Okapi at TREC-5. - Micheline Hancock-Beaulieu; Mike Gatford; Xiangji Huang 001; Stephen E. Robertson; Steve Walker; P. W. Williams (TREC, 1996)

Okapi Chinese Text Retrieval Experiments at TREC-6. - Xiangji Huang 001; Stephen E. Robertson (TREC, 1997)

Application of probabilistic methods to Chinese. - Xiangji Huang 001; Stephen E. Robertson (J. Documentation, 1997)

Probability-Based Chinese Text Processing and Retrieval. - Xiangji Huang 001; Stephen E. Robertson; Nick Cercone; Aijun An (Comput. Intell., 2000)

A Case Study for Learning from Imbalanced Data Sets. - Aijun An; Nick Cercone; Xiangji Huang 001 (AI, 2001)

Comparison of interestingness functions for learning web usage patterns. - Xiangji Huang 001; Nick Cercone; Aijun An (CIKM, 2002)

Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR. - Fuchun Peng; Xiangji Huang 001; Dale Schuurmans; Nick Cercone (COLING, 2002)

Discovery of Interesting Association Rules from Livelink Web Log Data. - Xiangji Huang 001; Aijun An; Nick Cercone; Gary Promhouse (ICDM, 2002)

Waterloo at NTCIR-3: Using Self-supervised Word Segmentation. - Xiangji Huang 001; Fuchun Peng; Dale Schuurmans; Nick Cercone (NTCIR, 2002)

Using self-supervised word segmentation in Chinese information retrieval. - Fuchun Peng; Xiangji Huang 001; Dale Schuurmans; Nick Cercone; Stephen E. Robertson (SIGIR, 2002)

Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. - Xiangji Huang 001; Fuchun Peng; Aijun An; Dale Schuurmans; Nick Cercone (AI, 2003)

Objective and Subjective Algorithms for Grouping Association Rules. - Aijun An; Shakil M. Khan 001; Xiangji Huang 001 (ICDM, 2003)

Text classification in Asian languages without word segmentation. - Fuchun Peng; Xiangji Huang 001; Dale Schuurmans; Shaojun Wang (IRAL, 2003)

Organizing knowledge and political process: reconfiguration in the context of BPR. - Patrick Dawson; Jimmy X. Huang (Int. J. Internet Enterp. Manag., 2003)

Applying Machine Learning to Text Segmentation for Information Retrieval. - Xiangji Huang 001; Fuchun Peng; Dale Schuurmans; Nick Cercone; Stephen E. Robertson (Inf. Retr., 2003)

York University at TREC 2004: HARD and Genomics Tracks. - Xiangji Huang 001; Yan Rui Huang; Ming Zhong 013; Miao Wen (TREC, 2004)

Clustering Web Surfers with Probabilistic Models in a Real Application. - Yang Liu 008; Xiangji Huang 001; Aijun An; Gary Promhouse (Web Intelligence, 2004)

Dynamic Web log session identification with statistical language models. - Xiangji Huang 001; Fuchun Peng; Aijun An; Dale Schuurmans (J. Assoc. Inf. Sci. Technol., 2004)

Feature Selection with Rough Sets for Web Page Classification. - Aijun An; Yanhui Huang; Xiangji Huang 001; Nick Cercone (Trans. Rough Sets, 2004)

Finding and Analyzing Database User Sessions. - Qingsong Yao; Aijun An; Xiangji Huang 001 (DASFAA, 2005)

A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data. - Qingsong Yao; Xiangji Huang 001; Aijun An (DaWaK, 2005)

Using contextual information to improve retrieval performance. - Xiangji Huang 001; Yan Rui Huang (GrC, 2005)

Evaluation and automatic selection of methods for handling missing data. - Ying Zou 013; Aijun An; Xiangji Huang 001 (GrC, 2005)

A Distance-Based Algorithm for Clustering Database User Sessions. - Qingsong Yao; Aijun An; Xiangji Huang 001 (ISMIS, 2005)

Boosting performance of bio-entity recognition by combining results from multiple systems. - Luo Si; Tapas Kanungo; Xiangji Huang 001 (BIOKDD, 2005)

A dual index model for contextual information retrieval. - Xiangji Huang 001; Yan Rui Huang; Miao Wen (SIGIR, 2005)

York University at TREC 2005: SPAM Track. - Wei Cao; Aijun An; Xiangji Huang 001 (TREC, 2005)

York University at TREC 2005: Genomics Track. - Xiangji Huang 001; Ming Zhong 013; Luo Si (TREC, 2005)

York University at TREC 2005: Terabyte Track. - Mladen Kovacevic 002; Xiangji Huang 001 (TREC, 2005)

York University at TREC 2005: HARD Track. - Miao Wen; Xiangji Huang 001; Aijun An; Yan Rui Huang (TREC, 2005)

A multilevel searching and re-ranking framework for information retrieval. - Miao Wen; Xiangji Huang 001 (GrC, 2006)

An effective extension to okapi for biomedical text mining. - Ming Zhong 013; Xiangji Huang 001 (GrC, 2006)

Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. - Xiangji Huang 001; Yan Rui Huang; Miao Wen; Aijun An; Yang Liu 008; Josiah Poon (ICDM, 2006)

Mining and Modeling Database User Access Patterns. - Qingsong Yao; Aijun An; Xiangji Huang 001 (ISMIS, 2006)

Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles. - Yang Liu 008; Aijun An; Xiangji Huang 001 (PAKDD, 2006)

A platform for Okapi-based contextual information retrieval. - Xiangji Huang 001; Miao Wen; Aijun An; Yan Rui Huang (SIGIR, 2006)

Concept-based biomedical text retrieval. - Ming Zhong 013; Xiangji Huang 001 (SIGIR, 2006)

York University at TREC 2006: Enterprise Email Discussion Search. - Yu Fan; Xiangji Huang 001; Aijun An (TREC, 2006)

York University at TREC 2006: Genomics Track. - Xiangji Huang 001; Bin Hu; Hashmat Rohian (TREC, 2006)

York University at TREC 2006: Legal Track. - Miao Wen; Xiangji Huang 001 (TREC, 2006)

Hierarchical grouping of association rules and its application to a real-world domain. - Aijun An; Shakil M. Khan 001; Xiangji Huang 001 (Int. J. Syst. Sci., 2006)

Applying language modeling to session identification from database trace logs. - Xiangji Huang 001; Qingsong Yao; Aijun An (Knowl. Inf. Syst., 2006)

ARSA: a sentiment-aware model for predicting sales performance using blogs. - Yang Liu 008; Xiangji Huang 001; Aijun An; Xiaohui Yu 001 (SIGIR, 2007)

