Xiaofei Zhou

According to our database, Xiaofei Zhou authored at least 38 papers between 2009 and 2025.

Collaborative distances:

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

2025

Spatial-angular enhanced network for light-field image super-resolution with geometry-assisted upsampling.

Deyang Liu, Shizheng Li, Yiren Chen, Peng Zhang, Xiaofei Zhou, Hainie Zha

J. Electronic Imaging, 2025

2022

Knowledge Graph Embedding by Double Limit Scoring Loss.

Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo

IEEE Trans. Knowl. Data Eng., 2022

Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism.

Wenya Li, Xiaofei Zhou, Xu Bai, Shirui Pan

Proceedings of the International Joint Conference on Neural Networks, 2022

Exploring Relational Semantics for Inductive Knowledge Graph Completion.

Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks.

Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo

IEEE Trans. Knowl. Data Eng., 2021

Direction Relation Transformer for Image Captioning.

Zeliang Song, Xiaofei Zhou, Linhua Dong, Jianlong Tan, Li Guo

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Self-Supervised Learning Framework for Sequential Recommendation.

Renqi Jia, Xu Bai, Xiaofei Zhou, Shirui Pan

Proceedings of the International Joint Conference on Neural Networks, 2021

Hypergraph Convolutional Network for Group Recommendation.

Renqi Jia, Xiaofei Zhou, Linhua Dong, Shirui Pan

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

IARNet: An Information Aggregating and Reasoning Network over Heterogeneous Graph for Fake News Detection.

Junshuai Yu, Qi Huang, Xiaofei Zhou, Ying Sha

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improving Abstractive Text Summarization with History Aggregation.

Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Relation-Specific Attention Network for Joint Entity and Relation Extraction.

Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Knowledge-Aware Attentional Reasoning Network for Recommendation.

Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A neural translating general hyperplane for knowledge graph embedding.

Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi

J. Comput. Sci., 2019

Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs.

Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multilingual Knowledge Graph Embeddings with Neural Networks.

Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo

Proceedings of the Data Science - 6th International Conference, 2019

DAN: Deep Attention Neural Network for News Recommendation.

Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Lightweight Convolutional Neural Network with SE Module for Image Super-Resolution.

Yuwen Wu, Xiaofei Zhou, Ping Liu, Jianlong Tan, Li Guo

Proceedings of the 6th International Conference on Information Technology and Quantitative Management, 2018

Learning Knowledge Graph Embeddings via Generalized Hyperplanes.

Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Ping Liu, Li Guo

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Learning Knowledge Embeddings by Combining Limit-based Scoring Loss.

Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Leveraging Latent Sentiment Constraint in Probabilistic Matrix Factorization for Cross-Domain Sentiment Classification.

Jiguang Liang, Kai Zhang, Xiaofei Zhou, Yue Hu, Jianlong Tan, Shuo Bai

Proceedings of the International Conference on Computational Science 2016, 2016

2015

Feature Selection for Sentiment Classification Using Matrix Factorization.

Jiguang Liang, Xiaofei Zhou, Li Guo, Shuo Bai

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Latent sentiment representation for sentiment feature selection.

Jiguang Liang, Xiaofei Zhou, Ping Liu, Li Guo

Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

Optimization-based model for determining words' sentiment orientations.

Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai

Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

Sentiment Word Identification with Sentiment Contextual Factors.

Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

Text Categorization based on Clustering Feature Selection.

Xiaofei Zhou, Yue Hu, Li Guo

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Text Feature Selection Based on Class Subspace.

Xiaofei Zhou, Li Guo, Tianyi Wang, Yue Hu

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

Latent Factor SVM for Text Categorization.

Xiaofei Zhou, Li Guo, Ping Liu, Yanbing Liu

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

CONR: A Novel Method for Sentiment Word Identification.

Jiguang Liang, Xiaofei Zhou, Yue Hu, Li Guo, Shuo Bai

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Unsupervised Clustering Strategy Based on Label Propagation.

Jiguang Liang, Xiaofei Zhou, Ying Sha, Ping Liu, Li Guo, Shuo Bai

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Dependency Expansion Model for Sentiment Lexicon Extraction.

Jiguang Liang, Jianlong Tan, Xiaofei Zhou, Ping Liu, Li Guo, Shuo Bai

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013

2011

Credit risk evaluation with kernel-based affine subspace nearest points learning method.

Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian

Expert Syst. Appl., 2011

2010

Credit risk evaluation by using nearest subspace method.

Xiaofei Zhou, Wenhan Jiang, Yong Shi

Proceedings of the International Conference on Computational Science, 2010

Kernel subclass convex hull sample selection method for SVM on face recognition.

Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi

Neurocomputing, 2010

Subspace Distance-Based Sampling Method for SVM.

Xiaofei Zhou, Yong Shi

Proceedings of the ICDMW 2010, 2010

2009

A New Kernel-Based Classification Algorithm.

Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi

Proceedings of the ICDM 2009, 2009

Nearest Neighbor Convex Hull Classification Method for Face Recognition.

Xiaofei Zhou, Yong Shi

Proceedings of the Computational Science, 2009

Affine Subspace Nearest Points Classification Algorithm for Wavelet Face Recognition.

Xiaofei Zhou, Yong Shi

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A New Classification Method for PCA-Based Face Recognition.

Xiaofei Zhou, Yong Shi, Peng Zhang, Guangli Nie, Wenhan Jiang

Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009