DWT based feature extraction of gene expression data for tissue classification. - Xiaoying Dong; Guangmin Sun; Guandong Xu (Neural Networks and Computational Intelligence, 2004)

Discovering User Access Pattern Based on Probabilistic Latent Factor Model. - Guandong Xu; Yanchun Zhang; Jiangang Ma; Xiaofang Zhou 001 (ADC, 2005)

A Latent Usage Approach for Clustering Web Transaction and Building User Profile. - Yanchun Zhang; Guandong Xu; Xiaofang Zhou 001 (ADMA, 2005)

Towards User Profiling for Web Recommendation. - Guandong Xu; Yanchun Zhang; Xiaofang Zhou 001 (Australian Conference on Artificial Intelligence, 2005)

A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem. - Wenbin Liu; Xiangou Zhu; Guandong Xu; Qiang Zhang 008; Lin Gao 006 (ICIC (2), 2005)

Using Probabilistic Latent Semantic Analysis for Web Page Grouping. - Guandong Xu; Yanchun Zhang; Xiaofang Zhou 001 (RIDE, 2005)

A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis. - Guandong Xu; Yanchun Zhang; Xiaofang Zhou 001 (WISE, 2005)

Discovering task-oriented usage pattern for web recommendation. - Guandong Xu; Yanchun Zhang; Xiaofang Zhou 001 (ADC, 2006)

Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques. - Guandong Xu; Yanchun Zhang; Rezaul K. Begg (ADMA, 2006)

Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier. - Guangmin Sun; Xiaoying Dong; Guandong Xu (Neurocomputing, 2006)

On Web Communities Mining and Analysis. - Yanchun Zhang; Guandong Xu (SKG, 2007)

Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction. - Jaree Thongkam; Guandong Xu; Yanchun Zhang; Fuchun Huang (APWeb Workshops, 2008)

Modelling User Behaviour for Web Recommendation Using LDA Model. - Guandong Xu; Yanchun Zhang; Xun Yi (Web Intelligence/IAT Workshops, 2008)

AdaBoost algorithm with random forests for predicting breast cancer survivability. - Jaree Thongkam; Guandong Xu; Yanchun Zhang (IJCNN, 2008)

Using Web Clustering for Web Communities Mining and Analysis. - Yanchun Zhang; Guandong Xu (Web Intelligence, 2008)

Web Co-clustering of Usage Network Using Tensor Decomposition. - Qingbiao Zhou; Guandong Xu; Yu Zong (Web Intelligence/IAT Workshops, 2009)

Enhancing Web Search by Aggregating Results of Related Web Queries. - Lin Li 001; Guandong Xu; Yanchun Zhang; Masaru Kitsuregawa (WISE, 2009)

On web communities mining and recommendation. - Yanchun Zhang; Guandong Xu (Concurr. Comput. Pract. Exp., 2009)

Toward breast cancer survivability prediction models through improving training space. - Jaree Thongkam; Guandong Xu; Yanchun Zhang; Fuchun Huang (Expert Syst. Appl., 2009)

Singular Value Decomposition. - Yanchun Zhang; Guandong Xu (Encyclopedia of Database Systems, 2009)

A framework of data integration, knowledge management and user behaviour modelling in healthcare applications of diabetes. - Yanchun Zhang; Guandong Xu; Liping Wang; Kerry Bennett (ADC, 2010)

SNSMW 2010 Workshop Organizers' Message. - Yoshinori Hijikata; Guandong Xu (DASFAA Workshops, 2010)

Co-clustering Analysis of Weblogs Using Bipartite Spectral Projection Approach. - Guandong Xu; Yu Zong; Peter Dolog; Yanchun Zhang (KES (3), 2010)

A User Group Clustering Approach in Tagging Systems. - Rong Pan; Guandong Xu; Peter Dolog (LWA, 2010)

Co-clustering for Weblogs in Semantic Space. - Yu Zong; Guandong Xu; Peter Dolog; Yanchun Zhang; Renjin Liu (WISE, 2010)

A robust iterative refinement clustering algorithm with smoothing search space. - Yu Zong; Guandong Xu; Yanchun Zhang; He Jiang 001; Mingchu Li (Knowl. Based Syst., 2010)

SemRec: A Semantic Enhancement Framework for Tag Based Recommendation. - Guandong Xu; Yanhui Gu; Peter Dolog; Yanchun Zhang; Masaru Kitsuregawa (AAAI, 2011)

APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags. - Yu Zong; Guandong Xu; Ping Jin; Yanchun Zhang; Enhong Chen; Rong Pan (ADMA (1), 2011)

Leveraging Wikipedia concept and category information to enhance contextual advertising. - Zongda Wu; Guandong Xu; Rong Pan; Yanchun Zhang; Zhiwen Hu; Jianfeng Lu 002 (CIKM, 2011)

Incorporating Sentiment Analysis for Improved Tag-Based Recommendation. - Qingbiao Zhou; Jie Fang; Guandong Xu (DASC, 2011)

A Local Information Passing Clustering Algorithm for Tagging Systems. - Yu Zong; Guandong Xu; Ping Jin; Peter Dolog; Shan Jiang (DASFAA Workshops, 2011)

On Kernel Information Propagation for Tag Clustering in Social Annotation Systems. - Guandong Xu; Yu Zong; Rong Pan; Peter Dolog; Ping Jin (KES (2), 2011)

A Feature-Free Flexible Approach to Topical Classification of Web Queries. - Lin Li 001; Guandong Xu; Zhenglu Yang; Yanchun Zhang; Masaru Kitsuregawa (SKG, 2011)

TOAST: A Topic-Oriented Tag-Based Recommender System. - Guandong Xu; Yanhui Gu; Yanchun Zhang; Zhenglu Yang; Masaru Kitsuregawa (WISE, 2011)

HC_AB: A new heuristic clustering algorithm based on Approximate Backbone. - Yu Zong; Guandong Xu; Ping Jin; Yanchun Zhang; Enhong Chen (Inf. Process. Lett., 2011)

Random walk based rank aggregation to improving web search. - Lin Li 001; Guandong Xu; Yanchun Zhang; Masaru Kitsuregawa (Knowl. Based Syst., 2011)

Modeling user hidden navigational behavior for Web recommendation. - Guandong Xu; Lin Li 001; Yanchun Zhang; Xun Yi; Masaru Kitsuregawa (Web Intell. Agent Syst., 2011)

Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches. - Xing Chen; Lin Li 001; Guandong Xu; Zhenglu Yang; Masaru Kitsuregawa (AAAI, 2012)

A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks. - Li Liu 001; Dangping Fan; Ming Liu 007; Guandong Xu; Shiping Chen 001; Yuan Zhou; Xiwei Chen; Qianru Wang; Yufeng Wei (ADMA, 2012)

KNN-Based Clustering for Improving Social Recommender Systems. - Rong Pan; Peter Dolog; Guandong Xu (ADMI, 2012)

Group Division for Recommendation in Tag-Based Systems. - Rong Pan; Guandong Xu; Peter Dolog; Yu Zong (CGC, 2012)

Book Recommendation Based on Joint Multi-relational Model. - Qiuzi Shangguan; Liang Hu 004; Jian Cao 001; Guandong Xu (CGC, 2012)

Academic Recommendation on Graph with Dynamic Transfer Chain. - Jia Zhou; Tiejian Luo; Guandong Xu (CGC, 2012)

Finding Related Micro-blogs Based on WordNet. - Lin Li 001; Huifan Xiao; Guandong Xu (DASFAA Workshops, 2012)

On Smart and Accurate Contextual Advertising. - Guandong Xu; Zongda Wu (DASFAA Workshops, 2012)

A projective clustering algorithm based on significant local dense areas. - Yu Zong; Guandong Xu; Ping Jin; Xun Yi; Enhong Chen; Zongda Wu (IJCNN, 2012)

Latent Informative Links Detection. - Liang Hu 004; Jian Cao 001; Guandong Xu; Zhiping Gu (KES, 2012)

An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity. - Bin Fu; Zhihai Wang; Rong Pan; Guandong Xu; Peter Dolog (KMO, 2012)

Learning Tree Structure of Label Dependency for Multi-label Learning. - Bin Fu; Zhihai Wang; Rong Pan; Guandong Xu; Peter Dolog (PAKDD (1), 2012)

Preemptive Hadoop Jobs Scheduling under a Deadline. - Li Liu 001; Yuan Zhou; Ming Liu 007; Guandong Xu; Xiwei Chen; Dangping Fan; Qianru Wang (SKG, 2012)

An Improved Contextual Advertising Matching Approach based on Wikipedia Knowledge. - Zongda Wu; Guandong Xu; Yanchun Zhang; Peter Dolog; Chenglang Lu (Comput. J., 2012)

A feature-free search query classification approach using semantic distance. - Lin Li 001; Luo Zhong; Guandong Xu; Masaru Kitsuregawa (Expert Syst. Appl., 2012)

GMQL: A graphical multimedia query language. - Zongda Wu; Guandong Xu; Yanchun Zhang; Zhongsheng Cao; Guiling Li; Zhiwen Hu (Knowl. Based Syst., 2012)

Executing SQL queries over encrypted character strings in the Database-As-Service model. - Zongda Wu; Guandong Xu; Yu Zong; Xun Yi; Enhong Chen; Yanchun Zhang (Knowl. Based Syst., 2012)