York University at TREC 2007: Enterprise Document Search. - Yu Fan; Xiangji Huang 001 (TREC, 2007)

York University at TREC 2007: Genomics Track. - Xiangji Huang 001; Damon Sotoudeh-Hosseinii; Hashmat Rohian; Xiangdong An 001 (TREC, 2007)

Knowledge Retrieval (KR). - Yiyu Yao; Yi Zeng 001; Ning Zhong 001; Xiangji Huang 001 (Web Intelligence, 2007)

Finding molecular complexes through multiple layer clustering of protein interaction networks. - Bill Andreopoulos; Aijun An; Xiangji Huang 001; Xiaogang Wang 007 (Int. J. Bioinform. Res. Appl., 2007)

Comparison of Interestingness Measures for Web Usage Mining: an Empirical Study. - Xiangji Huang 001 (Int. J. Inf. Technol. Decis. Mak., 2007)

Personalized recommendation with adaptive mixture of markov models. - Yang Liu 008; Xiangji Huang 001; Aijun An (J. Assoc. Inf. Sci. Technol., 2007)

Machine learning for Asian language text classification. - Fuchun Peng; Xiangji Huang 001 (J. Documentation, 2007)

Modeling document features for expert finding. - Jianhan Zhu; Dawei Song 001; Stefan M. Rüger; Xiangji Huang 001 (CIKM, 2008)

Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web. - Bill Andreopoulos; Aijun An; Xiangji Huang 001; Dirk Labudde (ER Workshops, 2008)

Machine Learning Approaches to Information Retrieval and its Applications to the Web, Medical Informatics and Health Care. - Xiangji Huang 001 (GrC, 2008)

Modeling and Predicting the Helpfulness of Online Reviews. - Yang Liu 008; Xiangji Huang 001; Aijun An; Xiaohui Yu 001 (ICDM, 2008)

A Dynamic Window Based Passage Extraction Algorithm for Genomics Information Retrieval. - Qinmin Hu; Xiangji Huang 001 (ISMIS, 2008)

A reranking model for genomics aspect search. - Qinmin Hu; Xiangji Huang 001 (SIGIR, 2008)

York University at TREC 2008: Blog Track. - Mladen Kovacevic 002; Xiangji Huang 001 (TREC, 2008)

HelpMeter: A Nonlinear Model for Predicting the Helpfulness of Online Reviews. - Yang Liu 008; Xiangji Huang 001; Aijun An; Xiaohui Yu 001 (Web Intelligence, 2008)

Discovering Temporal Associations among Significant Changes in Gene Expression. - Hashmat Rohian; Aijun An; Jiashu Zhao; Xiangji Huang 001 (BIBM, 2009)

Towards a Better Ranking for Biomedical Information Retrieval Using Context. - Xiaoshi Yin; Xiangji Huang 001; Zhoujun Li 001 (BIBM, 2009)

BioCLink: A Probabilistic Approach for Improving Genomics Search with Citation Links. - Xiaoshi Yin; Xiangji Huang 001; Zhoujun Li 001 (BIBM, 2009)

Diverging patterns: discovering significant frequency change dissimilarities in large databases. - Aijun An; Qian Wan 001; Jiashu Zhao; Xiangji Huang 001 (CIKM, 2009)

An Integrated Approach for Medical Image Retrieval through Combining Textual and Visual Features. - Zheng Ye; Xiangji Huang 001; Qinmin Hu; Hongfei Lin (CLEF (2), 2009)

Towards A Better Performance for Medical Image Retrieval Using An Integrated Approach. - Zheng Ye; Xiangji Huang 001; Hongfei Lin (CLEF (Working Notes), 2009)

Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study. - Xiaoshi Yin; Xiangji Huang 001; Qinmin Hu; Zhoujun Li 001 (PAKDD, 2009)

A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval. - Xiangji Huang 001; Qinmin Hu (SIGIR, 2009)

A graph-based approach to mining multilingual word associations from wikipedia. - Zheng Ye; Xiangji Huang 001; Hongfei Lin (SIGIR, 2009)

Overview of the TREC 2009 Chemical IR Track. - Mihai Lupu; Florina Piroi; Xiangji Huang 001; Jianhan Zhu; John Tait (TREC, 2009)

York University at TREC 2009: Relevance Feedback Track. - Zheng Ye; Xiangji Huang 001; Ben He; Hongfei Lin (TREC, 2009)

York University at TREC 2009: Chemical Track. - Jiashu Zhao; Xiangji Huang 001; Zheng Ye; Jianhan Zhu (TREC, 2009)

TREC-CHEM: large scale chemical information retrieval evaluation at TREC. - Mihai Lupu; Jimmy X. Huang; Jianhan Zhu; John Tait (SIGIR Forum, 2009)

Web Usage Mining with Web Logs. - Xiangji Huang 001 (Encyclopedia of Data Warehousing and Mining, 2009)

Revisiting Rocchio's Relevance Feedback Algorithm for Probabilistic Models. - Zheng Ye; Ben He; Xiangji Huang 001; Hongfei Lin (AIRS, 2010)

Enhancing Content-Based Image Retrieval Using Machine Learning Techniques. - Qinmin Vivian Hu; Zheng Ye; Jimmy Xiangji Huang (AMT, 2010)

Exploring Social Annotation Tags to Enhance Information Retrieval Performance. - Zheng Ye; Jimmy Xiangji Huang; Song Jin; Hongfei Lin (AMT, 2010)

Genomics information retrieval using a Bayesian model for learning and re-ranking. - Qinmin Vivian Hu; Jimmy Xiangji Huang (BCB, 2010)

Exploring a multi-source fusion approach for genomics information retrieval. - Qinmin Vivian Hu; Jimmy Xiangji Huang; Jun Miao (BIBM, 2010)

A relevance-novelty combined model for genomics search result diversification. - Xiaoshi Yin; Zhoujun Li 001; Jimmy Xiangji Huang; Xiaohua Hu 001 (BIBM, 2010)

A Time Series Based Method for Analyzing and Predicting Personalized Medical Data. - Qinmin Vivian Hu; Jimmy Xiangji Huang; William Melek; C. Joseph Kurian (Brain Informatics, 2010)

Optimal IR: How Far Away? - Xiangdong An 001; Xiangji Huang 001; Nick Cercone (CICLing, 2010)

Promoting Ranking Diversity for Biomedical Information Retrieval Using Wikipedia. - Xiaoshi Yin; Xiangji Huang 001; Zhoujun Li 001 (ECIR, 2010)

