Wen Wen - RankMe

47 papers A 1B 1C 2Misc 2Journal 28Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Temporal Recommendation Based on Adaptive Deep Matrix Factorization. IEEE Trans. Big Data Yali Feng, Zhifeng Hao, Wen Wen, Ruichu Cai
2025	J	`jnl`	Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation. ACM Trans. Intell. Syst. Technol. Shichao Liang, Wen Wen, Yali Feng, Ruichu Cai, Zhifeng Hao
2025	J	`jnl`	Time-aware tensor factorization for temporal recommendation. Appl. Intell. Yali Feng, Wen Wen, Zhifeng Hao, Ruichu Cai
2024	J	`jnl`	Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao
2024	J	`jnl`	Deep Structured State Learning for Next-Period Recommendation. IEEE Trans. Neural Networks Learn. Syst. Wen Wen, Fangyu Liang
2023	J	`jnl`	A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing Zhifeng Hao, Junbin Chen, Wen Wen, Biao Wu, Ruichu Cai
2023	J	`jnl`	Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai
2022	J	`jnl`	Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen
2022	—	`conf`	Fire Image Augmentation based on Diverse Alpha Compositing for Fire Detection. CISP-BMEI Chengming Liu, Yihui Liang, Wen Wen
2022	J	`jnl`	Motif-based memory networks for complex-factoid question answering. Neurocomputing Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai
2021	J	`jnl`	A coarse-to-fine user preferences prediction method for point-of-interest recommendation. Neurocomputing Liangqi Cai, Wen Wen, Biao Wu, Xiaowei Yang
2021	J	`jnl`	Semi-supervised disentangled framework for transferable named entity recognition. Neural Networks Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu
2020	J	`jnl`	Multi-context aware user-item embedding for recommendation. Neural Networks Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai
2020	J	`jnl`	Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. CoRR Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu
2019	J	`jnl`	A subgraph-representation-based method for answering complex questions over knowledge bases. Neural Networks Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai
2019	J	`jnl`	Embedding Logic Rules Into Recurrent Neural Networks. IEEE Access Bingfeng Chen, Zhifeng Hao, Xiaofeng Cai, Ruichu Cai, Wen Wen, Jian Zhu, Guangqiang Xie
2019	J	`jnl`	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 Wen Wen, Zetian Lin, Ruichu Cai, Zhifeng Hao, Lijuan Wang
2018	A	`conf`	HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams. ICWS Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen
2018	—	`conf`	Resource-Aware Stream Processing in High Performance Cloud Environment. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Yingchao Cheng, Zhifeng Hao, Ruichu Cai, Wen Wen, Lijuan Wang, Zhongrun Zhou
2018	J	`jnl`	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 Wen Wen, Ying Chen, Ruichu Cai, Zhifeng Hao, Lijuan Wang
2017	—	`conf`	A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog. CSE/EUC (1) Zhifeng Hao, Ruichu Cai, Yiyang Yang, Wen Wen, Lixin Liang
2017	J	`jnl`	Recognizing activities from partially observed streams using posterior regularized conditional random fields. Neurocomputing Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li
2016	—	`conf`	Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog. APWeb Workshops Bingfeng Chen, Zhifeng Hao, Ruichu Cai, Wen Wen, Shenzhi Du
2015	C	`conf`	A Semi-supervised Solution for Cold Start Issue on Recommender Systems. APWeb Zhifeng Hao, Yingchao Cheng, Ruichu Cai, Wen Wen, Lijuan Wang
2015	J	`jnl`	An improved clustering ensemble method based link analysis. World Wide Web Zhifeng Hao, Li-Juan Wang, Ruichu Cai, Wen Wen
2015	J	`jnl`	Causal discovery on high dimensional data. Appl. Intell. Zhifeng Hao, Hao Zhang, Ruichu Cai, Wen Wen, Zhihao Li
2015	J	`jnl`	Enhanced soft subspace clustering through hybrid dissimilarity. J. Intell. Fuzzy Syst. Lijuan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen
2015	—	`conf`	Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph. APWeb Workshops Wen Wen, Zhifeng Hao, Ruichu Cai
2015	J	`jnl`	Unsupervised Classification Method for Polarimetric Synthetic Aperture Radar Imagery Based on Yamaguchi Four-Component Decomposition Model. J. Electr. Comput. Eng. Sheng Sun, Renfeng Liu, Wen Wen
2014	—	`conf`	A Causal Model for Disease Pathway Discovery. ICONIP (1) Ruichu Cai, Chang Yuan, Zhifeng Hao, Wen Wen, Lijuan Wang, Weiqi Chen, Zhihao Li
2013	—	`conf`	A Hybrid Approach for Large Scale Causality Discovery. ICIC (3) Zhifeng Hao, Jinlong Huang, Ruichu Cai, Wen Wen
2013	Misc	`conf`	An improved local adaptive clustering ensemble based on link analysis. ICMLC Li-Juan Wang, Zhifeng Hao, Ruichu Cai, Wen Wen
2013	—	`conf`	Chinese Sentiment Classification Based on the Sentiment Drop Point. ICIC (3) Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang
2013	J	`jnl`	Product named entity recognition for Chinese query questions based on a skip-chain CRF model. Neural Comput. Appl. Zhifeng Hao, Hongfei Wang, Ruichu Cai, Wen Wen
2013	J	`jnl`	Regularized Gaussian Mixture Model based discretization for gene expression data association mining. Appl. Intell. Ruichu Cai, Zhifeng Hao, Wen Wen, Lijuan Wang
2012	—	`conf`	Alpha Matting Using Artificial Immune Network. ICSI (1) Zhifeng Hao, Jianming Liu, Xueming Yan, Wen Wen, Ruichu Cai
2012	Misc	`conf`	Gaussian process learning for image classification based on low-level features. ICNC Wen Wen, Zhifeng Hao, Ruichu Cai, Zhuangfeng Shao
2012	—	`conf`	Word similarity-based Schema Matching and its application in Chinese mobile phone information integration. FSKD Zhifeng Hao, Xin Zhang, Wen Wen, Ruichu Cai
2010	J	`jnl`	Kernel based gene expression pattern discovery and its application on cancer classification. Neurocomputing Ruichu Cai, Zhifeng Hao, Wen Wen, Han Huang
2010	J	`jnl`	Robust least squares support vector machine based on recursive outlier elimination. Soft Comput. Wen Wen, Zhifeng Hao, Xiaowei Yang
2009	J	`jnl`	An efficient gene selection algorithm based on mutual information. Neurocomputing Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen
2008	J	`jnl`	A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression. Neurocomputing Wen Wen, Zhifeng Hao, Xiaowei Yang
2007	B	`conf`	A Novel Gene Ranking Algorithm Based on Random Subspace Method. IJCNN Ruichu Cai, Zhifeng Hao, Wen Wen
2007	—	`conf`	Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm. ICANN (2) Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang
2006	C	`conf`	A Fast Data Preprocessing Procedure for Support Vector Regression. IDEAL Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang
2006	—	`conf`	A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. ICONIP (1) Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen
2006	—	`conf`	A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine. ISDA (1) Zhuangfeng Shao, Xiaowei Yang, Wen Wen, Zhifeng Hao