Semantic Pattern for User-Interactive Question Answering. - Tianyong Hao; Qingtian Zeng; Liu Wenyin (SKG, 2006)

Automatic Question Generation for Learning Evaluation in Medicine. - Weiming Wang; Tianyong Hao; Wenyin Liu (ICWL, 2007)

Heuristic learning of rules for information extraction from web documents. - Dawei Hu; Huan Li; Tianyong Hao; Enhong Chen; Liu Wenyin (Infoscale, 2007)

An answer passage retrieval strategy for web-based question answering. - Xin Li 064; Dawei Hu; Tianyong Hao; Enhong Chen; Liu Wenyin (Infoscale, 2007)

Acquiring Procedural Knowledge Historical Text. - Tianyong Hao; Huan Li; Liu Wenyin (SKG, 2007)

Adaptation Rule Learning for Case-Based Reasoning. - Huan Li; Dawei Hu; Tianyong Hao; Liu Wenyin; Xiaoping Chen (SKG, 2007)

A user reputation model for a user-interactive question answering system. - Wei Chen 004; Qingtian Zeng; Liu Wenyin; Tianyong Hao (Concurr. Comput. Pract. Exp., 2007)

Automatic Generation of Semantic Patterns for User-Interactive Question Answering. - Tianyong Hao; Wanpeng Song; Dawei Hu; Wenyin Liu (AIRS, 2008)

Categorizing and ranking search engine's results by semantic similarity. - Tianyong Hao; Zhi Lu; Shitong Wang; Tiansong Zou; Shenhua Gu; Liu Wenyin (ICUIMC, 2008)

Automatic Question Translation Based on Semantic Pattern. - Tianyong Hao; Liu Wenyin (SKG, 2008)

Semantic patterns for user-interactive question answering. - Tianyong Hao; Dawei Hu; Liu Wenyin; Qingtian Zeng (Concurr. Comput. Pract. Exp., 2008)

Using a User-Interactive QA System for Personalized E-Learning. - Dawei Hu; Wei Chen 004; Qingtian Zeng; Tianyong Hao; Min Feng; Liu Wenyin (Int. J. Distance Educ. Technol., 2008)

A New Method for Measuring English Verb's Metaphor Making Potential. - Zili Chen; Jonathan J. Webster; Tianyong Hao; Ian C. Chow (FLAIRS, 2009)

Adaptation rule learning for case-based reasoning. - Huan Li; Xin Li 064; Dawei Hu; Tianyong Hao; Liu Wenyin; Xiaoping Chen (Concurr. Comput. Pract. Exp., 2009)

A Web-Based Platform for User-Interactive Question-Answering. - Liu Wenyin; Tianyong Hao; Wei Chen 004; Min Feng (World Wide Web, 2009)

Automatic Short Text Annotation for Question Answering System. - Gang Liu 008; Zhi Lu; Tianyong Hao; Wenyin Liu (WEBIST (Selected Papers), 2010)

Automatic Text Annotation for Questions. - Gang Liu 008; Zhi Lu; Tianyong Hao; Liu Wenyin (WEBIST (1), 2010)

Automatically answering repeated questions based on semantic question patterns. - Tianyong Hao; Liu Wenyin (IEEE ICCI*CC, 2011)

Semantic Pattern-Based User Interactive Question Answering: User Interface Design and Evaluation. - Tianyong Hao; Wenyin Liu; Chunshen Zhu (ICIC (2), 2011)

Toward Automatic Answers in User-Interactive Question Answering Systems. - Tianyong Hao; Feifei Xu; Jingsheng Lei; Liu Wenyin; Qing Li 001 (Int. J. Softw. Sci. Comput. Intell., 2011)

Automatic categorization of questions for user-interactive question answering. - Wanpeng Song; Liu Wenyin; Naijie Gu; Xiaojun Quan; Tianyong Hao (Inf. Process. Manag., 2011)

Bootstrap-Based Equivalent Pattern Learning for Collaborative Question Answering. - Tianyong Hao; Eugene Agichtein (CICLing (2), 2012)

Context-Aware Service Recommendation for Moving Connected Devices. - Raymond K. Wong 001; Victor W. Chu; Tianyong Hao; Jian Wang 018 (ICCVE, 2012)

