Zenglin Xu

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Irwin KingThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Zhao Kang（康昭）Associate Professor, University of Electronic Science and Technology of China (电子科技大学)Verified email at uestc.edu.cn
Shudong Huang (黄树东)Sichuan UniversityVerified email at scu.edu.cn
Rong JinAlibaba GroupVerified email at cse.msu.edu
Yazhou RenAssociate Professor of Computer Science, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Shandian ZheSchool of Computing, University of UtahVerified email at cs.utah.edu
Jinmian YeUniversity of Electronic Science and Technology of ChinaVerified email at std.uestc.edu.cn
Haiqin YANGPing An Life Insurance Co of China Ltd. & The Chinese University of Hong KongVerified email at ieee.org
Kaizhu HuangProfessor of Intelligent Science, Xi'an Jiaotong Liverpool UniversityVerified email at xjtlu.edu.cn
Jianke ZhuProfessor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
Linnan WangNVIDIAVerified email at brown.edu
Haoli BaiThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Lirong HePh.D.Student, University of Electronic Science and Technology of ChinaVerified email at std.uestc.edu.cn
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUVerified email at smu.edu.sg
Feng YanFacebookVerified email at fb.com
Lili PanAssociate Professor of University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Wei WuLos Alamos National LaboratoryVerified email at lanl.gov
Bin LiuCenter of Statistic Research, School of Statistics, Southwestern University of Finance & EconomicsVerified email at swufe.edu.cn
Guangxi LiPhD, University of Technology Sydney (UTS)Verified email at student.uts.edu.au

Zenglin Xu

Harbin Institute of Technology, Shenzhen

Verified email at hit.edu.cn - Homepage

machine learning artificial intelligence knowledge graph health informatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Discriminative semi-supervised feature selection via manifold regularization Z Xu, I King, MRT Lyu, R Jin IEEE Transactions on Neural networks 21 (7), 1033-1047, 2010	350	2010
Simple and efficient multiple kernel learning by group lasso Z Xu, R Jin, H Yang, I King, MR Lyu ICML, 2010	295	2010
An extended level method for efficient multiple kernel learning Z Xu, R Jin, I King, M Lyu Advances in neural information processing systems, 1825-1832, 2009	200	2009
Robust graph learning from noisy data Z Kang, H Pan, SCH Hoi, Z Xu IEEE transactions on cybernetics 50 (5), 1833-1843, 2020	129	2020
Bayesian network technologies: applications and graphical models A Mittal IGI Global, 2007	125	2007
Infinite Tucker decomposition: Nonparametric Bayesian models for multiway data analysis Z Xu, F Yan, Y Qi Proceedings of the 29th International Conference on Machine Learning(ICML-12 …, 2012	123	2012
Superneurons: Dynamic GPU memory management for training deep neural networks L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska Proceedings of the 23rd ACM SIGPLAN symposium on principles and practice of …, 2018	118	2018
Online learning for group lasso H Yang, Z Xu, I King, MR Lyu ICML, 2010	109	2010
Efficient sparse generalized multiple kernel learning H Yang, Z Xu, J Ye, I King, MR Lyu IEEE Transactions on neural networks 22 (3), 433-446, 2011	93	2011
Low-rank kernel learning for graph-based clustering Z Kang, L Wen, W Chen, Z Xu Knowledge-Based Systems 163, 510-517, 2019	92	2019
Bayesian nonparametric models for multiway data analysis Z Xu, F Yan, Y Qi Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 475-487, 2015	83	2015
Non-monotonic feature selection Z Xu, R Jin, J Ye, MR Lyu, I King Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	71	2009
Semi-supervised deep embedded clustering Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu Neurocomputing 325, 121-130, 2019	70	2019
Auto-weighted multi-view clustering via kernelized graph learning S Huang, Z Kang, IW Tsang, Z Xu Pattern Recognition 88, 174-184, 2019	68	2019
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition J Ye, L Wang, G Li, D Chen, S Zhe, X Chu, Z Xu The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018	66	2018
Efficient Convex Relaxation for Transductive Support Vector Machine. Z Xu, R Jin, J Zhu, I King, MR Lyu NIPS, 1641-1648, 2007	65	2007
BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing L Wang, W Wu, Z Xu, J Xiao, Y Yang ICS '16: Proceedings of the 2016 International Conference on Supercomputing, 2016	58	2016
Partition level multiview subspace clustering Z Kang, X Zhao, C Peng, H Zhu, JT Zhou, X Peng, W Chen, Z Xu Neural Networks 122, 279-288, 2020	57	2020
Unified spectral clustering with optimal graph Z Kang, C Peng, Q Cheng, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	57	2018
Feature selection with particle swarms Y Liu, Z Qin, Z Xu, X He International Conference on Computational and Information Science, 425-430, 2004	55	2004

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