A Nonlinear Integral Defined on Partition and its Application to Decision Trees. - Xizhao Wang; Su-Fang Zhang; Jun-Hai Zhai (Soft Comput., 2007)

A model of finite-step random walk with absorbent boundaries. - Xizhao Wang; Jun-Hai Zhai; Su-Fang Zhang (Int. J. Comput. Math., 2008)

Face recognition based on 2DPCA and fuzzy-rough technique. - Jun-Hai Zhai; Chen-Yan Bai; Su-Fang Zhang (ICMLC, 2010)

Global Solution for the Nonlinear Beam Equation. - Su-Fang Zhang; Jian-Wen Zhang (AICI (1), 2011)

Instance selection based on supervised clustering. - Jun-Hai Zhai; Hong-Yu Xui; Su-Fang Zhang; Na Li; Ta Li (ICMLC, 2012)

Feature selection based on extreme learning machine. - Meng-Yao Zhai; Rui-Hua Yu; Su-Fang Zhang; Jun-Hai Zhai (ICMLC, 2012)

A Two-Phase RBF-ELM Learning Algorithm. - Junhai Zhai; Wenxiang Hu; Sufang Zhang (ICMLC (CCIS volume), 2014)

Tolerance Rough Fuzzy Approximation Operators and Their Properties. - Yao Zhang; Junhai Zhai; Sufang Zhang (ICMLC (CCIS volume), 2014)

Induction of tolerance rough fuzzy decision tree. - Jun-Hai Zhai; Shao-Xing Hou; Su-Fang Zhang (ICMLC, 2015)

Research on ordinal regression of interval valued data. - Hong Zhu 011; Jun-Hai Zhai; Su-Fang Zhang (ICMLC, 2015)

An Ordinal Random Forest and Its Parallel Implementation with MapReduce. - Shanshan Wang; Jun-Hai Zhai; Su-Fang Zhang; Hong Zhu 011 (SMC, 2015)

An extension of rough fuzzy set. - Junhai Zhai; Sufang Zhang; Yao Zhang (J. Intell. Fuzzy Syst., 2016)

随机权分布对极限学习机性能影响的实验研究 (Experimental Research on Effects of Random Weight Distributions on Performance of Extreme Learning Machine). - Junhai Zhai; Liguang Zang; Sufang Zhang (计算机科学, 2016)

A simple and effective method for image classification. - Pu Hao; Jun-Hai Zhai; Su-Fang Zhang (ICMLC, 2017)

Some Insights Into Convolutional Neural Networks. - Jun-Hai Zhai; Liguang Zang; Su-Fang Zhang (ICMLC, 2017)

在线序列主动学习方法 (Online Sequential Active Learning Approach). - Junhai Zhai; Liguang Zang; Sufang Zhang (计算机科学, 2017)

The classification of imbalanced large data sets based on MapReduce and ensemble of ELM classifiers. - Junhai Zhai; Sufang Zhang; Chenxi Wang (Int. J. Mach. Learn. Cybern., 2017)

Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder. - Chu Shen; Su-Fang Zhang; Jun-Hai Zhai; Ding-Sheng Luo; Jun-Fen Chen (ICMLC, 2018)

Recent Advance On Generative Adversarial Networks. - Su-Fang Zhang; Jun-Hai Zhai; Ding-Sheng Luo; Yan Zhan; Jun-Fen Chen (ICMLC, 2018)

Autoencoder and Its Various Variants. - Junhai Zhai; Sufang Zhang; Junfen Chen; Qiang He (SMC, 2018)

Tolerance rough fuzzy decision tree. - Junhai Zhai; Xizhao Wang; Sufang Zhang; Shao-Xing Hou (Inf. Sci., 2018)

Three-way decisions model based on rough fuzzy set. - Junhai Zhai; Sufang Zhang (J. Intell. Fuzzy Syst., 2018)

基于Spark的压缩近邻算法 (Spark Based Condensed Nearest Neighbor Algorithm). - Sufang Zhang; Junhai Zhai; Tingting Wang; Pu Hao; Cong Wang; Chunling Zhao (计算机科学, 2018)

Fuzzy integral-based ELM ensemble for imbalanced big data classification. - Junhai Zhai; Sufang Zhang; Mingyang Zhang; Xiaomeng Liu (Soft Comput., 2018)

Pose-Weighted Gan for Photorealistic Face Frontalization. - Sufang Zhang; Qinghai Miao; Min Huang 009; Xiangyu Zhu 001; Yingying Chen 003; Zhen Lei 001; Jinqiao Wang (ICIP, 2019)

Multimodal Representation Learning: Advances, Trends and Challenges. - Su-Fang Zhang; Jun-Hai Zhai; Bo-Jun Xie; Yan Zhan; Xin Wang (ICMLC, 2019)

Ensemble RBM-based classifier using fuzzy integral for big data classification. - Junhai Zhai; Xu Zhou; Sufang Zhang; Tingting Wang (Int. J. Mach. Learn. Cybern., 2019)

A Three-stage Method for Classification of Binary Imbalanced Big Data. - Jun-Hai Zhai; Su-Fang Zhang; Mo-Han Wang; Yan Li 003 (ICMLC, 2020)

Feature Selection for Big Data Based on Mapreduce and Voting Mechanism. - Su-Fang Zhang; Jun-Hai Zhai; Shi Tian; Xiang Zhou; Yan Li 003 (ICMLC, 2020)

Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion. - Junhai Zhai; Jiaxing Qi; Sufang Zhang (IEEE Access, 2020)

An instance selection algorithm for fuzzy K-nearest neighbor. - Junhai Zhai; Jiaxing Qi; Sufang Zhang (J. Intell. Fuzzy Syst., 2021)

What is the appropriate pricing mechanism for China's renewable energy in a new era? - Xiaoli Zhao; Zewei Zhong; Chao Gan; Fengguang Yan; Sufang Zhang (Comput. Ind. Eng., 2022)

A Survey of Face Recognition. - Xinyi Wang; Jianteng Peng; Sufang Zhang; Bihui Chen; Yi Wang; Yandong Guo (CoRR, 2022)

Imbalanced data classification based on diverse sample generation and classifier fusion. - Junhai Zhai; Jiaxing Qi; Sufang Zhang (Int. J. Mach. Learn. Cybern., 2022)

Binary imbalanced big data classification based on fuzzy data reduction and classifier fusion. - Junhai Zhai; Mohan Wang; Sufang Zhang (Soft Comput., 2022)

Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition. - Zhaohui Wang; Sufang Zhang; Jianteng Peng; Xinyi Wang; Yandong Guo (CoRR, 2023)

Visual analysis of multi-subject association patterns in high-dimensional time-varying student performance data. - Lianen Ji; Ziyi Wang; Shirong Qiu; Guang Yang; Sufang Zhang (Vis. Informatics, 2025)