Mining Frequent Patterns in Print Logs with Semantically Alternative Labels. - Xin Li 064; Lei Zhang 060; Enhong Chen; Yu Zong; Guandong Xu (ADMA (2), 2013)

A Spectral Clustering Algorithm Based on Hierarchical Method. - Xiwei Chen; Li Liu 001; Dashi Luo; Guandong Xu; Yonggang Lu; Ming Liu 007; Rongmin Gao (ADMI, 2013)

Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction. - Yue You; Guandong Xu; Jian Cao 001; Yanchun Zhang; Guangyan Huang (APWeb, 2013)

Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. - Liang Wu 011; Alvin Chin; Guandong Xu; Liang Du 003; Xia Wang; Kangjian Meng; Yonggang Guo; Yuanchun Zhou (DASFAA (2), 2013)

Leveraging Supervised Label Dependency Propagation for Multi-label Learning. - Bin Fu; Guandong Xu; Zhihai Wang; Longbing Cao (ICDM, 2013)

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. - Liang Hu 004; Jian Cao 001; Guandong Xu; Jie Wang 006; Zhiping Gu; Longbing Cao (IJCAI, 2013)

OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data. - Alfredo Cuzzocrea; Rim Moussa; Guandong Xu (MEDI, 2013)

Suggestions for Fresh Search Queries by Mining Mircoblog Topics. - Lin Li 001; Xing Chen; Guandong Xu (BSI@PAKDD/BSIC@IJCAI, 2013)

Private data warehouse queries. - Xun Yi; Russell Paulet; Elisa Bertino; Guandong Xu (SACMAT, 2013)

A New Indexing Technique for Supporting By-attribute Membership Query of Multidimensional Data. - Zhu Wang 004; Tiejian Luo; Guandong Xu; Xiang Wang (WAIM Workshops, 2013)

CGMF: Coupled Group-Based Matrix Factorization for Recommender System. - Fangfang Li; Guandong Xu; Longbing Cao; Xiaozhong Fan; Zhendong Niu (WISE (1), 2013)

Community Detection in Multi-relational Social Networks. - Zhiang Wu 001; Wenpeng Yin 001; Jie Cao 001; Guandong Xu; Alfredo Cuzzocrea (WISE (2), 2013)

Personalized recommendation via cross-domain triadic factorization. - Liang Hu 004; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu; Can Zhu (WWW, 2013)

Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page. - Zongda Wu; Guandong Xu; Chenglang Lu; Enhong Chen; Yanchun Zhang; Hong Zhang (Neurocomputing, 2013)

An efficient approach to suggesting topically related web queries using hidden topic model. - Lin Li 001; Guandong Xu; Zhenglu Yang; Peter Dolog; Yanchun Zhang; Masaru Kitsuregawa (World Wide Web, 2013)

Guest editorial: social networks and social Web mining. - Guandong Xu; Jeffrey Xu Yu; Wookey Lee (World Wide Web, 2013)

Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors. - Frederico Araújo Durão; Karunakar Bayyapu; Guandong Xu; Peter Dolog; Ricardo Lage (Handbook of Medical and Healthcare Technologies, 2013)

Deep Modeling of Group Preferences for Group-Based Recommendation. - Liang Hu 004; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu; Wei Cao 012 (AAAI, 2014)

Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. - Nian Liu; Lin Li 001; Guandong Xu; Zhenglu Yang (AAAI, 2014)

A backbone extraction method with Local Search for complex weighted networks. - Zhan Bu; Zhiang Wu 001; Liqiang Qian; Jie Cao 001; Guandong Xu (ASONAM, 2014)

The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data. - Zhu Wang 004; Tiejian Luo; Guandong Xu; Xiang Wang (BigData Congress, 2014)

A confidence-based entity resolution approach with incomplete information. - Qi Gu; Yan Zhang; Jian Cao 001; Guandong Xu; Alfredo Cuzzocrea (DSAA, 2014)

Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms. - Alfredo Cuzzocrea; Guandong Xu (ICCSA (Workshops/Short Papers/Posters), 2014)

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. - Liang Hu 004; Wei Cao 012; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu (ICDM, 2014)

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. - Liang Wu 011; Liang Du 003; Bo Liu 004; Guandong Xu; Yong Ge; Yanjie Fu; Jianhui Li; Yuanchun Zhou; Hui Xiong 001 (ICDM, 2014)

Mining user tasks from print logs. - Xin Li 064; Lei Zhang 060; Ping Luo 001; Enhong Chen; Guandong Xu; Yu Zong; Chu Guan (IJCNN, 2014)

A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures. - Alfredo Cuzzocrea; Guandong Xu (OTM Workshops, 2014)

Coupled Item-Based Matrix Factorization. - Fangfang Li; Guandong Xu; Longbing Cao (WISE (1), 2014)

Special Issue on Social Computing and its Applications. - Guandong Xu; Aoying Zhou; Nitin Agarwal 001 (Comput. J., 2014)

CMF: Coupled Matrix Factorization for Recommender Systems. - Fangfang Li; Guandong Xu; Longbing Cao; Xiaozhong Fan; Zhendong Niu (CoRR, 2014)

Social network-based service recommendation with trust enhancement. - ShuiGuang Deng; Longtao Huang; Guandong Xu (Expert Syst. Appl., 2014)

Behavior Informatics: A New Perspective. - Longbing Cao; Thorsten Joachims; Can Wang 004; Éric Gaussier; Jinjiu Li; Yuming Ou; Dan Luo 001; Reza Zafarani; Huan Liu 001; Guandong Xu; Zhiang Wu 001; Gabriella Pasi; et al. (IEEE Intell. Syst., 2014)

Online IS Education for the 21st Century. - Wu He; Guandong Xu; S. E. Kruck (J. Inf. Syst. Educ., 2014)

Social cyber systems - Challenges, opportunities, and beyond. - Nitin Agarwal 001; Aoying Zhou; Guandong Xu (J. Syst. Softw., 2014)

Expanding user's query with tag-neighbors for effective medical information retrieval. - Frederico Araújo Durão; Karunakar Bayyapu; Guandong Xu; Peter Dolog; Ricardo Lage (Multim. Tools Appl., 2014)

Multi-label learning based on iterative label propagation over graph. - Bin Fu; Zhihai Wang; Guandong Xu; Longbing Cao (Pattern Recognit. Lett., 2014)

Exploration on efficient similar sentences extraction. - Yanhui Gu; Zhenglu Yang; Guandong Xu; Miyuki Nakano; Masashi Toyoda; Masaru Kitsuregawa (World Wide Web, 2014)

Models for Community Dynamics. - Guandong Xu; Zhiang Wu 001; Jie Cao 001; Haicheng Tao (Encyclopedia of Social Network Analysis and Mining, 2014)

An Approach for Mapping Relational Database into Ontology. - Mohamed A. G. Hazber; Ruixuan Li 001; Yuxi Zhang; Guandong Xu (IEEE WISA, 2015)

An analysis of new visitors' website behaviour before & after TV advertising. - Kyrylo Medvediev; Guandong Xu; Shlomo Berkovsky; Yury Onikienko (BESC, 2015)

Learning to rank domain experts in microblogging by combining text and non-text features. - Lu Qi; Yanyi Huang; Lin Li 001; Guandong Xu (BESC, 2015)

Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis. - Alfredo Cuzzocrea; Rim Moussa; Guandong Xu; Giorgio Mario Grasso (CCGRID, 2015)

MARS: A multi-aspect Recommender system for Point-of-Interest. - Xin Li 064; Guandong Xu; Enhong Chen; Lin Li 001 (ICDE, 2015)

Learning User Preferences across Multiple Aspects for Merchant Recommendation. - Xin Li 064; Guandong Xu; Enhong Chen; Lin Li 001 (ICDM, 2015)

OLAP-enabled web search of complex objects. - Alfredo Cuzzocrea; Guandong Xu; Giorgio Mario Grasso (iiWAS, 2015)

Intelligent Sybil Attack Detection on Abnormal Connectivity Behavior in Mobile Social Networks. - Anand Chinchore; Frank Jiang 001; Guandong Xu (KMO, 2015)

Hashtag Biased Ranking for Keyword Extraction from Microblog Posts. - Lin Li 001; Chang Su; Yueqing Sun; Shengwu Xiong 001; Guandong Xu (KSEM, 2015)

Coupling Multiple Views of Relations for Recommendation. - Bin Fu; Guandong Xu; Longbing Cao; Zhihai Wang; Zhiang Wu 001 (PAKDD (2), 2015)

Coupled Matrix Factorization Within Non-IID Context. - Fangfang Li; Guandong Xu; Longbing Cao (PAKDD (2), 2015)

Semantic SPARQL Query in a Relational Database Based on Ontology Construction. - Mohamed A. G. Hazber; Ruixuan Li 001; Xiwu Gu; Guandong Xu; Yuhua Li 003 (SKG, 2015)

CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data. - Fangfang Li; Guandong Xu; Longbing Cao (CoRR, 2015)

Coupling Analysis Between Twitter and Call Centre. - Fangfang Li; Yanchang Zhao; Klaus Felsche; Guandong Xu; Longbing Cao (CoRR, 2015)

Exploring user emotion in microblogs for music recommendation. - ShuiGuang Deng; Dongjing Wang; Xitong Li; Guandong Xu (Expert Syst. Appl., 2015)

