| Interpreting black-box models: a review on explainable artificial intelligence V Hassija, V Chamola, A Mahapatra, A Singal, D Goel, K Huang, ... Cognitive Computation 16 (1), 45-74, 2024 | 1755 | 2024 |
| 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 | 858 | 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 | 321 | 2017 |
| 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, 2014 | 309 | 2014 |
| A unified gradient regularization family for adversarial examples C Lyu, K Huang, HN Liang 2015 IEEE international conference on data mining, 301-309, 2015 | 290 | 2015 |
| 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 | 286 | 2019 |
| 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 | 256 | 2020 |
| 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 | 233 | 2018 |
| Localized support vector regression for time series prediction H Yang, K Huang, I King, MR Lyu Neurocomputing 72 (10-12), 2659-2669, 2009 | 216 | 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 | 188 | 2019 |
| Deep learning for brain age estimation: A systematic review M Tanveer, MA Ganaie, I Beheshti, T Goel, N Ahmad, KT Lai, K Huang, ... Information Fusion 96, 130-143, 2023 | 152 | 2023 |
| Deep learning: fundamentals, theory and applications K Huang, A Hussain, QF Wang, R Zhang Springer International Publishing, 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 | 147 | 2004 |
| Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems 22, 2009 | 144 | 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 | 142 | 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 | 136 | 2013 |
| Rethinking data augmentation for single-source domain generalization in medical image segmentation Z Su, K Yao, X Yang, K Huang, Q Wang, J Sun Proceedings of the AAAI conference on artificial intelligence 37 (2), 2366-2374, 2023 | 133 | 2023 |
| A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies Z Qian, K Huang, QF Wang, XY Zhang Pattern Recognition 131, 108889, 2022 | 122 | 2022 |
| 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 | 106 | 2008 |
| 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 | 106 | 2004 |
Qiufeng WangINT, SAT, XJTLUVerified email at xjtlu.edu.cn