Medical search and classification tools for recommendation. - Xiangji Huang 001; Aijun An; Qinmin Hu (SIGIR, 2010)

S-PLASA+: adaptive sentiment analysis with application to sales performance prediction. - Yang Liu 008; Xiaohui Yu 001; Xiangji Huang 001; Aijun An (SIGIR, 2010)

TREC-CHEM 2010. - Mihai Lupu; John Tait; Jimmy X. Huang; Jianhan Zhu (TREC, 2010)

York_University at TRECVID 2010. - Jun Miao; Xiangji Huang 001; Qinmin Hu (TRECVID, 2010)

A quality-aware model for sales prediction using reviews. - Xiaohui Yu 001; Yang Liu 008; Xiangji Huang 001; Aijun An (WWW, 2010)

Passage extraction and result combination for genomics information retrieval. - Qinmin Hu; Jimmy Xiangji Huang (J. Intell. Inf. Syst., 2010)

Integrating multiple document features in language models for expert finding. - Jianhan Zhu; Xiangji Huang 001; Dawei Song 001; Stefan M. Rüger (Knowl. Inf. Syst., 2010)

Evaluation of Chemical Information Retrieval Tools. - Mihai Lupu; Jimmy X. Huang; Jianhan Zhu (Current Challenges in Patent Information Retrieval, 2011)

Promoting Ranking Diversity for Biomedical Information Retrieval Based on LDA. - Yan Chen 019; Xiaoshi Yin; Zhoujun Li 001; Xiaohua Hu 001; Jimmy Xiangji Huang (BIBM, 2011)

A Term Association Approach for Genomics Information Retrieval. - Qinmin Hu; Jimmy Xiangji Huang; Xiaohua Hu 001 (BIBM, 2011)

A Bayesian network approach to context sensitive query expansion. - Zheng Ye; Xiangji Huang 001; Hongfei Lin (SAC, 2011)

CRTER: using cross terms to enhance probabilistic information retrieval. - Jiashu Zhao; Jimmy Xiangji Huang; Ben He (SIGIR, 2011)

Enhancing ad-hoc relevance weighting using probability density estimation. - Xiaofeng Zhou; Jimmy Xiangji Huang; Ben He (SIGIR, 2011)

York University at TREC 2011: Medical Records Track. - Mariam Daoud; Dawid Kasperowicz; Jun Miao; Jimmy X. Huang (TREC, 2011)

Overview of the TREC 2011 Chemical IR Track. - Mihai Lupu; Jiashu Zhao; Jimmy X. Huang; Harsha Gurulingappa; Juliane Fluck; Marc Zimmermann 001; Igor V. Filippov; John Tait (TREC, 2011)

Search beyond Traditional Probabilistic Information Retrieval. - Jimmy X. Huang (Web Intelligence, 2011)

A robust approach to optimizing multi-source information for enhancing genomics retrieval performance. - Qinmin Hu; Jimmy X. Huang; Jun Miao (BMC Bioinform., 2011)

Promoting ranking diversity for genomics search with relevance-novelty combined model. - Xiaoshi Yin; Zhoujun Li 001; Jimmy X. Huang; Xiaohua Hu 001 (BMC Bioinform., 2011)

Special Issue Review: Neurocomputing - Special Issue on Advances in Web Intelligence. - Stefan M. Rüger; Vijay V. Raghavan 001; Irwin King; Jimmy Xiangji Huang (IEEE Intell. Informatics Bull., 2011)

Incorporating rich features to boost information retrieval performance: A SVM-regression based re-ranking approach. - Zheng Ye; Jimmy Xiangji Huang; Hongfei Lin (Expert Syst. Appl., 2011)

Combining integrated sampling with SVM ensembles for learning from imbalanced datasets. - Yang Liu 008; Xiaohui Yu 001; Jimmy Xiangji Huang; Aijun An (Inf. Process. Manag., 2011)

Mining and modeling linkage information from citation context for improving biomedical literature retrieval. - Xiaoshi Yin; Jimmy Xiangji Huang; Zhoujun Li 001 (Inf. Process. Manag., 2011)

Modeling term proximity for probabilistic information retrieval models. - Ben He; Jimmy Xiangji Huang; Xiaofeng Zhou (Inf. Sci., 2011)

Finding a good query-related topic for boosting pseudo-relevance feedback. - Zheng Ye; Jimmy Xiangji Huang; Hongfei Lin (J. Assoc. Inf. Sci. Technol., 2011)

A Bayesian-based prediction model for personalized medical health care. - Jiashu Zhao; Jimmy Xiangji Huang; Xiaohua Hu 001; C. Joseph Kurian; William Melek (BIBM, 2012)

Proximity-based rocchio's model for pseudo relevance. - Jun Miao; Jimmy Xiangji Huang; Zheng Ye (SIGIR, 2012)

A hybrid model for ad-hoc information retrieval. - Zheng Ye; Jimmy Xiangji Huang; Jun Miao (SIGIR, 2012)

Rewarding term location information to enhance probabilistic information retrieval. - Jiashu Zhao; Jimmy Xiangji Huang; Shicheng Wu (SIGIR, 2012)

York University at TREC 2012: Medical Records Track. - Jun Miao; Zheng Ye; Jimmy X. Huang (TREC, 2012)

York University at TREC 2012: Microblog Track. - Zahra Amin Nayeri; Zheng Ye; Jimmy Xiangji Huang (TREC, 2012)

Modeling and mining term association for improving biomedical information retrieval performance. - Qinmin Hu; Jimmy X. Huang; Xiaohua Hu 001 (BMC Bioinform., 2012)

Re-ranking with context for high-performance biomedical information retrieval. - Xiaoshi Yin; Jimmy Xiangji Huang; Zhoujun Li 001 (Int. J. Data Min. Bioinform., 2012)

Spam filtering using semantic similarity approach and adaptive BPNN. - Cheng Hua Li; Jimmy Xiangji Huang (Neurocomputing, 2012)

Special issue on advances in web intelligence. - Stefan M. Rüger; Vijay V. Raghavan 001; Irwin King; Jimmy Xiangji Huang (Neurocomputing, 2012)

Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval. - Zheng Ye; Jimmy Xiangji Huang; Ben He; Hongfei Lin (J. Assoc. Inf. Sci. Technol., 2012)

Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain. - Xiaohui Yu 001; Yang Liu 008; Xiangji Huang 001; Aijun An (IEEE Trans. Knowl. Data Eng., 2012)

