Wen Wen

Orcid: 0000-0002-0430-6686

Affiliations:
  • Guangdong University of Technology, Guangzhou, China


According to our database1, Wen Wen authored at least 46 papers between 2006 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Temporal Recommendation Based on Adaptive Deep Matrix Factorization.
IEEE Trans. Big Data, February, 2026

2025
Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation.
ACM Trans. Intell. Syst. Technol., August, 2025

Time-aware tensor factorization for temporal recommendation.
Appl. Intell., January, 2025

2024
Cross-KG Link Prediction by Learning Substructural Semantics.
Neural Process. Lett., February, 2024

Deep Structured State Learning for Next-Period Recommendation.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
A selection-pattern-aware recommendation model with colored-motif attention network.
Neurocomputing, June, 2023

Factorizing time-heterogeneous Markov transition for temporal recommendation.
Neural Networks, February, 2023

2022
Motif-based memory networks for complex-factoid question answering.
Neurocomputing, 2022

Double embedding-transfer-based multi-view spectral clustering.
Expert Syst. Appl., 2022

Fire Image Augmentation based on Diverse Alpha Compositing for Fire Detection.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Semi-supervised disentangled framework for transferable named entity recognition.
Neural Networks, 2021

A coarse-to-fine user preferences prediction method for point-of-interest recommendation.
Neurocomputing, 2021

2020
Multi-context aware user-item embedding for recommendation.
Neural Networks, 2020

2019
A subgraph-representation-based method for answering complex questions over knowledge bases.
Neural Networks, 2019

基于嵌入学习的用户动态偏好预测 (Predicting User's Dynamic Preference Based on Embedding Learning).
计算机科学, 2019

Embedding Logic Rules Into Recurrent Neural Networks.
IEEE Access, 2019

2018
基于多视角多标签学习的读者情绪分类 (Emotion Classification for Readers Based on Multi-view Multi-label Learning).
计算机科学, 2018

Resource-Aware Stream Processing in High Performance Cloud Environment.
Proceedings of the 2018 IEEE SmartWorld, 2018

HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

2017
Recognizing activities from partially observed streams using posterior regularized conditional random fields.
Neurocomputing, 2017

A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog.
Proceedings of the Web Technologies and Applications, 2016

2015
An improved clustering ensemble method based link analysis.
World Wide Web, 2015

Enhanced soft subspace clustering through hybrid dissimilarity.
J. Intell. Fuzzy Syst., 2015

Unsupervised Classification Method for Polarimetric Synthetic Aperture Radar Imagery Based on Yamaguchi Four-Component Decomposition Model.
J. Electr. Comput. Eng., 2015

Causal discovery on high dimensional data.
Appl. Intell., 2015

Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph.
Proceedings of the Web Technologies and Applications, 2015

A Semi-supervised Solution for Cold Start Issue on Recommender Systems.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
A Causal Model for Disease Pathway Discovery.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Product named entity recognition for Chinese query questions based on a skip-chain CRF model.
Neural Comput. Appl., 2013

Regularized Gaussian Mixture Model based discretization for gene expression data association mining.
Appl. Intell., 2013

An improved local adaptive clustering ensemble based on link analysis.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

A Hybrid Approach for Large Scale Causality Discovery.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Chinese Sentiment Classification Based on the Sentiment Drop Point.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2012
Alpha Matting Using Artificial Immune Network.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Gaussian process learning for image classification based on low-level features.
Proceedings of the Eighth International Conference on Natural Computation, 2012

Word similarity-based Schema Matching and its application in Chinese mobile phone information integration.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2010
Robust least squares support vector machine based on recursive outlier elimination.
Soft Comput., 2010

Kernel based gene expression pattern discovery and its application on cancer classification.
Neurocomputing, 2010

2009
An efficient gene selection algorithm based on mutual information.
Neurocomputing, 2009

2008
A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression.
Neurocomputing, 2008

2007
A Novel Gene Ranking Algorithm Based on Random Subspace Method.
Proceedings of the International Joint Conference on Neural Networks, 2007

Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm.
Proceedings of the Artificial Neural Networks, 2007

2006
A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

A Fast Data Preprocessing Procedure for Support Vector Regression.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression.
Proceedings of the Neural Information Processing, 13th International Conference, 2006


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