Domain knowledge acquisition by automatic semantic annotating and pattern mining. - Tianyong Hao; Yingying Qu; Fang Xia (CAMP, 2012)

Finding similar questions in collaborative question answering archives: toward bootstrapping-based equivalent pattern learning. - Tianyong Hao; Eugene Agichtein (Inf. Retr., 2012)

Extracting and Normalizing Temporal Expressions in Clinical Data Requests from Researchers. - Tianyong Hao; Alex Rusanov; Chunhua Weng (ICSH, 2013)

Toward a Professional Platform for Chinese Character Conversion. - Tianyong Hao; Chunshen Zhu (ACM Trans. Asian Lang. Inf. Process., 2013)

A Method for Analyzing Commonalities in Clinical Trial Target Populations. - Zhe He 001; Simona Carini; Tianyong Hao; Ida Sim; Chunhua Weng (AMIA, 2014)

Clustering clinical trials with similar eligibility criteria features. - Tianyong Hao; Alexander Rusanov; Mary Regina Boland; Chunhua Weng (J. Biomed. Informatics, 2014)

Online role mining for context-aware mobile service recommendation. - Raymond K. Wong 001; Victor W. Chu; Tianyong Hao (Pers. Ubiquitous Comput., 2014)

A WordNet Expansion-Based Approach for Question Targets Identification and Classification. - Tianyong Hao; Wenxiu Xie; Feifei Xu (CCL, 2015)

Leveraging Semantic Labeling for Question Matching to Facilitate Question-Answer Archive Reuse. - Tianyong Hao; Xinying Qiu; Shengyi Jiang (ICIC (1), 2015)

Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial Design. - Tianyong Hao; Xieling Chen; Guimin Huang (ICWL, 2015)

Systematic Comparison of Question Target Classification Taxonomies Towards Question Answering. - Tianyong Hao; Wenxiu Xie; Chun Chen; Yuming Shen (SMP, 2015)

Online Multi-Instance Multi-Label learning for protein function prediction. - Feng Wu 004; Qiong Liu 006; Tianyong Hao; Xiaojun Chen 006; Qingyao Wu (BIBM, 2016)

The Construction of a Customized Medical Corpus for Assisting Chinese Clinicians in English Research Article Writing. - Xiaowen Wang; Yong Gao; Tianyong Hao (CCL, 2016)

An Automated Method for Gender Information Identification from Clinical Trial Texts. - Tianyong Hao; Boyu Chen; Yingying Qu (HIS, 2016)

An Empirical Study of Corpora Application in Data-Driven English Lexical Learning. - Xiaowen Wang; Tianyong Hao (SETE@ICWL, 2016)

QSem: A novel question representation framework for question matching over accumulated question-answer data. - Tianyong Hao; Yingying Qu (J. Inf. Sci., 2016)

A topical diversity-based approach to detecting similar question groups from collaborative question-answering archives. - Tianyong Hao; Chengtao Li; Wanqing Liang; Yingying Qu (Web Intell., 2016)

A Bidirectional LSTM and Conditional Random Fields Approach to Medical Named Entity Recognition. - Kai Xu 010; Zhanfan Zhou; Tianyong Hao; Wenyin Liu (AISI, 2017)

A Feature Extraction and Expansion-Based Approach for Question Target Identification and Classification. - Wenxiu Xie; Dongfa Gao; Tianyong Hao (CCIR, 2017)

A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China. - Xieling Chen; Heng Weng; Tianyong Hao (HIS, 2017)

A Framework for Automated Knowledge Graph Construction Towards Traditional Chinese Medicine. - Heng Weng; Ziqing Liu; Shixing Yan; Meiyu Fan; Aihua Ou; Dacan Chen; Tianyong Hao (HIS, 2017)

An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities. - Ruichu Cai; Binjun Zhu; Lei Ji; Tianyong Hao; Jun Yan 010; Wenyin Liu (ICDM Workshops, 2017)

Discovering the Recent Research in Natural Language Processing Field Based on a Statistical Approach. - Xieling Chen; Boyu Chen; Chunxia Zhang 001; Tianyong Hao (SETE@ICWL, 2017)

Pedagogical Principle Based E-learning Exploration: A Case of Construction Mediation Training. - Yingying Qu; Zhiwen Yu 002; Hao Cong; Tianyong Hao (SETE@ICWL, 2017)