Learning recency based comparative choice towards point-of-interest recommendation. - Xin Li 064; Guandong Xu; Enhong Chen; Yu Zong (Expert Syst. Appl., 2015)

Social networking meets recommender systems: survey. - Guandong Xu; Zhiang Wu 001; Yanchun Zhang; Jie Cao 001 (Int. J. Soc. Netw. Min., 2015)

Constructing plausible innocuous pseudo queries to protect user query intention. - Zongda Wu; Jie Shi; Chenglang Lu; Enhong Chen; Guandong Xu; Guiling Li; Sihong Xie; Philip S. Yu (Inf. Sci., 2015)

KIPTC: a kernel information propagation tag clustering algorithm. - Guandong Xu; Yu Zong; Ping Jin; Rong Pan; Zongda Wu (J. Intell. Inf. Syst., 2015)

Improving contextual advertising matching by using Wikipedia thesaurus knowledge. - Guandong Xu; Zongda Wu; Guiling Li; Enhong Chen (Knowl. Inf. Syst., 2015)

Guest Editorial: Advanced Technologies and Services for Multimedia Big Data Processing. - Young-Sik Jeong; Mei-Ling Shyu; Guandong Xu; Roland R. Wagner (Multim. Tools Appl., 2015)

Classifying sybil in MSNs using C4.5. - Anand Chinchore; Guandong Xu; Frank Jiang 001 (BESC, 2016)

Deployment of churn prediction model in financial services industry. - Charles Chu; Guandong Xu; James Brownlow; Bin Fu (BESC, 2016)

Coupled behavioral analysis for user preference-based email spamming. - Frank Jiang 001; Jin Gan; Yuanyuan Xu; Guandong Xu (BESC, 2016)

Applying client churn prediction modeling on home-based care services industry. - Raul Manongdo; Guandong Xu (BESC, 2016)

Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation. - Yan Chen; Xin Li 064; Lin Li 001; Guiquan Liu; Guandong Xu (DASFAA (1), 2016)

Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation. - Xiao Zhu; Guandong Xu (ES, 2016)

An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases. - Mohamed A. G. Hazber; Ruixuan Li 001; Guandong Xu; Khaled M. Alalayah (ICYCSEE (1), 2016)

CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. - Hao Guo 016; Xin Li 064; Ming He; Xiangyu Zhao 001; Guiquan Liu; Guandong Xu (KSEM, 2016)

Learning Music Embedding with Metadata for Context Aware Recommendation. - Dongjing Wang; ShuiGuang Deng; Xin Zhang 079; Guandong Xu (ICMR, 2016)

GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach. - Dongjing Wang; ShuiGuang Deng; Guandong Xu (WISE (1), 2016)

Predicting Replacement of Smartphones with Mobile App Usage. - Dun Yang; Zhiang Wu 001; Xiaopeng Wang; Jie Cao 001; Guandong Xu (WISE (1), 2016)

Improving Music Recommendation Using Distributed Representation. - Dongjing Wang; ShuiGuang Deng; Songguo Liu; Guandong Xu (WWW (Companion Volume), 2016)

Point-of-Interest Recommendations via a Supervised Random Walk Algorithm. - Guandong Xu; Bin Fu; Yanhui Gu (IEEE Intell. Syst., 2016)

Protecting private geosocial networks against practical hybrid attacks with heterogeneous information. - Yuechuan Li; Yidong Li; Guandong Xu (Neurocomputing, 2016)

Recommendation using DMF-based fine tuning method. - Zhiyuan Zhang 003; Yun Liu 001; Guandong Xu; Gui Xun Luo (J. Intell. Inf. Syst., 2016)

A weighted adaptation method on learning user preference profile. - Zhiyuan Zhang 003; Yun Liu 001; Guandong Xu; Haiqiang Chen (Knowl. Based Syst., 2016)

Two-level matrix factorization for recommender systems. - Fangfang Li; Guandong Xu; Longbing Cao (Neural Comput. Appl., 2016)

Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information. - Wu He; Guandong Xu (Online Inf. Rev., 2016)

Private Cell Retrieval From Data Warehouses. - Xun Yi; Russell Paulet; Elisa Bertino; Guandong Xu (IEEE Trans. Inf. Forensics Secur., 2016)

Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. - Liang Hu 004; Longbing Cao; Jian Cao 001; Zhiping Gu; Guandong Xu; Dingyu Yang (ACM Trans. Inf. Syst., 2016)

Combining heterogeneous features for time series prediction. - Charles Chu; James Brownlow; Qinxue Meng; Bin Fu; Ben Culbert; Min Zhu; Guandong Xu; Xuezhong He (BESC, 2017)

Towards simplified insurance application via sparse questionnaire optimization. - Shaowu Liu; Guandong Xu; Xiao Zhu; Zili Zhou (BESC, 2017)

The volatility of Bitcoin returns and its correlation to financial markets. - Nhi N. Y. Vo; Guandong Xu (BESC, 2017)

Latent factor analysis for low-dimensional implicit preference prediction. - Zili Zhou; Guandong Xu; Xiao Zhu; Shaowu Liu (BESC, 2017)

Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition. - Yueqing Sun; Lin Li 001; Zhongwei Xie; Qing Xie 002; Xin Li 064; Guandong Xu (DASFAA (2), 2017)

Diversifying Personalized Recommendation with User-session Context. - Liang Hu 004; Longbing Cao; Shoujin Wang; Guandong Xu; Jian Cao 001; Zhiping Gu (IJCAI, 2017)

Music recommendation via heterogeneous information graph embedding. - Dongjing Wang; Guandong Xu; ShuiGuang Deng (IJCNN, 2017)

Structure embedding for knowledge base completion and analytics. - Zili Zhou; Guandong Xu; Wenhao Zhu; Jinyan Li 001; Wu Zhang (IJCNN, 2017)

Collaborative Filtering via Different Preference Structures. - Shaowu Liu; Na Pang; Guandong Xu; Huan Liu 001 (KSEM, 2017)

What comes first the Co-authorship Network or the Citation? - Adam Butler; Guandong Xu; Xuezhong He (MISNC, 2017)

Exploiting Geographical Location for Team Formation in Social Coding Sites. - Yuqiang Han; Yao Wan 001; Liang Chen 001; Guandong Xu; Jian Wu 001 (PAKDD (1), 2017)

An Enhanced Convolutional Neural Network Model for Answer Selection. - Jiahui Guo; Bin Yue; Guandong Xu; Zhenglu Yang; Jin-Mao Wei 001 (WWW (Companion Volume), 2017)

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. - Runze Wu 001; Guandong Xu; Enhong Chen; Qi Liu 003; Wan Ng (WWW (Companion Volume), 2017)

A topic modeling based approach to novel document automatic summarization. - Zongda Wu; Li Lei; Guiling Li; Hui Huang; Chengren Zheng; Enhong Chen; Guandong Xu (Expert Syst. Appl., 2017)

An efficient Wikipedia semantic matching approach to text document classification. - Zongda Wu; Hui Zhu; Guiling Li; Zongmin Cui; Hui Huang; Jun Li; Enhong Chen; Guandong Xu (Inf. Sci., 2017)

On Deep Learning for Trust-Aware Recommendations in Social Networks. - ShuiGuang Deng; Longtao Huang; Guandong Xu; Xindong Wu 001; Zhaohui Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. - Liang Hu 004; Longbing Cao; Jian Cao 001; Zhiping Gu; Guandong Xu; Jie Wang 006 (ACM Trans. Inf. Syst., 2017)

Automated Underwriting in Life Insurance: Predictions and Optimisation. - Rhys Biddle; Shaowu Liu; Peter Tilocca; Guandong Xu (ADC, 2018)

Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach. - Ben Culbert; Bin Fu; James Brownlow; Charles Chu; Qinxue Meng; Guandong Xu (ADC, 2018)

Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses. - Rhys Biddle; Shaowu Liu; Guandong Xu (BESC, 2018)

Research Performance Reporting is Fallacious. - Adam Butler; Guandong Xu; Katarzyna Musial (BESC, 2018)

Taxpayer Behavior Prediction in SMS Campaigns. - Guiming Cao; Alan Downes; Shuraia Khan; Wendy Wong; Guandong Xu (BESC, 2018)

Cost-Sensitive Churn Prediction in Fund Management Services. - James Brownlow; Charles Chu; Bin Fu; Guandong Xu; Ben Culbert; Qinxue Meng (DASFAA (2), 2018)

Client Churn Prediction with Call Log Analysis. - Nhi N. Y. Vo; Shaowu Liu; James Brownlow; Charles Chu; Ben Culbert; Guandong Xu (DASFAA (2), 2018)

Sequential Recommender System based on Hierarchical Attention Networks. - Haochao Ying; Fuzhen Zhuang; Fuzheng Zhang; Yanchi Liu; Guandong Xu; Xing Xie 001; Hui Xiong 001; Jian Wu 001 (IJCAI, 2018)

A Multiple Source based Transfer Learning Framework for Marketing Campaigns. - James Brownlow; Charles Chu; Guandong Xu; Ben Culbert; Bin Fu; Qinxue Meng (IJCNN, 2018)

Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA. - Muhammad Imran Razzak; Raghib M. Abu-Saris; Michael Blumenstein; Guandong Xu (IJCNN, 2018)

Workshop Proposal on Knowledge Discovery from Digital Libraries. - Hui Shi; Wu He; Guandong Xu (JCDL, 2018)

