Rui Liu

According to our database, Rui Liu authored at least 36 papers between 2008 and 2024.

Collaborative distances:

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

2024

Heterogeneous graph convolutional network for multi-view semi-supervised classification.

Shiping Wang, Sujia Huang, Zhihao Wu, Rui Liu, Yong Chen, Dell Zhang

Neural Networks, 2024

FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning.

Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu

CoRR, 2024

AVHash: Joint Audio-Visual Hashing for Video Retrieval.

Yuxiang Zhou, Zhe Sun, Rui Liu, Yong Chen, Dell Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Large Model based Sequential Keyframe Extraction for Video Summarization.

Kailong Tan, Yuxiang Zhou, Qianchen Xia, Rui Liu, Yong Chen

Proceedings of the International Conference on Computing, 2024

Exploring High-Order User Preference with Knowledge Graph for Recommendation.

Caijun Xu, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Rui Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning.

Rui Liu, Bin Yin, Ziyi Cao, Qianchen Xia, Yong Chen, Dell Zhang

CoRR, 2023

2022

TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence.

Wang Qi, Rui Liu, Yuan Zuo, Yong Chen, Dell Zhang

CoRR, 2022

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.

Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Using Query Expansion in Manifold Ranking for Query-Oriented Multi-document Summarization.

Quanye Jia, Rui Liu, Jianying Lin

Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

2020

Affinity Regularized Non-Negative Matrix Factorization for Lifelong Topic Modeling.

Yong Chen, Junjie Wu, Jianying Lin, Rui Liu, Hui Zhang, Zhiwen Ye

IEEE Trans. Knowl. Data Eng., 2020

HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network.

Rui Liu, Huilin Peng, Yong Chen, Dell Zhang

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

2019

Online delivery route recommendation in spatial crowdsourcing.

Dezhi Sun, Ke Xu, Hao Cheng, Yuanyuan Zhang, Tianshu Song, Rui Liu, Yi Xu

World Wide Web, 2019

Experimental explorations on short text topic mining between LDA and NMF based Schemes.

Yong Chen, Hui Zhang, Rui Liu, Zhiwen Ye, Jianying Lin

Knowl. Based Syst., 2019

EDOA: an efficient delay optimization approach for mixed-polarity Reed-Muller logic circuits under the unit delay model.

Zhenxue He, Limin Xiao, Fei Gu, Li Ruan, Zhisheng Huo, Mingzhe Li, Mingfa Zhu, Longbing Zhang, Rui Liu, Xiang Wang

Frontiers Comput. Sci., 2019

Joint Lifelong Topic Model and Manifold Ranking for Document Summarization.

Jianying Lin, Rui Liu, Quanye Jia

CoRR, 2019

Graph Regularized Non-negative Matrix Factorization with Long-tail Constraint.

Lu You, Rui Liu, He Zhang, Z. M. Shan

Proceedings of the IEEE Pacific Rim Conference on Communications, 2019

Regularized Non-Negative Spectral Embedding for Clustering.

Yifei Wang, Rui Liu, Yong Chen, Hui Zhang, Zhiwen Ye

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Regularized Semi-non-negative Matrix Factorization for Hashing.

Yong Chen, Hui Zhang, Xiaopeng Zhang, Rui Liu

IEEE Trans. Multim., 2018

Soft orthogonal non-negative matrix factorization with sparse representation: Static and dynamic.

Yong Chen, Hui Zhang, Rui Liu, Zhiwen Ye

Neurocomputing, 2018

Attention-Based Combination of CNN and RNN for Relation Classification.

Xiaoyu Guo, Hui Zhang, Rui Liu, Xin Ding, Runqi Tian, Bencheng Wang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

A General Cross-Domain Recommendation Framework via Bayesian Neural Network.

Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

A Power and Area Optimization Approach of Mixed Polarity Reed-Muller Expression for Incompletely Specified Boolean Functions.

Zhenxue He, Limin Xiao, Li Ruan, Fei Gu, Zhisheng Huo, Guangjun Qin, Mingfa Zhu, Longbing Zhang, Rui Liu, Xiang Wang

J. Comput. Sci. Technol., 2017

Enhancing constraint based test generation by local search.

Mengxiang Lin, Xiaomei Hou, Rui Liu, Linyan Ge

Proceedings of the 6th International Conference on Software and Computer Applications, 2017

Discriminatively Local Hashing for Preserving Semantic Manifold.

Xiaopeng Zhang, Hui Zhang, Rui Liu, Yong Chen, Zhiwen Ye

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

From Top to Down Hierarchical Classification Process with the Candidates' Strategy.

Jianying Lin, Rui Liu, Quanye Jia, Yahui Zhao

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

Unsupervised feature selection through Gram-Schmidt orthogonalization - A word co-occurrence perspective.

Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang

Neurocomputing, 2016

Transfer Learning by Linking Similar Feature Clusters for Sentiment Classification.

Wenjie Zhang, Hui Zhang, Deqing Wang, Rui Liu, He Zhang, Xianlin Jiang, Yong Chen

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Robust Word-Network Topic Model for Short Texts.

Fei Wang, Rui Liu, Yuan Zuo, Hui Zhang, He Zhang, Junjie Wu

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

EMA-FPRMs: An efficient minimization algorithm for fixed polarity Reed-Muller expressions.

Zhenxue He, Limin Xiao, Longbing Zhang, Fei Gu, Zhisheng Huo, Mingfa Zhu, Li Ruan, Rui Liu, Xiang Wang

Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

2015

GS-Orthogonalization Based "Basis Feature" Selection from Word Co-occurrence Matrix.

Deqing Wang, Hui Zhang, Rui Liu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Modeling Emerging, Evolving and Fading Topics Using Dynamic Soft Orthogonal NMF with Sparse Representation.

Yong Chen, Hui Zhang, Junjie Wu, Xingguang Wang, Rui Liu, Mengxiang Lin

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

t-Test feature selection approach based on term frequency for text categorization.

Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv, Datao Wang

Pattern Recognit. Lett., 2014

2012

Predicting Bugs' Components via Mining Bug Reports.

Deqing Wang, Hui Zhang, Rui Liu, Mengxiang Lin, Wenjun Wu

J. Softw., 2012

Feature selection based on term frequency and T-test for text categorization.

Deqing Wang, Hui Zhang, Rui Liu, Weifeng Lv

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2008

Web Object Mining Based on Entropy Pruning.

Kun Gao, Rui Liu, Deqing Wang

Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008

A No-Word-Segmentation Hierarchical Clustering Approach to Chinese Web Search Results.

Hui Zhang, Liping Zhao, Rui Liu, Deqing Wang

Proceedings of the Information Retrieval Technology, 2008