| Robust text detection in natural scene images XC Yin, X Yin, K Huang, HW Hao IEEE transactions on pattern analysis and machine intelligence 36 (5), 970-983, 2013 | 629 | 2013 |
| Localized support vector regression for time series prediction H Yang, K Huang, I King, MR Lyu Neurocomputing 72 (10-12), 2659-2669, 2009 | 161 | 2009 |
| Learning classifiers from imbalanced data based on biased minimax probability machine K Huang, H Yang, I King, MR Lyu Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 133 | 2004 |
| Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems 22, 2214-2222, 2009 | 124 | 2009 |
| Customer churn prediction in the telecommunication sector using a rough set approach A Amin, S Anwar, A Adnan, M Nawaz, K Alawfi, A Hussain, K Huang Neurocomputing 237, 242-254, 2017 | 117 | 2017 |
| A unified gradient regularization family for adversarial examples C Lyu, K Huang, HN Liang 2015 IEEE International Conference on Data Mining, 301-309, 2015 | 108 | 2015 |
| The minimum error minimax probability machine K Huang, H Yang, I King, MR Lyu, L Chan Journal of Machine Learning Research 5 (Oct), 1253-1286, 2004 | 108 | 2004 |
| Chinese Academy of Sciences JJ Zhang Status and Perspectives on Trans-Petaflops HPC Development in China …, 2011 | 94 | 2011 |
| Biased support vector machine for relevance feedback in image retrieval CH Hoi, CH Chan, K Huang, MR Lyu, I King 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 88 | 2004 |
| Fast kNN Graph Construction with Locality Sensitive Hashing YM Zhang, K Huang, G Geng, CL Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 84 | 2013 |
| Machine learning: modeling data locally and globally KZ Huang, H Yang, I King, MR Lyu Springer Science & Business Media, 2008 | 83* | 2008 |
| Maxi–min margin machine: learning large margin classifiers locally and globally K Huang, H Yang, I King, MR Lyu IEEE Transactions on Neural Networks 19 (2), 260-272, 2008 | 83 | 2008 |
| Hybrid metaheuristic algorithms: past, present, and future TO Ting, XS Yang, S Cheng, K Huang Recent advances in swarm intelligence and evolutionary computation, 71-83, 2015 | 76 | 2015 |
| Imbalanced learning with a biased minimax probability machine K Huang, H Yang, I King, MR Lyu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006 | 75 | 2006 |
| Learning large margin classifiers locally and globally K Huang, H Yang, I King, MR Lyu Proceedings of the twenty-first international conference on Machine learning, 51, 2004 | 72 | 2004 |
| A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting KS Kim, S Lee, K Huang Big Data Analytics 3 (1), 4, 2018 | 63 | 2018 |
| Sparse learning for support vector classification K Huang, D Zheng, J Sun, Y Hotta, K Fujimoto, S Naoi Pattern Recognition Letters 31 (13), 1944-1951, 2010 | 60 | 2010 |
| Enhanced protein fold recognition through a novel data integration approach Y Ying, K Huang, C Campbell BMC bioinformatics 10 (1), 267, 2009 | 60 | 2009 |
| IAN: the individual aggregation network for person search J Xiao, Y Xie, T Tillo, K Huang, Y Wei, J Feng Pattern Recognition 87, 332-340, 2019 | 59 | 2019 |
| Gsml: A unified framework for sparse metric learning K Huang, Y Ying, C Campbell Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, 189-198, 2009 | 50 | 2009 |
Irwin KingThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
