大学伯克利分校访问学者。入选 2013年度 “香江学者人才” 计划、2013年度哈尔滨工业大学 “青年拨尖人才” 计划（副教授）、2016年度哈尔滨工业大学 “青年拨尖人才” 计划（教授）、2018年度山东省 “泰山学者” 人才计划。担任 ACM MM 2018 TPC 和 ACM TOMM 客座执行主编、 Signal, Image Video Processing 副主编、客座执行主编，Journal of Electronic Imaging 副主编，IET Computer Vision 客座执行主编。研究兴趣包括计算机视觉和机器学习。主持国家自然科学基金（3 项）、山东省重点研发计划、教育部博士点基金、博士后面上基金等项目。获2015年度黑龙江省自然科学二等奖、2015年度黑龙江省高校科学技术一等奖、2016年军队科学技术进步二等奖。已发表学术论文70多篇，包括国际顶级期刊PNAS、JMLR、IEEE T-PAMI、 IEEE T-NNLS、IEEE T-IP、IEEE T-KDE 和顶级会议 IJCAI、AAAI、CVPR 和 ECCV 等。 7篇论文入选ESI高被引论文，包括1篇ESI热点论文。Google学术引用 1929 次。申请或授权发明专利12项，包括1项美国专利。

工作经历
2016年12月31日–现在 哈尔滨工业大学（威海），计算机科学与技术学院，教授

2013年12月31日 – 2016年12月30日 哈尔滨工业大学（威海），计算机科学与技术学院，副教授

2013年02月23日 – 2013年12月30日 哈尔滨工业大学（威海），计算机科学与技术学院，讲师

2014年02月10日 – 2015年11月07日 香港浸会大学，计算机系，博士后研究员，导师: Pong C Yuen

2013年02月01日 – 2014年01月31日 布朗大学，Department of Cognitive Linguistic & Psychological Sciences，博士后研究员， 导师: Thomas Serre

2011年09月01日 – 2012年06月14日 加州大学伯克利分校，Redwood Center for Theoretical Neuroscience，访问学生研究员，导师: Bruno Olshausen

2019
Yuankai Qi, Shengping Zhang^*, Lei Qin, Hongxun Yao, Qingming Huang^*, Jongwoo Lim and Ming-Hsuan Yang, Hedging Deep Features for Visual Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 41(5):1116-1130, 2019. 共同通讯作者. 影响因子9.455. CCF A类

Zheheng Jiang, Danny Crookes, Brian D. Green, Yunfeng Zhao, Haiping Ma, Ling Li, Shengping Zhang, Dacheng Tao, Huiyu Zhou, Context-aware Mouse Behaviour Recognition using Hidden Markov Models, IEEE Transactions on Image Processing (IEEE T-IP), 28(3):1133-1148, 2019. 影响因子5.072. CCF A类

Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang Ming-Hsuan Yang, Learning Attribute-Specific Representations for Visual Tracking, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), accepted. CCF A类


2018
Lei Zhang, Shengping Zhang^*, Feng Jiang^*, Yuankai Qi, Jun Zhang, Yuliang Guo and Huiyu Zhou, BoMW: Bag of Manifold Words for One-shot Learning Gesture Recognition from Kinect, IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), 28(10):2562-2573, 2018. 影响因子3.558.

Wenxue Cui, Feng Jiang, Xinwei Gao, Shengping Zhang, Debin Zhao, An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images, ACM International Conference on Multimedia (ACM MM), 1777-1785, 2018. CCF A类

Xiangyuan Lan, Shengping Zhang, Pong C. Yuen and Rama Chellappa, Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-based Tracker, IEEE Transactions on Image Processing (IEEE T-IP), 27(4):2022–2037, 2018. 影响因子5.072. CCF A类

Yuankai Qi, Lei Qin, Jian Zhang, Shengping Zhang, Qingming Huang, Ming-Hsuan Yang, Structure-Aware Local Sparse Coding for Visual Tracking, IEEE Transactions on Image Processing (IEEE T-IP), 27(8): 3857-3869, 2018. 影响因子5.072. CCF A类

