Semi-supervised Distributed Clustering with Mahalanobis Distance Metric Learning. - Yuecheng Yu; Jiandong Wang; Guansheng Zheng; Bin Gu 001 (J. Digit. Content Technol. its Appl., 2010)

Accurate on-line v-support vector learning. - Bin Gu 001; Jiandong Wang; Yuecheng Yu; Guansheng Zheng; Yufan Huang; Tao Xu (Neural Networks, 2012)

Regularization Path for ν-Support Vector Classification. - Bin Gu 001; Jiandong Wang; Guansheng Zheng; Yuecheng Yu (IEEE Trans. Neural Networks Learn. Syst., 2012)

An indoor positioning method based on virtual reference RFID tags. - Yunhua Gu; Junyong Zhang; Guansheng Zheng; Sai Ji; Jin Wang 001 (ICCE-TW, 2015)

Faster Training Algorithms for Structured Sparsity-Inducing Norm. - Bin Gu 001; Xingwang Ju; Xiang Li 012; Guansheng Zheng (IJCAI, 2018)

Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs. - Bin Gu 001; Yingying Shan; Xiang Geng; Guansheng Zheng (IJCAI, 2018)

Chunk incremental learning for cost-sensitive hinge loss support vector machine. - Bin Gu 001; Xin Quan; Yunhua Gu; Victor S. Sheng; Guansheng Zheng (Pattern Recognit., 2018)

Scalable Semi-Supervised SVM via Triply Stochastic Gradients. - Xiang Geng; Bin Gu 001; Xiang Li 012; Wanli Shi; Guansheng Zheng; Heng Huang (IJCAI, 2019)

Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm. - Bin Gu 001; Xiang Geng; Xiang Li 012; Guansheng Zheng (Neural Networks, 2019)

Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms. - Bin Gu 001; Xiang Geng; Wanli Shi; Yingying Shan; Yufang Huang; Zhijie Wang 003; Guansheng Zheng (Pattern Recognit., 2021)

A kernel path algorithm for general parametric quadratic programming problem. - Bin Gu 001; Ziran Xiong; Shuyang Yu; Guansheng Zheng (Pattern Recognit., 2021)

Accelerating Sequential Minimal Optimization via Stochastic Subgradient Descent. - Bin Gu 001; Yingying Shan; Xin Quan; Guansheng Zheng (IEEE Trans. Cybern., 2021)

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. - Bin Gu 001; Xiang Geng; Xiang Li 012; Wanli Shi; Guansheng Zheng; Cheng Deng; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Kernel Path for ν-Support Vector Classification. - Bin Gu 001; Ziran Xiong; Xiang Li 012; Zhou Zhai; Guansheng Zheng (IEEE Trans. Neural Networks Learn. Syst., 2023)

Active learning for deep object detection by fully exploiting unlabeled data. - Feixiang Tan; Guansheng Zheng (Connect. Sci., 2023)