Augmenting LASSO regression with decision tree for identifying the correlation of genetic polymorphism and adverse events. - Yi-fei Cai; Zhaohui Liang; Tong He; Gang Zhang; Jimmy Xiangji Huang; Xing Zeng (BIBM, 2013)

A semantic feature space for disease prediction. - Mariam Daoud; Jimmy Xiangji Huang; William Melek; C. Joseph Kurian (BIBM, 2013)

Evidence-based decision support for the clinical practice of acupuncture: Data mining approaches. - Changrong Meng; Honglai Zhang; Lingfeng Zeng; Ziping Li; Jimmy X. Huang; Zhaohui Liang (BIBM, 2013)

Improving prediction accuracy of influenza-like illnesses in hospital emergency departments. - Jiefu Pei; Bo Ling; Simon Liao; Baiyan Liu; Jimmy Xiangji Huang; Trevor Strome; Ricardo Lobato de Faria; Michael G. Zhang (BIBM, 2013)

Expoliting rich features for promoting diversity in biomedical information retrieval. - Jiajin Wu; Jimmy X. Huang; Zheng Ye (BIBM, 2013)

Promoting electronic health record search through a time-aware approach. - Jiayue Zhang; Jimmy Xiangji Huang; Jun Guo 002; Weiran Xu (BIBM, 2013)

A sparse Bayesian multi-instance multi-label model for skin biopsy image analysis. - Gang Zhang; Xiangyang Shu; Yongjing Huang; Yingrong Lao; Zhaohui Liang; Shanxing Ou; Jimmy X. Huang (BIBM, 2013)

Correlating medical-dependent query features with image retrieval models using association rules. - Hajer Ayadi; Mouna Torjmen; Mariam Daoud; Maher Ben Jemaa; Jimmy Xiangji Huang (CIKM, 2013)

Using Semantic-Based Association Rule Mining for Improving Clinical Text Retrieval. - Atanaz Babashzadeh; Mariam Daoud; Jimmy X. Huang (HIS, 2013)

Boosting novelty for biomedical information retrieval through probabilistic latent semantic analysis. - Xiangdong An 001; Jimmy Xiangji Huang (SIGIR, 2013)

Exploiting semantics for improving clinical information retrieval. - Atanaz Babashzadeh; Jimmy X. Huang; Mariam Daoud (SIGIR, 2013)

Leveraging conceptual lexicon: query disambiguation using proximity information for patent retrieval. - Parvaz Mahdabi; Shima Gerani; Jimmy Xiangji Huang; Fabio Crestani (SIGIR, 2013)

York University at TREC 2013: Contextual Suggestion Track. - Sushma Yalamarti; Mariam Daoud; Jimmy X. Huang (TREC, 2013)

Mining query-driven contexts for geographic and temporal search. - Mariam Daoud; Jimmy Xiangji Huang (Int. J. Geogr. Inf. Sci., 2013)

High performance query expansion using adaptive co-training. - Jimmy Xiangji Huang; Jun Miao; Ben He (Inf. Process. Manag., 2013)

Modeling geographic, temporal, and proximity contexts for improving geotemporal search. - Mariam Daoud; Jimmy Xiangji Huang (J. Assoc. Inf. Sci. Technol., 2013)

Enhancing genomics Information Retrieval through Dimensional Analysis. - Qinmin Hu; Jimmy Xiangji Huang (J. Bioinform. Comput. Biol., 2013)

A Survival Modeling Approach to Biomedical Search Result Diversification Using Wikipedia. - Xiaoshi Yin; Jimmy Xiangji Huang; Zhoujun Li 001; Xiaofeng Zhou (IEEE Trans. Knowl. Data Eng., 2013)

Riding the tide of sentiment change: sentiment analysis with evolving online reviews. - Yang Liu 008; Xiaohui Yu 001; Aijun An; Xiangji Huang 001 (World Wide Web, 2013)

A semi-informative aware approach using topic model for medical search. - Qinmin Vivian Hu; Liang He 001; Mingyao Li; Jimmy Xiangji Huang; E. Mark Haacke (BIBM, 2014)

Deep learning for healthcare decision making with EMRs. - Zhaohui Liang; Gang Zhang; Jimmy Xiangji Huang; Qinmin Vivian Hu (BIBM, 2014)

Cloud computing and its decision-making for medical and health informatization in the context of big data. - Lingfeng Zeng; Changrong Meng; Ziping Li; Xiangji Huang 001; Zhaohui Liang (BIBM, 2014)

Stroke unit of integrative medicine for post stroke comorbid anxiety and depression: A systematic review and meta-analysis of 25 randomized controlled trials. - Lingfeng Zeng; Changrong Meng; Zhaohui Liang; Xiangji Huang 001; Ziping Li (BIBM, 2014)

Task 3a: Team YORKU. - Jiajin Wu; Jimmy X. Huang (CLEF (Working Notes), 2014)

Apprentissage de classification des requêtes basée sur la confiance et la couverture. - Hajer Ayadi; Mouna Torjmen Khemakhem; Mariam Daoud; Jimmy Xiangji Huang; Maher Ben Jemaa (CORIA-CIFED, 2014)

Bringing Information Retrieval into Crowdsourcing: A Case Study. - Qinmin Hu; Xiangji Huang 001 (ECIR, 2014)

A simple term frequency transformation model for effective pseudo relevance feedback. - Zheng Ye; Jimmy Xiangji Huang (SIGIR, 2014)

An enhanced context-sensitive proximity model for probabilistic information retrieval. - Jiashu Zhao; Jimmy Xiangji Huang (SIGIR, 2014)

Mining network data for intrusion detection through combining SVMs with ant colony networks. - Wenying Feng 001; Qinglei Zhang; Gongzhu Hu; Jimmy Xiangji Huang (Future Gener. Comput. Syst., 2014)

Modeling Term Associations for Probabilistic Information Retrieval. - Jiashu Zhao; Jimmy Xiangji Huang; Zheng Ye (ACM Trans. Inf. Syst., 2014)

Discovery of the relations between genetic polymorphism and adverse drug reactions. - Zhaohui Liang; Gang Zhang; Jimmy Xiangji Huang (BIBM, 2015)

York University at CLEF 2015 eHealth : Medical Document Retrieval. - Andia Ghoddousi; Jimmy Xiangji Huang (CLEF (Working Notes), 2015)

Using Term Location Information to Enhance Probabilistic Information Retrieval. - Baiyan Liu; Xiangdong An 001; Jimmy Xiangji Huang (SIGIR, 2015)

Bi-Transferring Deep Neural Networks for Domain Adaptation. - Guangyou Zhou; Zhiwen Xie; Jimmy Xiangji Huang; Tingting He 003 (ACL (1), 2016)

