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Jun-Hai Zhai
Junhai Zhai
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2020 – today
- 2025
- [j50]Bing Wang, Taifeng Huang, Shuo Yang, Ying Yang, Junhai Zhai, Xin Zhang
:
Dual-decoder data decoupling training for semi-supervised medical image segmentation. Biomed. Signal Process. Control. 100: 106984 (2025) - 2024
- [j49]Yuxin Tang, Suyun Zhao, Hong Chen, Cuiping Li, Junhai Zhai, Qiangjun Zhou:
Fuzzy rough unlearning model for feature selection. Int. J. Approx. Reason. 165: 109102 (2024) - [j48]Lei Xu, Junhai Zhai:
Generating adversarial examples with collaborative generative models. Int. J. Inf. Sec. 23(2): 1077-1091 (2024) - [j47]Yaoyao Wang, Junhai Zhai
Feature balanced re-enhanced network with multi-factor margin loss for long-tailed visual recognition. Neurocomputing 610: 128530 (2024) - [j46]Jiankai Chen
Fusing multiple interval-valued fuzzy monotonic decision trees. Inf. Sci. 676: 120810 (2024) - [j45]Jiaqi Sun, Junhai Zhai
MCNet: Multivariate long-term time series forecasting with local and global context modeling. Inf. Sci. 676: 120864 (2024) - [j44]Jiankai Chen, Zhongyan Li, Han Su, Junhai Zhai:
Self-adaptive interval dominance-based feature selection for monotonic classification of interval-valued attributes. Int. J. Mach. Learn. Cybern. 15(6): 2209-2228 (2024) - [j43]Ruizhi Liao, Junhai Zhai, Feng Zhang:
Optimization model based on attention mechanism for few-shot image classification. Mach. Vis. Appl. 35(2): 19 (2024) - 2023
- [j42]Shixiang Ma, Junhai Zhai:
Big data decision tree for continuous-valued attributes based on unbalanced cut points. J. Big Data 10(1): 135 (2023) - [j41]Xuesong Zhou, Junhai Zhai
Feature fusion network for long-tailed visual recognition. Pattern Recognit. 144: 109827 (2023) - [c40]Wei Zhang
SwinVI:3D Swin Transformer Model with U-net for Video Inpainting. IJCNN 2023: 1-8 - 2022
- [j40]Feng Zhang, Xi-Cheng Li, Chee Peng Lim, Qiang Hua, Chun-Ru Dong, Jun-Hai Zhai:
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition. Inf. Fusion 88: 296-304 (2022) - [j39]Junhai Zhai, Jiaxing Qi, Chu Shen:
Binary imbalanced data classification based on diversity oversampling by generative models. Inf. Sci. 585: 313-343 (2022) - [j38]Junhai Zhai, Dandan Song:
Optimal instance subset selection from big data using genetic algorithm and open source framework. J. Big Data 9(1): 87 (2022) - [j37]Junhai Zhai
Imbalanced data classification based on diverse sample generation and classifier fusion. Int. J. Mach. Learn. Cybern. 13(3): 735-750 (2022) - [j36]Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai:
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. 123: 108383 (2022) - [j35]Junhai Zhai
Binary imbalanced big data classification based on fuzzy data reduction and classifier fusion. Soft Comput. 26(6): 2781-2792 (2022) - [c39]Wei Zhang, Yang Cao, Jun-Hai Zhai, Ziyao Mu, Shuai Zhang:
TempCast: A Multi-modal Transformer for Short-Term Temperature Forecasting. CCIS 2022: 469-473 - 2021
- [j34]Yu-Lin He, Xuan Ye, De-Fa Huang, Joshua Zhexue Huang, Jun-Hai Zhai:
Novel kernel density estimator based on ensemble unbiased cross-validation. Inf. Sci. 581: 327-344 (2021) - [j33]Junhai Zhai, Jiaxing Qi, Sufang Zhang:
An instance selection algorithm for fuzzy K-nearest neighbor. J. Intell. Fuzzy Syst. 40(1): 521-533 (2021) - [j32]Yingzhen Hou, Junhai Zhai
Coupled adversarial variational autoencoder. Signal Process. Image Commun. 98: 116396 (2021) - 2020
- [j31]Junhai Zhai
Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion. IEEE Access 8: 169456-169469 (2020) - [c38]Jun-Hai Zhai, Su-Fang Zhang, Mo-Han Wang, Yan Li:
A Three-stage Method for Classification of Binary Imbalanced Big Data. ICMLC 2020: 207-212 - [c37]Su-Fang Zhang, Jun-Hai Zhai, Shi Tian, Xiang Zhou, Yan Li:
Feature Selection for Big Data Based on Mapreduce and Voting Mechanism. ICMLC 2020: 213-218
2010 – 2019
- 2019
- [j30]Junhai Zhai, Xu Zhou, Sufang Zhang
Ensemble RBM-based classifier using fuzzy integral for big data classification. Int. J. Mach. Learn. Cybern. 10(11): 3327-3337 (2019) - [c36]Su-Fang Zhang, Jun-Hai Zhai, Bo-Jun Xie, Yan Zhan, Xin Wang:
Multimodal Representation Learning: Advances, Trends and Challenges. ICMLC 2019: 1-6 - 2018
- [j29]Junhai Zhai, Liguang Zang, Zhaoyi Zhou:
Ensemble dropout extreme learning machine via fuzzy integral for data classification. Neurocomputing 275: 1043-1052 (2018) - [j28]Junhai Zhai, Xizhao Wang, Sufang Zhang, Shao-Xing Hou:
Tolerance rough fuzzy decision tree. Inf. Sci. 465: 425-438 (2018) - [j27]Junhai Zhai, Sufang Zhang:
Three-way decisions model based on rough fuzzy set. J. Intell. Fuzzy Syst. 34(3): 2051-2059 (2018) - [j26]Sufang Zhang, Junhai Zhai, Tingting Wang, Pu Hao, Cong Wang, Chunling Zhao:
基于Spark的压缩近邻算法 (Spark Based Condensed Nearest Neighbor Algorithm). 计算机科学 45(6A): 406-410 (2018) - [j25]Junhai Zhai, Sufang Zhang, Mingyang Zhang, Xiaomeng Liu:
Fuzzy integral-based ELM ensemble for imbalanced big data classification. Soft Comput. 22(11): 3519-3531 (2018) - [c35]Su-Fang Zhang, Jun-Hai Zhai, Ding-Sheng Luo, Yan Zhan, Jun-Fen Chen:
Recent Advance On Generative Adversarial Networks. ICMLC 2018: 69-74 - [c34]Chu Shen, Su-Fang Zhang, Jun-Hai Zhai, Ding-Sheng Luo, Jun-Fen Chen:
Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder. ICMLC 2018: 399-404 - [c33]Junhai Zhai, Sufang Zhang, Junfen Chen, Qiang He:
Autoencoder and Its Various Variants. SMC 2018: 415-419 - 2017
- [j24]Junhai Zhai, Liguang Zang, Sufang Zhang:
在线序列主动学习方法 (Online Sequential Active Learning Approach). 计算机科学 44(1): 37-41 (2017) - [j23]Junhai Zhai, Mingyang Zhang, Tingting Wang, Pu Hao:
基于哈希技术和MapReduce的大数据集K-近邻算法 (K-Nearest Neighbor Algorithm Based on Hash Technology and MapRecuce). 计算机科学 44(7): 210-214 (2017) - [j22]Junhai Zhai, Yao Zhang, Hongyu Zhu:
Three-way decisions model based on tolerance rough fuzzy set. Int. J. Mach. Learn. Cybern. 8(1): 35-43 (2017) - [j21]Junhai Zhai, Sufang Zhang, Chenxi Wang:
The classification of imbalanced large data sets based on MapReduce and ensemble of ELM classifiers. Int. J. Mach. Learn. Cybern. 8(3): 1009-1017 (2017) - [c32]Jun-Hai Zhai, Liguang Zang, Su-Fang Zhang:
Some Insights Into Convolutional Neural Networks. ICMLC 2017: 123-129 - [c31]Pu Hao, Jun-Hai Zhai, Su-Fang Zhang:
A simple and effective method for image classification. ICMLC 2017: 230-235 - [c30]Bo Liu, Jun-Hai Zhai, Hai-Bo Liu:
Experimental comparison of two feature selection methods based on generic algorithm. ICMLC 2017: 241-245 - [c29]Tao Zhang, Fan Hu, Yian Deng, Junhai Zhai, Xihong Wu, Dingsheng Luo:
A hierarchical inverse model based on proprioception and DNN for robot reaching. IECON 2017: 6697-6702 - 2016
- [j20]Junhai Zhai, Qing-yan Shao, Xizhao Wang:
Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(3): 327-346 (2016) - [j19]Junhai Zhai, Xizhao Wang, Xiaohe Pang:
Voting-based instance selection from large data sets with MapReduce and random weight networks. Inf. Sci. 367-368: 1066-1077 (2016) - [j18]Jun-Hai Zhai, Ta Li, Xizhao Wang:
