Zenglin Xu

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	すべて	2020 年以来
引用	12687	10204
h 指標	58	51
i10 指標	179	153

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122 件の論文

46 件の論文

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Irwin KingThe Chinese University of Hong Kong確認したメールアドレス: cse.cuhk.edu.hk
Zhao Kang（康昭）Associate Professor, University of Electronic Science and Technology of China (电子科技大学)確認したメールアドレス: uestc.edu.cn
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kong確認したメールアドレス: cse.cuhk.edu.hk
Shudong Huang (黄树东)Sichuan University確認したメールアドレス: scu.edu.cn
Yazhou Ren (任亚洲)Associate Professor of Computer Science, University of Electronic Science and Technology of China確認したメールアドレス: uestc.edu.cn
Qifan WangResearch Scientist, Meta AI確認したメールアドレス: fb.com
Rong JinAlibaba Group確認したメールアドレス: cse.msu.edu
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STAR確認したメールアドレス: cfar.a-star.edu.sg
Lirong HePh.D.Student, University of Electronic Science and Technology of China確認したメールアドレス: std.uestc.edu.cn
Dun ZengUniversity of Electronic Science and Technology of China確認したメールアドレス: std.uestc.edu.cn
Shandian ZheSchool of Computing, University of Utah確認したメールアドレス: cs.utah.edu
Jinmian YeUniversity of Electronic Science and Technology of China確認したメールアドレス: std.uestc.edu.cn
Liangjian WenSouthwestern University of Finance and Economics Chengdu, China確認したメールアドレス: swufe.edu.cn
Yong DaiTencent AI Lab確認したメールアドレス: tencent.com
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMU確認したメールアドレス: smu.edu.sg
Cuiyun GAOHarbin Institute of Technology (Shenzhen)確認したメールアドレス: hit.edu.cn
Jing Xu確認したメールアドレス: stu.hit.edu.cn
Lili PanAssociate Professor, University of Electronic Science and Technology of China確認したメールアドレス: uestc.edu.cn
Haiqin YangInternational Digital Economy Academy (IDEA)確認したメールアドレス: ieee.org
Haoli BaiNoah's Ark Lab, Huawei確認したメールアドレス: huawei.com

フォロー

Zenglin Xu

Fudan University

確認したメールアドレス: fudan.edu.cn

Machine Learning Trustworthy AI Federated Learning Large Language Models Time Series Analysis


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	773	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	454	2010
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	428	2020
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	399*	2016
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	342	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	325	2018
Robust graph learning from noisy data Z Kang, H Pan, SCH Hoi, Z Xu IEEE transactions on cybernetics 50 (5), 1833-1843, 2020	304	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	284	2020
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	266	2022
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	253	2020
Auto-weighted multi-view clustering via kernelized graph learning S Huang, Z Kang, IW Tsang, Z Xu Pattern Recognition 88, 174-184, 2019	222	2019
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	216	2008
Semi-supervised deep embedded clustering Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu Neurocomputing 325, 121-130, 2019	198	2019
Auto-weighted multi-view clustering via deep matrix decomposition S Huang, Z Kang, Z Xu Pattern Recognition 97, 107015, 2020	189	2020
Low-rank kernel learning for graph-based clustering Z Kang, L Wen, W Chen, Z Xu Knowledge-Based Systems 163, 510-517, 2019	178	2019
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	173	2021
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	166	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	162	2012
RegNet: Self-regulated network for image classification J Xu, Y Pan, X Pan, S Hoi, Z Yi, Z Xu IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9562 - 9567, 2023	154	2023
Measuring diversity in graph learning: A unified framework for structured multi-view clustering S Huang, IW Tsang, Z Xu, J Lv IEEE Transactions on Knowledge and Data Engineering 34 (12), 5869-5883, 2021	147	2021

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