Towards a Formal Account of the Dynamics of Knowledge and Context in Surgical Rooms for the Practice of Surgical Safety CheckLists. - Xing Tan 002; Xiangdong An 001; Nicholas Pairaudeau; Jimmy X. Huang (AMIA, 2016)

CNN-based image analysis for malaria diagnosis. - Zhaohui Liang; Andrew Powell 001; Ilker Ersoy; Mahdieh Poostchi; Kamolrat Silamut; Kannappan Palaniappan; Peng Guo; Md Amir Hossain; Sameer K. Antani; Richard James Maude; Jimmy Xiangji Huang; Stefan Jaeger 001; et al. (BIBM, 2016)

A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling. - Fanghong Jian; Jimmy Xiangji Huang; Jiashu Zhao; Tingting He 003; Po Hu (SIGIR, 2016)

Ranking Documents Through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study. - Xing Tan 002; Jimmy Xiangji Huang; Aijun An (SIGIR, 2016)

Exploiting Semantic Coherence Features for Information Retrieval. - Xinhui Tu; Jimmy Xiangji Huang; Jing Luo 003; Tingting He 003 (SIGIR, 2016)

A learning to rank approach for quality-aware pseudo-relevance feedback. - Zheng Ye; Jimmy Xiangji Huang (J. Assoc. Inf. Sci. Technol., 2016)

TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback. - Jun Miao; Jimmy Xiangji Huang; Jiashu Zhao (ACM Trans. Inf. Syst., 2016)

Learning to Re-rank Medical Images Using a Bayesian Network-Based Thesaurus. - Hajer Ayadi; Mouna Torjmen Khemakhem; Jimmy Xiangji Huang; Mariam Daoud; Maher Ben Jemaa (ECIR, 2017)

On the Effectiveness of Bayesian Network-based Models for Document Ranking. - Xing Tan 002; Fanghong Jian; Jimmy Xiangji Huang (ICTIR, 2017)

A Data Mining Framework for Valuing Large Portfolios of Variable Annuities. - Guojun Gan; Jimmy Xiangji Huang (KDD, 2017)

Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001; Weijie An (SIGIR, 2017)

geNov: A new metric for measuring novelty and relevancy in biomedical information retrieval. - Xiangdong An 001; Jimmy Xiangji Huang (J. Assoc. Inf. Sci. Technol., 2017)

Mining correlations between medically dependent features and image retrieval models for query classification. - Hajer Ayadi; Mouna Torjmen Khemakhem; Mariam Daoud; Jimmy Xiangji Huang; Maher Ben Jemaa (J. Assoc. Inf. Sci. Technol., 2017)

A Semantically Enriched Context-Aware Stemming Algorithm. - Melyara Mezzi; Nadjia Benblidia; Xiangji Huang 001 (J. Integr. Des. Process. Sci., 2017)

pART2: using adaptive resonance theory for web caching prefetching. - Wenying Feng 001; Toufiq Hossain Kazi; Gongzhu Hu; Jimmy Xiangji Huang (Neural Comput. Appl., 2017)

Correction to: pART2: using adaptive resonance theory for web caching prefetching. - Wenying Feng 001; Toufiq Hossain Kazi; Gongzhu Hu; Jimmy Xiangji Huang (Neural Comput. Appl., 2017)

Modeling and Learning Distributed Word Representation with Metadata for Question Retrieval. - Guangyou Zhou; Jimmy Xiangji Huang (IEEE Trans. Knowl. Data Eng., 2017)

Modeling and Mining Domain Shared Knowledge for Sentiment Analysis. - Guangyou Zhou; Jimmy Xiangji Huang (ACM Trans. Inf. Syst., 2017)

CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (AAAI, 2018)

Character-Based N-gram Model for Uyghur Text Retrieval. - Turdi Tohti; Lirui Xu; Jimmy X. Huang; Winira Musajan; Askar Hamdulla (CCBR, 2018)

OurDirection: An Interactive Dialogue Framework For Chatting with Government Officials. - Sadra Abrishamkar; Jimmy Xiangji Huang (DocEng, 2018)

Levenshtein in Blocks World: String Matching via AI Planning. - Xing Tan 002; Jimmy Xiangji Huang (ICTIR, 2018)

StatBM25: An Aggregative and Statistical Approach for Document Ranking. - Xing Tan 002; Fanghong Jiang; Jimmy Xiangji Huang (ICTIR, 2018)

CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (SIGIR, 2018)

A Best Match KNN-based Approach for Large-scale Product Categorization. - Haohao Hu; Runjie Zhu; Yuqi Wang; Wenying Feng 001; Xing Tan 002; Jimmy Xiangji Huang (eCOM@SIGIR, 2018)

A New Term Frequency Normalization Model for Probabilistic Information Retrieval. - Fanghong Jian; Jimmy Xiangji Huang; Jiashu Zhao; Tingting He 003 (SIGIR, 2018)

Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval. - Jimmy Xiangji Huang; Ben He; Jiashu Zhao (Inf. Syst., 2018)

BRBcast: A new approach to belief rule-based system parameter learning via extended causal strength logic. - Jianbin Sun; Jimmy Xiangji Huang; Leilei Chang 001; Jiang Jiang 001; Yuejin Tan (Inf. Sci., 2018)

MF-Re-Rank: A modality feature-based Re-Ranking model for medical image retrieval. - Hajer Ayadi; Mouna Torjmen Khemakhem; Mariam Daoud; Jimmy Xiangji Huang; Maher Ben Jemaa (J. Assoc. Inf. Sci. Technol., 2018)

Modeling Queries with Contextual Snippets for Information Retrieval. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (ACM Trans. Intell. Syst. Technol., 2018)

TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (IEEE Trans. Knowl. Data Eng., 2018)

Patient Entity Recognition by Automatic EHR Context Understanding and Deep Learning. - Zhaohui Liang; Jun Liu 010; Honglai Zhang; Jimmy Xiangji Huang; Ziping Li; Stephen Chan (BIBM, 2019)

A classification-based selection for evolutionary optimization. - Jinyuan Zhang; Jimmy Xiangji Huang; Qinmin Vivian Hu (GECCO (Companion), 2019)

On Computational Complexity of Pickup-and-Delivery Problems with Precedence Constraints or Time Windows. - Xing Tan 002; Jimmy Xiangji Huang (IJCAI, 2019)

Parrot: A Python-based Interactive Platform for Information Retrieval Research. - Xinhui Tu; Jimmy X. Huang; Jing Luo 003; Runjie Zhu; Tingting He 003 (SIGIR, 2019)

