Zenglin Xu

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	总计	2018 年至今
引用	7363	5836
h 指数	47	41
i10 指数	117	99

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Irwin KingThe Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
Zhao Kang（康昭）Associate Professor, University of Electronic Science and Technology of China (电子科技大学)在 uestc.edu.cn 的电子邮件经过验证
Shudong Huang (黄树东)Sichuan University在 scu.edu.cn 的电子邮件经过验证
Yazhou Ren (任亚洲)Associate Professor of Computer Science, University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
Rong JinAlibaba Group在 cse.msu.edu 的电子邮件经过验证
Shandian ZheSchool of Computing, University of Utah在 cs.utah.edu 的电子邮件经过验证
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STAR在 ihpc.a-star.edu.sg 的电子邮件经过验证
Jinmian YeUniversity of Electronic Science and Technology of China在 std.uestc.edu.cn 的电子邮件经过验证
Haiqin YangInternational Digital Economy Academy (IDEA)在 ieee.org 的电子邮件经过验证
Lili PanAssociate Professor, University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
Liangjian WenUESTC在 std.uestc.edu.cn 的电子邮件经过验证
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMU在 smu.edu.sg 的电子邮件经过验证
Haoli BaiNoah's Ark Lab, Huawei在 huawei.com 的电子邮件经过验证
Kaizhu HuangProfessor of ECE, Duke Kunshan University在 dukekunshan.edu.cn 的电子邮件经过验证
Lirong HePh.D.Student, University of Electronic Science and Technology of China在 std.uestc.edu.cn 的电子邮件经过验证
Yu Pan (潘宇)Harbin Institute of Technology, Shenzhen在 stu.hit.edu.cn 的电子邮件经过验证
Jing XuHarbin Institute of Technology, Shenzhen在 stu.hit.edu.cn 的电子邮件经过验证
Jianke ZhuProfessor of Computer Science, Zhejiang University在 zju.edu.cn 的电子邮件经过验证
Linnan WangBrown University在 brown.edu 的电子邮件经过验证

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Zenglin Xu

Harbin Institute of Technology, Shenzhen & Peng Cheng Lab

在 hit.edu.cn 的电子邮件经过验证 - 首页

Machine Learning Trustworthy AI Federated Learning Few-shot Learning Natural Language Processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	402	2010
Simple and efficient multiple kernel learning by group lasso Z Xu, R Jin, H Yang, I King, MR Lyu Proceedings of the 27th international conference on machine learning (ICML …, 2010	332	2010
知识图谱技术综述徐增林，盛泳潘，贺丽荣，王雅芳电子科技大学学报 45 (4), 589-606, 2016	263*	2016
Robust graph learning from noisy data Z Kang, H Pan, SCH Hoi, Z Xu IEEE transactions on cybernetics 50 (5), 1833-1843, 2020	242	2020
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	217	2018
An extended level method for efficient multiple kernel learning Z Xu, R Jin, I King, M Lyu Advances in neural information processing systems 21, 2008	204	2008
A survey on deep semi-supervised learning X Yang, Z Song, I King, Z Xu IEEE Transactions on Knowledge and Data Engineering 11, 1-20, 2022	180*	2022
Large-scale multi-view subspace clustering in linear time Z Kang, W Zhou, Z Zhao, J Shao, M Han, Z Xu Proceedings of the AAAI conference on artificial intelligence 34 (04), 4412-4419, 2020	172	2020
Multi-graph fusion for multi-view spectral clustering Z Kang, G Shi, S Huang, W Chen, X Pu, JT Zhou, Z Xu Knowledge-Based Systems 189, 105102, 2020	163	2020
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	159	2020
Auto-weighted multi-view clustering via kernelized graph learning S Huang, Z Kang, IW Tsang, Z Xu Pattern Recognition 88, 174-184, 2019	156	2019
Semi-supervised deep embedded clustering Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu Neurocomputing 325, 121-130, 2019	146	2019
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	141	2012
Low-rank kernel learning for graph-based clustering Z Kang, L Wen, W Chen, Z Xu Knowledge-Based Systems 163, 510-517, 2019	140	2019
Bayesian network technologies: applications and graphical models: applications and graphical models A Mittal, A Kassim IGI global, 2007	138	2007
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	125	2018
Auto-weighted multi-view clustering via deep matrix decomposition S Huang, Z Kang, Z Xu Pattern Recognition 97, 107015, 2020	119	2020
Online learning for group lasso H Yang, Z Xu, I King, MR Lyu Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010	117	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	98	2011
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	88	2015

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