Designing Interactive Exercises for Corpus-Based English Learning with Hot Potatoes Software. - Xiaowen Wang; Tianyong Hao (SETE@ICWL, 2017)

A CRFs-Based Approach Empowered with Word Representation Features to Learning Biomedical Named Entities from Medical Text. - Wenxiu Xie; Sihui Fu; Shengyi Jiang; Tianyong Hao (SETE@ICWL, 2017)

A Semantic-Context Ranking Approach for Community-Oriented English Lexical Simplification. - Tianyong Hao; Wenxiu Xie; John Lee 001 (NLPCC, 2017)

Revealing Learner Interests through Topic Mining from Question-Answering Data. - Yijie Dun; Na Wang; Min Wang; Tianyong Hao (Int. J. Distance Educ. Technol., 2017)

Large-scale extraction of drug-disease pairs from the medical literature. - Pengwei Wang 004; Tianyong Hao; Jun Yan 010; Lianwen Jin (J. Assoc. Inf. Sci. Technol., 2017)

A user-oriented semantic annotation approach to knowledge acquisition and conversion. - Tianyong Hao; Chunshen Zhu; Yuanyuan Mu; Gang Liu 008 (J. Inf. Sci., 2017)

Leveraging question target word features through semantic relation expansion for answer type classification. - Tianyong Hao; Wenxiu Xie; Qingyao Wu; Heng Weng; Yingying Qu (Knowl. Based Syst., 2017)

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. - Qingyao Wu; Hanrui Wu; Xiaoming Zhou; Mingkui Tan; Yonghui Xu; Yuguang Yan; Tianyong Hao (IEEE Trans. Knowl. Data Eng., 2017)

Capsule-Based Bidirectional Gated Recurrent Unit Networks for Question Target Classification. - Shi Chen; Bing Zheng; Tianyong Hao (CCIR, 2018)

T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine. - Ziqing Liu; Enwei Peng; Shixing Yan; Guozheng Li 001; Tianyong Hao (COLING (Demos), 2018)

An Automated Approach for Clinical Quantitative Information Extraction from Chinese Electronic Medical Records. - Shanshan Liu; Xiaoyi Pan; Boyu Chen; Dongfa Gao; Tianyong Hao (HIS, 2018)

A Bibliometric Analysis of the Research Status of the Technology Enhanced Language Learning. - Xieling Chen; Juntao Hao; Junjie Chen; Songshou Hua; Tianyong Hao (SETE@ICWL, 2018)

A Feature-Enriched Method for User Intent Classification by Leveraging Semantic Tag Expansion. - Wenxiu Xie; Dongfa Gao; Ruoyao Ding; Tianyong Hao (NLPCC (2), 2018)

A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017. - Xieling Chen; Ziqing Liu; Li Wei; Jun Yan 010; Tianyong Hao; Ruoyao Ding (BMC Medical Informatics Decis. Mak., 2018)

A bibliometric analysis of natural language processing in medical research. - Xieling Chen; Haoran Xie 001; Fu Lee Wang; Ziqing Liu; Juan Xu; Tianyong Hao (BMC Medical Informatics Decis. Mak., 2018)

A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts. - Tianyong Hao; Xiaoyi Pan; Zhiying Gu; Yingying Qu; Heng Weng (BMC Medical Informatics Decis. Mak., 2018)

Correction to: A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts. - Tianyong Hao; Xiaoyi Pan; Zhiying Gu; Yingying Qu; Heng Weng (BMC Medical Informatics Decis. Mak., 2018)

SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields. - Kai Xu 010; Zhanfan Zhou; Tao Gong 001; Tianyong Hao; Wenyin Liu (BMC Medical Informatics Decis. Mak., 2018)

A bibliometric analysis of text mining in medical research. - Tianyong Hao; Xieling Chen; Guozheng Li 001; Jun Yan 010 (Soft Comput., 2018)

A Bibliometric Review of Natural Language Processing Empowered Mobile Computing. - Xieling Chen; Ruoyao Ding; Kai Xu 010; Shan Wang 002; Tianyong Hao; Yi Zhou 005 (Wirel. Commun. Mob. Comput., 2018)