Improving automatic source code summarization via deep reinforcement learning. - Yao Wan 001; Zhou Zhao 001; Min Yang 007; Guandong Xu; Haochao Ying; Jian Wu 001; Philip S. Yu (ASE, 2018)

Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter. - Zafar Saeed; Rabeeh Ayaz Abbasi; Abida Sadaf; Muhammad Imran Razzak; Guandong Xu (PAKDD (2), 2018)

Multimodal Mixture Density Boosting Network for Personality Mining. - Nhi N. Y. Vo; Shaowu Liu; Xuezhong He; Guandong Xu (PAKDD (1), 2018)

Social Spammer Detection: A Multi-Relational Embedding Approach. - Jun Yin 005; Zili Zhou; Shaowu Liu; Zhiang Wu 001; Guandong Xu (PAKDD (1), 2018)

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. - Zili Zhou; Shaowu Liu; Guandong Xu; Xing Xie 001; Jun Yin 005; Yidong Li; Wu Zhang (PAKDD (2), 2018)

An Effective Joint Framework for Document Summarization. - Min Gui; Zhengkun Zhang; Zhenglu Yang; Yanhui Gu; Guandong Xu (WWW (Companion Volume), 2018)

An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection. - Hongzhi Zhang; Guandong Xu; Xiao Liang; Guangluan Xu; Feng Li 030; Kun Fu 001; Lei Wang 077; Tinglei Huang 001 (IEEE Access, 2018)

An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering. - Hongzhi Zhang; Guandong Xu; Xiao Liang; Tinglei Huang 001; Kun Fu 001 (CoRR, 2018)

An approach for the protection of users' book browsing preference privacy in a digital library. - Zongda Wu; Chengren Zheng; Jian Xiejian; Zhifeng Zhou; Guandong Xu; Enhong Chen (Electron. Libr., 2018)

GIST: A generative model with individual and subgroup-based topics for group recommendation. - Ke Ji; Zhenxiang Chen; Runyuan Sun; Kun Ma 001; Zhongjie Yuan; Guandong Xu (Expert Syst. Appl., 2018)

Exploiting cross-source knowledge for warming up community question answering services. - Yao Wan 001; Guandong Xu; Liang Chen 001; Zhou Zhao 001; Jian Wu 001 (Neurocomputing, 2018)

Sequence-based context-aware music recommendation. - Dongjing Wang; Shuiguang Deng; Guandong Xu (Inf. Retr. J., 2018)

An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology. - Mohamed A. G. Hazber; Bing Li 010; Guandong Xu; Mohammed A. S. Mosleh; Xiwu Gu; Yuhua Li 003 (J. Softw., 2018)

Unsupervised Keyword Extraction from Microblog Posts via Hashtags. - Lin Li 001; Jinghang Liu; Yueqing Sun; Guandong Xu; Jingling Yuan; Luo Zhong (J. Web Eng., 2018)

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. - Qi Liu 003; Runze Wu 001; Enhong Chen; Guandong Xu; Yu Su 002; Zhigang Chen 003; Guoping Hu (ACM Trans. Intell. Syst. Technol., 2018)

Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation. - Zongda Wu; Guiling Li; Qi Liu 003; Guandong Xu; Enhong Chen (IEEE Trans. Serv. Comput., 2018)

An enhanced short text categorization model with deep abundant representation. - Yanhui Gu; Min Gu; Yi Long; Guandong Xu; Zhenglu Yang; Junsheng Zhou; Weiguang Qu (World Wide Web, 2018)

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. - Yao Wan 001; Liang Chen 001; Guandong Xu; Zhou Zhao 001; Jie Tang 001; Jian Wu 001 (World Wide Web, 2018)

Learning to embed music and metadata for context-aware music recommendation. - Dongjing Wang; Shuiguang Deng; Xin Zhang 079; Guandong Xu (World Wide Web, 2018)

An effective approach for the protection of privacy text data in the CloudDB. - Zongda Wu; Guandong Xu; Chenglang Lu; Enhong Chen; Fang Jiang; Guiling Li (World Wide Web, 2018)

Singular Value Decomposition. - Yanchun Zhang; Guandong Xu (Encyclopedia of Database Systems (2nd ed.), 2018)

Models for Community Dynamics. - Guandong Xu; Zhiang Wu 001; Jie Cao 001; Haicheng Tao (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

On Completing Sparse Knowledge Base with Transitive Relation Embedding. - Zili Zhou; Shaowu Liu; Guandong Xu; Wu Zhang (AAAI, 2019)

Prediction and Analysis of Rumour's Impact on Social Media. - Jun Yin 005; Shaowu Liu; Qian Li 003; Guandong Xu (BESC, 2019)

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market. - Ming Zhao; Yangyang Shu; Shaowu Liu; Guandong Xu (BESC, 2019)

Polynomial Representation for Persistence Diagram. - Zhichao Wang 001; Qian Li 003; Gang Li 009; Guandong Xu (CVPR, 2019)

A Boundary-aware Neural Model for Nested Named Entity Recognition. - Changmeng Zheng; Yi Cai 001; Jingyun Xu; Ho-fung Leung; Guandong Xu (EMNLP/IJCNLP (1), 2019)

Multi-modal Attention Network Learning for Semantic Source Code Retrieval. - Yao Wan 001; Jingdong Shu; Yulei Sui; Guandong Xu; Zhou Zhao 001; Jian Wu 001; Philip S. Yu (ASE, 2019)

Emotion Recognition from Music Enhanced by Domain Knowledge. - Yangyang Shu; Guandong Xu (PRICAI (1), 2019)

Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]. - Zafar Saeed; Rabeeh Ayaz Abbasi; Muhammad Imran Razzak; Guandong Xu (IEEE Comput. Intell. Mag., 2019)

Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach. - Zafar Saeed; Rabeeh Ayaz Abbasi; Muhammad Imran Razzak; Guandong Xu (CoRR, 2019)

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. - Peipei Wang; Lin Li 001; Yi Yu; Guandong Xu (CoRR, 2019)

Deep learning for decision making and the optimization of socially responsible investments and portfolio. - Nhi N. Y. Vo; Xuezhong He; Shaowu Liu; Guandong Xu (Decis. Support Syst., 2019)

Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks. - Zafar Saeed; Rabeeh Ayaz Abbasi; Imran Razzak; Onaiza Maqbool; Abida Sadaf; Guandong Xu (Expert Syst. Appl., 2019)

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter. - Zafar Saeed; Rabeeh Ayaz Abbasi; Onaiza Maqbool; Abida Sadaf; Imran Razzak; Ali Daud; Naif Radi Aljohani; Guandong Xu (J. Grid Comput., 2019)

Constrained nonnegative matrix factorization-based semi-supervised multilabel learning. - Dingguo Yu; Bin Fu; Guandong Xu; Aihong Qin (Int. J. Mach. Learn. Cybern., 2019)

BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data. - Xiaofeng Cao 002; Baozhi Qiu; Guandong Xu (Pattern Anal. Appl., 2019)

Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks. - Muhammad Imran Razzak; Muhammad Imran 001; Guandong Xu (IEEE J. Biomed. Health Informatics, 2019)

Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. - Xiaofeng Cao 002; Baozhi Qiu; Xiangli Li; Zenglin Shi; Guandong Xu; Jianliang Xu (IEEE Trans. Neural Networks Learn. Syst., 2019)

SMS: A Framework for Service Discovery by Incorporating Social Media Information. - Tingting Liang; Liang Chen 001; Jian Wu 001; Guandong Xu; Zhaohui Wu 001 (IEEE Trans. Serv. Comput., 2019)

A general framework for learning prosodic-enhanced representation of rap lyrics. - Hongru Liang; Haozheng Wang; Qian Li 016; Jun Wang 023; Guandong Xu; Jiawei Chen; Jin-Mao Wei 001; Zhenglu Yang (World Wide Web, 2019)

Time-aware metric embedding with asymmetric projection for successive POI recommendation. - Haochao Ying; Jian Wu 001; Guandong Xu; Yanchi Liu; Tingting Liang; Xiao Zhang 015; Hui Xiong 001 (World Wide Web, 2019)

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. - Md. Rafiqul Islam 004; Shaowu Liu; Imran Razzak; Muhammad Ashad Kabir; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (BESC, 2020)

Electricity Price Forecasting using Convolution and LSTM Models. - Dhruv Aditya Mittal; Shaowu Liu; Guandong Xu (BESC, 2020)

Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning. - Yangyang Shu; Yulei Sui; Hongyu Zhang 002; Guandong Xu (ESEM, 2020)

FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint. - Yao Wu; Jian Cao 001; Guandong Xu (ICSOC, 2020)

Joint Relational Dependency Learning for Sequential Recommendation. - Xiangmeng Wang; Qian Li 003; Wu Zhang; Guandong Xu; Shaowu Liu; Wenhao Zhu (PAKDD (1), 2020)

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. - Rhys Biddle; Aditya Joshi; Shaowu Liu; Cécile Paris; Guandong Xu (WWW, 2020)

TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search. - Wenhua Wang; Yuqun Zhang; Zhengran Zeng; Guandong Xu (CoRR, 2020)

Causality Learning: A New Perspective for Interpretable Machine Learning. - Guandong Xu; Tri Dung Duong; Qian Li 003; Shaowu Liu; Xianzhi Wang 001 (CoRR, 2020)

