魏莱，1980年生，博士，副教授，现为上海海事大学信息工程学院青年骨干教师。2004年7月毕业于同济大学应用数学系，获得理学学士学位。2009年3月毕业于同济大学计算机科学与技术系模式识别与智能系统专业，获得工学博士学位。2009年4月进入上海海事大学信息工程学院工作。2013年9月至2014年7月在复旦大学计算机科学学院访学。主要研究方向为模式识别，机器学习等。近年来，在《Information Sciences》、《Expert Systems with Applications》、《Knowledge-Based Systems》、《Neurocomputing》、《计算机学报》、《软件学报》、《计算机研究与发展》、《电子与信息学报》等国内外重要期刊上发表论文30余篇。主持国家自然科学基金和上海市教委科研创新项目各一项，以主要参与人参与国家自然科学基金项目、上海市自然科学基金、上海市教委曙光项目等。
办公地址： 上海海港大道1550号，上海海事大学信息工程学院212
办公电话： 021-38282825
电子邮箱： weilai AT shmtu DOT edu DOT cn
研究方向： 机器学习，数据挖掘，模式识别等
学术兼职：
中国计算机学会粒计算与知识发现专业委员会委员
国家自然科学基金通讯评审
学术论文：
期刊：
Xiaobo Xiao, Lai Wei (Corresponding Author), Robust Subspace Clustering via Latent Smooth Representation Clustering, Neural Processing Letters, DOI: doi.org/10.1007/s11063-020-10306-8.
Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin, Adaptive graph‑regularized fixed rank representation for subspace segmentation, Pattern Analysis and Applications, 2020, 23: 443-453.
Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Global and local multi-view multi-label learning, Neurocomputing, 2020, 371: 67-77.
Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding, Semi-supervised one-pass multi-view learning. Neural Computing and Applications, 2019, 31(11): 8117-8134.
Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang, Subspace segmentation via self-regularized latent K-means, Expert Systems with Applications, 2019, 163(1): 316-326.
Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu, Latent graph-regularized inductive robust principal component analysis, Knowledge-based systems, 2019, 177(1): 68-81.
Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafen Zhang, An improved structured low-rank representation for disjoint subspace segmentation, Neural Processing Letters, 2019, 50: 1035-1050.
Jun Yin, Zhihui Lai, Weiming Zeng, Lai Wei, Local sparsity preserving projection and its application to biometric recognition, Multimedia Tools and Applications, 2018,77(1):1069-1092.
Lai Wei, Xiaofeng Wang, Jun Yin, Auhua Wu, Self-regularized fixed-rank representation for subspace segmentation, Information Sciences, 2017, 412-412:194-209.
Lai Wei, Xiaofeng Wang, Jun Yin, Auhua Wu, Spectral clustering steered low-rank representation for subspace segmentation, Journal of Visual Communication and Image Representation, 2016, 38:386-395.
Jun Yin, Weiming Zeng, Lai Wei, Optimal feature extraction methods for classification methods and their applications to biometric recognition, Knowledge-Based Systems, 2016, 99:112-122.
Jun Yin, Lai Wei, Miao Song, Weiming Zeng, Optimized projection for collaborative representation based classification and its applications to face recognition, Pattern Recognition Letters, 2016, 73(1):83-90.
Lai Wei, Auhua Wu, Jun Yin. Latent space robust subspace segmentation based on low-rank and locality constraints, Expert Systems with Applications, 2015, 42(19):6598-6608.
Lai Wei, Feifei Xu, Jun Yin, Auhua Wu. Kernel locality-constrained collaborative representation based discriminant analysis, Knowledge-based Systems, 2014, 70:212-220.
Lai Wei, Feifei Xu, Auhua Wu. Weighted discriminative sparsity preserving embedding for face recognition, Knowledge-based Systems, 2014, 57(2):136-145.
Lai Wei, Feifei Xu. Feature extraction by integrated global and local discriminator, Journal of Computational Information Systems, 2014, 10 (7):2719-2726.
Lai Wei, Feifei Xu. Locality-constrained collaborative representation based discriminative projection, Journal of Computational Information Systems, 2014, 10 (9): 3305-3312.
Lai Wei, Feifei Xu. Local CCA alignment and its application, Neurocomputing, 2012, 89(15):78-88.
FeiFei Xu, DuoQian Miao, Lai Wei. Fuzzy-rough attribute reduction via mutual information with an application to cancer classification, Computer and Mathematics with Applications, 2009, 57(6):1010-1017.
Lai Wei, Hao Liu, Robust subspace segmentation via sparse relation representation，The 2nd Chinese Conference on Pattern Recognition and Computer Vision (PRCV’19)，2019.11.8-2019.11.11.
Lai Wei, Optimal subspace learning for sparse representation based classifier via discriminative principal subspaces alignment，The 9th International Conference on Rough Sets and Knowledge Technology (RSKT’14)，2014.10.25-2014.10.26.
Lai Wei, Feifei Xu, Adaptively weighted subpattern-based sparse preserving projection for face recognition, In: Proceeding of The 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’12), 29-31 May. 2012, 1394-1403.
Lai Wei, Feifei Xu, Improved KL (K-means-Laplacian) clustering with sparse graphs, In: Proceeding of The Second International Conference on Multimedia and Signal Processing (CMSP’12), Shanghai, China, December 7-9, 2012, 506-513.
Lai Wei, Weiming Zeng, Feifei Xu, Adaptively weighted subpattern-based isometric projection for face recognition, In: Proceeding of The Third International Conference on Artificial Intelligence and Computational Intelligence (AICI’11), Taiyuan, China, September 24-25, 2011, 554-561.
Lai Wei, Weiming Zeng, Hong Wang, K-means clustering with manifold, In: Proceeding of The Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’10), 10-12 Aug. 2010, Yantai, Shandong, 2095-2099.
Lai Wei, Path-based relative similarity spectral clustering, In: Proceeding of The Second Global Congress on Intelligent Systems (GCIS’10), 16-17 December 2010, Wuhan, China, 115-118.
Lai Wei, Duoqian Miao, Application of granular computing in knowledge reduction, In: Proceeding of The First International Conference on Rough Sets and Knowledge Technology (RSKT’06), Chongqing, China, July 24-26, 2006, (4062):357-362.