Shengping Zhang, Yuankai Qi, Feng Jiang, Xiangyuan Lan, Pong C. Yuen and Huiyu Zhou, Point-to-Set Distance Metric Learning on Deep Representations for Visual Tracking, IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS),19(1): 187-198, 2018. 影响因子4.051

Xiangyuan Lan, Mang Ye, Shengping Zhang and Pong C. Yuen, Robust Collaborative Discriminative Learning for RGB-Infrared Tracking, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 7008-7015, 2018. CCF A类

Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao, An Efficient Deep Convolutional Laplacian Pyramid Architecture for CS Reconstruction at Low Sampling Ratios, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), 1748-1752, 2018

Wenxue Cui, Shengping Zhang, Yashu Liu, Heyao Xu, Xinwei Gao, Feng Jiang, Debin Zhao, Shaohui Liu, Classification Guided Deep Convolutional Network for Compressed Sensing, International Conference on Pattern Recognition (ICPR 2018)

Heyan Zhu, Qinglin Liu, Yuankai Qi, Xinyuan Huang, Feng Jiang, Shengping Zhang, Plant identification based on very deep convolutional neural networks. Multimedia Tools Appl. 77(22): 29779-29797, 2018


2017
Shengping Zhang^*, Xiangyuan Lan, Hongxun Yao, Huiyu Zhou, Dacheng Tao and Xuelong Li, A Biologically Inspired Appearance Model for Robust Visual Tracking, IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), 28(10):2357-2370, 2017. 影响因子7.982

Dong Li, Shengping Zhang^*, Xin Sun, Huiyu Zhou, Sheng Li and Xuelong Li, Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE T-KDE), 29(9): 1985-1997, 2017. 影响因子2.775. CCF A类

Shengping Zhang^*, Xiangyuan Lan, Yuankai Qi and Pong C. Yuen, Robust Visual Tracking via Basis Matching, IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT),27(3): 421-430, 2017. 影响因子3.558

Wenlong Xie, Hongxun Yao, Xiaoshuai Sun, Sicheng Zhao, Wei Yu and Shengping Zhang: Actor identification via mining representative actions. Neurocomputing 244: 1-9 (2017)

Dong Li, Cuihua Wang, Shengping Zhang, Guanglu Zhou, Dianhui Chu and Chong Wu: Positive influence maximization in signed social networks based on simulated annealing, Neurocomputing 260: 69-78 (2017)

Heyan Zhu, Xinyuan Huang, Shengping Zhang and Pong C. Yuen, Plant identification via multipath sparse coding, Multimedia Tools and Applications, 76(3): 4599-4615, 2017

Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, Wangmeng Zuo, Zhaolin Wan and Debin Zhao, Convolutional Neural Networks Based Intra Prediction for HEVC, Data Compression Conference (DCC), 2017

Wen Tao, Feng Jiang, Shengping Zhang, Jie Ren, Wuzhen Shi, Wangmeng Zuo, Xun Guo and Debin Zhao, An End-to-End Compression Framework Based on Convolutional Neural Networks, Data Compression Conference (DCC), 2017

WuzhenShi, Feng Jiang, Shengping Zhang and Debin Zhao, Deep networks for compressed image sensing, IEEE International Conference on Multimedia and Expo, 2017


2016
Peter Wilf^*, Shengping Zhang^*, Sharat Chikkerur, Stefan A. Little, Scott L. Wing and Thomas Serre^*, Computer Vision Cracks the Leaf Code, Proceedings of the National Academy of Sciences of the United States of America (PNAS), 113(12): 3305-3310, 2016. 共同通讯作者. 影响因子9.504

Jun Zhang, Meng Wang, Shengping Zhang, Xuelong Li and Xindong Wu, Spatiochromatic Context Modeling for Color Saliency Analysis, IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), 27(6): 1177-1189 (2016). 影响因子7.982

Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim and Ming-Hsuan Yang, Hedged Deep Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016: 4303-4311. CCF A类

Siqi Liu, Pong C. Yuen, Shengping Zhang and Guoying Zhao, 3D Mask Face Anti-spoofing with Remote Photoplethysmography, European Conference on Computer Vision(ECCV) (7) 2016: 85-100. CCF A类

