| Improved Nyström low-rank approximation and error analysis K Zhang, IW Tsang, JT Kwok Proceedings of the 25th international conference on Machine learning, 1232-1239, 2008 | 434 | 2008 |
| Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W Wang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 355 | 2018 |
| Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders J Zhang, W Cheng, Z Liu, K Zhang, X Lei, Y Yao, B Becker, Y Liu, ... Brain 139 (8), 2307-2321, 2016 | 309 | 2016 |
| Clustered Nyström method for large scale manifold learning and dimension reduction K Zhang, JT Kwok IEEE Transactions on Neural Networks 21 (10), 1576-1587, 2010 | 254 | 2010 |
| Maximum margin clustering made practical K Zhang, IW Tsang, JT Kwok Proceedings of the 24th International Conference on Machine learning, 1119-1126, 2007 | 233 | 2007 |
| Characterizing pseudoperiodic time series through the complex network approach J Zhang, J Sun, X Luo, K Zhang, T Nakamura, M Small Physica D: Nonlinear Phenomena 237 (22), 2856-2865, 2008 | 209 | 2008 |
| Scaling up kernel SVM on limited resources: A low-rank linearization approach K Zhang, L Lan, Z Wang, F Moerchen Artificial intelligence and statistics, 1425-1434, 2012 | 193 | 2012 |
| Prototype vector machine for large scale semi-supervised learning K Zhang, JT Kwok, B Parvin Proceedings of the 26th annual international conference on machine learning …, 2009 | 121 | 2009 |
| Entity embedding-based anomaly detection for heterogeneous categorical events T Chen, LA Tang, Y Sun, Z Chen, K Zhang arXiv preprint arXiv:1608.07502, 2016 | 110 | 2016 |
| Density-weighted Nyström method for computing large kernel eigensystems K Zhang, JT Kwok Neural computation 21 (1), 121-146, 2009 | 95 | 2009 |
| Adaptive structural fingerprints for graph attention networks K Zhang, Y Zhu, J Wang, J Zhang International Conference on Learning Representations, 2019 | 88 | 2019 |
| Neural and genetic determinants of creativity Z Liu, J Zhang, X Xie, ET Rolls, J Sun, K Zhang, Z Jiao, Q Chen, J Zhang, ... Neuroimage 174, 164-176, 2018 | 77 | 2018 |
| Distributed flexible nonlinear tensor factorization S Zhe, K Zhang, P Wang, K Lee, Z Xu, Y Qi, Z Ghahramani Advances in neural information processing systems 29, 2016 | 73 | 2016 |
| Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations W Cheng, K Zhang, H Chen, G Jiang, Z Chen, W Wang Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 72 | 2016 |
| Simplifying mixture models through function approximation K Zhang, JT Kwok IEEE Transactions on Neural Networks 21 (4), 644-658, 2010 | 72 | 2010 |
| Temporal skeletonization on sequential data: Patterns, categorization, and visualization C Liu, K Zhang, H Xiong, G Jiang, Q Yang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 71 | 2014 |
| Node importance for dynamical process on networks: A multiscale characterization J Zhang, XK Xu, P Li, K Zhang, M Small Chaos: an interdisciplinary journal of nonlinear science 21 (1), 2011 | 67 | 2011 |
| Covariate shift in hilbert space: A solution via sorrogate kernels K Zhang, V Zheng, Q Wang, J Kwok, Q Yang, I Marsic International Conference on Machine Learning, 388-395, 2013 | 64 | 2013 |
| Reexamination of explosive synchronization in scale-free networks: The effect of disassortativity P Li, K Zhang, X Xu, J Zhang, M Small Physical Review E 87 (4), 042803, 2013 | 63 | 2013 |
| Applying neighborhood consistency for fast clustering and kernel density estimation K Zhang, M Tang, JT Kwok 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 62 | 2005 |
James T. KwokProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyDirección de correo verificada de cse.ust.hk
