Zenglin Xu

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i10 指数	160	139

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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
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
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
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
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STAR在 cfar.a-star.edu.sg 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
Shandian ZheSchool of Computing, University of Utah在 cs.utah.edu 的电子邮件经过验证
Qifan WangResearch Scientist, Meta AI在 fb.com 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
Liangjian WenSouthwestern University of Finance and Economics Chengdu, China在 swufe.edu.cn 的电子邮件经过验证
Dun ZengUniversity of Electronic Science and Technology of China在 std.uestc.edu.cn 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
Haiqin YangInternational Digital Economy Academy (IDEA)在 ieee.org 的电子邮件经过验证
Jing Xu在 stu.hit.edu.cn 的电子邮件经过验证
Cuiyun GAOHarbin Institute of Technology (Shenzhen)在 hit.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
Yong DaiTencent AI Lab在 tencent.com 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

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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 Large Language Models Time Series Analysis


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
A survey on deep semi-supervised learning X Yang, Z Song, I King, Z Xu IEEE Transactions on Knowledge and Data Engineering 35 (9), 8934-8954, 2023	601	2023
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	443	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	366*	2016
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	361	2020
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	341	2010
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	289	2018
Robust graph learning from noisy data Z Kang, H Pan, SCH Hoi, Z Xu IEEE transactions on cybernetics 50 (5), 1833-1843, 2020	288	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	263	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	236	2020
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	213	2008
Auto-weighted multi-view clustering via kernelized graph learning S Huang, Z Kang, IW Tsang, Z Xu Pattern Recognition 88, 174-184, 2019	212	2019
Graph-based semi-supervised learning: A comprehensive review Z Song, X Yang, Z Xu, I King IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8174-8194, 2022	209	2022
Semi-supervised deep embedded clustering Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu Neurocomputing 325, 121-130, 2019	185	2019
Auto-weighted multi-view clustering via deep matrix decomposition S Huang, Z Kang, Z Xu Pattern Recognition 97, 107015, 2020	175	2020
Low-rank kernel learning for graph-based clustering Z Kang, L Wen, W Chen, Z Xu Knowledge-Based Systems 163, 510-517, 2019	171	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	157	2018
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	157	2012
Deep embedded multi-view clustering with collaborative training J Xu, Y Ren, G Li, L Pan, C Zhu, Z Xu Information Sciences 573, 279-290, 2021	145	2021
Bayesian network technologies: applications and graphical models: applications and graphical models A Mittal, A Kassim IGI global, 2007	144	2007
Structured graph learning for clustering and semi-supervised classification Z Kang, C Peng, Q Cheng, X Liu, X Peng, Z Xu, L Tian Pattern Recognition 110, 107627, 2021	124	2021

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