Xiangyuan Lan, Shengping Zhang and Pong C. Yuen, Robust Joint Discriminative Feature Learning for Visual Tracking, Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI) 2016: 3403-3410. CCF A类

Baochang Zhang, Suli Ji, Li Li,Shengping Zhang and Wankou Yang, Sparsity analysis versus sparse representation classifier.Neurocomputing, 171: 387-393 (2016)

Matej Kristan et al., The Visual Object Tracking VOT2016 Challenge Results, ECCV Workshops (2) 2016: 777-823


2015
Feng Jiang, Shengping Zhang, Shen Wu, Yang Gao and Debin Zhao, Multi-layered gesture recognition with Kinect, Journal of Machine Learning Research (JMLR), 16: 227-254, 2015. 影响因子2.281. CCF A类

Shengping Zhang, Huiyu Zhou, Hongxun Yao, Yanhao Zhang, Kuanquan Wang and Jun Zhang, Adaptive NormalHedge for robust visual tracking, Signal Processing 110: 132-142 (2015)

Shengping Zhang, Huiyu Zhou, Feng Jiang and Xuelong Li, Robust Visual Tracking Using Structurally Random Projection and Weighted Least Squares, IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), 25(11): 1749-1760, 2015. 影响因子3.558

Xin Sun, Hongxun Yao, Shengping Zhang and Dong Li, Non-Rigid Object Contour Tracking via a Novel Supervised Level Set Model, IEEE Transactions on Image Processing (IEEE T-IP), 24(11): 3386-3399, 2015. 影响因子5.072. CCF A类

Shengping Zhang, Shiva Kasiviswanathan, Pong C. Yuen and Mehrtash Harandi, Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications, Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI),3165-3173, 2015. CCF A类

Xiusheng Lu,Shengping Zhang, Hongxun Yao, Xin Sun and Yanhao Zhang, Histograms of locally aggregated oriented gradients. ICIP 2015: 1270-1274

Yanhao Zhang, Lei Qin,Shengping Zhang, Hongxun Yao and Qingming Huang, Formation Period Matters: Towards Socially Consistent Group Detection via Dense Subgraph Seeking. ICMR 2015: 475-478


2014以前
Shengping Zhang, Hongxun Yao, Xin Sun, Kuanquan Wang, Jun Zhang, Xiusheng Lu and Yanhao Zhang, Action recognition based on overcomplete independent components analysis, Information Sciences, 281: 635-647 (2014)

Lin Zeng, Shengping Zhang, Jun Zhang and Yunlu Zhang, Dynamic image mosaic via SIFT and dynamic programming, Machine Vision and Applications, 25(5): 1271-1282 (2014)

Lin Zeng, Weigang Zhang, Shengping Zhang and Dingwen Wang, Video image mosaic implement based on planar-mirror-based catadioptric system, Signal, Image and Video Processing 8(6): 1007-1014 (2014)

Feng Jiang,Shengping Zhang, Debin Zhao and Sun-Yuan Kung, Image Restoration via Multi-prior Collaboration. ACCV (3) 2014: 191-204

Yanhao Zhang,Shengping Zhang, Qingming Huang and Thomas Serre, Learning Sparse Prototypes for Crowd Perception via Ensemble Coding Mechanisms. HBU 2014: 86-100

Shengping Zhang, Hongxun Yao, Huiyu Zhou, Xin Sun, Shaohui Liu, Robust visual tracking based on online learning sparse representation, Neurocomputing 100: 31-40 (2013)

Shengping Zhang, Hongxun Yao, Xin Sun, Xiusheng Lu, Sparse coding based visual tracking: Review and experimental comparison, Pattern Recognition 46(7): 1772-1788 (2013)

Xuesong Jiang, Hongxun Yao,Shengping Zhang, Xiusheng Lu, Wei Zeng: Night video enhancement using improved dark channel prior.ICIP 2013: 553-557

Xin Sun, Hongxun Yao,Shengping Zhang, Mingui Sun: Non-rigid object tracking by adaptive data-driven kernel. ICIP 2013: 2958-2962