A New Digital Signal Processing Based Model With Multi-Aspect Term Frequency for Information Retrieval. - Zhiwei Ying; Jimmy Xiangji Huang; Jie Zhou 015 (IEEE Access, 2019)

DSPF: A Digital Signal Processing Based Framework for Information Retrieval. - Zhiwei Ying; Jimmy Xiangji Huang; Jie Zhou 015; Fanghong Jian; Tingting He 003 (IEEE Access, 2019)

Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. - Jie Zhou 015; Jimmy Xiangji Huang; Qin Chen 001; Qinmin Vivian Hu; Tingting Wang; Liang He 001 (IEEE Access, 2019)

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine. - Zhaohui Liang; Jun Liu 010; Aihua Ou; Honglai Zhang; Ziping Li; Jimmy Xiangji Huang (Comput. Methods Programs Biomed., 2019)

Text Filtering through Multi-Pattern Matching: A Case Study of Wu-Manber-Uy on the Language of Uyghur. - Turdi Tohti; Jimmy X. Huang; Askar Hamdulla; Xing Tan 002 (Inf., 2019)

ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding. - Zhiwen Xie; Guangyou Zhou; Jin Liu 016; Jimmy Xiangji Huang (ACL, 2020)

Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy X. Huang (Canadian AI, 2020)

Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation. - Zhaohui Liang; Jimmy Xiangji Huang; Jun Li 010; Stephen Chan (BIBM, 2020)

WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy Xiangji Huang (COLING, 2020)

A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment. - Zhiwen Xie; Runjie Zhu; Kunsong Zhao; Jin Liu 016; Guangyou Zhou; Jimmy Xiangji Huang (COLING, 2020)

Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. - Jie Zhou 015; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (DASFAA (1), 2020)

Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task. - Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Enamul Hoque (LREC, 2020)

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. - Pengfei Wang 009; Yu Fan; Long Xia; Wayne Xin Zhao; Shaozhang Niu; Jimmy X. Huang (SIGIR, 2020)

Neural Interactive Collaborative Filtering. - Lixin Zou; Long Xia; Yulong Gu; Xiangyu Zhao 001; Weidong Liu 001; Jimmy Xiangji Huang; Dawei Yin (SIGIR, 2020)

Is position important? deep multi-task learning for aspect-based sentiment analysis. - Jie Zhou 015; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Appl. Intell., 2020)

A topic-based term frequency normalization framework to enhance probabilistic information retrieval. - Fanghong Jian; Jimmy Xiangji Huang; Jiashu Zhao; Zhiwei Ying; Yuqi Wang (Comput. Intell., 2020)

Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy Xiangji Huang (CoRR, 2020)

Boosting evolutionary optimization via fuzzy-classification-assisted selection. - Jinyuan Zhang; Jimmy Xiangji Huang; Qinmin Vivian Hu (Inf. Sci., 2020)

Position-aware hierarchical transfer model for aspect-level sentiment classification. - Jie Zhou 015; Qin Chen 001; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Inf. Sci., 2020)

A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback. - Min Pan; Jimmy Xiangji Huang; Tingting He 003; Zhiming Mao; Zhiwei Ying; Xinhui Tu (J. Assoc. Inf. Sci. Technol., 2020)

SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification. - Jie Zhou 015; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Knowl. Based Syst., 2020)

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. - Xu Chen 017; Kun Xiong; Yongfeng Zhang; Long Xia; Dawei Yin; Jimmy Xiangji Huang (ACM Trans. Inf. Syst., 2020)

A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems. - Xing Tan 002; Jimmy Xiangji Huang (AAAI, 2021)

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. - Chao Huang 001; Jiahui Chen; Lianghao Xia; Yong Xu 007; Peng Dai 001; Yanqing Chen; Liefeng Bo; Jiashu Zhao; Jimmy Xiangji Huang (AAAI, 2021)

Adaptive Cycle-consistent Adversarial Network for Malaria Blood Cell Image Synthetization. - Zhaohui Liang; Jimmy Xiangji Huang (AIPR, 2021)

Cycle-Consistent Adversarial Network with Criterion for COVID-19 Chest X-ray Image Generation. - Zhaohui Liang; Jimmy X. Huang (AMIA, 2021)

CANs: Coupled-Attention Networks for Sarcasm Detection on Social Media. - Xuan Zhao 011; Jimmy X. Huang; Haitian Yang (IJCNN, 2021)

York University at TREC 2021: Deep Learning Track. - Yizheng Huang 002; Jimmy X. Huang (TREC, 2021)

MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. - Jie Zhou 015; Jiabao Zhao; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Neurocomputing, 2021)

DFM: A parameter-shared deep fused model for knowledge base question answering. - Guangyou Zhou; Zhiwen Xie; Zongfu Yu; Jimmy Xiangji Huang (Inf. Sci., 2021)

Global optimization with one-class classification-assisted selection. - Jinyuan Zhang; Jimmy Xiangji Huang; Qinmin Vivian Hu (Swarm Evol. Comput., 2021)

Hierarchical Neighbor Propagation With Bidirectional Graph Attention Network for Relation Prediction. - Zhiwen Xie; Runjie Zhu; Jin Liu 016; Guangyou Zhou; Jimmy Xiangji Huang (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. - Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Vladan Smetana; Chris Stewart; Kees Pouw; Aijun An; Stephen Chan; Lei Liu 047 (ACM Trans. Cyber Phys. Syst., 2021)

Neural Attention Frameworks for Explainable Recommendation. - Omer Tal; Yang Liu 008; Jimmy X. Huang; Xiaohui Yu 001; Bushra Aljbawi (IEEE Trans. Knowl. Data Eng., 2021)

Complexity Analysis of Green Pickup-and-Delivery Problems on Ring Structures. - Xing Tan 002; Jimmy X. Huang; Kai Huang (Canadian AI, 2022)

Hypergraph Contrastive Collaborative Filtering. - Lianghao Xia; Chao Huang 001; Yong Xu 007; Jiashu Zhao; Dawei Yin; Jimmy X. Huang (SIGIR, 2022)

York University at TREC 2022: Deep Learning Track. - Yizheng Huang 002; Jimmy X. Huang (TREC, 2022)

Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy Xiangji Huang (Comput. Linguistics, 2022)

Bert-QAnet: BERT-encoded hierarchical question-answer cross-attention network for duplicate question detection. - Xuan Zhao 011; Jimmy Xiangji Huang (Neurocomputing, 2022)

