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.