Publications

You can also find my articles on my Google Scholar profile

Journal

• Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang, “Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 9, pp. 3525-3539, 2020. (JCR 1区) Source code
• Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang, “Adaptive Chunk-based Dynamic Weighted Majority for Imbalanced Data Streams with Concept Drift”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 8, pp. 2764-2778, 2020. (JCR 1区) Source code
• Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang, “Self-Adaptive Multi-Prototype-based Competitive Learning Approach: A k-means-type Algorithm for Imbalanced Data Clustering”, IEEE Transactions on Cybernetics (TCYB), DOI:10.1109/TCYB.2019.2916196. (JCR 1区) Source code
• Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You, “k-Times Markov Sampling for SVMC”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 4, pp. 1328-1341, 2017. (JCR 1区)
• Yuan Yan Tang, Yang Lu, Haoliang Yuan, “Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 53, no. 5, pp. 2467-2480, 2015. (Supervisor is the first author) (JCR 2区) Source code
• Lina Yang, Yuan Yan Tang, Yang Lu and Huiwu Luo, “A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis”, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 12, no. 2, pp. 348-369, 2015. (JCR 3区)
• Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu, Baochang Zhang, “The Generalization Ability of SVM Classification Based on Markov Sampling”, IEEE Transactions on Cybernetics (TCYB), vol. 45, no. 6, pp. 1169-1179, 2015. (JCR 1区)
• Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu, Baochang Zhang, “The Generalization Ability of Online SVM Classification Based on Markov Sampling”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 26, no. 3, pp. 628-639, 2014. (JCR 1区)
• Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu, “Generalization performance of Gaussian kernels SVMC based on Markov sampling”, Neural Networks, vol. 53, pp. 40-51, 2014. (JCR 2区)
• Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo, “Hyperspectral Image Classification Based on Regularized Sparse Representation”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 7, no. 6, pp. 2174-2182, 2014. (JCR 3区)
• Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo, “Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 7, no. 6, pp. 2035-2043, 2014. (JCR 3区)
• Bin Zou, Yuan Yan Tang, Zong Ben Xu, Luo Qing Li, Jie Xu, Yang Lu, “The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling”, IEEE Transactions on Cybernetics (TCYB), vol. 44, no. 9, pp. 1497-1507, 2014. (JCR 1区)

Conference

• Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang, “Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift”, in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pp. 2393-2399, Melbourne, Australia, August 19-25, 2017. (CCF A类) Source code
• Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang, “GOBoost: G-mean Optimized Boosting Framework for Class Imbalance Learning”, in Proceedings of the 12th World Congress on Intelligent Control and Automation (WCICA), pp. 3149-3154, Guilin, China, June 12-15, 2016.
• Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang, “Hybrid Sampling with Bagging for Class Imbalance Learning”, in Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 14-26, Auckland, New Zealand, April 19-22, 2016. (CCF C类)
• Jie Xu, Yang Lu, Bin Zou, “Learning Performance of DAGSVM Algorithm Based on Markov Sampling”, in Proceedings of International Conference on Machine Learning and Cybernetics (ICMLC), pp. 910-915, Guangzhou, China, July 12-15, 2015.
• Yang Lu, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo and Yuan Yan Tang, “A Novel Method for Protein Structure Retrieval Using Tableau Representation and Sparse Coding”, in Proceedings of IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 4042-4046, San Diego, USA, October 5-8, 2014. (CCF C类)
• Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, and Yuan Yan Tang, “Sparse Representation Using Contextual Information for Hyperspectral Image Classification”, in Proceedings of IEEE International Conference on Cybernetics(CYBCONF), pp. 138-143, Lausanne, Switzerland, June 13-15, 2013.
• Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, and Yuan Yan Tang, “Spectral-Spatial Linear Discriminate Analysis for Hyperspectral Image Classification”, in Proceedings of IEEE International Conference on Cybernetics (CYBCONF), pp. 144-149, Lausanne, Switzerland, June 13-15, 2013.