Digesting Bilingual Web News via Mining Financial Activities and Events. - Pik-Shan Cheung; Ruizhang Huang; Wai Lam (ICADL, 2003)

Supporting Story Link Detection Using Automatic Topic Type Categorization. - Ruizhang Huang; Wai Lam (IKE, 2003)

Discovering Bilingual Name Association and Translation From Online News of Different Sources. - Yin-Yee Law; Ruizhang Huang; Wai Lam (IKE, 2003)

Financial Activity Mining from Online Multilingual News. - Pik-Shan Cheung; Ruizhang Huang; Wai Lam (ITCC (1), 2004)

Mining events and new name translations from online daily news. - Wai Lam; Pik-Shan Cheung; Ruizhang Huang (JCDL, 2004)

Learning phonetic similarity for matching named entity translations and mining new translations. - Wai Lam; Ruizhang Huang; Pik-Shan Cheung (SIGIR, 2004)

Text Clustering with Limited User Feedback Under Local Metric Learning. - Ruizhang Huang; Zhigang Zhang; Wai Lam (AIRS, 2006)

Refining hierarchical taxonomy structure via semi-supervised learning. - Ruizhang Huang; Zhigang Zhang; Wai Lam (SIGIR, 2006)

Semi-supervised Document Clustering via Active Learning with Pairwise Constraints. - Ruizhang Huang; Wai Lam (ICDM, 2007)

Active Learning of Constraints for Semi-supervised Text Clustering. - Ruizhang Huang; Wai Lam; Zhigang Zhang (SDM, 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)

Semi-supervised document clustering with active learning. - Ruizhang Huang (2008)

An active learning framework for semi-supervised document clustering with language modeling. - Ruizhang Huang; Wai Lam (Data Knowl. Eng., 2009)

Extracting Various Types of Informative Web Content via Fuzzy Sequential Pattern Mining. - Ting Huang; Ruizhang Huang; Bowei Liu; Yingying Yan (APWeb/WAIM (1), 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 (APWeb/WAIM (1), 2017)

MSDB: A Massive Sensor Data Processing Middleware for HBase. - Bowei Liu; Ruizhang Huang; Ting Huang; Yingying Yan (DSC, 2017)

On-Line Load Balancing with Task Buffer. - Jiayin Wei; Daoyun Xu; Yongbin Qin; Ruizhang Huang (Comput. Informatics, 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 009; Ruizhang Huang; Nana Zhang (计算机科学, 2017)

Discovery of Rare Key Phrases. - Yanping Chen 010; Sha Liu; Qinghua Zheng; Ruizhang Huang; Yongbin Qin; Jiwei Qin; Ping Chen 001 (ICEBE, 2018)

Adjusting the Inheritance of Topic for Dynamic Document Clustering. - Ruizhang Huang; Yingxue Zhu; Yanping Chen 010; Yue Yang; Weijia Xu; Jian Yang; Yaru Meng (NCTCS, 2019)

A Set Space Model to Capture Structural Information of a Sentence. - Yanping Chen 010; Guorong Wang; Qinghua Zheng; Yongbin Qin; Ruizhang Huang; Ping Chen 001 (IEEE Access, 2019)

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; Yufeng Li 008; Zhi-Hua Zhou (ICDM, 2020)

A History and Theory of Textual Event Detection and Recognition. - Yanping Chen 010; Zehua Ding; Qinghua Zheng; Yongbin Qin; Ruizhang Huang; Nazaraf Shah (IEEE Access, 2020)

A Boundary Assembling Method for Nested Biomedical Named Entity Recognition. - Yanping Chen 010; Ying Hu; Yijing Li; Ruizhang Huang; Yongbin Qin; Yuefei Wu; Qinghua Zheng; Ping Chen 001 (IEEE Access, 2020)

A Multi-Channel Deep Neural Network for Relation Extraction. - Yanping Chen 010; Kai Wang 075; Weizhe Yang; Yongbin Qin; Ruizhang Huang; Ping Chen 001 (IEEE Access, 2020)

Hierarchical Dirichlet Multinomial Allocation Model for Multi-Source Document Clustering. - Ruizhang Huang; Weijia Xu; Yongbin Qin; Yanping Chen 010 (IEEE Access, 2020)