A probabilistic framework for integrating sentence-level semantics via BERT into pseudo-relevance feedback. - Min Pan; Junmei Wang; Jimmy X. Huang; Angela Jennifer Huang; Qi Chen; Jinguang Chen (Inf. Process. Manag., 2022)

An efficiency relation-specific graph transformation network for knowledge graph representation learning. - Zhiwen Xie; Runjie Zhu; Jin Liu 016; Guangyou Zhou; Jimmy Xiangji Huang (Inf. Process. Manag., 2022)

ARL: An adaptive reinforcement learning framework for complex question answering over knowledge base. - Qixuan Zhang; Xinyi Weng; Guangyou Zhou; Yi Zhang 118; Jimmy Xiangji Huang (Inf. Process. Manag., 2022)

GFCNet: Utilizing graph feature collection networks for coronavirus knowledge graph embeddings. - Zhiwen Xie; Runjie Zhu; Jin Liu 016; Guangyou Zhou; Jimmy Xiangji Huang; Xiaohui Cui (Inf. Sci., 2022)

STCA: Utilizing a spatio-temporal cross-attention network for enhancing video person re-identification. - Amran Bhuiyan; Jimmy Xiangji Huang (Image Vis. Comput., 2022)

Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN. - Zhaohui Liang; Jimmy Xiangji Huang; Sameer K. Antani (Sensors, 2022)

Generating Factoid Questions with Question Type Enhanced Representation and Attention-based Copy Mechanism. - Yue Hu; Haitong Yang; Guangyou Zhou; Jimmy Xiangji Huang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

HGEN: Learning Hierarchical Heterogeneous Graph Encoding for Math Word Problem Solving. - Yi Zhang 118; Guangyou Zhou; Zhiwen Xie; Jimmy Xiangji Huang (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment. - Zhiwen Xie; Runjie Zhu; Kunsong Zhao; Jin Liu 016; Guangyou Zhou; Jimmy Xiangji Huang (ACM Trans. Inf. Syst., 2022)

Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. - Jiashu Zhao; Jimmy Xiangji Huang; Hongbo Deng; Yi Chang 001; Long Xia (ACM Trans. Inf. Syst., 2022)

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets. - Md. Tahmid Rahman Laskar; M. Saiful Bari; Mizanur Rahman; Md Amran Hossen Bhuiyan; Shafiq Joty; Jimmy Xiangji Huang (ACL (Findings), 2023)

Learning Query Adaptive Anchor Representation for Inductive Relation Prediction. - Zhiwen Xie; Yi Zhang 118; Jin Liu 016; Guangyou Zhou; Jimmy Xiangji Huang (ACL (Findings), 2023)

IsoGloVe: A New Count-based Graph Embedding Method based on Geodesic Distance. - Sepideh Nahali; Leila Safari; Alireza Khanteymoori; Hajer Ayadi; Jimmy X. Huang (Canadian AI, 2023)

Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic. - Zhaohui Liang; Zhiyun Xue; Yang Feng; Sivaramakrishnan Rajaraman; Jimmy Xiangji Huang; Sameer K. Antani (BIBM, 2023)

Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers. - Israt Jahan; Md. Tahmid Rahman Laskar; Chun Peng; Jimmy Xiangji Huang (BioNLP@ACL, 2023)

TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning. - Hajer Ayadi; Jimmy X. Huang; Aijun An; Yiming Shao; Hao Zhou; Hossein Pourmodheji (CASCON, 2023)

Diversified Prior Knowledge Enhanced General Language Model for Biomedical Information Retrieval. - Yizheng Huang 002; Jimmy X. Huang (ECAI, 2023)

Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization. - Md. Tahmid Rahman Laskar; Mizanur Rahman; Israt Jahan; Enamul Hoque; Jimmy Xiangji Huang (EMNLP (Findings), 2023)

A Dynamic and Task-Independent Reward Shaping Approach for Discrete Partially Observable Markov Decision Processes. - Sepideh Nahali; Hajer Ayadi; Jimmy X. Huang; Esmat Pakizeh; Mir Mohsen Pedram; Leila Safari (PAKDD (2), 2023)

Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation. - Lei Liu 047; Jimmy Xiangji Huang (SIGIR, 2023)

Term dependency extraction using rule-based Bayesian Network for medical image retrieval. - Hajer Ayadi; Mouna Torjmen Khemakhem; Jimmy X. Huang (Artif. Intell. Medicine, 2023)

CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia. - Md. Tahmid Rahman Laskar; Mizanur Rahman; Israt Jahan; Enamul Hoque; Jimmy Huang 001 (CoRR, 2023)

How to Approach Ambiguous Queries in Conversational Search: A Survey of Techniques, Approaches, Tools, and Challenges. - Kimiya Keyvan; Jimmy Xiangji Huang (ACM Comput. Surv., 2023)

SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet. - Min Pan; Quanli Pei; Yu Liu; Teng Li 012; Ellen Anne Huang; Junmei Wang; Jimmy Xiangji Huang (Knowl. Based Syst., 2023)

TARGAT: A Time-Aware Relational Graph Attention Model for Temporal Knowledge Graph Embedding. - Zhiwen Xie; Runjie Zhu; Jin Liu 016; Guangyou Zhou; Jimmy Xiangji Huang (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Learning to Ask: Conversational Product Search via Representation Learning. - Jie Zou; Jimmy Xiangji Huang; Zhaochun Ren; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2023)

Incorporating global-local neighbors with Gaussian mixture embedding for few-shot knowledge graph completion. - Penghui Xie; Guangyou Zhou; Jin Liu 016; Jimmy Xiangji Huang (Expert Syst. Appl., 2023)

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations. - Md. Tahmid Rahman Laskar; Sawsan Alqahtani; M. Saiful Bari; Mizanur Rahman; Mohammad Abdullah Matin Khan; Haidar Khan; Israt Jahan; Amran Bhuiyan; Chee-Wei Tan 001; Md. Rizwan Parvez; Enamul Hoque; Shafiq Joty; et al. (EMNLP, 2024)

MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness. - Ming Li 072; Lin Li 001; Xiaohui Tao 001; Jimmy Xiangji Huang (SIGIR, 2024)

MTMS: Multi-teacher Multi-stage Knowledge Distillation for Reasoning-Based Machine Reading Comprehension. - Zhuo Zhao; Zhiwen Xie; Guangyou Zhou; Jimmy Xiangji Huang (SIGIR, 2024)

A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks. - Israt Jahan; Md. Tahmid Rahman Laskar; Chun Peng; Jimmy Xiangji Huang (Comput. Biol. Medicine, 2024)