Natural Language Processing Empowered Mobile Computing. - Tianyong Hao; Raymond K. Wong 001; Zhe He 001; Haoran Xie 001; Tak-Lam Wong; Fu Lee Wang (Wirel. Commun. Mob. Comput., 2018)

A Semantic Expansion-Based Joint Model for Answer Ranking in Chinese Question Answering Systems. - Wenxiu Xie; Leung-Pun Wong; Lap-Kei Lee; Oliver T. S. Au; Tianyong Hao (AIRS, 2019)

Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening. - Choujun Zhan; Benjamin Yee Shing Li; Quansi Wen; Ying Gao 004; Tianyong Hao (BIBM, 2019)

Neural Machine Translation with Attention Based on a New Syntactic Branch Distance. - Ru Peng; Zhitao Chen; Tianyong Hao; Yi Fang (CCMT, 2019)

Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach. - Xieling Chen; Xinxin Zhang; Haoran Xie 001; Fu Lee Wang; Jun Yan 010; Tianyong Hao (HBAI@IJCAI, 2019)

Crowdsourcing Public Opinion for Sharing Medical Records for the Advancement of Science. - Chunhua Weng; Tianyong Hao; Carol Friedman; John F. Hurdle (MedInfo, 2019)

A Knowledge Selective Adversarial Network for Link Prediction in Knowledge Graph. - Kairong Hu; Hai Liu 006; Tianyong Hao (NLPCC (1), 2019)

The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. - Xieling Chen; Dongfa Gao; Yonghui Lun; Dingli Zhou; Tianyong Hao; Haoran Xie 001 (SETE@ICWL, 2019)

The Design and Application of an Web-Based Online Examination System. - Jilu Jiang; Baoxian Wu; Liang Chang 006; Kui Liu; Tianyong Hao (SETE@ICWL, 2019)

A Systematic Review of Frameworks for Coding Towards Classroom Dialogue. - Yu Song; Tianyong Hao; Zhinan Liu; Zixin Lan (SETE@ICWL, 2019)

Exploring two decades of research on classroom dialogue by using bibliometric analysis. - Yu Song; Xieling Chen; Tianyong Hao; Zhinan Liu; Zixin Lan (Comput. Educ., 2019)

A Pattern-Based Method for Medical Entity Recognition From Chinese Diagnostic Imaging Text. - Zihong Liang; Junjie Chen; Zhaopeng Xu; Yuyang Chen; Tianyong Hao (Frontiers Artif. Intell., 2019)

An approach for transgender population information extraction and summarization from clinical trial text. - Boyu Chen; Hao Jin; Zhiwen Yang; Yingying Qu; Heng Weng; Tianyong Hao (BMC Medical Informatics Decis. Mak., 2019)

Discovering thematic change and evolution of utilizing social media for healthcare research. - Xieling Chen; Yonghui Lun; Jun Yan 010; Tianyong Hao; Heng Weng (BMC Medical Informatics Decis. Mak., 2019)

A bibliometric analysis of event detection in social media. - Xieling Chen; Shan Wang 002; Yong Tang 001; Tianyong Hao (Online Inf. Rev., 2019)

Leveraging Statistic and Semantic Features for Similar Question Detection Using Fusion XGBoost. - Siyuan Liao; Leung-Pun Wong; Lap-Kei Lee; Oliver Au; Tianyong Hao (DASFAA (Workshops), 2020)

A New Context-Aware Method Based on Hybrid Ranking for Community-Oriented Lexical Simplification. - Jiayin Song; Jingyue Hu; Leung-Pun Wong; Lap-Kei Lee; Tianyong Hao (DASFAA (Workshops), 2020)

A Bi-directional Relation Aware Network for Link Prediction in Knowledge Graph. - Kairong Hu; Hai Liu 006; Choujun Zhan; Yong Tang 001; Tianyong Hao (NCAA, 2020)

A Hybrid Neural Network RBERT-C Based on Pre-trained RoBERTa and CNN for User Intent Classification. - Yuanxia Liu; Hai Liu 006; Leung-Pun Wong; Lap-Kei Lee; Haijun Zhang 002; Tianyong Hao (NCAA, 2020)

A Hybrid Model for Community-Oriented Lexical Simplification. - Jiayin Song; Yingshan Shen; John Lee 001; Tianyong Hao (NLPCC (1), 2020)

