☰

Zenglin Xu, Ph.D. - Publications

Affiliations: 
2009 The Chinese University of Hong Kong, Hong Kong, Hong Kong 
Area:
Computer Science
Tree Info Similar researchers PubMed Report error

48 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Xu J, Pan X, Wang J, Pei W, Liao Q, Xu Z. CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification. Ieee Transactions On Neural Networks and Learning Systems. PMID 38393839 DOI: 10.1109/TNNLS.2024.3355774  0.352
2021 Lv J, Kang Z, Lu X, Xu Z. Pseudo-supervised Deep Subspace Clustering. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 34033539 DOI: 10.1109/TIP.2021.3079800  0.352
2021 Lv S, Wei L, Zhang Q, Liu B, Xu Z. Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting. Ieee Transactions On Neural Networks and Learning Systems. PMID 34029195 DOI: 10.1109/TNNLS.2021.3077312  0.329
2021 Gu W, Li Z, Gao C, Wang C, Zhang H, Xu Z, Lyu MR. CRaDLe: Deep code retrieval based on semantic Dependency Learning. Neural Networks : the Official Journal of the International Neural Network Society. 141: 385-394. PMID 33992974 DOI: 10.1016/j.neunet.2021.04.019  0.456
2021 Kang Z, Peng C, Cheng Q, Liu X, Peng X, Xu Z, Tian L. Structured graph learning for clustering and semi-supervised classification Pattern Recognition. 110: 107627. DOI: 10.1016/J.Patcog.2020.107627  0.44
2020 Kang Z, Lu X, Liang J, Bai K, Xu Z. Relation-Guided Representation Learning. Neural Networks : the Official Journal of the International Neural Network Society. 131: 93-102. PMID 32763763 DOI: 10.1016/J.Neunet.2020.07.014  0.443
2020 Kang Z, Lu X, Lu Y, Peng C, Chen W, Xu Z. Structure learning with similarity preserving. Neural Networks : the Official Journal of the International Neural Network Society. 129: 138-148. PMID 32516696 DOI: 10.1016/J.Neunet.2020.05.030  0.359
2020 Fang X, Bai H, Guo Z, Shen B, Hoi S, Xu Z. DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks : the Official Journal of the International Neural Network Society. 127: 182-192. PMID 32361548 DOI: 10.1016/J.Neunet.2020.03.025  0.357
2020 Huang S, Kang Z, Xu Z. Auto-weighted multi-view clustering via deep matrix decomposition Pattern Recognition. 97: 107015. DOI: 10.1016/J.Patcog.2019.107015  0.471
2020 Ren Y, Huang S, Zhao P, Han M, Xu Z. Self-paced and auto-weighted multi-view clustering Neurocomputing. 383: 248-256. DOI: 10.1016/J.Neucom.2019.11.104  0.453
2020 Huang S, Xu Z, Kang Z, Ren Y. Regularized nonnegative matrix factorization with adaptive local structure learning Neurocomputing. 382: 196-209. DOI: 10.1016/J.Neucom.2019.11.070  0.421
2020 Ma D, Liu B, Kang Z, Zhou J, Zhu J, Xu Z. Two birds with one stone: Transforming and generating facial images with iterative GAN Neurocomputing. 396: 278-290. DOI: 10.1016/J.Neucom.2018.10.093  0.546
2020 Kang Z, Shi G, Huang S, Chen W, Pu X, Zhou JT, Xu Z. Multi-graph fusion for multi-view spectral clustering Knowledge-Based Systems. 189: 105102. DOI: 10.1016/J.Knosys.2019.105102  0.395
2020 Huang S, Xu Z, Tsang IW, Kang Z. Auto-weighted multi-view co-clustering with bipartite graphs Information Sciences. 512: 18-30. DOI: 10.1016/J.Ins.2019.09.079  0.46
2020 Sheng Y, Xu Z, Wang Y, de Melo G. Multi-document semantic relation extraction for news analytics World Wide Web. 23: 2043-2077. DOI: 10.1007/S11280-020-00790-2  0.316