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. - Hamad Zogan; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (CoRR, 2020)

NaturalCC: A Toolkit to Naturalize the Source Code Corpus. - Yao Wan 001; Yang He; Jianguo Zhang 005; Yulei Sui; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (CoRR, 2020)

Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data. - Imran Razzak; Khurram Zafar; Muhammad Imran 001; Guandong Xu (Future Gener. Comput. Syst., 2020)

Learning with privileged information for photo aesthetic assessment. - Yangyang Shu; Qian Li 003; Shaowu Liu; Guandong Xu (Neurocomputing, 2020)

Big data analytics for preventive medicine. - Muhammad Imran Razzak; Muhammad Imran 001; Guandong Xu (Neural Comput. Appl., 2020)

Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. - Imran Razzak; Raghib M. Abu-Saris; Michael Blumenstein; Guandong Xu (Neural Networks, 2020)

Deep learning for misinformation detection on online social networks: a survey and new perspectives. - Md. Rafiqul Islam 004; Shaowu Liu; Xianzhi Wang 001; Guandong Xu (Soc. Netw. Anal. Min., 2020)

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. - Zongda Wu; Ruiqin Wang; Qi Li 025; Xinze Lian; Guandong Xu; Enhong Chen; Xiyang Liu (IEEE Trans. Veh. Technol., 2020)

Generative temporal link prediction via self-tokenized sequence modeling. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui; Guandong Xu (World Wide Web, 2020)

Harnessing Privileged Information for Hyperbole Detection. - Rhys Biddle; Maciek Rybinski; Qian Li 003; Cécile Paris; Guandong Xu (ALTA, 2021)

ExVis: Explainable Visual Decision Support System for Risk Management. - Md. Rafiqul Islam 004; Jiaming Zhang; Md. Hamjajul Ashmafee; Imran Razzak; Jianlong Zhou; Xianzhi Wang 001; Guandong Xu (BESC, 2021)

Hyperbolic Hypergraphs for Sequential Recommendation. - Yicong Li 001; Hongxu Chen 002; Xiangguo Sun; Zhenchao Sun; Lin Li 001; Lizhen Cui; Philip S. Yu; Guandong Xu (CIKM, 2021)

Click-Through Rate Prediction with Multi-Modal Hypergraphs. - Li He; Hongxu Chen 002; Dingxian Wang; Shoaib Jameel; Philip S. Yu; Guandong Xu (CIKM, 2021)

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. - Li He; Dingxian Wang; Hanzhang Wang; Hongxu Chen 002; Guandong Xu (CIKM, 2021)

Causal-Aware Generative Imputation for Automated Underwriting. - Qian Li 003; Tri Dung Duong; Zhichao Wang 001; Shaowu Liu; Dingxian Wang; Guandong Xu (CIKM, 2021)

Hilbert Sinkhorn Divergence for Optimal Transport. - Qian Li 003; Zhichao Wang 001; Gang Li 009; Jun Pang 001; Guandong Xu (CVPR, 2021)

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. - Haoran Yang; Hongxu Chen 002; Lin Li 001; Philip S. Yu; Guandong Xu (ICDM, 2021)

Stochastic Intervention for Causal Effect Estimation. - Tri Dung Duong; Qian Li 003; Guandong Xu (IJCNN, 2021)

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. - Md. Rafiqul Islam 004; Imran Razzak; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (IJCNN, 2021)

ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System. - Joshua Zerafa; Md. Rafiqul Islam 004; Muhammad Ashad Kabir; Guandong Xu (IV, 2021)

Where are we in embedding spaces? - Sixiao Zhang; Hongxu Chen 002; Xiao Ming; Lizhen Cui; Hongzhi Yin; Guandong Xu (KDD, 2021)

C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction. - Yu Chu; Lin Li 001; Qing Xie 002; Guandong Xu (PAKDD (1), 2021)

TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. - Yao Wu; Jian Cao 001; Guandong Xu; Yudong Tan (SIGIR, 2021)

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (SIGIR, 2021)

HACK: A Hierarchical Model for Fake News Detection. - Yanqi Li; Ke Ji; Kun Ma 001; Zhenxiang Chen; Jun Wu 007; Yidong Li; Guandong Xu (WISE (1), 2021)

Expert Recommendations with Temporal Dynamics of User Interest in CQA. - Xiaoqi Lv; Ke Ji; Zhenxiang Chen; Kun Ma 001; Jun Wu 007; Yidong Li; Guandong Xu (WISE (1), 2021)

Temporal Meta-path Guided Explainable Recommendation. - Hongxu Chen 002; Yicong Li 001; Xiangguo Sun; Guandong Xu; Hongzhi Yin (WSDM, 2021)

Time-aware sequence model for next-item recommendation. - Dongjing Wang; Dengwei Xu; Dongjin Yu; Guandong Xu (Appl. Intell., 2021)

Hyperbolic Neural Collaborative Recommender. - Anchen Li; Bo Yang 002; Hongxu Chen 002; Guandong Xu (CoRR, 2021)

Prototype-based Counterfactual Explanation for Causal Classification. - Tri Dung Duong; Qian Li 003; Guandong Xu (CoRR, 2021)

Be Causal: De-biasing Social Network Confounding in Recommendation. - Qian Li 003; Xiangmeng Wang; Guandong Xu (CoRR, 2021)

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. - Sixiao Zhang; Hongxu Chen 002; Xiao Ming; Lizhen Cui; Hongzhi Yin; Guandong Xu (CoRR, 2021)

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2021)

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions. - Md. Rafiqul Islam 004; Shanjita Akter; Md Rakybuzzaman Ratan; Abu Raihan M. Kamal; Guandong Xu (Hum. Centric Intell. Syst., 2021)

Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief. - Tianrui Li 001; Guandong Xu (Hum. Centric Intell. Syst., 2021)

DiaVis: Exploration and Analysis of Diabetes through Visual Interactive System. - Mosiur Rahman; Md. Rafiqul Islam 004; Sharmin Akter; Shanjita Akter; Linta Islam; Guandong Xu (Hum. Centric Intell. Syst., 2021)

Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling. - Pan Gu; Yuqiang Han; Wei Gao 001; Guandong Xu; Jian Wu 001 (Neurocomputing, 2021)

Leveraging multi-level dependency of relational sequences for social spammer detection. - Jun Yin 005; Qian Li 003; Shaowu Liu; Zhiang Wu 001; Guandong Xu (Neurocomputing, 2021)

Leveraging unstructured call log data for customer churn prediction. - Nhi N. Y. Vo; Shaowu Liu; Xitong Li; Guandong Xu (Knowl. Based Syst., 2021)

From text to graph: a general transition-based AMR parsing using neural network. - Min Gu; Yanhui Gu; Weilan Luo; Guandong Xu; Zhenglu Yang; Junsheng Zhou; Weiguang Qu (Neural Comput. Appl., 2021)

Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information. - Zongxi Li; Haoran Xie 001; Guandong Xu; Qing Li 001; Mingming Leng; Chi Zhou 001 (Pattern Recognit., 2021)

Socially-driven multi-interaction attentive group representation learning for group recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Guandong Xu; Jianwei Zhang 002 (Pattern Recognit. Lett., 2021)

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. - Jun Jason Zhang; Fei-Yue Wang 001; Yong Yuan; Guandong Xu; Huan Liu 001; Wei Gao 001; Shoaib Jameel; Imran Razzak; Peter W. Eklund; Sheraz Ahmed; Rui Qin 002; Juanjuan Li; et al. (IEEE Trans. Comput. Soc. Syst., 2021)

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. - Jianlong Zhou; Hamad Zogan; Shuiqiao Yang; Shoaib Jameel; Guandong Xu; Fang Chen 001 (IEEE Trans. Comput. Soc. Syst., 2021)

CAME: Content- and Context-Aware Music Embedding for Recommendation. - Dongjing Wang; Xin Zhang 079; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Neural Networks Learn. Syst., 2021)

FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks. - Wei Hua 004; Yulei Sui; Yao Wan 001; Guangzhong Liu; Guandong Xu (IEEE Trans. Reliab., 2021)

Aspect-level sentiment capsule network for micro-video click-through rate prediction. - Yuqiang Han; Pan Gu; Wei Gao 001; Guandong Xu; Jian Wu 001 (World Wide Web, 2021)

RLINK: Deep reinforcement learning for user identity linkage. - Xiaoxue Li; Yanan Cao 001; Qian Li 003; Yanmin Shang; Yangxi Li; Yanbing Liu; Guandong Xu (World Wide Web, 2021)

Attentive sequential model based on graph neural network for next poi recommendation. - Dongjing Wang; Xingliang Wang; Zhengzhe Xiang; Dongjin Yu; Shuiguang Deng; Guandong Xu (World Wide Web, 2021)

Constructing dummy query sequences to protect location privacy and query privacy in location-based services. - Zongda Wu; Guiling Li; Shigen Shen; Xinze Lian; Enhong Chen; Guandong Xu (World Wide Web, 2021)

DFIAM: deep factorization integrated attention mechanism for smart TV recommendation. - Yijie Zhou; Xuewen Shen; Suiyu Zhang; Dingguo Yu; Guandong Xu (World Wide Web, 2021)

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. - Hadeel Alhosaini; Xianzhi Wang 001; Lina Yao 001; Yakun Chen; Guandong Xu (SCC, 2022)

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (ADMA (1), 2022)