A cross-selection instance algorithm. J. Intell. Fuzzy Syst. 30(2): 717-728 (2016) - [j17]Junhai Zhai, Sufang Zhang, Yao Zhang:
An extension of rough fuzzy set. J. Intell. Fuzzy Syst. 30(6): 3311-3320 (2016) - [j16]Junhai Zhai, Wenxiu Zhao:
Ensemble of multiresolution probabilistic neural network classifiers with fuzzy integral for face recognition. J. Intell. Fuzzy Syst. 31(1): 405-414 (2016) - [j15]Junhai Zhai, Liguang Zang, Sufang Zhang:
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). 计算机科学 43(12): 125-129 (2016) - [j14]Qiang Liu, Jianping Yin, Victor C. M. Leung
Applying a new localized generalization error model to design neural networks trained with extreme learning machine. Neural Comput. Appl. 27(1): 59-66 (2016) - [j13]Junhai Zhai, Qing-yan Shao, Xizhao Wang:
Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes. Neural Process. Lett. 44(2): 471-489 (2016) - [c28]Yixin Cui, Junhai Zhai, Xizhao Wang:
Extreme learning machine based on cross entropy. ICMLC 2016: 1066-1071 - [c27]Zhi Wang, Junhai Zhai, Xizhao Wang:
Deep stochastic weight assignment network of Chinese chess machine game. ICMLC 2016: 1072-1077 - [c26]Fan Zhang, Jun-Hai Zhai, Xi-Zho Wang:
An experimental comparison between ELM and C4.5 for classification problems with symbolic attributes. ICMLC 2016: 1078-1083 - 2015
- [j12]Jun-Hai Zhai, Jinggeng Wang, Wenxiang Hu:
Combination of OSELM classifiers with fuzzy integral for large scale classification. J. Intell. Fuzzy Syst. 28(5): 2257-2268 (2015) - [j11]Junhai Zhai, Wenxiu Zhao:
软组合概率神经网络分类器人脸识别方法 (Soft Combination of Probabilistic Neural Network Classifiers for Face Recognition). 计算机科学 42(7): 305-308 (2015) - [c25]Sheng Xing, Junhai Zhai, Xiaolan Wang, Ming Yuan:
A new resampling method of imbalanced large data based on class boundary. ICMLC 2015: 826-831 - [c24]Jun-Hai Zhai, Shao-Xing Hou, Su-Fang Zhang:
Induction of tolerance rough fuzzy decision tree. ICMLC 2015: 843-848 - [c23]Hong Zhu, Jun-Hai Zhai, Su-Fang Zhang:
Research on ordinal regression of interval valued data. ICMLC 2015: 866-871 - [c22]Shanshan Wang, Jun-Hai Zhai, Su-Fang Zhang, Hong Zhu:
An Ordinal Random Forest and Its Parallel Implementation with MapReduce. SMC 2015: 2170-2173 - 2014
- [j10]Junhai Zhai, Meng-Yao Zhai, Xiao-Meng Kang:
Condensed fuzzy nearest neighbor methods based on fuzzy rough set technique. Intell. Data Anal. 18(3): 429-447 (2014) - [c21]Donghui Wang, Junhai Zhai, Hong Zhu, Xizhao Wang:
An Improved Approach to Ordinal Classification. ICMLC (CCIS volume) 2014: 33-42 - [c20]Jiankai Chen, Junhai Zhai, Xizhao Wang:
Study and Improvement of Ordinal Decision Trees Based on Rank Entropy. ICMLC (CCIS volume) 2014: 207-218 - [c19]Hong Zhu, Junhai Zhai, Shanshan Wang, Xizhao Wang:
Monotonic Decision Tree for Interval Valued Data. ICMLC (CCIS volume) 2014: 231-240 - [c18]Shanshan Wang, Junhai Zhai, Hong Zhu, Xizhao Wang:
Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce. ICMLC (CCIS volume) 2014: 241-251 - [c17]Junhai Zhai, Wenxiang Hu, Sufang Zhang:
A Two-Phase RBF-ELM Learning Algorithm. ICMLC (CCIS volume) 2014: 319-328 - [c16]Yao Zhang, Junhai Zhai, Sufang Zhang:
Tolerance Rough Fuzzy Approximation Operators and Their Properties. ICMLC (CCIS volume) 2014: 379-387 - [c15]Jun-Hai Zhai, Xi-Zhao Wang, Hua-Chao Wang:
Dynamic Ensemble of Rough Set Reducts for Data Classification. RSKT 2014: 642-649 - [c14]Jun-Hai Zhai, Jinggeng Wang, Xizhao Wang:
Ensemble online sequential extreme learning machine for large data set classification. SMC 2014: 2250-2255 - 2013