A Boundary Regressing Model for Nested Named Entity Recognition. - Yanping Chen 010; Lefei Wu; Liyuan Deng; Yongbin Qing; Ruizhang Huang; Qinghua Zheng; Ping Chen 001 (CoRR, 2020)

Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model. - Yanping Chen 010; Yuefei Wu; Yongbin Qin; Ying Hu; Zeyu Wang; Ruizhang Huang; Xinyu Cheng; Ping Chen 001 (IEEE Intell. Syst., 2020)

Annotation of Chinese Predicate Heads and Relevant Elements. - Yanping Chen 010; Wenfan Jin; Yongbin Qin; Ruizhang Huang; Qinghua Zheng; Ping Chen 001 (CoRR, 2021)

Deep multi-view document clustering with enhanced semantic embedding. - Ruina Bai; Ruizhang Huang; Yanping Chen 010; Yongbin Qin (Inf. Sci., 2021)

Protein-protein interaction relation extraction based on multigranularity semantic fusion. - Yijing Li; Yanping Chen 010; Yongbin Qin; Ying Hu; Ruizhang Huang; Qinghua Zheng (J. Biomed. Informatics, 2021)

A neuralized feature engineering method for entity relation extraction. - Yanping Chen 010; Weizhe Yang; Kai Wang 075; Yongbin Qin; Ruizhang Huang; Qinghua Zheng (Neural Networks, 2021)

Entity Relation Extraction Based on Entity Indicators. - Yongbin Qin; Weizhe Yang; Kai Wang 075; Ruizhang Huang; Feng Tian 002; Shaolin Ao; Yanping Chen 010 (Symmetry, 2021)

A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction. - Jinling Xu; Yanping Chen 010; Yongbin Qin; Ruizhang Huang; Qinghua Zheng (Symmetry, 2021)

A Learnable Graph Convolutional Neural Network Model for Relation Extraction. - Jinling Xu; Yanping Chen 010; Yongbin Qin; Ruizhang Huang (CCIR, 2022)

Multi-view Document Clustering with Joint Contrastive Learning. - Ruina Bai; Ruizhang Huang; Yongbin Qin; Yanping Chen 010 (NLPCC (1), 2022)

A joint model for entity boundary detection and entity span recognition. - Yongming Nian; Yanping Chen 010; Yongbin Qin; Ruizhang Huang; Ruixue Tang; Ying Hu (J. King Saud Univ. Comput. Inf. Sci., 2022)

Boundary assembling method for joint entity and relation extraction. - Ruixue Tang; Yanping Chen 010; Yongbin Qin; Ruizhang Huang; Bo Dong 001; Qinghua Zheng (Knowl. Based Syst., 2022)

Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder. - Ruina Bai; Ruizhang Huang; Luyi Zheng; Yanping Chen 010; Yongbin Qin (Neural Networks, 2022)

A marker collaborating model for entity and relation extraction. - Yizhao Wu; Yanping Chen 010; Yongbin Qin; Ruizhang Huang; Ruixue Tang (J. King Saud Univ. Comput. Inf. Sci., 2022)

Deep Multi-kernel Clustering Network. - Lina Ren; Ruizhang Huang; Shengwei Ma; Yongbin Qin; Yanping Chen 010; Chuan Lin (ICDM, 2023)

GANRec: A negative sampling model with generative adversarial network for recommendation. - Zhi Yang; Jiwei Qin; Chuan Lin; Yanping Chen 010; Ruizhang Huang; Yongbin Qin (Expert Syst. Appl., 2023)

Planarized sentence representation for nested named entity recognition. - Rushan Geng; Yanping Chen 010; Ruizhang Huang; Yongbin Qin; Qinghua Zheng (Inf. Process. Manag., 2023)

A Controlled Attention for Nested Named Entity Recognition. - Yanping Chen 010; Rong Huang; Lijun Pan; Ruizhang Huang; Qinghua Zheng; Ping Chen 001 (Cogn. Comput., 2023)

Intention-guided deep semi-supervised document clustering via metric learning. - Jingnan Li; Chuan Lin; Ruizhang Huang; Yongbin Qin; Yanping Chen 010 (J. King Saud Univ. Comput. Inf. Sci., 2023)