Blockchain-based solutions for Humanitarian supply Chain Management. - Bavly Hanna; Guandong Xu; Xianzhi Wang 001; Md. Jahangir Hossain 001 (AMCIS, 2022)

Predicting Financial Literacy via Semi-supervised Learning. - David Hason Rudd; Huan Huo; Guandong Xu (AI, 2022)

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Jing Jiang 002; Guandong Xu (AI, 2022)

Evidence-Based Process in Research Involving Machine Learning Algorithms. - Wilson Kurnia Lukmanjaya; Md. Rafiqul Islam 004; Guandong Xu (BESC, 2022)

ECTRS: A Personalised Early Career Trajectory Recommender System for Youths. - Avery Tzeng Chiet Ngiam; Md. Rafiqul Islam 004; Guandong Xu (BESC, 2022)

Big Data and Artificial Intelligence (AI) to Detect Glaucoma. - Lei Yang; Yao Xie; Md. Rafiqul Islam 004; Guandong Xu (BESC, 2022)

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. - Kangzheng Liu; Feng Zhao 003; Hongxu Chen 002; Yicong Li 001; Guandong Xu; Hai Jin 001 (CIKM, 2022)

DialMed: A Dataset for Dialogue-based Medication Recommendation. - Zhenfeng He; Yuqiang Han; Zhenqiu Ouyang; Wei Gao 001; Hongxu Chen 002; Guandong Xu; Jian Wu 001 (COLING, 2022)

Can Language Models Serve as Temporal Knowledge Bases? - Ruilin Zhao; Feng Zhao 003; Guandong Xu; Sixiao Zhang; Hai Jin 001 (EMNLP (Findings), 2022)

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. - Kangzheng Liu; Feng Zhao 003; Guandong Xu; Xianzhi Wang 001; Hai Jin 001 (ICDM, 2022)

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. - Yakun Chen; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guodong Long; Guandong Xu (ICONIP (5), 2022)

NaturalCC: An Open-Source Toolkit for Code Intelligence. - Yao Wan 001; Yang He; Zhangqian Bi; Jianguo Zhang 005; Yulei Sui; Hongyu Zhang 002; Kazuma Hashimoto; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (ICSE-Companion, 2022)

What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. - Yao Wan 001; Wei Zhao 040; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001 (ICSE, 2022)

Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition. - David Hason Rudd; Huan Huo; Guandong Xu (PAKDD (2), 2022)

A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction. - Yansong Shen; Lin Li 001; Qing Xie 002; Xin Li 064; Guandong Xu (PAKDD (1), 2022)

Semantics-Guided Disentangled Learning for Recommendation. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Zhichao Wang 001; Yanan Cao 001; Guandong Xu (PAKDD (1), 2022)

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. - Xin Xia 013; Hongzhi Yin; Junliang Yu; Qinyong Wang; Guandong Xu; Quoc Viet Hung Nguyen (SIGIR, 2022)

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Zhichao Wang 001; Hongxu Chen 002; Guandong Xu (SIGIR, 2022)

You see what I want you to see: poisoning vulnerabilities in neural code search. - Yao Wan 001; Shijie Zhang; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Dezhong Yao 002; Hai Jin 001; Lichao Sun 001 (ESEC/SIGSOFT FSE, 2022)

Cross-Language Binary-Source Code Matching with Intermediate Representations. - Yi Gui; Yao Wan 001; Hongyu Zhang 002; Huifang Huang; Yulei Sui; Guandong Xu; Zhiyuan Shao; Hai Jin 001 (SANER, 2022)

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. - Zihao Li 005; Xianzhi Wang 001; Lina Yao 001; Yakun Chen; Guandong Xu; Ee-Peng Lim (WISE, 2022)

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. - Chengkun Zhang; Hongxu Chen 002; Sixiao Zhang; Guandong Xu; Junbin Gao (WSDM, 2022)

Off-policy Learning over Heterogeneous Information for Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Guandong Xu (WWW, 2022)

Dual Space Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Shirui Pan; Lin Li 001; Philip S. Yu; Guandong Xu (WWW, 2022)

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. - Sixiao Zhang; Hongxu Chen 002; Xiangguo Sun; Yicong Li 001; Guandong Xu (WWW, 2022)

Domain-specific NLP system to support learning path and curriculum design at tech universities. - Nhi N. Y. Vo; Quang T. Vu; Nam H. Vu; Tu A. Vu; Bang D. Mach; Guandong Xu (Comput. Educ. Artif. Intell., 2022)

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (CoRR, 2022)

Graph Masked Autoencoder. - Hongxu Chen 002; Sixiao Zhang; Guandong Xu (CoRR, 2022)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Sixiao Zhang; Xiangguo Sun; Qian Li 003; Guandong Xu (CoRR, 2022)

Reinforced Path Reasoning for Counterfactual Explainable Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Guandong Xu (CoRR, 2022)

Federated Graph Contrastive Learning. - Haoran Yang; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (CoRR, 2022)

COV19IR : COVID-19 Domain Literature Information Retrieval. - Arusarka Bose; Zili Zhou; Guandong Xu (CoRR, 2022)

Learning persona-driven personalized sentimental representation for review-based recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Xinhao Zheng; Jiaxi He; Guandong Xu (Expert Syst. Appl., 2022)

One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data. - Imran Razzak; Nour Moustafa; Shahid Mumtaz; Guandong Xu (Int. J. Intell. Syst., 2022)

Stochastic intervention for causal inference via reinforcement learning. - Tri Dung Duong; Qian Li 003; Guandong Xu (Neurocomputing, 2022)

Social dual-effect driven group modeling for neural group recommendation. - Peipei Wang; Lin Li 001; Qing Xie 002; Ru Wang 001; Guandong Xu (Neurocomputing, 2022)

Detecting Duplicate Questions in Stack Overflow via Source Code Modeling. - Wei Gao 001; Jian Wu 001; Guandong Xu (Int. J. Softw. Eng. Knowl. Eng., 2022)

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19. - Omar Sharif; Md. Rafiqul Islam 004; Md Zobaer Hasan; Muhammad Ashad Kabir; Md Emran Hasan; Salman A. AlQahtani; Guandong Xu (J. Heal. Informatics Res., 2022)

Improving healthcare outcomes using multimedia big data analytics. - Imran Razzak; Peter W. Eklund; Guandong Xu (Neural Comput. Appl., 2022)

Privileged multi-task learning for attribute-aware aesthetic assessment. - Yangyang Shu; Qian Li 003; Lingqiao Liu; Guandong Xu (Pattern Recognit., 2022)

Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention. - Dongjing Wang; Xin Zhang 079; Zhengzhe Xiang; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Cybern., 2022)

Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures. - Imran Razzak; Guandong Xu; Muhammad Khurram Khan (IEEE Trans. Ind. Informatics, 2022)

V-SVR+: Support Vector Regression With Variational Privileged Information. - Yangyang Shu; Qian Li 003; Chang Xu 002; Shaowu Liu; Guandong Xu (IEEE Trans. Multim., 2022)

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. - Dongjing Wang; Xin Zhang 079; Yao Wan 001; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Multim., 2022)

Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. - Wenhua Wang; Yuqun Zhang; Yulei Sui; Yao Wan 001; Zhou Zhao 001; Jian Wu 001; Philip S. Yu; Guandong Xu (IEEE Trans. Software Eng., 2022)

Deep treatment-adaptive network for causal inference. - Qian Li 003; Zhichao Wang 001; Shaowu Liu; Gang Li 009; Guandong Xu (VLDB J., 2022)

Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic. - Nhi N. Y. Vo; Guandong Xu; Dat Anh Le (Web Intell., 2022)

Reinforced KGs reasoning for explainable sequential recommendation. - Zhihong Cui; Hongxu Chen 002; Lizhen Cui; Shijun Liu; Xueyan Liu 001; Guandong Xu; Hongzhi Yin (World Wide Web, 2022)

API-GNN: attribute preserving oriented interactive graph neural network. - Yuchen Zhou; Yanmin Shang; Yanan Cao 001; Qian Li 003; Chuan Zhou 001; Guandong Xu (World Wide Web, 2022)

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. - Hamad Zogan; Imran Razzak; Xianzhi Wang 001; Shoaib Jameel; Guandong Xu (World Wide Web, 2022)

Online Spam Review Detection: A Survey of Literature. - Li He; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu (Hum. Centric Intell. Syst., 2022)

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions. - David Hason Rudd; Huan Huo; Guandong Xu (Hum. Centric Intell. Syst., 2022)

HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract). - Xianfeng Zhang; Yanhui Gu; Guandong Xu; Yafei Li; Jinlan Wang; Zhenglu Yang (AAAI, 2023)

AMR-TST: Abstract Meaning Representation-based Text Style Transfer. - Kaize Shi; Xueyao Sun; Li He; Dingxian Wang; Qing Li 001; Guandong Xu (ACL (Findings), 2023)

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Xianzhi Wang 001; Guandong Xu (ADMA (5), 2023)

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (ADMA (1), 2023)

Local Outlier Detection Based on K-distance Variation to Enhancing Imaging-aided Diagnosis. - Huiwen Dong; Rongcheng Li; Wenhua Wang; Shangrui Wu; Guandong Xu; Zhiwen Zhao; Qing-Guo Wang (BESC, 2023)

