1 文益民, 员喆, 余航. 一种新的半监督归纳迁移学习框架:Co-Transfer[J]. 计算机研究与发展,2022,DOI:10.7544/issn1000-1239.20220232
2 文益民,刘帅,缪裕青,易新河,刘长杰.概念漂移数据流半监督分类综述[J].软件学报, 2022,33(4):1287−1314. DOI:10.13328/j.cnki.jos.006476 Yimin Wen, Shuai Liu, Xinhe Yi, Yuqin Miao,
Changjie Liu, Survey on Semi-supervised Classification of Data
Streams with Concept Drifts[J], Ruan Jian Xue Bao/Journal of Software, 2022,34(4): 1287−1314 DOI:10.13328/j.cnki.jos.006476(In Chinese)
3 Yimin Wen, Haiyang Yi, Zhihang Fan, Zhu Xu,
Yun Xue, and Yujian Li. Gallery-Sensitive Single Sample Face Recognition Based
on Domain Adaptation[J]. Neurocomputing, 2021,458(11):
626-638. DOI:10.1016/j.neucom.2020.06.136
4 Yimin Wen,Shuai Liu. Semi-supervised classification of data
streams by BIRCH ensemble and local structure mapping[J]. Journal of Computer
Science and Technology,2020,35(2):295-304. DOI: 10.1007/s11390-020-9999-y
5 Yimin Wen, Ye Tian,
Boxi Wen, et al. Consideration of the Local Correlation of Learning Behaviors
to Predict Dropouts from MOOCs[J]. Tsinghua Science and Technology, 2020,25(3):336-347.
DOI: 10.26599/TST.2019.9010013.
6 Yimin Wen, Yixiu Qin,
Keke Qin, et al. Online Transfer Learning with Multiple Decision Trees[J].
International Journal of Machine Learning and Cybernetics. 2019,10(10): 2941–2962. DOI:10.1007/s13042-019-00998-3
7
唐诗淇,文益民,秦一休. 一种基于局部分类精度的多源在线迁移学习算法[J].软件学报,2017,28(11): 2940-2960 Tang SQ, Wen
YM, Qin YX. Online transfer learning from multiple sources based on local
classification accuracy. Ruan Jian Xue Bao/Journal of Software,
2017,28(11):2940−2960 (in Chinese).
8 文益民,唐诗淇,冯超,高凯. 基于在线迁移学习的重现概念漂移数据流分类[J].计算机研究与发展,2016,53(8):1781-1791 Wen Yimin, Tang
Shiqi, Feng Chao,Gao Kai. Online Transfer Learning for Mining Recurring Concept
in Data Stream Classification. Journal of Computer Research and Development,
2016, 53(8): 1781-1791
9
Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin
Wen, Guangquan Zhang. Meta-ADD: A meta-learning based pre-trained model for
concept drift active detection[J]. Information Sciences, 2022,(608):996-1009. DOI:
10.1016/j.ins.2022.07.022
10
Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng
Luo, Guangquan Zhang. Detecting Group Concept Drift from Multiple Data Streams[J].
Pattern Recognition, 2023, 134, DOI:10.1016/j.patcog.2022.109113
11
Qianjin Wei, Yongheng Qiu, Yimin Wen. Cluster-based
spatiotemporal dual self-adaptive network for short-term subway passenger flow
forecasting[J], Applied Intelligence,2022, DOI:10.1007/s10489-022-03305-w
12 危前进, 魏继鹏, 古天龙, 常亮, 文益民. 基于云计算和蚁群优化的多目标并行属性约简法[J], 软件学报, 2022, 33(07): 2599-2617.
13 Wei Qianjin, Wang Chengxian, Wen Yimin. Minimum attribute reduction algorithm based on quick
extraction and multi-strategy social spider optimization[J], Journal of Intelligent & Fuzzy Systems, 2021, 40(6): 12023-12038.
DOI: 10.3233/JIFS-210133
14
Guoyong Cai, Guangrui
Lyu, Yuming Lin, Yimin Wen, Multi-level Deep Correlative Networks for
Multi-modal Sentiment Analysis[J]. Chinese Journal of Electronics,
2020,29(6):1025-1038 DOI: 10.1049/cje.2020.09.003
15
Pingshan Liu, Yaqing Fan, Xiaoyi Xiong, Yimin
Wen and Dianjie Lu, MOPSO-based Data Scheduling Scheme for P2P Streaming
Systems[J]. KSII Transactions on Internet and Information
Systems[J],2019,13(10):5013-5034,DOI:10.3837/tiis.2019.10.011.
16
Zhi Xu, Guoyong Cai,Yimin Wen, etal. Image set-based classification using collaborative exemplars representation[J].
Signal, Image and Video Processing,
2018,12(4): 607-615. DOI: 10.1007/s11760-017-1198-0
17
Haiyang Yi, Zhi Xu, Yimin Wen,
Zhigang Fan. Multi-source Domain Adaptation for Face Recognition[C]//The proc
of the 24th International Conference on Pattern Recognition(ICPR), Beijing, China, 2018:1349-1354
18
Jiping Wei, Qianjin Wei, Yimin
Wen. Attribute Reduction Based on Improved Information Gain Rate and Ant
Colony Optimization[C]//Proceedings of the 22th Pacific-Asia Conference on
Knowledge Discovery and Data Mining(PAKDD), Melbourne, Australia: Spring Verlag, Lecture notes in artificial
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19
Keke Qin, Yimin Wen. Semi-Supervised Classification of
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Tian Y, Wen YM,
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21
Zhongwei Shi, Yimin Wen, Yun Xue,
Guoyong Cai. Efficient class incremental learning of multi-label classification
for evolving data streams[C]// The 2014 International Joint Conference on
Neural Networks (IJCNN), Beijin: IEEE Press, 2014,2093-2099
22
Zhongwei Shi, Yimin Wen, Chao Feng,
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and Entropy[C]// IEEE International Conference on Data Mining - Workshops (ICDMW14),Shenzhen:IEEE
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23
Shaoliang Shi, Yimin Wen, Yunpeng Li, Wu Xie. Adding the Sentiment
Attribute of Nodes to Improve Link Prediction in Social Network[C]//The 12th International Conference on Fuzzy Systems and
Knowledge Discovery (FSKD 2015), Zhangjiajie:IEEE Press,
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