- [j9]Xi-Zhao Wang, Qing-yan Shao, Qing Miao, Jun-Hai Zhai:
Architecture selection for networks trained with extreme learning machine using localized generalization error model. Neurocomputing 102: 3-9 (2013) - [j8]Junhai Zhai, Meng-Yao Zhai, Chen-Yan Bai:
An improved algorithm for calculating fuzzy attribute reducts. J. Intell. Fuzzy Syst. 25(2): 303-313 (2013) - [c13]Junhai Zhai, Chang Li:
Sample Selection Based on K-L Divergence for Effectively Training SVM. SMC 2013: 4837-4842 - 2012
- [j7]Jun-Hai Zhai, Hong-Yu Xu, Xi-Zhao Wang:
Dynamic ensemble extreme learning machine based on sample entropy. Soft Comput. 16(9): 1493-1502 (2012) - [j6]Yingjie Li, Yan Li, Junhai Zhai, Simon C. K. Shiu
RTS game strategy evaluation using extreme learning machine. Soft Comput. 16(9): 1627-1637 (2012) - [c12]Jun-Hai Zhai, Hong-Yu Xui, Su-Fang Zhang, Na Li, Ta Li:
Instance selection based on supervised clustering. ICMLC 2012: 112-117 - [c11]Meng-Yao Zhai, Rui-Hua Yu, Su-Fang Zhang, Jun-Hai Zhai:
Feature selection based on extreme learning machine. ICMLC 2012: 157-162 - [c10]Jun-Hai Zhai, Li-Yan Wan, Meng-Yao Zhai:
Attribute reduction based on the principle of maximal dependency and minimal mutual information. ICMLC 2012: 272-276 - [c9]Xizhao Wang, Qing Miao, Meng-Yao Zhai, Junhai Zhai:
Instance selection based on sample entropy for efficient data classification with ELM. SMC 2012: 970-974 - 2011
- [j5]Jun-Hai Zhai:
Fuzzy decision tree based on fuzzy-rough technique. Soft Comput. 15(6): 1087-1096 (2011) - [c8]Qing-Shui Qiao, Haitao Wang, Zhen-Yu Wang, Jun-Hai Zhai:
CET4 passing rate analysis based on fuzzy decision tree induction and active learning. ICMLC 2011: 209-214 - [c7]Jun-Hai Zhai, Na Li, Meng-Yao Zhai:
The condensed fuzzy k-nearest neighbor rule based on sample fuzzy entropy. ICMLC 2011: 282-286 - [c6]Xiao-Meng Kang, Xiao-Peng Liu, Jun-Hai Zhai, Meng-Yao Zhai:
Instances selection for NN with fuzzy rough technique. ICMLC 2011: 1097-1100 - [c5]Yan Li, Jin Zhao, Na-Xin Sun, Xizhao Wang, Jun-Hai Zhai:
Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations. RSFDGrC 2011: 231-239 - [c4]Junhai Zhai, Yuanyuan Gao, Meng-Yao Zhai, Xizhao Wang:
Rough set model and its eight extensions. SMC 2011: 3512-3517 - 2010
- [c3]Jun-Hai Zhai, Chen-Yan Bai, Su-Fang Zhang:
Face recognition based on 2DPCA and fuzzy-rough technique. ICMLC 2010: 725-729
2000 – 2009
- 2009
- [c2]Ying Zhang, Xizhao Wang, Junhai Zhai:
A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions. RSFDGrC 2009: 382-389 - [c1]Shan Su, Xizhao Wang, Junhai Zhai:
An Improved Cluster Oriented Fuzzy Decision Trees. RSFDGrC 2009: 447-454 - 2008
- [j4]Xizhao Wang, Jun-Hai Zhai, Su-Fang Zhang:
A model of finite-step random walk with absorbent boundaries. Int. J. Comput. Math. 85(11): 1685-1696 (2008) - [j3]Xizhao Wang, Shu-Xia Lu, Jun-Hai Zhai:
Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description. Int. J. Pattern Recognit. Artif. Intell. 22(1): 109-120 (2008) - [j2]Xizhao Wang, Jun-Hai Zhai, Shu-Xia Lu:
Induction of multiple fuzzy decision trees based on rough set technique. Inf. Sci. 178(16): 3188-3202 (2008) - 2007
- [j1]Xizhao Wang, Su-Fang Zhang, Jun-Hai Zhai:
A Nonlinear Integral Defined on Partition and its Application to Decision Trees. Soft Comput. 11(4): 317-321 (2007)
Coauthor Index
Xizhao Wang
aka: Xi-Zhao Wang
aka: Xi-Zhao Wang
Su-Fang Zhang
aka: Sufang Zhang
aka: Sufang Zhang
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