A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification. - Hai Liu 006; Yuanxia Liu; Leung-Pun Wong; Lap-Kei Lee; Tianyong Hao (Complex., 2020)

The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia. - Wenyan Tan; Haicheng Lin; Baoxin Lei; Aihua Ou; Zehui He; Ning Yang; Fujun Jia; Heng Weng; Tianyong Hao (BMC Medical Informatics Decis. Mak., 2020)

Aggregating neighborhood information for negative sampling for knowledge graph embedding. - Hai Liu 006; Kairong Hu; Fu Lee Wang; Tianyong Hao (Neural Comput. Appl., 2020)

A Hybrid Semantic Matching Model for Neural Collective Entity Linking. - Baoxin Lei; Wen Li 006; Leung-Pun Wong; Lap-Kei Lee; Fu Lee Wang; Tianyong Hao (APWeb/WAIM (2), 2021)

TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question Answering. - Yong Li; Zhenguo Yang; Tianyong Hao (CLEF (Working Notes), 2021)

Dilated Residual Aggregation Network for Text-Guided Image Manipulation. - Siwei Lu; Di Luo; Zhenguo Yang; Tianyong Hao; Qing Li 001; Wenyin Liu (ICANN (3), 2021)

Dense Fusion Network with Multimodal Residual for Sentiment Classification. - Huan Deng; Peipei Kang; Zhenguo Yang; Tianyong Hao; Qing Li 001; Wenyin Liu (ICME, 2021)

An Hybrid Model CMR-Color of Automatic Color Matching Prediction for Textiles Dyeing and Printing. - Musen Chen; Hubert S. Tsang; Kang T. Tsang; Tianyong Hao (NCAA, 2021)

Systematic Analysis of Joint Entity and Relation Extraction Models in Identifying Overlapping Relations. - Yuchen Luo; Zhenjie Huang; Kai Zheng; Tianyong Hao (NCAA, 2021)

FABERT: A Feature Aggregation BERT-Based Model for Document Reranking. - Xiaozhi Zhu; Leung-Pun Wong; Lap-Kei Lee; Hai Liu 006; Tianyong Hao (NLPCC (2), 2021)

The Development of Artificial Intelligence Education in Primary and Secondary Schools in China. - Qiqi Xu; Jinlin Li; Hai Liu 006; Tianyong Hao (SETE, 2021)

Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People. - Wenxiu Xie; Meng Ji; Mengdan Zhao; Kam-Yiu Lam; Chi-Yin Chow; Tianyong Hao (Comput. Intell. Neurosci., 2021)

Supporting Risk-Aware Use of Online Translation Tools in Delivering Mental Healthcare Services among Spanish-Speaking Populations. - Wenxiu Xie; Meng Ji; Mengdan Zhao; Xiaobo Qian; Chi-Yin Chow; Kam-Yiu Lam; Tianyong Hao (Comput. Intell. Neurosci., 2021)

Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning. - Kun Zeng; Yibin Xu; Ge Lin 002; Likeng Liang; Tianyong Hao (BMC Medical Informatics Decis. Mak., 2021)

Clinical quantitative information recognition and entity-quantity association from Chinese electronic medical records. - Shanshan Liu; Wenjie Nie; Dongfa Gao; Hao Yang; Jun Yan 010; Tianyong Hao (Int. J. Mach. Learn. Cybern., 2021)

A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research. - Xieling Chen; Xinxin Zhang; Haoran Xie 001; Xiaohui Tao 001; Fu Lee Wang; Nengfu Xie; Tianyong Hao (Multim. Tools Appl., 2021)

Learning knowledge graph embedding with a bi-directional relation encoding network and a convolutional autoencoder decoding network. - Kairong Hu; Hai Liu 006; Choujun Zhan; Yong Tang 001; Tianyong Hao (Neural Comput. Appl., 2021)

Correction to: Aggregating neighborhood information for negative sampling for knowledge graph embedding. - Hai Liu 006; Kairong Hu; Fu Lee Wang; Tianyong Hao (Neural Comput. Appl., 2021)

Syntax-aware neural machine translation directed by syntactic dependency degree. - Ru Peng; Tianyong Hao; Yi Fang (Neural Comput. Appl., 2021)

Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers. - Choujun Zhan; Yufan Zheng; Zhikang Lai; Tianyong Hao; Bing Li 007 (Neural Comput. Appl., 2021)

Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases. - Choujun Zhan; Chi K. Tse; Ying Gao 004; Tianyong Hao (IEEE J. Biomed. Health Informatics, 2021)

Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network. - Ru Peng; Nankai Lin; Yi Fang; Shengyi Jiang; Tianyong Hao; Boyu Chen; Junbo Zhao 002 (ICONIP (3), 2022)

A Self-supervised Joint Training Framework for Document Reranking. - Xiaozhi Zhu; Tianyong Hao; Sijie Cheng; Fu Lee Wang; Hai Liu 006 (NAACL-HLT (Findings), 2022)

An Improved Partition Filter Network for Entity-Relation Joint Extraction. - Zhenjie Huang; Likeng Liang; Xiaozhi Zhu; Heng Weng; Jun Yan 010; Tianyong Hao (NCAA (1), 2022)

An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medical Queries. - Yuyu Luo; Zhenjie Huang; Leung-Pun Wong; Choujun Zhan; Fu Lee Wang; Tianyong Hao (NCAA (1), 2022)

A Span-Based Joint Model for Measurable Quantitative Information Extraction. - Di Mo; Bangrui Huang; Haitao Wang; Xinyu Cao; Heng Weng; Tianyong Hao (NCAA (2), 2022)

A Bi-level representation learning model for medical visual question answering. - Yong Li; Shaopei Long; Zhenguo Yang; Heng Weng; Kun Zeng; Zhenhua Huang 001; Fu Lee Wang; Tianyong Hao (J. Biomed. Informatics, 2022)

Recent progress in leveraging deep learning methods for question answering. - Tianyong Hao; Xinxin Li; Yulan He 002; Fu Lee Wang; Yingying Qu (Neural Comput. Appl., 2022)

Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention. - Likeng Liang; Tianyong Hao; Choujun Zhan; Hong Qiu; Fu Lee Wang; Jun Yan 010; Heng Weng; Yingying Qu (Neural Comput. Appl., 2022)

A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection. - Guanhua Chen 008; Qiqi Xu; Choujun Zhan; Fu Lee Wang; Kuanyan Zhu; Hai Liu 006; Tianyong Hao (NCAA (2), 2023)

MAMF: A Multi-Level Attention-Based Multimodal Fusion Model for Medical Visual Question Answering. - Shaopei Long; Zhenguo Yang; Yong Li; Xiaobo Qian; Kun Zeng; Tianyong Hao (NCAA (2), 2023)

A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost. - Yuyu Luo; Yi Xie; Enliang Yan; Lap-Kei Lee; Fu Lee Wang; Tianyong Hao (NCAA (2), 2023)

An Enhanced Model Based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases. - Zhanjie Mai; Pengjiu Yu; Chunli Liu; Qun Luo; Li Wei; Tianyong Hao (NCAA (2), 2023)

Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification. - Xiaobo Qian; Shunhao Li; Weihan Qiu; Tao Chen; Maojie Wang; Tianyong Hao (NCAA (2), 2023)

A Two-Stage Framework for Kidney Segmentation in Ultrasound Images. - Zhengxuan Song; Xun Liu; Yongyi Gong; Tianyong Hao; Kun Zeng (NCAA (2), 2023)

A Positive-Negative Dual-View Model for Knowledge Tracing. - Qiqi Xu; Guanhua Chen 008; Lan Shuai; Shi Pu; Hai Liu 006; Tianyong Hao (NCAA (2), 2023)

SCA-CLS: A New Semantic-Context-Aware Framework for Community-Oriented Lexical Simplification. - Rongying Li; Wenxiu Xie; John Lee 001; Tianyong Hao (NLPCC (1), 2023)

TAM of SCNU at SemEval-2023 Task 1: FCLL: A Fine-grained Contrastive Language-Image Learning Model for Cross-language Visual Word Sense Disambiguation. - Qihao Yang; Yong Li; Xuelin Wang; Shunhao Li; Tianyong Hao (SemEval@ACL, 2023)

Multimodal Affective Computing With Dense Fusion Transformer for Inter- and Intra-Modality Interactions. - Huan Deng; Zhenguo Yang; Tianyong Hao; Qing Li 001; Wenyin Liu (IEEE Trans. Multim., 2023)

