Yimin Wen

Orcid: 0000-0001-5017-3987

According to our database1, Yimin Wen authored at least 37 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-behavior-based graph contrastive learning recommendation.
Knowl. Inf. Syst., June, 2024

Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts.
Knowl. Based Syst., 2024

A multi-view heterogeneous knowledge learning method for personalized POI recommendation.
J. Intell. Fuzzy Syst., 2024

Focusing on diacritics to improve Vietnamese scene text detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Detecting group concept drift from multiple data streams.
Pattern Recognit., 2023

Multimodal Sentiment Analysis based on Supervised Contrastive Learning and Cross-modal Translation under Modalities Missing<sup>*</sup>.
Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Empathetic Dialogue Generation with Contrastive Learning and Multi-Source Information Fusion.
Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts.
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.
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.
Inf. Sci., 2022

Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting.
Appl. Intell., 2022

2021
Minimum attribute reduction algorithm based on quick extraction and multi-strategy social spider optimization.
J. Intell. Fuzzy Syst., 2021

Gallery-sensitive single sample face recognition based on domain adaptation.
Neurocomputing, 2021

A new semi-supervised inductive transfer learning framework: Co-Transfer.
CoRR, 2021

T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020
Transfer Learning for Semi-supervised Classification of Non-stationary Data Streams.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Online transfer learning with multiple decision trees.
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).
计算机科学, 2019

MOPSO-based Data Scheduling Scheme for P2P Streaming Systems.
KSII Trans. Internet Inf. Syst., 2019

2018
Image set-based classification using collaborative exemplars representation.
Signal Image Video Process., 2018

Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Multi-source Domain Adaptation for Face Recognition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Predicting Learning Effect by Learner's Behavior in MOOCs.
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.
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).
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).
计算机科学, 2015

Adding the sentiment attribute of nodes to improve link prediction in social network.
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.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
A Fast Algorithm for Clustering with MapReduce.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Novel Class Detection within Classification for Data Streams.
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.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2007
Incremental Learning of Support Vector Machines by Classifier Combining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines.
Proceedings of the Advances in Neural Networks, 2007

2005
A Hierarchical and Parallel Method for Training Support Vector Machines.
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.
Proceedings of the Advances in Neural Networks, 2004


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