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2020 – today
- 2024
[j14]Chenzhong Bin, Wenqiang Liu, Hantao Ding, Yimin Wen:
A multi-view heterogeneous knowledge learning method for personalized POI recommendation. J. Intell. Fuzzy Syst. 46(4): 7763-7777 (2024)- [j13]Chenzhong Bin, Weiliang Li, Fangjian Wu, Liang Chang, Yimin Wen:
Multi-behavior-based graph contrastive learning recommendation. Knowl. Inf. Syst. 66(6): 3477-3496 (2024) - [j12]Yimin Wen
, Xiang Liu, Hang Yu:
Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts. Knowl. Based Syst. 293: 111636 (2024) - [c22]Wenhui Huang, Shaoliang Shi, Yimin Wen:
Focusing on diacritics to improve Vietnamese scene text detection. IJCNN 2024: 1-8 - 2023
- [j11]Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang:
Detecting group concept drift from multiple data streams. Pattern Recognit. 134: 109113 (2023) - [c21]Shilun Ma, Wei Kang, Yun Xue, Yimin Wen:
Semi-supervised Classification on Data Streams with Recurring Concept Drift Based on Conformal Prediction. ICONIP (15) 2023: 355-366 - [c20]Xingzhi Zhou, Xiang Liu, Yimin Wen:
Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts. IDEAL 2023: 406-417 - [c19]Yuqing Miao, Chenggang Lu, Tonglai Liu, Wanzhen Zhang, Yimin Wen, Ming Zhou:
Empathetic Dialogue Generation with Contrastive Learning and Multi-Source Information Fusion. PAAP 2023: 1-6 - [c18]Yuqing Miao, Gaowei Zhu, Tonglai Liu, Wanzhen Zhang, Yimin Wen, Ming Zhou:
Multimodal Sentiment Analysis based on Supervised Contrastive Learning and Cross-modal Translation under Modalities Missing*. PAAP 2023: 1-6 - 2022
- [j10]Qianjin Wei, Yongheng Qiu, Yimin Wen:
Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting. Appl. Intell. 52(12): 14137-14152 (2022) - [j9]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. Inf. Sci. 608: 996-1009 (2022) - 2021
- [j8]Yimin Wen, Haiyang Yi, Zhigang Fan, Zhi Xu, Yun Xue, Yujian Li:
Gallery-sensitive single sample face recognition based on domain adaptation. Neurocomputing 458: 626-638 (2021) - [j7]Qianjin Wei, Chengxian Wang, Yimin Wen:
Minimum attribute reduction algorithm based on quick extraction and multi-strategy social spider optimization. J. Intell. Fuzzy Syst. 40(6): 12023-12038 (2021) - [c17]Libing Wang, Li He, Junyu Li, Deane Zeng, Yimin Wen:
T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning. IDEAL 2021: 625-636 - [i1]Zhe Yuan, Yimin Wen:
A new semi-supervised inductive transfer learning framework: Co-Transfer. CoRR abs/2108.07930 (2021) - 2020
- [c16]Yimin Wen, Qi Zhou, Yun Xue, Chao Feng:
Transfer Learning for Semi-supervised Classification of Non-stationary Data Streams. ICONIP (5) 2020: 468-477 - [c15]Changjie Liu, Yimin Wen, Yun Xue:
Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering. ICONIP (2) 2020: 639-650
2010 – 2019
- 2019
- [j6]Pingshan Liu, Yaqing Fan, Xiaoyi Xiong, Yimin Wen, Dianjie Lu:
MOPSO-based Data Scheduling Scheme for P2P Streaming Systems. KSII Trans. Internet Inf. Syst. 13(10): 5013-5034 (2019) - [j5]Yixiu Qin, Yimin Wen, Qian He:
概念漂移数据流分类中的多源在线迁移学习算法 (Multi-source Online Transfer Learning Algorithm for Classification of Data Streams with Concept Drift). 计算机科学 46(1): 64-72 (2019) - [j4]Yimin Wen, Yixiu Qin, Keke Qin, Xiaoxia Lu, Pingshan Liu:
Online transfer learning with multiple decision trees. Int. J. Mach. Learn. Cybern. 10(10): 2941-2962 (2019) - 2018
- [j3]Zhi Xu, Guoyong Cai, Yimin Wen, Dongdong Chen, Liyao Han:
Image set-based classification using collaborative exemplars representation. Signal Image Video Process. 12(4): 607-615 (2018) - [c14]Haiyang Yi, Zhi Xu, Yimin Wen, Zhigang Fan:
Multi-source Domain Adaptation for Face Recognition. ICPR 2018: 1349-1354 - [c13]Jipeng Wei, Qianjin Wei, Yimin Wen:
Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization. PAKDD (3) 2018: 139-150 - 2017
- [c12]Pingshan Liu, Xiaoyi Xiong, Guimin Huang, Yimin Wen:
A multi-objective particle swarm optimization data scheduling algorithm for peer-to-peer video streaming. ICNC-FSKD 2017: 278-285 - [c11]Ye Tian, Yimin Wen, Xinhe Yi, Xi Yang, Yuqing Miao:
Predicting Learning Effect by Learner's Behavior in MOOCs. IDEAL 2017: 524-533 - [e1]Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang:
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings. Lecture Notes in Computer Science 10585, Springer 2017, ISBN 978-3-319-68934-0 [contents] - 2016
- [j2]Kun Qian, Fang Li, Yimin Wen:
基于颜色和空间距离的显著性区域固定阈值分割算法 (Color and Space Distance Based Salient Region Detection Using Fixed Threshold Segmentation). 计算机科学 43(1): 103-106 (2016) - 2015
- [j1]Zhongwei Shi, Yimin Wen:
基于概率相关性的多标签数据流变化检测 (Detection of Multi-label Data Streams Change Based on Probability of Relevance). 计算机科学 42(8): 60-64 (2015) - [c10]Shaoliang Shi, Yunpeng Li, Yimin Wen, Wu Xie:
Adding the sentiment attribute of nodes to improve link prediction in social network. FSKD 2015: 1263-1269 - 2014
- [c9]Zhongwei Shi, Yimin Wen, Chao Feng, Hai Zhao:
Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy. ICDM Workshops 2014: 724-731 - [c8]Zhongwei Shi, Yun Xue, Yimin Wen, Guoyong Cai:
Efficient class incremental learning for multi-label classification of evolving data streams. IJCNN 2014: 2093-2099 - 2013
- [c7]Yifan Shi, Yimin Wen, Zhigang Fan, Yuqing Miao:
Predicting the Next Scenic Spot a User Will Browse on a Tourism Website Based on Markov Prediction Model. ICTAI 2013: 195-200 - [c6]Yuqing Miao, Liangpei Qiu, Hong Chen, Jingxin Zhang, Yimin Wen:
Novel Class Detection within Classification for Data Streams. ISNN (2) 2013: 413-420 - [c5]Yuqing Miao, Jinxing Zhang, Hao Feng, Liangpei Qiu, Yimin Wen:
A Fast Algorithm for Clustering with MapReduce. ISNN (1) 2013: 532-538
2000 – 2009
- 2007
- [c4]Yimin Wen, Bao-Liang Lu:
A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines. ISNN (3) 2007: 525-534 - [c3]Yimin Wen, Bao-Liang Lu:
Incremental Learning of Support Vector Machines by Classifier Combining. PAKDD 2007: 904-911 - 2005
- [c2]Yimin Wen, Bao-Liang Lu:
A Hierarchical and Parallel Method for Training Support Vector Machines. ISNN (1) 2005: 881-886 - 2004
- [c1]Yimin Wen, Bao-Liang Lu:
A Cascade Method for Reducing Training Time and the Number of Support Vectors. ISNN (1) 2004: 480-486
Coauthor Index
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last updated on 2024-09-21 02:42 CEST by the dblp team
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