Yimin Wen

According to our database, Yimin Wen authored at least 38 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-behavior-based graph contrastive learning recommendation.

Chenzhong Bin, Weiliang Li, Fangjian Wu, Liang Chang, Yimin Wen

Knowl. Inf. Syst., June, 2024

Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts.

Yimin Wen, Xiang Liu, Hang Yu

Knowl. Based Syst., 2024

A multi-view heterogeneous knowledge learning method for personalized POI recommendation.

Chenzhong Bin, Wenqiang Liu, Hantao Ding, Yimin Wen

J. Intell. Fuzzy Syst., 2024

Focusing on diacritics to improve Vietnamese scene text detection.

Wenhui Huang, Shaoliang Shi, Yimin Wen

Proceedings of the International Joint Conference on Neural Networks, 2024

Vietnamese Scene Text Detection via Edge Information and Text Region Feature Enhancement.

Liyu Jiang, Shaoliang Shi, Wenhui Huang, Zhengli Xu, Vinh Loc Cu, Yimin Wen

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Detecting group concept drift from multiple data streams.

Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang

Pattern Recognit., 2023

Multimodal Sentiment Analysis based on Supervised Contrastive Learning and Cross-modal Translation under Modalities Missing^*.

Yuqing Miao, Gaowei Zhu, Tonglai Liu, Wanzhen Zhang, Yimin Wen, Ming Zhou

Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Empathetic Dialogue Generation with Contrastive Learning and Multi-Source Information Fusion.

Yuqing Miao, Chenggang Lu, Tonglai Liu, Wanzhen Zhang, Yimin Wen, Ming Zhou

Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts.

Xingzhi Zhou, Xiang Liu, Yimin Wen

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Semi-supervised Classification on Data Streams with Recurring Concept Drift Based on Conformal Prediction.

Shilun Ma, Wei Kang, Yun Xue, Yimin Wen

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Meta-ADD: A meta-learning based pre-trained model for concept drift active detection.

Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang

Inf. Sci., 2022

Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting.

Qianjin Wei, Yongheng Qiu, Yimin Wen

Appl. Intell., 2022

2021

Minimum attribute reduction algorithm based on quick extraction and multi-strategy social spider optimization.

Qianjin Wei, Chengxian Wang, Yimin Wen

J. Intell. Fuzzy Syst., 2021

Gallery-sensitive single sample face recognition based on domain adaptation.

Yimin Wen, Haiyang Yi, Zhigang Fan, Zhi Xu, Yun Xue, Yujian Li

Neurocomputing, 2021

A new semi-supervised inductive transfer learning framework: Co-Transfer.

Zhe Yuan, Yimin Wen

CoRR, 2021

T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning.

Libing Wang, Li He, Junyu Li, Deane Zeng, Yimin Wen

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

Transfer Learning for Semi-supervised Classification of Non-stationary Data Streams.

Yimin Wen, Qi Zhou, Yun Xue, Chao Feng

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering.

Changjie Liu, Yimin Wen, Yun Xue

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Online transfer learning with multiple decision trees.

Yimin Wen, Yixiu Qin, Keke Qin, Xiaoxia Lu, Pingshan Liu

Int. J. Mach. Learn. Cybern., 2019

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).

Yixiu Qin, Yimin Wen, Qian He

计算机科学, 2019

MOPSO-based Data Scheduling Scheme for P2P Streaming Systems.

Pingshan Liu, Yaqing Fan, Xiaoyi Xiong, Yimin Wen, Dianjie Lu

KSII Trans. Internet Inf. Syst., 2019

2018

Image set-based classification using collaborative exemplars representation.

Zhi Xu, Guoyong Cai, Yimin Wen, Dongdong Chen, Liyao Han

Signal Image Video Process., 2018

Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization.

Jipeng Wei, Qianjin Wei, Yimin Wen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Multi-source Domain Adaptation for Face Recognition.

Haiyang Yi, Zhi Xu, Yimin Wen, Zhigang Fan

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Predicting Learning Effect by Learner's Behavior in MOOCs.

Ye Tian, Yimin Wen, Xinhe Yi, Xi Yang, Yuqing Miao

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

A multi-objective particle swarm optimization data scheduling algorithm for peer-to-peer video streaming.

Pingshan Liu, Xiaoyi Xiong, Guimin Huang, Yimin Wen

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

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).

Kun Qian, Fang Li, Yimin Wen

计算机科学, 2016

2015

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).

Zhongwei Shi, Yimin Wen

计算机科学, 2015

Adding the sentiment attribute of nodes to improve link prediction in social network.

Shaoliang Shi, Yunpeng Li, Yimin Wen, Wu Xie

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014

Efficient class incremental learning for multi-label classification of evolving data streams.

Zhongwei Shi, Yun Xue, Yimin Wen, Guoyong Cai

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy.

Zhongwei Shi, Yimin Wen, Chao Feng, Hai Zhao

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

A Fast Algorithm for Clustering with MapReduce.

Yuqing Miao, Jinxing Zhang, Hao Feng, Liangpei Qiu, Yimin Wen

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Novel Class Detection within Classification for Data Streams.

Yuqing Miao, Liangpei Qiu, Hong Chen, Jingxin Zhang, Yimin Wen

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Predicting the Next Scenic Spot a User Will Browse on a Tourism Website Based on Markov Prediction Model.

Yifan Shi, Yimin Wen, Zhigang Fan, Yuqing Miao

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2007

Incremental Learning of Support Vector Machines by Classifier Combining.

Yimin Wen, Bao-Liang Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines.

Yimin Wen, Bao-Liang Lu

Proceedings of the Advances in Neural Networks, 2007

2005

A Hierarchical and Parallel Method for Training Support Vector Machines.

Yimin Wen, Bao-Liang Lu

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

A Cascade Method for Reducing Training Time and the Number of Support Vectors.

Yimin Wen, Bao-Liang Lu

Proceedings of the Advances in Neural Networks, 2004