Pixel-Level and Perceptual-Level Regularized Adversarial Learning for Joint Motion Deblurring and Super-Resolution. - Yong Li; Zhenguo Yang; Tianyong Hao; Qing Li 001; Wenyin Liu (Neural Process. Lett., 2023)

OdeBERT: One-stage Deep-supervised Early-exiting BERT for Fast Inference in User Intent Classification. - Yuanxia Liu; Tianyong Hao; Hai Liu 006; Yuanyuan Mu; Heng Weng; Fu Lee Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Special issue on neural computing and applications 2020. - Mingbo Zhao; Zhou Wu 001; Zhao Zhang 001; Tianyong Hao; Zhiwei Meng; Reza Malekian (Neural Comput. Appl., 2023)

Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering. - Yong Li; Qihao Yang; Fu Lee Wang; Lap-Kei Lee; Yingying Qu; Tianyong Hao (Artif. Intell. Medicine, 2023)

PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations. - Qihao Yang; Yong Li; Xuelin Wang; Fu Lee Wang; Tianyong Hao (ACL (1), 2024)

A Bibliometric Analysis of Leveraging Artificial Intelligence Technology for Global Pandemics. - Lianghong Lin; Heng Weng; Enliang Yan; Choujun Zhan; Fu Lee Wang; Tianyong Hao (BESC, 2024)

MTA: A Lightweight Multilingual Text Alignment Model for Cross-Language Visual Word Sense Disambiguation. - Qihao Yang; Xuelin Wang; Yong Li; Lap-Kei Lee; Fu Lee Wang; Tianyong Hao (ICASSP, 2024)

SPGNet: A Shape-prior Guided Network for Medical Image Segmentation. - Zhengxuan Song; Xun Liu; Wenhao Zhang; Yongyi Gong; Tianyong Hao; Kun Zeng (IJCAI, 2024)

Leveraging Intent Entity Enhancement for Task-Oriented Dialogue. - Jiale Chen; Shunhao Li; Baoshuo Kan; Fu Lee Wang; Tianyong Hao (IJCNN, 2024)

A New Multi-level Knowledge Retrieval Model for Task-Oriented Dialogue. - Xuelian Dong; Jiale Chen; Heng Weng; Zili Chen; Fu Lee Wang; Tianyong Hao (NCAA (3), 2024)

Improving Dialogue State Tracking with Interactive Acts Attention and Attention Divergence Loss Function. - Jingjing Lan; Rongjiao Liang; Hai Liu 006; Chaobo He; Tianyong Hao (NCAA (3), 2024)

Shared Task on NCAA 2024: Chinese Diabetes Question Classification. - Shunhao Li; Zixin Zhong; Enliang Yan; Tianyong Hao (NCAA (2), 2024)

Trilinear Distillation Learning and Question Feature Capturing for Medical Visual Question Answering. - Shaopei Long; Yong Li; Heng Weng; Buzhou Tang; Fu Lee Wang; Tianyong Hao (NCAA (3), 2024)

ESert: An Enhanced Span-Based Model for Measurable Quantitative Information Extraction from Medical Texts. - Qixuan Zhang; Jiale Chen; Haitao Wang; Xinyu Cao; Wei Jie; Tianyong Hao (NCAA (3), 2024)

MJR: Multi-Head Joint Reasoning on Language Models for Question Answering. - Shunhao Li; Jiale Chen; Enliang Yan; Choujun Zhan; Fu Lee Wang; Tianyong Hao (SMC, 2024)

A preliminary study on few-shot knowledge reasoning mechanism based on three-way partial order structure. - Enliang Yan; Tao Zhang 028; Jianping Yu; Tianyong Hao; Qiliang Chen (Inf. Sci., 2024)

A new semi-supervised fuzzy K-means clustering method with dynamic adjustment and label discrimination. - Hengdong Zhu; Wenxiu Xie; Yuanyuan Mu; Juan Xu; Fu Lee Wang; Yingying Qu; Tianyong Hao (Neural Comput. Appl., 2024)

Multi-stage enhanced representation learning for document reranking based on query view. - Hai Liu 006; Xiaozhi Zhu; Yong Tang 001; Chaobo He; Tianyong Hao (World Wide Web (WWW), 2024)