2019 Wen L, Zhang X, Bai H, Xu Z. Structured pruning of recurrent neural networks through neuron selection. Neural Networks : the Official Journal of the International Neural Network Society. 123: 134-141. PMID 31855748 DOI: 10.1016/J.Neunet.2019.11.018  0.368
2019 Kang Z, Zhao X, Peng C, Zhu H, Zhou JT, Peng X, Chen W, Xu Z. Partition level multiview subspace clustering. Neural Networks : the Official Journal of the International Neural Network Society. 122: 279-288. PMID 31731045 DOI: 10.1016/J.Neunet.2019.10.010  0.411
2019 Kang Z, Pan H, Hoi SCH, Xu Z. Robust Graph Learning From Noisy Data. Ieee Transactions On Cybernetics. PMID 30629527 DOI: 10.1109/Tcyb.2018.2887094  0.444
2019 Kang Z, Lu Y, Su Y, Li C, Xu Z. Similarity Learning via Kernel Preserving Embedding Proceedings of the Aaai Conference On Artificial Intelligence. 33: 4057-4064. DOI: 10.1609/AAAI.V33I01.33014057  0.384
2019 Huang S, Kang Z, Tsang IW, Xu Z. Auto-weighted multi-view clustering via kernelized graph learning Pattern Recognition. 88: 174-184. DOI: 10.1016/J.Patcog.2018.11.007  0.483
2019 Kang Z, Xu H, Wang B, Zhu H, Xu Z. Clustering with similarity preserving Neurocomputing. 365: 211-218. DOI: 10.1016/J.Neucom.2019.07.086  0.402
2019 Ren Y, Kamath U, Domeniconi C, Xu Z. Parallel boosted clustering Neurocomputing. 351: 87-100. DOI: 10.1016/J.Neucom.2019.04.003  0.363
2019 Ren Y, Que X, Yao D, Xu Z. Self-paced multi-task clustering Neurocomputing. 350: 212-220. DOI: 10.1016/J.Neucom.2019.03.062  0.415
2019 Ren Y, Hu K, Dai X, Pan L, Hoi SC, Xu Z. Semi-supervised deep embedded clustering Neurocomputing. 325: 121-130. DOI: 10.1016/J.Neucom.2018.10.016  0.412
2019 Huang S, Zhao P, Ren Y, Li T, Xu Z. Self-paced and soft-weighted nonnegative matrix factorization for data representation Knowledge-Based Systems. 164: 29-37. DOI: 10.1016/J.Knosys.2018.10.003  0.455
2019 Kang Z, Wen L, Chen W, Xu Z. Low-rank kernel learning for graph-based clustering Knowledge-Based Systems. 163: 510-517. DOI: 10.1016/J.Knosys.2018.09.009  0.448
2019 Hao Z, Wang Y, Liu Z, de Melo G, Xu Z. Knowledge Fusion via Joint Tensor and Matrix Factorization Cognitive Computation. 12: 642-653. DOI: 10.1007/S12559-019-09686-4  0.35
2018 Xu Z, Liu B, Zhe S, Bai H, Wang Z, Neville J. Variational Random Function Model for Network Modeling. Ieee Transactions On Neural Networks and Learning Systems. PMID 29994274 DOI: 10.1109/Tnnls.2018.2837667  0.322
2018 Liu B, Li Y, Xu Z. Manifold regularized matrix completion for multi-label learning with ADMM. Neural Networks : the Official Journal of the International Neural Network Society. 101: 57-67. PMID 29486381 DOI: 10.1016/J.Neunet.2018.01.011  0.432
2018 Hao L, Liang S, Ye J, Xu Z. TensorD: A tensor decomposition library in TensorFlow Neurocomputing. 318: 196-200. DOI: 10.1016/J.Neucom.2018.08.055  0.359
2018 Huang S, Ren Y, Xu Z. Robust multi-view data clustering with multi-view capped-norm K-means Neurocomputing. 311: 197-208. DOI: 10.1016/J.Neucom.2018.05.072  0.449
2018 Huang S, Kang Z, Xu Z. Self-weighted multi-view clustering with soft capped norm Knowledge-Based Systems. 158: 1-8. DOI: 10.1016/J.Knosys.2018.05.017  0.468