Xun Tang,Shengping Zhang, Hongxun Yao: Sparse coding based motion attention for abnormal event detection. ICIP 2013: 3602-3606

Shengping Zhang, Hongxun Yao, Xin Sun, Shaohui Liu, Robust Visual Tracking Using an Effective Appearance Model Based on Sparse Coding, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 3(3): 43:1-43:18 (2012)

Xin Sun, Hongxun Yao, Shengping Zhang, A novel supervised level set method for non-rigid object tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011: 3393-3400

Zhongqian Sun, Hongxun Yao,Shengping Zhang, Xin Sun: Robust visual tracking via context objects computing. ICIP 2011: 509-512

Xin Sun, Hongxun Yao,Shengping Zhang: Contour tracking via on-line discriminative appearance modeling based level sets. ICIP 2011: 2317-2320

Baochang Zhang,Shengping Zhang, Jianzhuang Liu: Sparse regression analysis for object recognition. ICIP 2011: 2381-2384

Shengping Zhang, Hongxun Yao, Shaohui Liu, Robust visual tracking using feature-based visual attention, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2010: 1150-1153

Shengping Zhang, Hongxun Yao, Shaohui Liu, Dynamic Background Subtraction Based on Local Dependency Histogram, International Journal of Pattern Recognition and Artificial Intelligence , 23(7): 1397-1419 (2009)

Shengping Zhang, Hongxun Yao, Shaohui Liu, Spatial-temporal nonparametric background subtraction in dynamic scenes, IEEE International Conference on Multimedia and Expo, 2009: 518-521

Shengping Zhang, Hongxun Yao, Shaohui Liu, Dynamic background modeling and subtraction using spatio-temporal local binary patterns, International Conference on Image Processing, 2008: 1556-1559

Shengping Zhang, Hongxun Yao, Shaohui Liu, Xilin Chen, Wen Gao, A covariance-based method for dynamic background subtraction, International Conference on Pattern Recognition, 2008: 1-4


在研
面向鲁棒目标跟踪的CNN特征联合表示与融合方法研究，国家自然科学基金面上项目，201901-2022.12

视觉计算理论与应用，山东省泰山学者青年专家人才计划，2019-1-2023.12

面向海洋监视的运动目标跟踪方法研究、哈工大青年拔尖人才计划（教授）、201701-202012


已完成
面向鲁棒目标跟踪的多线索特征联合表示和判别学习方法研究，国家自然科学基金面上项目、201701-201712

基于运动上下文学习的老鼠社会行为检测与识别研究、国家自然科学基金青年基金、201401-201612

基于运动上下文的老鼠社会行为检测与识 别研究、高等学校博士学科点专项科研基金、201401-201612

多摄像机协同的智能视频监控关键技术研 究、山东省重点研发计划、201601-201712

基于在线鲁棒稀疏编码的实时目标跟踪方法研究、中国博士后科学基金项目项目、201405-201511

智能视频监控技术 、香江学者人才计划、201401-201512

基于层次稀疏编码的老鼠群体行为识别研究、哈工大青年拔尖人才计划（副教授）、201401-201612


教师
张盛平，教授

孙鑫，副教授

齐元凯，讲师

博士生
柳青林，博士生

吕晓倩，博士生

孟权令，博士生

硕士生
孙嘉敏，硕士生

和瑞丽，硕士生

王 野，硕士生

毕业生
刘鑫丽，2018届，顺丰

奖励
面向军队卫勤保障的多元牵引医疗康复系列机器人关键技术及应用研究，军队科学技术进步二等奖 2016

视觉底层特性与高层语义对应性研究，黑龙江省自然科学二等奖，2015

视觉底层特性与高层语义对应性研究，黑龙江省高校科学技术一等奖，2015

计算机技术工程硕士教育质量评价与质量保障体系的研究与实践 山东省第八届高等教育教学成果一等奖，2018

荣誉
香江学者，2013

哈尔滨工业大学青年拔尖人才（副教授），2013

哈尔滨工业大学青年拔尖人才（副教授），2016

山东省泰山学者青年专家，2018

研究生课
计算机视觉

专业英语

本科生课
模式识别

机器学习