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ORCIDWen Wen 0009
Person information
- affiliation: Guangdong University of Technology, Guangzhou, China
Other persons with the same name
- Wen Wen — disambiguation page
- Wen Wen 0001
![[0009-0000-4068-1427]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0000-4068-1427")
— China Education and Research Network, Beijing, China - Wen Wen 0002 — McCombs School of Business, University of Texas at Austin, Austin, TX, USA
- Wen Wen 0003 — University of Pittsburgh, Pittsburgh, PA, USA
- Wen Wen 0004 — Dalian University of Technology, Dalian, Liaoning, China
- Wen Wen 0005 — Tianjin University, Tianjin, China
- Wen Wen 0006 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Wen Wen 0007 — City University of Hong Kong, Hong Kong, SAR, China
- Wen Wen 0008 — Leiden University, The Netherlands
- Wen Wen 0010 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Wen Wen 0011 — Beijing University of Posts and Telecommunications, Beijing, China
- Wen Wen 0012 — Rikkyo University, Tokyo, Japan
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2020 – today
- 2026
[j27]Yali Feng, Zhifeng Hao, Wen Wen, Ruichu Cai:
Temporal Recommendation Based on Adaptive Deep Matrix Factorization. IEEE Trans. Big Data 12(1): 288-300 (2026)- 2025
- [j26]Yali Feng, Wen Wen, Zhifeng Hao, Ruichu Cai:
Time-aware tensor factorization for temporal recommendation. Appl. Intell. 55(1): 36 (2025) - [j25]Shichao Liang, Wen Wen, Yali Feng, Ruichu Cai, Zhifeng Hao:
Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation. ACM Trans. Intell. Syst. Technol. 16(4): 92:1-92:23 (2025) - 2024
- [j24]Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao:
Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. 56(1): 40 (2024) - [j23]Wen Wen, Fangyu Liang:
Deep Structured State Learning for Next-Period Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35(1): 680-692 (2024) - 2023
- [j22]Zhifeng Hao, Junbin Chen, Wen Wen, Biao Wu, Ruichu Cai:
A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing 538: 126178 (2023) - [j21]Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai:
Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks 159: 84-96 (2023) - 2022
- [j20]Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen:
Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. 210: 118374 (2022) - [j19]Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai:
Motif-based memory networks for complex-factoid question answering. Neurocomputing 485: 12-21 (2022) - [c19]Chengming Liu, Yihui Liang, Wen Wen:
Fire Image Augmentation based on Diverse Alpha Compositing for Fire Detection. CISP-BMEI 2022: 1-6 - 2021
- [j18]Liangqi Cai, Wen Wen, Biao Wu, Xiaowei Yang:
A coarse-to-fine user preferences prediction method for point-of-interest recommendation. Neurocomputing 422: 1-11 (2021) - [j17]Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-supervised disentangled framework for transferable named entity recognition. Neural Networks 135: 127-138 (2021) - 2020
- [j16]Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai:
Multi-context aware user-item embedding for recommendation. Neural Networks 124: 86-94 (2020) - [i1]Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. CoRR abs/2012.11805 (2020)
2010 – 2019
- 2019
- [j15]Bingfeng Chen, Zhifeng Hao, Xiaofeng Cai, Ruichu Cai, Wen Wen, Jian Zhu, Guangqiang Xie:
Embedding Logic Rules Into Recurrent Neural Networks. IEEE Access 7: 14938-14946 (2019) - [j14]Wen Wen, Zetian Lin, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
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 46(10): 32-38 (2019) - [j13]Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai:
A subgraph-representation-based method for answering complex questions over knowledge bases. Neural Networks 119: 57-65 (2019) - 2018
- [j12]Wen Wen, Ying Chen, Ruichu Cai, Zhifeng Hao, Lijuan Wang:
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 45(8): 191-197 (2018) - [c18]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen:
HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. ICWS 2018: 319-322 - [c17]Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou:
Resource-Aware Stream Processing in High Performance Cloud Environment. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 381-388 - 2017
- [j11]Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li:
