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个人简介

Zhihui Lai received the B.S degree inmathematics from South China NormalUniversity, M.S degree from Jinan University,and the PhD degree in pattern recognition and intelligence system from Nanjing Universityof Science and Technology (NUST), China, in 2002, 2007 and 2011,respectively. He was a postdoctoral fellow at Bio-Computing ResearchCenter, Shenzhen Graduate School, Harbin Institute of Technology, China. He has also been a research associate, postdoctoral fellow and research fellow since 2010 at The Hong Kong Polytechnic University. He has published 100+ academic papers, including 30+ papers published on IEEE Transactions.His research interests include face recognition, image processing and content-basedimage retrieval, pattern recognition, compressive sense, big data analysis and hash learning, deep learning, human visionmodelization and applications in the fields of intelligent robot research. Education 09/2007-07/2011: Ph.D. in Pattern Recognition and Intelligent System (Image Processing and Pattern Recognition ) School of Computer Science and Technology, Nanjing University of Science and Technology (NUST), Nanjing, China 09/2005-06/ 2007 : M.S. in Mathematics Department of Mathematics, Jinan University, Guangzhou, China 09/1998-07/2002: B.S. in Mathematics Department of Mathematics, South China Normal University, Guangzhou, China Work Experience Research Rssistant/ Postdoctoral Fellow/Research Fellow at The Hong Kong Polytechnic University Honor 08/2018: The Second prize of Jianxi Province Natural Science Award 07/2018: The best student paper of AIFT 2018 10/2016: The best poster paper of CCBR 2016 09/2014: The Overseas High-Caliber Personneal 04/2012: The excellent doctoral thesis at NUST 11/2010: The excellent student award at NUST 10/2008: The best paper award in Chinese Conference on Pattern Recognition in 2008. 05/2007: The excellent postgraduate student award at JNU Academic Activities I serve as an Associate Editor of International Journal of Machine Learning and Cybernetics (SCI index, the 2018 Impact Factor for JMLC is 3.273, a journal on Springer). And I also serve as a reviewer for the following well-known journals and some top tier international conferences: IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Image Processing IEEE Transactions on Cybernetics IEEE Transactions on Circuits and Systems for Video Technology Pattern Recognition Neural Computing and Applications Information Sciences Neurocomputing Machine Vision and Applications Applied Mathematics and Computation Neural Processing Letters Teaching Courses: Digital image processing,Fundamentals of computers, Multimedia, Patten Recognition, Artificial Intelligence

研究领域

图像处理 , 模式识别与智能系统 (Image Processing, Pattern Recognition and Intelligent System), 大数据分析,深度学习,哈希学习

项目 [1] The Natural Science Foundation of China, 61573248,2016-2019. . Robust linear discrinant analysis theory and its consistent sparsity extension. 2015.10. [2] The Natural Science Foundation of China , 61203376, 2013-1215.. Research on sparse projection learning theory and algorithm in feature extraction and understanding. 2012.10

近期论文

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[1] Zhihui Lai, Yudong Chen, Jian Wu, Wai Keung Wong, Fumin Shen. Jointly Sparse Hashing for Image Retrieval . IEEE Transactions on Image Processing, Year: 2018 , Volume: 27 , Issue: 12 Pages: 6147 - 6158 [2] Zhihui Lai, Dongmei Mo, Jiajun Wen, Linlin Shen, Wai Keung Wong*. Generalized robust regression for jointly sparse subspace learning. IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2018.2812802 [3] Zhihui Lai, Dongmei Mo, Wai Keung Wong*, Yong Xu, Duoqian Miao, David Zhang. Robust discriminant regression for feature extraction. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2017.2740949 [4] W. K. Wong, Zhihui Lai (corresponding author), Jiajun Wen, Xiaozhao Fang, Yuwu Lu, . Low rank embedding for robust feature extraction. IEEE Transactions on Image Processing [5] Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang. Rotational invariant dimensionality reduction algorithms. IEEE Transactions on Cybernetics (Accepted) [6] Zhengming Li, Zhihui Lai (co-first), Yong Xu, Jian Yang, David Zhang. A Locality Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2015.2508025. [7] Jiajun Wen, Zhihui Lai (Corresponding author), Yinwei Zhanc, Jinrong Cui . The L2,1-norm-based unsupervised optimal feature selection with applications to action recognition . Pattern Recognition, 2016, 60:515–530. [8] Zhihui Lai, Waikeung Wong, Yong Xu, Jian Yang, Jinhui Tang and David Zhang. Approximate orthogonal sparse embedding for dimensionality reduction. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(4): 723-735. [9] Qing Liu, Zhihui Lai (co-first), Zongwei Zhou, Fangjun Kuang, Zhong Jin. A Truncated Nuclear Norm Regularization Method based on Weighted Residual Error for Matrix Completion. IEEE Transactions on Image Processing, 2016, 25(1): 316-330. [10] W. K. Wong, Zhihui Lai (corresponding author), Yong Xu, Jiajun Wen. Joint tensor feature analysis for visual object recognition. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2014.2374452. [11] Yuwu Lu, Zhihui Lai (co-first author),Yong Xu. Low rank preserving projections. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2015.2457611 [12] Zhihui Lai, W. K. Wong, Yong Xu, Mingming Sun and Cairong Zhao. Sparse Alignment for Robust Tensor Learning. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(10): 1779-1792. [13] Zhihui Lai, Yong Xu, Zhong Jin, and David Zhang. Human gait recognition via sparse discriminant projection learning. IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(10): 1651-1662. [14] Xiaoshuang Shi, Zhenhua Guo, Zhihui Lai (corresponding author). Face Recognition by Sparse Discriminant Analysis via Joint L2,1-norm Minimization. Pattern Recognition, 2014, 47(7):2447-2453. [15] Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang and David Zhang. Multilinear Sparse Principal Component Analysis. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(10): 1942-1950. [16] Zhihui Lai, Yong Xu, Jian Yang, and David Zhang. Sparse tensor discriminant analysis. IEEE Transactions on Image Processing, 2013, 22(10): 3904-3915. [17] Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, and Yong Xu,. Sparse approximation to the eigensubspace for discrimination. IEEE Transactions on Neural Networks and Learning Systems, 2012, 23(12):1948-1960. [18] Zhihui. Lai, Zhong Jin, Jian Yang. Sparse two dimensional local discriminant projections for feature extraction. Neurocomputing, vol. 74, no. 4, pp. 629-637, Jan. 2011.

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