2018 Huang S, Xu Z, Lv J. Adaptive local structure learning for document co-clustering Knowledge-Based Systems. 148: 74-84. DOI: 10.1016/J.Knosys.2018.02.020  0.462
2018 Liu B, He L, Li Y, Zhe S, Xu Z. NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition Cognitive Computation. 10: 1051-1061. DOI: 10.1007/S12559-018-9587-4  0.375
2018 He L, Liu B, Li G, Sheng Y, Wang Y, Xu Z. Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition Cognitive Computation. 10: 1075-1084. DOI: 10.1007/S12559-018-9565-X  0.41
2017 Huang S, Wang H, Li T, Li T, Xu Z. Robust graph regularized nonnegative matrix factorization for clustering Data Mining and Knowledge Discovery. 32: 483-503. DOI: 10.1007/S10618-017-0543-9  0.416
2016 Xu Z, Zhe S, Qi Y, Yu P. Association Discovery and Diagnosis of Alzheimer’s Disease with Bayesian Multiview Learning Journal of Artificial Intelligence Research. 56: 247-268. DOI: 10.1613/Jair.4956  0.343
2016 Liu B, Xu Z, Wu S, Wang F. Manifold regularized matrix completion for multilabel classification Pattern Recognition Letters. 80: 58-63. DOI: 10.1016/J.Patrec.2016.04.017  0.434
2016 Wu H, Heng X, Xu Z. Consensus guided multiple match removal for geometry verification in image retrieval Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9517: 130-139. DOI: 10.1007/978-3-319-27674-8_12  0.316
2015 Yang H, Xu Z, Lyu MR, King I. Budget constrained non-monotonic feature selection. Neural Networks : the Official Journal of the International Neural Network Society. 71: 214-224. PMID 26433049 DOI: 10.1016/J.Neunet.2015.08.004  0.665
2015 Xu Z, Yan F, Qi Y. Bayesian Nonparametric Models for Multiway Data Analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 475-87. PMID 26353255 DOI: 10.1109/Tpami.2013.201  0.398
2014 Shen B, Xu Z, Allebach JP. Kernel tapering: A simple and effective approach to sparse kernels for image processing 2014 Ieee International Conference On Image Processing, Icip 2014. 4917-4921. DOI: 10.1109/ICIP.2014.7025996  0.347
2011 Yang H, Xu Z, Ye J, King I, Lyu MR. Efficient sparse generalized multiple kernel learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 22: 433-46. PMID 21257374 DOI: 10.1109/Tnn.2010.2103571  0.647
2010 Xu Z, King I, Lyu MR, Jin R. Discriminative semi-supervised feature selection via manifold regularization. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1033-47. PMID 20570772 DOI: 10.1109/Tnn.2010.2047114  0.614
2009 Xu Z, Huang K, Zhu J, King I, Lyu MR. A novel kernel-based maximum a posteriori classification method. Neural Networks : the Official Journal of the International Neural Network Society. 22: 977-87. PMID 19167865 DOI: 10.1016/J.Neunet.2008.11.005  0.665
2008 Xu Z. Data mining technologies inspired from visual principle Ifip Advances in Information and Communication Technology. 288: 5-6.  0.354
2007 Xu Z, King I, Lyu MR. Web page classification with heterogeneous data fusion 16th International World Wide Web Conference, Www2007. 1171-1172. DOI: 10.1145/1242572.1242750  0.534
2007 Xu Z, King I, Lyu MR. Feature selection based on minimum error minimax probability machine International Journal of Pattern Recognition and Artificial Intelligence. 21: 1279-1292. DOI: 10.1142/S0218001407005958  0.562
Show low-probability matches.