A Boundary Regression Model for Nested Named Entity Recognition. - Yanping Chen 010; Lefei Wu; Qinghua Zheng; Ruizhang Huang; Jun Liu 002; Liyuan Deng; Junhui Yu; Yongbin Qing; Bo Dong 001; Ping Chen 001 (Cogn. Comput., 2023)

HVAE: A deep generative model via hierarchical variational auto-encoder for multi-view document modeling. - Ruina Bai; Ruizhang Huang; Yongbin Qin; Yanping Chen 010; Chuan Lin (Inf. Sci., 2023)

Deep structural enhanced network for document clustering. - Lina Ren; Yongbin Qin; Yanping Chen 010; Ruina Bai; Jingjing Xue; Ruizhang Huang (Appl. Intell., 2023)

Criminal Action Graph: A semantic representation model of judgement documents for legal charge prediction. - Geya Feng; Yongbin Qin; Ruizhang Huang; Yanping Chen 010 (Inf. Process. Manag., 2023)

Boundary regression model for joint entity and relation extraction. - Ruixue Tang; Yanping Chen 010; Yongbin Qin; Ruizhang Huang; Qinghua Zheng (Expert Syst. Appl., 2023)

Learning entity-oriented representation for biomedical relation extraction. - Ying Hu; Yanping Chen 010; Yongbin Qin; Ruizhang Huang (J. Biomed. Informatics, 2023)

Enhancing interaction representation for joint entity and relation extraction. - Ruixue Tang; Yanping Chen 010; Ruizhang Huang; Yongbin Qin (Cogn. Syst. Res., 2023)

Deep document clustering via adaptive hybrid representation learning. - Lina Ren; Yongbin Qin; Yanping Chen 010; Chuan Lin; Ruizhang Huang (Knowl. Based Syst., 2023)

A Bi-directional Boundary Matching Model for Nested Named Entity Recognition. - Can Wu; Yanping Chen 010; Ruizhang Huang; Yongbin Qin; Nazaraf Shah (CSAI, 2024)

A multi-graph representation for event extraction. - Hui Huang; Yanping Chen 010; Chuan Lin; Ruizhang Huang; Qinghua Zheng; Yongbin Qin (Artif. Intell., 2024)

A novel MRC framework for evidence extracts in judgment documents. - Yulin Zhou; Lijuan Liu; Yanping Chen 010; Ruizhang Huang; Yongbin Qin; Chuan Lin (Artif. Intell. Law, 2024)

A Bi-consolidating Model for Joint Relational Triple Extraction. - Xiaocheng Luo; Yanping Chen 010; Ruixue Tang; Ruizhang Huang; Yongbin Qin (CoRR, 2024)

A Two Dimensional Feature Engineering Method for Relation Extraction. - Hao Wang; Yanping Chen 010; Weizhe Yang; Yongbin Qin; Ruizhang Huang (CoRR, 2024)

A hierarchical consensus learning model for deep multi-view document clustering. - Ruina Bai; Ruizhang Huang; Yanping Chen 010; Yongbin Qin; Yong Xu; Qinghua Zheng (Inf. Fusion, 2024)

DEDC-IMAE: A deep evolutionary document clustering model with inherited mixed autoencoder. - Hui Lu; Ziyang Cheng; Ruizhang Huang; Yongbin Qin; Yanping Chen 010; Chuan Lin; Jingjing Xue (Inf. Sci., 2024)

A hierarchical convolutional model for biomedical relation extraction. - Ying Hu; Yanping Chen 010; Ruizhang Huang; Yongbin Qin; Qinghua Zheng (Inf. Process. Manag., 2024)

A structural consensus representation learning framework for multi-view clustering. - Ruina Bai; Ruizhang Huang; Yongbin Qin; Yanping Chen 010; Yong Xu (Knowl. Based Syst., 2024)

APRE: Annotation-Aware Prompt-Tuning for Relation Extraction. - Chao Wei; Yanping Chen 010; Kai Wang 075; Yongbin Qin; Ruizhang Huang; Qinghua Zheng (Neural Process. Lett., 2024)

A Label Information Aware Model for Multi-label Text Classification. - Xiaoyu Tian; Yongbin Qin; Ruizhang Huang; Yanping Chen 010 (Neural Process. Lett., 2024)