Graph representation learning method based on three-way partial order structure. - Enliang Yan; Shikuan Hao; Tao Zhang 028; Tianyong Hao; Qiliang Chen; Jianping Yu (Int. J. Approx. Reason., 2024)

Improving Open Intent Detection via Triplet-Contrastive Learning and Adaptive Boundary. - Guanhua Chen 008; Qiqi Xu; Choujun Zhan; Fu Lee Wang; Kai Liu 001; Hai Liu 006; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

Convolutional Neural Network-Based Entity-Specific Common Feature Aggregation for Knowledge Graph Embedding Learning. - Kairong Hu; Xiaozhi Zhu; Hai Liu 006; Yingying Qu; Fu Lee Wang; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

SCLert: A Span-Based Joint Model for Measurable Quantitative Information Extraction From Chinese Texts. - Di Mo; Bangrui Huang; Haitao Wang; Xinyu Cao; Keqin Gan; Jie Wei; Heng Weng; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

Hierarchical graph fusion network and a new argumentative dataset for multiparty dialogue discourse parsing. - Tiezheng Mao; Tianyong Hao; Jialing Fu; Osamu Yoshie (Inf. Process. Manag., 2024)

BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities. - Choujun Zhan; Lingfeng Miao; Junyan Lin; Minghao Tan; Kim Fung Tsang; Tianyong Hao; Hu Min; Xuejiao Zhao (Neural Comput. Appl., 2024)

Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering. - Zhipeng Liu; Jing He 004; Tao Gong 001; Heng Weng; Fu Lee Wang; Hai Liu 006; Tianyong Hao (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

GMINN: A Generative Moving Interactive Neural Network for Enhanced Short-Term Load Forecasting in Modern Electricity Markets. - Choujun Zhan; Du Yin; Yingshan Shen; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

LLM-Enhanced Query Generation and Retrieval Preservation for Task-Oriented Dialogue. - Jiale Chen; Xuelian Dong; Wenxiu Xie; Ru Peng; Kun Zeng; Tianyong Hao (ACL (Findings), 2025)

Span Attention for Entity-Consistent Task-Oriented Dialogue Response Generation. - Jiale Chen; Xuelian Dong; Wenxiu Xie; Tao Gong 001; Fu Lee Wang; Tianyong Hao (ICASSP, 2025)

A new semi-supervised fuzzy clustering method based on latent representation learning and information fusion. - Hengdong Zhu; Baoshuo Kan; Yong Li; Enliang Yan; Heng Weng; Fu Lee Wang; Tianyong Hao (Appl. Soft Comput., 2025)

An approach to calculate conceptual distance across multi-granularity based on three-way partial order structure. - Enliang Yan; Pengfei Zhang; Tianyong Hao; Tao Zhang 028; Jianping Yu; Yuncheng Jiang; Yuan Yang (Int. J. Approx. Reason., 2025)

A few-shot knowledge reasoning method based on three-way partial order structure and prompt learning. - Yuxuan Huang; Enliang Yan; Peiming Zhang; Tianyong Hao (Neurocomputing, 2025)

A new robust semi-supervised clustering method based on adaptive credibility estimation and locality preservation. - Hengdong Zhu; Rongjiao Liang; Baoshuo Kan; Enliang Yan; Fu Lee Wang; Tianyong Hao (Neurocomputing, 2025)

A new graph-based clustering method with dual-feature regularization and Laplacian rank constraint. - Hengdong Zhu; Yingshan Shen; Choujun Zhan; Fu Lee Wang; Heng Weng; Tianyong Hao (Knowl. Based Syst., 2025)

Quantifying the Dynamics of Harm Caused by Retracted Research. - Yunyou Huang; Jiahui Zhao; Dandan Cui; Zhengxin Yang; Bingjie Xia; Qi Liang; Wenjing Liu; Li Ma; Suqin Tang; Tianyong Hao; Zhifei Zhang; Wanling Gao; et al. (CoRR, 2025)

An Event-Aware Dual Representation Model With Mixture-of-Experts for Serious Adverse Events Prediction in Clinical Trials. - Baoshuo Kan; Teng Wang; Hengdong Zhu; Rongjiao Liang; Enliang Yan; Fu Lee Wang; Tianyong Hao (IEEE Trans. Consumer Electron., 2025)