Publications

You can also find my articles on my Google Scholar profile

Journal

• Motion Consistency Guided Robust Geometric Model Fitting with Severe Outliers
  Hanlin Guo, Yang Lu, Haosheng Chen, Hailing Luo, Guobao Xiao, Haifang Zhang, and Hanzi Wang
  IEEE Transactions on Industrial Electronics (TIE), 2021, accepted. (JCR 1区)
• Recurrent Context Aggregation Network for Single Image Dehazing
  Chen Wang, Runqing Chen, Yang Lu, Yan Yan, and Hanzi Wang
  IEEE Signal Processing Letters (SPL), vol. 28, pp. 419-423, 2021. (JCR 3区 / CCF C)
• Self-Adaptive Multi-Prototype-based Competitive Learning Approach: A k-means-type Algorithm for Imbalanced Data Clustering
  Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang
  IEEE Transactions on Cybernetics (TCYB), vol. 51, no. 3, pp. 1598-1612, 2021. (JCR 1区 / CCF B) code
• Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem
  Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 9, pp. 3525-3539, 2020. (JCR 1区 / CCF B) code
• Adaptive Chunk-based Dynamic Weighted Majority for Imbalanced Data Streams with Concept Drift
  Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 8, pp. 2764-2778, 2020. (JCR 1区 / CCF B) code
• k-Times Markov Sampling for SVMC
  Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 4, pp. 1328-1341, 2017. (JCR 1区 / CCF B)
• Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform
  Yuan Yan Tang, Yang Lu, Haoliang Yuan
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 53, no. 5, pp. 2467-2480, 2015. (Supervisor is the first author) (JCR 2区 / CCF B) code
• A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis
  Lina Yang, Yuan Yan Tang, Yang Lu and Huiwu Luo
  IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 12, no. 2, pp. 348-369, 2015. (JCR 3区 / CCF B)
• The Generalization Ability of SVM Classification Based on Markov Sampling
  Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu, Baochang Zhang
  IEEE Transactions on Cybernetics (TCYB), vol. 45, no. 6, pp. 1169-1179, 2015. (JCR 1区 / CCF B)
• The Generalization Ability of Online SVM Classification Based on Markov Sampling
  Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu, Baochang Zhang
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 26, no. 3, pp. 628-639, 2014. (JCR 1区 / CCF B)
• Generalization performance of Gaussian kernels SVMC based on Markov sampling
  Jie Xu, Yuan Yan Tang, Bin Zou, Zong Ben Xu, Luo Qing Li, Yang Lu
  Neural Networks, vol. 53, pp. 40-51, 2014. (JCR 2区 / CCF B)
• Hyperspectral Image Classification Based on Regularized Sparse Representation
  Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 7, no. 6, pp. 2174-2182, 2014. (JCR 3区)
• Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis
  Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 7, no. 6, pp. 2035-2043, 2014. (JCR 3区)
• The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling
  Bin Zou, Yuan Yan Tang, Zong Ben Xu, Luo Qing Li, Jie Xu, Yang Lu
  IEEE Transactions on Cybernetics (TCYB), vol. 44, no. 9, pp. 1497-1507, 2014. (JCR 1区 / CCF B)

Conference

• Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification
  Yukang Zhang, Yan Yan, Yang Lu, Hanzi Wang
  ACM International Conference on Multimedia (ACMMM), 2021, accepted. (CCF A)
• Small-vote sample selection for label-noise learning
  Youze Xu, Yan Yan, Jing-hao Xue, Yang Lu, Hanzi Wang
  The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021, accepted. (CCF B)
• Global and Local Feature Alignment for Video Object Detection
  Haihui Ye, Qiang Qi, Ying Wang, Yang Lu, Hanzi Wang
  ACM International Conference on Multimedia in Asia (MMAsia), pp. 1-7, Singapore, March 7-9, 2020.
• Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift
  Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang
  International Joint Conference on Artificial Intelligence (IJCAI), pp. 2393-2399, Melbourne, Australia, August 19-25, 2017. (CCF A) code
• GOBoost: G-mean Optimized Boosting Framework for Class Imbalance Learning
  Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang
  World Congress on Intelligent Control and Automation (WCICA), pp. 3149-3154, Guilin, China, June 12-15, 2016.
• Hybrid Sampling with Bagging for Class Imbalance Learning
  Yang Lu, Yiu-ming Cheung, and Yuan Yan Tang
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 14-26, Auckland, New Zealand, April 19-22, 2016. (CCF C)
• Learning Performance of DAGSVM Algorithm Based on Markov Sampling
  Jie Xu, Yang Lu, Bin Zou
  International Conference on Machine Learning and Cybernetics (ICMLC), pp. 910-915, Guangzhou, China, July 12-15, 2015.
• A Novel Method for Protein Structure Retrieval Using Tableau Representation and Sparse Coding
  Yang Lu, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo and Yuan Yan Tang
  IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 4042-4046, San Diego, USA, October 5-8, 2014. (CCF C)
• Sparse Representation Using Contextual Information for Hyperspectral Image Classification
  Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, and Yuan Yan Tang
  IEEE International Conference on Cybernetics (CYBCONF), pp. 138-143, Lausanne, Switzerland, June 13-15, 2013.
• Spectral-Spatial Linear Discriminate Analysis for Hyperspectral Image Classification
  Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, and Yuan Yan Tang
  IEEE International Conference on Cybernetics (CYBCONF), pp. 144-149, Lausanne, Switzerland, June 13-15, 2013.