| Particle swarm optimization of tuned mass dampers AYT Leung, H Zhang Engineering Structures 31 (3), 715-728, 2009 | 197 | 2009 |
| Textual and visual content-based anti-phishing: a Bayesian approach H Zhang, G Liu, TWS Chow, W Liu IEEE Transactions on Neural Networks 22 (10), 1532-1546, 2011 | 171 | 2011 |
| Particle swarm optimization of TMD by non‐stationary base excitation during earthquake AYT Leung, H Zhang, CC Cheng, YY Lee Earthquake Engineering & Structural Dynamics 37 (9), 1223-1246, 2008 | 153 | 2008 |
| Object-level video advertising: an optimization framework H Zhang, X Cao, JKL Ho, TWS Chow IEEE Transactions on Industrial Informatics 13 (2), 520-531, 2016 | 141 | 2016 |
| ForesTexter: an efficient random forest algorithm for imbalanced text categorization Q Wu, Y Ye, H Zhang, MK Ng, SS Ho Knowledge-Based Systems 67, 105-116, 2014 | 98 | 2014 |
| Understanding subtitles by character-level sequence-to-sequence learning H Zhang, J Li, Y Ji, H Yue IEEE Transactions on Industrial Informatics 13 (2), 616-624, 2016 | 87 | 2016 |
| Extensions of kmeans-type algorithms: A new clustering framework by integrating intracluster compactness and intercluster separation X Huang, Y Ye, H Zhang IEEE transactions on neural networks and learning systems 25 (8), 1433-1446, 2013 | 80 | 2013 |
| Tree2Vector: learning a vectorial representation for tree-structured data H Zhang, S Wang, X Xu, TWS Chow, QMJ Wu IEEE transactions on neural networks and learning systems 29 (11), 5304-5318, 2018 | 76 | 2018 |
| Nature-inspired self-organization, control, and optimization in heterogeneous wireless networks H Zhang, J Llorca, CC Davis, SD Milner Mobile Computing, IEEE Transactions on 11 (7), 1207-1222, 2012 | 71 | 2012 |
| Organizing books and authors by multilayer SOM H Zhang, TWS Chow, QMJ Wu IEEE transactions on neural networks and learning systems 27 (12), 2537-2550, 2015 | 65 | 2015 |
| Sitcom-star-based clothing retrieval for video advertising: a deep learning framework H Zhang, Y Ji, W Huang, L Liu Neural computing and applications 31 (11), 7361-7380, 2019 | 64 | 2019 |
| Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction M Zhao, TWS Chow, Z Wu, Z Zhang, B Li Information Sciences 324, 286-309, 2015 | 63 | 2015 |
| A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition H Zhang, QMJ Wu, TWS Chow, M Zhao Pattern Recognition 45 (5), 1866-1876, 2012 | 62 | 2012 |
| Detecting hot topics from Twitter: A multiview approach Y Fang, H Zhang, Y Ye, X Li Journal of Information Science 40 (5), 578-593, 2014 | 59 | 2014 |
| DSKmeans: A new kmeans-type approach to discriminative subspace clustering X Huang, Y Ye, H Guo, Y Cai, H Zhang, Y Li Knowledge-Based Systems 70, 293-300, 2014 | 51 | 2014 |
| A new document representation using term frequency and vectorized graph connectionists with application to document retrieval TWS Chow, H Zhang, MKM Rahman Expert Systems with Applications 36 (10), 12023-12035, 2009 | 47 | 2009 |
| Salient object detection via multi-scale attention CNN Y Ji, H Zhang, QMJ Wu Neurocomputing 322, 130-140, 2018 | 44 | 2018 |
| ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval H Zhang, Y Sun, L Liu, X Wang, L Li, W Liu Neural computing and applications 32 (9), 4519-4530, 2020 | 40 | 2020 |
| Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift G Song, Y Ye, H Zhang, X Xu, RYK Lau, F Liu Information Sciences 357, 125-143, 2016 | 39 | 2016 |
| A coarse-to-fine framework to efficiently thwart plagiarism H Zhang, TWS Chow Pattern Recognition 44 (2), 471-487, 2011 | 38 | 2011 |
Tommy W S ChowProfessor of Electronic Engineering, City University of Hong KongVerified email at cityu.edu.hk
