Ruizhang Huang

According to our database, Ruizhang Huang authored at least 56 papers between 2003 and 2024.

Collaborative distances:

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

2024

A structural consensus representation learning framework for multi-view clustering.

Ruina Bai, Ruizhang Huang, Yongbin Qin, Yanping Chen, Yong Xu

Knowl. Based Syst., January, 2024

A hierarchical convolutional model for biomedical relation extraction.

Ying Hu, Yanping Chen, Ruizhang Huang, Yongbin Qin, Qinghua Zheng

Inf. Process. Manag., January, 2024

A novel MRC framework for evidence extracts in judgment documents.

Yulin Zhou, Lijuan Liu, Yanping Chen, Ruizhang Huang, Yongbin Qin, Chuan Lin

Artif. Intell. Law, 2024

2023

Deep document clustering via adaptive hybrid representation learning.

Lina Ren, Yongbin Qin, Yanping Chen, Chuan Lin, Ruizhang Huang

Knowl. Based Syst., December, 2023

Enhancing interaction representation for joint entity and relation extraction.

Ruixue Tang, Yanping Chen, Ruizhang Huang, Yongbin Qin

Cogn. Syst. Res., December, 2023

Learning entity-oriented representation for biomedical relation extraction.

Ying Hu, Yanping Chen, Yongbin Qin, Ruizhang Huang

J. Biomed. Informatics, November, 2023

Boundary regression model for joint entity and relation extraction.

Ruixue Tang, Yanping Chen, Yongbin Qin, Ruizhang Huang, Qinghua Zheng

Expert Syst. Appl., November, 2023

Criminal Action Graph: A semantic representation model of judgement documents for legal charge prediction.

Geya Feng, Yongbin Qin, Ruizhang Huang, Yanping Chen

Inf. Process. Manag., September, 2023

Deep structural enhanced network for document clustering.

Lina Ren, Yongbin Qin, Yanping Chen, Ruina Bai, Jingjing Xue, Ruizhang Huang

Appl. Intell., May, 2023

HVAE: A deep generative model via hierarchical variational auto-encoder for multi-view document modeling.

Ruina Bai, Ruizhang Huang, Yongbin Qin, Yanping Chen, Chuan Lin

Inf. Sci., April, 2023

A Boundary Regression Model for Nested Named Entity Recognition.

Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen

Cogn. Comput., March, 2023

Intention-guided deep semi-supervised document clustering via metric learning.

Jingnan Li, Chuan Lin, Ruizhang Huang, Yongbin Qin, Yanping Chen

J. King Saud Univ. Comput. Inf. Sci., January, 2023

A Controlled Attention for Nested Named Entity Recognition.

Yanping Chen, Rong Huang, Lijun Pan, Ruizhang Huang, Qinghua Zheng, Ping Chen

Cogn. Comput., January, 2023

Planarized sentence representation for nested named entity recognition.

Rushan Geng, Yanping Chen, Ruizhang Huang, Yongbin Qin, Qinghua Zheng

Inf. Process. Manag., 2023

GANRec: A negative sampling model with generative adversarial network for recommendation.

Zhi Yang, Jiwei Qin, Chuan Lin, Yanping Chen, Ruizhang Huang, Yongbin Qin

Expert Syst. Appl., 2023

Deep Multi-kernel Clustering Network.

Lina Ren, Ruizhang Huang, Shengwei Ma, Yongbin Qin, Yanping Chen, Chuan Lin

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

A marker collaborating model for entity and relation extraction.

Yizhao Wu, Yanping Chen, Yongbin Qin, Ruizhang Huang, Ruixue Tang

J. King Saud Univ. Comput. Inf. Sci., November, 2022

Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder.

Ruina Bai, Ruizhang Huang, Luyi Zheng, Yanping Chen, Yongbin Qin

Neural Networks, 2022

Boundary assembling method for joint entity and relation extraction.

Ruixue Tang, Yanping Chen, Yongbin Qin, Ruizhang Huang, Bo Dong, Qinghua Zheng

Knowl. Based Syst., 2022

A joint model for entity boundary detection and entity span recognition.

Yongming Nian, Yanping Chen, Yongbin Qin, Ruizhang Huang, Ruixue Tang, Hu Ying

J. King Saud Univ. Comput. Inf. Sci., 2022

Multi-view Document Clustering with Joint Contrastive Learning.

Ruina Bai, Ruizhang Huang, Yongbin Qin, Yanping Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2022

A Learnable Graph Convolutional Neural Network Model for Relation Extraction.

Jinling Xu, Yanping Chen, Yongbin Qin, Ruizhang Huang

Proceedings of the Information Retrieval - 28th China Conference, 2022

2021

A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction.

Jinling Xu, Yanping Chen, Yongbin Qin, Ruizhang Huang, Qinghua Zheng

Symmetry, 2021

Entity Relation Extraction Based on Entity Indicators.

Yongbin Qin, Weizhe Yang, Kai Wang, Ruizhang Huang, Feng Tian, Shaolin Ao, Yanping Chen

Symmetry, 2021

A neuralized feature engineering method for entity relation extraction.

Yanping Chen, Weizhe Yang, Kai Wang, Yongbin Qin, Ruizhang Huang, Qinghua Zheng

Neural Networks, 2021

Protein-protein interaction relation extraction based on multigranularity semantic fusion.

