A Unified Gradient Regularization Family for Adversarial Examples by Lyu, Chunchuan, Huang, Kaizhu, Liang, Hai-Ning

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Comparative study of modern heuristic algorithms for global maximum power point tracking in photovoltaic systems under partial shading conditions by Wang, Kangshi, Ma, Jieming, Man, Ka Lok, Huang, Kaizhu, Huang, Xiaowei

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Generalized sparse metric learning with relative comparisons by Huang, Kaizhu, Ying, Yiming, Campbell, Colin

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Learning Locality Preserving Graph from Data by Zhang, Yan-Ming, Huang, Kaizhu, Hou, Xinwen, Liu, Cheng-Lin

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Maxi-Min discriminant analysis via online learning by Xu, Bo, Huang, Kaizhu, Liu, Cheng-Lin

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Imbalanced learning with a biased minimax probability machine by Kaizhu Huang, Haiqin Yang, Irwin King, Lyu, M.R.

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Maximizing sensitivity in medical diagnosis using biased minimax probability Machine by Kaizhu Huang, Haiqin Yang, Irwin King, Lyu, M.R.

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Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally by Kaizhu Huang, Haiqin Yang, King, I., Lyu, M.R.

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Graphical lasso quadratic discriminant function and its application to character recognition by Xu, Bo, Huang, Kaizhu, King, Irwin, Liu, Cheng-Lin, Sun, Jun, Satoshi, Naoi

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Cross-modality interactive attention network for multispectral pedestrian detection by Zhang, Lu, Liu, Zhiyong, Zhang, Shifeng, Yang, Xu, Qiao, Hong, Huang, Kaizhu, Hussain, Amir

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A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting by Kim, Kyeong Soo, Lee, Sanghyuk, Huang, Kaizhu

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Combination of Classification and Clustering Results with Label Propagation by Zhang, Xu-Yao, Yang, Peipei, Zhang, Yan-Ming, Huang, Kaizhu, Liu, Cheng-Lin

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Learning Disentangled Graph Convolutional Networks Locally and Globally by Guo, Jingwei, Huang, Kaizhu, Yi, Xinping, Zhang, Rui

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A review on multi-task metric learning by Yang, Peipei, Huang, Kaizhu, Hussain, Amir

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Re-thinking model robustness from stability: a new insight to defend adversarial examples by Zhang, Shufei, Huang, Kaizhu, Xu, Zenglin

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Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence by Hassija, Vikas, Chamola, Vinay, Mahapatra, Atmesh, Singal, Abhinandan, Goel, Divyansh, Huang, Kaizhu, Scardapane, Simone, Spinelli, Indro, Mahmud, Mufti, Hussain, Amir

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IAN: The Individual Aggregation Network for Person Search by Xiao, Jimin, Xie, Yanchun, Tillo, Tammam, Huang, Kaizhu, Wei, Yunchao, Feng, Jiashi

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Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers by Kanwal, Summrina, Hussain, Amir, Huang, Kaizhu

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Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training by Cheng, Jiezhu, Huang, Kaizhu, Zheng, Zibin

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A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies by Qian, Zhuang, Huang, Kaizhu, Wang, Qiu-Feng, Zhang, Xu-Yao

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