Adaptive structural enhanced representation learning for deep document clustering. - Jingjing Xue; Ruizhang Huang; Ruina Bai; Yanping Chen 010; Yongbin Qin; Chuan Lin (Appl. Intell., 2024)

Exclusion of Thought: Mitigating Cognitive Load in Large Language Models for Enhanced Reasoning in Multiple-Choice Tasks. - Qihang Fu; Yongbin Qin; Ruizhang Huang; Yanping Chen 010; Yulin Zhou; Lintao Long (ACL (1), 2025)

Adaptive feature extraction for entity relation extraction. - Weizhe Yang; Yongbin Qin; Ruizhang Huang; Yanping Chen 010 (Comput. Speech Lang., 2025)

CSMDC: Exploring consistently context semantics for multi-view document clustering. - Ruina Bai; Ruizhang Huang; Le Xu; Yongbin Qin (Expert Syst. Appl., 2025)

A neural kernel framework for relation extraction. - Kai Wang 075; Yanping Chen 010; Weizhe Yang; Ruizhang Huang; Yongbin Qin (Expert Syst. Appl., 2025)

A bi-consolidating model for joint relational triple extraction. - Xiaocheng Luo; Yanping Chen 010; Ruixue Tang; Caiwei Yang; Ruizhang Huang; Yongbin Qin (Neurocomputing, 2025)

Incorporating edge sharpening and covariance attention for named entity recognition. - Caiwei Yang; Yanping Chen; Shuai Yu; Ruizhang Huang; Yongbin Qin (Neurocomputing, 2025)

JGC-IAGCL: Fusing joint graph convolution and intent-aware graph contrastive learning for explainable recommendation. - Zhi Yang; Chuan Lin; Yongbin Qin; Ruizhang Huang; Yanping Chen 010; Jiwei Qin (Inf. Fusion, 2025)

IterSum: Iterative summarization based on document topological structure. - Shuai Yu; Wei Gao; Yongbin Qin; Caiwei Yang; Ruizhang Huang; Yanping Chen 010; Chuan Lin (Inf. Process. Manag., 2025)

LSDK-LegalSum: improving legal judgment summarization using logical structure and domain knowledge. - Wei Gao; Shuai Yu; Yongbin Qin; Caiwei Yang; Ruizhang Huang; Yanping Chen 010; Chuan Lin (J. King Saud Univ. Comput. Inf. Sci., 2025)

Legal text summarization via judicial syllogism with large language models. - Yumei Song; Yongbin Qin; Ruizhang Huang; Yanping Chen 010; Chuan Lin (J. King Saud Univ. Comput. Inf. Sci., 2025)

GSAM: A simple and General Stereo Alignment Module for multi-view document clustering. - Ruina Bai; Ruizhang Huang; Yanping Chen 010; Yongbin Qin (Knowl. Based Syst., 2025)

Discovering personalized document partition via intention-aware deep document clustering. - Le Xu; Ruina Bai; Ruizhang Huang; Lina Ren; Yongbin Qin (Knowl. Based Syst., 2025)

A resilient generative model in few-shot question answering. - Anqi Zou; Yanping Chen 010; Ruizhang Huang; Yongbin Qin (Knowl. Based Syst., 2025)

A discrete convolutional network for entity relation extraction. - Weizhe Yang; Yongbin Qin; Kai Wang 075; Ying Hu; Ruizhang Huang; Yanping Chen 010 (Neural Networks, 2025)

Deep clustering via dual-supervised multi-kernel mapping. - Lina Ren; Ruizhang Huang; Shengwei Ma; Yongbin Qin; Yanping Chen; Chuan Lin (Pattern Recognit., 2025)

A prototype evolution network for relation extraction. - Kai Wang 075; Yanping Chen 010; Ruizhang Huang; Yongbin Qin (Appl. Intell., 2025)

A Levitated Controlled Attention for Named Entity Recognition. - Rong Huang; Yanping Chen 010; Ruizhang Huang (Cogn. Comput., 2025)

Dynamic knowledge correction via abductive for domain question answering. - Yulin Zhou; Ruizhang Huang; Chuan Lin; Lijuan Liu; Yongbin Qin (Inf. Process. Manag., 2026)