A Survey on Retrieval-Augmented Text Generation for Large Language Models. - Yizheng Huang 002; Jimmy Huang 001 (CoRR, 2024)

Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives. - Emrul Hasan; Mizanur Rahman; Chen Ding 004; Jimmy Xiangji Huang; Shaina Raza (CoRR, 2024)

A Survey on Bundle Recommendation: Methods, Applications, and Challenges. - Meng Sun; Lin Li 001; Ming Li 072; Xiaohui Tao 001; Dong Zhang; Peipei Wang; Jimmy Xiangji Huang (CoRR, 2024)

IGMG: Instance-guided multi-granularity for domain generalizable person re-identification. - Amran Bhuiyan; Jimmy Xiangji Huang; Aijun An (Comput. Vis. Image Underst., 2024)

Topic-aware response selection for dialog systems. - Wei Yuan; Zongyang Ma; Aijun An; Jimmy Xiangji Huang (Nat. Lang. Process. J., 2024)

Learning Dynamic and Static Representations for Extrapolation-Based Temporal Knowledge Graph Reasoning. - Pengfei Li; Guangyou Zhou; Zhiwen Xie; Penghui Xie; Jimmy Xiangji Huang (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Exploring ChatGPT for next-generation information retrieval: Opportunities and challenges. - Yizheng Huang 002; Jimmy X. Huang (Web Intell., 2024)

A semantically enhanced text retrieval framework with abstractive summarization. - Min Pan; Teng Li 012; Yu Liu; Quanli Pei; Ellen Anne Huang; Jimmy X. Huang (Comput. Intell., 2024)

Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing. - Sheng Chai; Jimmy Huang 001 (J. Grid Comput., 2024)

Learning dual disentangled representation with self-supervision for temporal knowledge graph reasoning. - Yao Xiao; Guangyou Zhou; Zhiwen Xie; Jin Liu 016; Jimmy Xiangji Huang (Inf. Process. Manag., 2024)

Number-enhanced representation with hierarchical recursive tree decoding for math word problem solving. - Yi Zhang 118; Guangyou Zhou; Zhiwen Xie; Jimmy Xiangji Huang (Inf. Process. Manag., 2024)

Utilizing passage-level relevance and kernel pooling for enhancing BERT-based document reranking. - Min Pan; Shuting Zhou; Teng Li 012; Yu Liu; Quanli Pei; Angela Jennifer Huang; Jimmy X. Huang (Comput. Intell., 2024)

Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges. - Jiajia Wang; Jimmy Xiangji Huang; Xinhui Tu; Junmei Wang; Angela Jennifer Huang; Md. Tahmid Rahman Laskar; Amran Bhuiyan (ACM Comput. Surv., 2024)

CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension. - Zhuo Zhao; Guangyou Zhou; Zhiwen Xie; Lingfei Wu 001; Jimmy Xiangji Huang (ACM Trans. Intell. Syst. Technol., 2024)

One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion. - Zhiwen Xie; Yi Zhang 118; Guangyou Zhou; Jin Liu 016; Xinhui Tu; Jimmy Xiangji Huang (IEEE Trans. Knowl. Data Eng., 2024)

How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. - Chen Huang 006; Yang Deng 002; Wenqiang Lei; Jiancheng Lv 001; Tat-Seng Chua; Jimmy Huang 001 (ACL (1), 2025)

Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge. - Md. Tahmid Rahman Laskar; Israt Jahan; Elham Dolatabadi; Chun Peng; Enamul Hoque; Jimmy Huang 001 (ACL (1), 2025)

Evaluating the Effectiveness of Cost-Efficient Large Language Models in Benchmark Biomedical Tasks. - Israt Jahan; Md. Tahmid Rahman Laskar; Chun Peng; Jimmy Huang 001 (Canadian AI, 2025)

AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph Reasoning. - Zhiwen Xie; Zhuo Zhao; Jinjin Ma; Guangyou Zhou; Jimmy Xiangji Huang (SIGIR, 2025)

A semantic framework for enhancing pseudo-relevance feedback with soft negative sampling and contrastive learning. - Min Pan; Shuting Zhou; Jinguang Chen; Ellen Anne Huang; Jimmy X. Huang (Inf. Process. Manag., 2025)

Exploring long- and short-term knowledge state graph representations with adaptive fusion for knowledge tracing. - Ganfeng Yu; Zhiwen Xie; Guangyou Zhou; Zhuo Zhao; Jimmy Xiangji Huang (Inf. Process. Manag., 2025)

A diversity-enhanced knowledge distillation model for practical math word problem solving. - Yi Zhang 118; Guangyou Zhou; Zhiwen Xie; Jinjin Ma; Jimmy Xiangji Huang (Inf. Process. Manag., 2025)

Topology-aware GPU job scheduling with deep reinforcement learning and heuristics. - Hajer Ayadi; Aijun An; Yiming Shao; Hossein Pourmedheji; Junjie Deng; Jimmy X. Huang; Michael Feiman; Hao Zhou (J. Parallel Distributed Comput., 2025)

Optimizing domain-generalizable ReID through non-parametric normalization. - Amran Bhuiyan; Aijun An; Jimmy Xiangji Huang; Jialie Shen 001 (Pattern Recognit., 2025)

Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care. - Abeer Badawi; Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Shaina Raza; Elham Dolatabadi (CoRR, 2025)

Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts. - Ming Li 072; Lin Li 001; Xiaohui Tao 001; Dong Zhang; Jimmy Xiangji Huang (CoRR, 2025)

Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning? - Md. Tahmid Rahman Laskar; Mohammed Saidul Islam; Ridwan Mahbub; Ahmed Masry; Mizanur Rahman; Amran Bhuiyan; Mir Tafseer Nayeem; Shafiq Joty; Enamul Hoque; Jimmy Huang 001 (CoRR, 2025)

Evolution of ReID: From Early Methods to LLM Integration. - Amran Bhuiyan; Mizanur Rahman; Md. Tahmid Rahman Laskar; Aijun An; Jimmy Xiangji Huang (CoRR, 2025)

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation. - Dong Zhang; Lin Li 001; Ming Li 072; Xiaohui Tao 001; Meng Sun; Jimmy Xiangji Huang (CoRR, 2025)

Web Intelligence (WI) 3.0: in search of a better-connected world to create a future intelligent society. - Hongzhi Kuai; Jimmy X. Huang; Xiaohui Tao 001; Gabriella Pasi; Yiyu Yao; Jiming Liu 001; Ning Zhong 001 (Artif. Intell. Rev., 2025)