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Kaizhu Huang
Kaizhu Huang
Professor of ECE, Duke Kunshan University
Подтвержден адрес электронной почты в домене dukekunshan.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
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
8332013
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
2962017
A unified gradient regularization family for adversarial examples
C Lyu, K Huang, HN Liang
2015 IEEE international conference on data mining, 301-309, 2015
2592015
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
2572015
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
2472024
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
2072018
Localized support vector regression for time series prediction
H Yang, K Huang, I King, MR Lyu
Neurocomputing 72 (10-12), 2659-2669, 2009
2072009
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
2042020
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
1812019
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
1682019
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
1442004
Sparse metric learning via smooth optimization
Y Ying, K Huang, C Campbell
Advances in neural information processing systems 22, 2009
1402009
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
1362004
Deep learning: fundamentals, theory and applications
K Huang, A Hussain, QF Wang, R Zhang
springer, 2019
1272019
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
1272013
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
992004
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
932008
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
872010
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
822006
Machine learning: modeling data locally and globally
KZ Huang, H Yang, I King, MR Lyu
Springer Science & Business Media, 2008
78*2008
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