| 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 | 801 | 2013 |
| 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 | 250 | 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 | 227 | 2015 |
| 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 | 209 | 2015 |
| Localized support vector regression for time series prediction H Yang, K Huang, I King, MR Lyu Neurocomputing 72 (10-12), 2659-2669, 2009 | 198 | 2009 |
| 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, 1-17, 2018 | 175 | 2018 |
| Reliability does matter: An end-to-end weakly supervised semantic segmentation approach B Zhang, J Xiao, Y Wei, M Sun, K Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12765 …, 2020 | 156 | 2020 |
| 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 | 150 | 2019 |
| 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 | 142 | 2004 |
| Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems 22, 2009 | 137 | 2009 |
| 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 | 133 | 2004 |
| Cross-modality interactive attention network for multispectral pedestrian detection L Zhang, Z Liu, S Zhang, X Yang, H Qiao, K Huang, A Hussain Information Fusion 50, 20-29, 2019 | 132 | 2019 |
| Fast kNN Graph Construction with Locality Sensitive Hashing YM Zhang, K Huang, G Geng, CL Liu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 119 | 2013 |
| Deep learning: fundamentals, theory and applications K Huang, A Hussain, QF Wang, R Zhang springer, 2019 | 107 | 2019 |
| 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 | 100 | 2004 |
| 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 | 89 | 2008 |
| 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 | 82 | 2006 |
| 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 | 80 | 2010 |
| 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 | 75 | 2004 |
| 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 | 75 | 2004 |
Irwin KingThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