Yijing Li, Yanping Chen, Yongbin Qin, Ying Hu, Ruizhang Huang, Qinghua Zheng

J. Biomed. Informatics, 2021

Deep multi-view document clustering with enhanced semantic embedding.

Ruina Bai, Ruizhang Huang, Yanping Chen, Yongbin Qin

Inf. Sci., 2021

Annotation of Chinese Predicate Heads and Relevant Elements.

Yanping Chen, Wenfan Jin, Yongbin Qin, Ruizhang Huang, Qinghua Zheng, Ping Chen

CoRR, 2021

2020

Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model.

Yanping Chen, Yuefei Wu, Yongbin Qin, Ying Hu, Zeyu Wang, Ruizhang Huang, Xinyu Cheng, Ping Chen

IEEE Intell. Syst., 2020

A Boundary Regressing Model for Nested Named Entity Recognition.

Yanping Chen, Lefei Wu, Liyuan Deng, Yongbin Qing, Ruizhang Huang, Qinghua Zheng, Ping Chen

CoRR, 2020

Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering.

Ruizhang Huang, Weijia Xu, Yongbin Qin, Yanping Chen

IEEE Access, 2020

A Multi-Channel Deep Neural Network for Relation Extraction.

Yanping Chen, Kai Wang, Weizhe Yang, Yongbin Qin, Ruizhang Huang, Ping Chen

IEEE Access, 2020

A Boundary Assembling Method for Nested Biomedical Named Entity Recognition.

Yanping Chen, Ying Hu, Yijing Li, Ruizhang Huang, Yongbin Qin, Yuefei Wu, Qinghua Zheng, Ping Chen

IEEE Access, 2020

A History and Theory of Textual Event Detection and Recognition.

Yanping Chen, Zehua Ding, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Nazaraf Shah

IEEE Access, 2020

Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing.

Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yu-Feng Li, Zhi-Hua Zhou

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

A Set Space Model to Capture Structural Information of a Sentence.

Yanping Chen, Guorong Wang, Qinghua Zheng, Yongbin Qin, Ruizhang Huang, Ping Chen

IEEE Access, 2019

Adjusting the Inheritance of Topic for Dynamic Document Clustering.

Ruizhang Huang, Yingxue Zhu, Yanping Chen, Yue Yang, Weijia Xu, Jian Yang, Yaru Meng

Proceedings of the Theoretical Computer Science - 37th National Conference, 2019

2018

Discovery of Rare Key Phrases.

Yanping Chen, Sha Liu, Qinghua Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen

Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

2017

一种基于MapReduce模型的高效频繁项集挖掘算法 (Efficient Frequent Patterns Mining Algorithm Based on MapReduce Model).

Kun Zhu, Ruizhang Huang, Nana Zhang

计算机科学, 2017

On-Line Load Balancing with Task Buffer.

Jiayin Wei, Daoyun Xu, Yongbin Qin, Ruizhang Huang

Comput. Informatics, 2017

MSDB: A Massive Sensor Data Processing Middleware for HBase.

Bowei Liu, Ruizhang Huang, Ting Huang, Yingying Yan

Proceedings of the Second IEEE International Conference on Data Science in Cyberspace, 2017

Improving Document Clustering for Short Texts by Long Documents via a Dirichlet Multinomial Allocation Model.

Yingying Yan, Ruizhang Huang, Can Ma, Liyang Xu, Zhiyuan Ding, Rui Wang, Ting Huang, Bowei Liu

Proceedings of the Web and Big Data - First International Joint Conference, 2017

Extracting Various Types of Informative Web Content via Fuzzy Sequential Pattern Mining.

Ting Huang, Ruizhang Huang, Bowei Liu, Yingying Yan

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2009

An active learning framework for semi-supervised document clustering with language modeling.

Ruizhang Huang, Wai Lam

Data Knowl. Eng., 2009

2008

Semi-supervised document clustering with active learning.

Ruizhang Huang

PhD thesis, 2008

2007

Named entity translation matching and learning: With application for mining unseen translations.

Wai Lam, Shing-Kit Chan, Ruizhang Huang

ACM Trans. Inf. Syst., 2007

Active Learning of Constraints for Semi-supervised Text Clustering.

Ruizhang Huang, Wai Lam, Zhigang Zhang

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Semi-supervised Document Clustering via Active Learning with Pairwise Constraints.

Ruizhang Huang, Wai Lam

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Refining hierarchical taxonomy structure via semi-supervised learning.

Ruizhang Huang, Zhigang Zhang, Wai Lam

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Text Clustering with Limited User Feedback Under Local Metric Learning.

Ruizhang Huang, Zhigang Zhang, Wai Lam

Proceedings of the Information Retrieval Technology, 2006

2004

Learning phonetic similarity for matching named entity translations and mining new translations.

Wai Lam, Ruizhang Huang, Pik-Shan Cheung

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Mining events and new name translations from online daily news.

Wai Lam, Pik-Shan Cheung, Ruizhang Huang

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2004

Financial Activity Mining from Online Multilingual News.

Pik-Shan Cheung, Ruizhang Huang, Wai Lam

Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

2003

Discovering Bilingual Name Association and Translation From Online News of Different Sources.

Yin-Yee Law, Ruizhang Huang, Wai Lam

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003

Supporting Story Link Detection Using Automatic Topic Type Categorization.

Ruizhang Huang, Wai Lam

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003

Digesting Bilingual Web News via Mining Financial Activities and Events.

Pik-Shan Cheung, Ruizhang Huang, Wai Lam

Proceedings of the Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access, 2003