Recognizing activities from partially observed streams using posterior regularized conditional random fields. Neurocomputing 260: 294-301 (2017) - [c16]Zhifeng Hao, Ruichu Cai, Yiyang Yang, Wen Wen, Lixin Liang:
A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog. CSE/EUC (1) 2017: 135-142 - 2016
- [c15]Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du:
Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. APWeb Workshops 2016: 29-41 - 2015
- [j10]Zhifeng Hao, Hao Zhang, Ruichu Cai, Wen Wen, Zhihao Li:
Causal discovery on high dimensional data. Appl. Intell. 42(3): 594-607 (2015) - [j9]Sheng Sun, Renfeng Liu, Wen Wen:
Unsupervised Classification Method for Polarimetric Synthetic Aperture Radar Imagery Based on Yamaguchi Four-Component Decomposition Model. J. Electr. Comput. Eng. 2015: 680715:1-680715:6 (2015) - [j8]Lijuan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
Enhanced soft subspace clustering through hybrid dissimilarity. J. Intell. Fuzzy Syst. 29(4): 1395-1405 (2015) - [j7]Zhifeng Hao, Li-Juan Wang, Ruichu Cai, Wen Wen:
An improved clustering ensemble method based link analysis. World Wide Web 18(2): 185-195 (2015) - [c14]Wen Wen, Zhifeng Hao, Ruichu Cai:
Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. APWeb Workshops 2015: 54-70 - [c13]Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
A Semi-supervised Solution for Cold Start Issue on Recommender Systems. APWeb 2015: 805-817 - 2014
- [c12]Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li:
A Causal Model for Disease Pathway Discovery. ICONIP (1) 2014: 350-357 - 2013
- [j6]Ruichu Cai, Zhifeng Hao, Wen Wen, Lijuan Wang:
Regularized Gaussian Mixture Model based discretization for gene expression data association mining. Appl. Intell. 39(3): 607-613 (2013) - [j5]Zhifeng Hao, Hongfei Wang, Ruichu Cai, Wen Wen:
Product named entity recognition for Chinese query questions based on a skip-chain CRF model. Neural Comput. Appl. 23(2): 371-379 (2013) - [c11]Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen:
A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) 2013: 1-6 - [c10]Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang:
Chinese Sentiment Classification Based on the Sentiment Drop Point. ICIC (3) 2013: 55-60 - [c9]Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen:
An improved local adaptive clustering ensemble based on link analysis. ICMLC 2013: 10-15 - 2012
- [c8]Zhifeng Hao, Xin Zhang, Wen Wen, Ruichu Cai:
Word similarity-based Schema Matching and its application in Chinese mobile phone information integration. FSKD 2012: 1176-1180 - [c7]Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao:
Gaussian process learning for image classification based on low-level features. ICNC 2012: 237-241 - [c6]Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen, Ruichu Cai:
Alpha Matting Using Artificial Immune Network. ICSI (1) 2012: 300-309 - 2010
- [j4]Ruichu Cai, Zhifeng Hao, Wen Wen, Han Huang:
Kernel based gene expression pattern discovery and its application on cancer classification. Neurocomputing 73(13-15): 2562-2570 (2010) - [j3]Wen Wen, Zhifeng Hao, Xiaowei Yang:
Robust least squares support vector machine based on recursive outlier elimination. Soft Comput. 14(11): 1241-1251 (2010)
2000 – 2009
- 2009
- [j2]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen:
An efficient gene selection algorithm based on mutual information. Neurocomputing 72(4-6): 991-999 (2009) - 2008
- [j1]Wen Wen, Zhifeng Hao, Xiaowei Yang:
A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression. Neurocomputing 71(16-18): 3096-3103 (2008) - 2007
- [c5]Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang:
Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm. ICANN (2) 2007: 603-610 - [c4]Ruichu Cai, Zhifeng Hao, Wen Wen:
A Novel Gene Ranking Algorithm Based on Random Subspace Method. IJCNN 2007: 219-223 - 2006
- [c3]Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen:
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. ICONIP (1) 2006: 773-781 - [c2]Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang:
A Fast Data Preprocessing Procedure for Support Vector Regression. IDEAL 2006: 48-56 - [c1]Zhuangfeng Shao, Xiaowei Yang, Wen Wen, Zhifeng Hao:
A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine. ISDA (1) 2006: 167-171
Coauthor Index
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