Underwriting Knowledge Graph Construction, Maintenance and Its Application on Explainable Exclusion. - Khanh-Van Nguyen; Peter Tilocca; Huan Huo; Guandong Xu (BESC, 2023)

Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data. - David Hason Rudd; Huan Huo; Md Rafiqul Islam; Guandong Xu (BESC, 2023)

From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT. - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (BESC, 2023)

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. - Xin Xia 013; Junliang Yu; Guandong Xu; Hongzhi Yin (CIKM, 2023)

Causality-guided Graph Learning for Session-based Recommendation. - Dianer Yu; Qian Li 003; Hongzhi Yin; Guandong Xu (CIKM, 2023)

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. - Kangzheng Liu; Feng Zhao 003; Guandong Xu; Xianzhi Wang 001; Hai Jin 001 (ICDE, 2023)

IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. - Kangzheng Liu; Feng Zhao 003; Guandong Xu; Shiqing Wu 001 (ICDM, 2023)

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. - Shiqing Wu 001; Guandong Xu; Xianzhi Wang 001 (ICDM, 2023)

Explainable exclusion in the life insurance using multi-label classifier. - Khanh-Van Nguyen; Md. Rafiqul Islam 004; Huan Huo; Peter Tilocca; Guandong Xu (IJCNN, 2023)

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. - Haoran Yang; Xiangyu Zhao 001; Yicong Li 001; Hongxu Chen 002; Guandong Xu (NeurIPS, 2023)

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. - Tri Dung Duong; Qian Li 003; Guandong Xu (PAKDD (2), 2023)

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. - David Hason Rudd; Huan Huo; Guandong Xu (PAKDD (3), 2023)

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. - Jing Long; Tong Chen 005; Quoc Viet Hung Nguyen; Guandong Xu; Kai Zheng 001; Hongzhi Yin (SIGIR, 2023)

Dynamic Graph Evolution Learning for Recommendation. - Haoran Tang; Shiqing Wu 001; Guandong Xu; Qing Li 001 (SIGIR, 2023)

Simplifying Graph-based Collaborative Filtering for Recommendation. - Li He; Xianzhi Wang 001; Dingxian Wang; Haoyuan Zou; Hongzhi Yin; Guandong Xu (WSDM, 2023)

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. - Zihao Li 005; Xianzhi Wang 001; Chao Yang 024; Lina Yao 001; Julian J. McAuley; Guandong Xu (WSDM, 2023)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Sixiao Zhang; Xiangguo Sun; Qian Li 003; Xiangyu Zhao 001; Guandong Xu (WWW, 2023)

Causal Analysis of Customer Churn Using Deep Learning. - David Hason Rudd; Huan Huo; Guandong Xu (CoRR, 2023)

Causal Neural Graph Collaborative Filtering. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Wei Huang; Guandong Xu (CoRR, 2023)

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li 001 (CoRR, 2023)

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation. - Yakun Chen; Xianzhi Wang 001; Guandong Xu (CoRR, 2023)

Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data. - David Hason Rudd; Huan Huo; Md. Rafiqul Islam 004; Guandong Xu (CoRR, 2023)

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. - Hongzhi Yin; Yizhou Sun; Guandong Xu; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2023)

Social responses to the COVID-19 pandemic. - Wu He; Guandong Xu; Imran Razzak (Behav. Inf. Technol., 2023)

Be Causal: De-Biasing Social Network Confounding in Recommendation. - Qian Li 003; Xiangmeng Wang; Zhichao Wang 001; Guandong Xu (ACM Trans. Knowl. Discov. Data, 2023)

Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. - Abdul Rehman Javed; Imran Razzak; Guandong Xu (IEEE J. Biomed. Health Informatics, 2023)

Deconfounded recommendation via causal intervention. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Guandong Xu (Neurocomputing, 2023)

Attentional Gated Res2Net for Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Jing Jiang 002; Guandong Xu (Neural Process. Lett., 2023)

Guest Editorial Open and Interpretable AI in Computational Pathology. - Imran Razzak; Muhammad Khuram Khan; Guandong Xu; Fahmi Khalifa (IEEE J. Biomed. Health Informatics, 2023)

A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval. - Zongda Wu; Jian Xie; Shigen Shen; Chongze Lin; Guandong Xu; Enhong Chen (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Event-based incremental recommendation via factors mixed Hawkes process. - Zhihong Cui; Xiangguo Sun; Li Pan 001; Shijun Liu; Guandong Xu (Inf. Sci., 2023)

Causal Optimal Transport for Treatment Effect Estimation. - Qian Li 003; Zhichao Wang 001; Shaowu Liu; Gang Li 009; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Hyperbolic Neural Collaborative Recommender. - Anchen Li; Bo Yang 002; Huan Huo; Hongxu Chen 002; Guandong Xu; Zhen Wang 004 (IEEE Trans. Knowl. Data Eng., 2023)

Graph-Aware Deep Fusion Networks for Online Spam Review Detection. - Li He; Guandong Xu; Shoaib Jameel; Xianzhi Wang 001; Hongxu Chen 002 (IEEE Trans. Comput. Soc. Syst., 2023)

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. - Hongzhi Yin; Yizhou Sun; Guandong Xu; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2023)

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation. - Xingliang Wang; Dongjing Wang; Dongjin Yu; Runze Wu 001; Qimeng Yang; Shuiguang Deng; Guandong Xu (Neurocomputing, 2023)

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. - Haoran Yang; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (Inf. Sci., 2023)

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. - Yicong Li 001; Hongxu Chen 002; Yile Li; Lin Li 001; Philip S. Yu; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Self-Supervised Hypergraph Representation Learning for Sociological Analysis. - Xiangguo Sun; Hong Cheng 001; Bo Liu 004; Jia Li 009; Hongyang Chen; Guandong Xu; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2023)

An effective method for the protection of user health topic privacy for health information services. - Zongda Wu; Huawen Liu; Jian Xie; Guandong Xu; Gang Li; Chenglang Lu (World Wide Web (WWW), 2023)

AIoT for sustainable manufacturing: Overview, challenges, and opportunities. - Abdul Matin; Md. Rafiqul Islam 004; Xianzhi Wang 001; Huan Huo; Guandong Xu (Internet Things, 2023)

Graph Reasoning Transformers for Knowledge-Aware Question Answering. - Ruilin Zhao; Feng Zhao 003; Liang Hu 004; Guandong Xu (AAAI, 2024)

Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks. - Shiqing Wu 001; Guandong Xu (BESC, 2024)

Preface. - Chengtao Cai; Xiaohui Tao 001; Jian Cao 001; Qilong Han; Guandong Xu (BESC, 2024)

Welcome Message. - Chengtao Cai; Xiaohui Tao 001; Jian Cao 001; Qilong Han; Guandong Xu (BESC, 2024)

Leveraging Artificial Intelligence for Affordable and Clean Energy: Advancing UN Sustainable Development Goal 7. - Bavly Hanna; Guandong Xu; Xianzhi Wang 001; Md. Jahangir Hossain 001 (BESC, 2024)

Exclusion Vis: A Visual Interactive System for Exclusion Analysis in Life Insurance Using Machine Learning Techniques. - Md Rafiqul Islam; Thanh Thao Lam Nguyen; Shanjita Akter Prome; Md. Kowsar Hossain Sakib; Cesar Sanín; Guandong Xu; Weidong Huang 001 (BESC, 2024)

Fairness-Aware Mutual Information for Multimodal Recommendation. - Dan Lu 004; Xu Chen; Rui Chen 012; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation. - Dan Lu 004; Hao Zhang; Lijie Li; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Speech Emotion Recognition Using Mel Spectrogram HPCA and Variational Mode Decomposition. - David Hason Rudd; Xingyi Gao; Md Rafiqul Islam; Huan Huo; Guandong Xu (BESC, 2024)

Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism. - Shanshan Sui; Qilong Han; Dan Lu 004; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. - Qilong Han; Shanshan Sui; Dan Lu 004; Shiqing Wu 001; Guandong Xu (DASFAA (2), 2024)

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction. - Kaixi Hu; Lin Li 001; Qing Xie 002; Xiaohui Tao 001; Guandong Xu (DASFAA (7), 2024)

Counterfactual Debasing for Multi-behavior Recommendations. - Sirui Huang; Qian Li 003; Xiangmeng Wang; Dianer Yu; Guandong Xu; Qing Li 001 (DASFAA (3), 2024)

Developing an LLM-Empowered Agent to Enhance Student Collaborative Learning Through Group Discussion. - Sixu An; Yicong Li 001; Yunsi Ma; Gary Cheng 001; Guandong Xu (ICCE, 2024)

Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. - Anchen Li; Bo Yang 002; Huan Huo; Farookh Khadeer Hussain; Guandong Xu (ICDE, 2024)

Does Label Smoothing Help Deep Partial Label Learning? - Xiuwen Gong; Nitin Bisht; Guandong Xu (ICML, 2024)

KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering. - Ruilin Zhao; Feng Zhao 003; Long Wang; Xianzhi Wang 001; Guandong Xu (IJCAI, 2024)

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. - Zhaoyang Chu; Yao Wan 001; Qian Li 003; Yang Wu 010; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001 (ISSTA, 2024)

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. - Yicong Li 001; Yu Yang 012; Jiannong Cao 001; Shuaiqi Liu 002; Haoran Tang; Guandong Xu (KDD, 2024)

DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning. - Kangzheng Liu; Feng Zhao 003; Yu Yang 012; Guandong Xu (ACM Multimedia, 2024)

Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. - Jiaqi Deng; Kaize Shi; Huan Huo; Dingxian Wang; Guandong Xu (SIGIR, 2024)

CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. - Abdullah Alsuhaibani; Imran Razzak; Shoaib Jameel; Xianzhi Wang 001; Guandong Xu (WISE (4), 2024)

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. - Abdullah Alsuhaibani; Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (WSDM, 2024)

Challenging Low Homophily in Social Recommendation. - Wei Jiang 006; Xinyi Gao 001; Guandong Xu; Tong Chen 005; Hongzhi Yin (WWW, 2024)

A topic-controllable keywords-to-text generator with knowledge base network. - Li He; Kaize Shi; Dingxian Wang; Xianzhi Wang 001; Guandong Xu (CAAI Trans. Intell. Technol., 2024)

API Recommendation For Mashup Creation: A Comprehensive Survey. - Hadeel Alhosaini; Sultan Alharbi; Xianzhi Wang 001; Guandong Xu (Comput. J., 2024)

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning. - Guiming Cao; Kaize Shi; Hong Fu; Huaiwen Zhang; Guandong Xu (CoRR, 2024)

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Zhangkai Wu; Juan Chen; Xianzhi Wang 001; Julian J. McAuley; Guandong Xu; Shui Yu 001 (CoRR, 2024)

Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. - Kaize Shi; Xueyao Sun; Qing Li 001; Guandong Xu (CoRR, 2024)

Expert-Guided Extinction of Toxic Tokens for Debiased Generation. - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li 001 (CoRR, 2024)

RVISA: Reasoning and Verification for Implicit Sentiment Analysis. - Wenna Lai; Haoran Xie 001; Guandong Xu; Qing Li 001 (CoRR, 2024)

NarrationDep: Narratives on Social Media For Automatic Depression Detection. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2024)

Reasoning Factual Knowledge in Structured Data with Large Language Models. - Sirui Huang; Yanggan Gu; Xuming Hu; Zhonghao Li; Qing Li 001; Guandong Xu (CoRR, 2024)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning. - Haoran Yang; Xiangyu Zhao 001; Sirui Huang; Qing Li 001; Guandong Xu (CoRR, 2024)

Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. - Sixu An; Xiangguo Sun; Yicong Li 001; Yu Yang 012; Guandong Xu (CoRR, 2024)

An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals. - Jiahui Jin; Yi Hong 003; Guandong Xu; Jinghui Zhang; Jun Tang; Hancheng Wang (CoRR, 2024)

Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning. - Wenna Lai; Haoran Xie 001; Guandong Xu; Qing Li 001 (CoRR, 2024)

Achieving counterfactual fairness with imperfect structural causal model. - Tri Dung Duong; Qian Li 003; Guandong Xu (Expert Syst. Appl., 2024)

Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction. - Dongjin Yu; Gangming Guo; Dongjing Wang; Haiping Zhang 001; Bao Li; Guandong Xu; Shuiguang Deng (Expert Syst. Appl., 2024)

Neural Causal Graph collaborative filtering. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Wei Huang; Qing Li 001; Guandong Xu (Inf. Sci., 2024)

Causality-based counterfactual explanation for classification models. - Tri Dung Duong; Qian Li 003; Guandong Xu (Knowl. Based Syst., 2024)

Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation. - Pan Gu; Haiyang Hu; Guandong Xu (Knowl. Based Syst., 2024)

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. - Yang Wu 010; Yao Wan 001; Hongyu Zhang 002; Yulei Sui; Wucai Wei; Wei Zhao 040; Guandong Xu; Hai Jin 001 (Proc. ACM Manag. Data, 2024)

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. - Yangyang Shu; Qian Li 003; Lingqiao Liu; Guandong Xu (IEEE Trans. Multim., 2024)

Exploring explicit and implicit graph learning for multivariate time series imputation. - Yakun Chen; Ruotong Hu; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guodong Long; Guandong Xu (Eng. Appl. Artif. Intell., 2024)

Dyformer: A dynamic transformer-based architecture for multivariate time series classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (Inf. Sci., 2024)

Strategies for evaluating visual analytics systems: A systematic review and new perspectives. - Md. Rafiqul Islam 004; Shanjita Akter; Linta Islam; Imran Razzak; Xianzhi Wang 001; Guandong Xu (Inf. Vis., 2024)

Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies. - Yao Wu; Jian Cao 001; Guandong Xu (ACM Trans. Knowl. Discov. Data, 2024)

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation. - Dongjing Wang; Xin Zhang 079; Yuyu Yin; Dongjin Yu; Guandong Xu; Shuiguang Deng (ACM Trans. Inf. Syst., 2024)

FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems. - Yao Wu; Jian Cao 001; Guandong Xu (ACM Trans. Inf. Syst., 2024)

Editorial to Special Issue on Multimedia Cognitive Computing for Intelligent Transportation System. - Shaohua Wan 001; Yi Jin 001; Guandong Xu; Michele Nappi (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve. - Zhihong Cui; Xiangguo Sun; Hongxu Chen 002; Li Pan 001; Lizhen Cui; Shijun Liu; Guandong Xu (IEEE Trans. Comput. Soc. Syst., 2024)

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (IEEE J. Biomed. Health Informatics, 2024)

Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics. - Kaixi Hu; Lin Li 001; Qing Xie 002; Jianquan Liu; Xiaohui Tao 001; Guandong Xu (ACM Trans. Inf. Syst., 2024)

Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling. - Pan Gu; Haiyang Hu; Dongjing Wang; Dongjin Yu; Guandong Xu (Neural Process. Lett., 2024)

Counterfactual Explainable Conversational Recommendation. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Multi-view GCN for loan default risk prediction. - Zihao Li 005; Yakun Chen; Xianzhi Wang 001; Lina Yao 001; Guandong Xu (Neural Comput. Appl., 2024)

Reinforced Path Reasoning for Counterfactual Explainable Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Counterfactual Explanation for Fairness in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Qing Li 001; Guandong Xu (ACM Trans. Inf. Syst., 2024)

Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. - Md. Rafiqul Islam 004; Imran Razzak; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (Ann. Oper. Res., 2024)

Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP. - Imran Razzak; Mohamed Reda Bouadjenek; Muhammad Aamir Cheema; Ibrahim A. Hameed; Guandong Xu; Amin Beheshti (IEEE Trans. Comput. Soc. Syst., 2024)

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games. - Dongjin Yu; Xingliang Wang; Yu Xiong; Xudong Shen; Runze Wu 001; Dongjing Wang; Zhene Zou; Guandong Xu (ACM Trans. Intell. Syst. Technol., 2024)

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. - Yicong Li 001; Xiangguo Sun; Hongxu Chen 002; Sixiao Zhang; Yu Yang 012; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Category-aware self-supervised graph neural network for session-based recommendation. - Dongjing Wang; Ruijie Du; Qimeng Yang; Dongjin Yu; Feng Wan; Xiaojun Gong; Guandong Xu; Shuiguang Deng (World Wide Web (WWW), 2024)

A novel complex network prediction method based on multi-granularity contrastive learning. - Shanshan Sui; Qilong Han; Dan Lu 004; Shiqing Wu 001; Guandong Xu (CCF Trans. Pervasive Comput. Interact., 2024)

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. - Yao Wan 001; Zhangqian Bi; Yang He; Jianguo Zhang 005; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001; Philip S. Yu (ACM Comput. Surv., 2024)

Multi-Level Graph Knowledge Contrastive Learning. - Haoran Yang; Yuhao Wang 006; Xiangyu Zhao 001; Hongxu Chen 002; Hongzhi Yin; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Qing Li 001; Guandong Xu (Trans. Recomm. Syst., 2024)

CUGF: A Reliable and Fair Recommendation Framework. - Nitin Bisht; Xiuwen Gong; Guandong Xu (AAAI, 2025)

Conformal Prediction for Partial Label Learning. - Xiuwen Gong; Nitin Bisht; Guandong Xu (AAAI, 2025)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection. - Chaowei Zhang 001; Zongling Feng; Zewei Zhang; Jipeng Qiang; Guandong Xu; Yun Li 010 (AAAI, 2025)

StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models. - Sirui Huang; Yanggan Gu; Zhonghao Li; Xuming Hu; Qing Li 001; Guandong Xu (ACL (Findings), 2025)

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following. - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li 001 (COLING, 2025)

Expert-Guided Toxicity Filtration for Debiased Generation. - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li 001 (PAKDD (4), 2025)

How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. - Zhangqian Bi; Yao Wan 001; Zhaoyang Chu; Yufei Hu; Junyi Zhang; Hongyu Zhang 002; Guandong Xu; Hai Jin 001 (SANER, 2025)

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. - Sirui Huang; Hanqian Li; Yanggan Gu; Xuming Hu; Qing Li 001; Guandong Xu (SIGIR, 2025)

Hypercomplex Knowledge Graph-Aware Recommendation. - Anchen Li; Bo Yang 002; Huan Huo; Farookh Hussain; Guandong Xu (SIGIR, 2025)

Improving long-tail classification via decoupling and regularisation. - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao 001; Wenjian Luo; Peiyi Han; Qing Liao 001; Guandong Xu (CAAI Trans. Intell. Technol., 2025)

DyBooster: Leveraging large language model as booster for dynamic recommendation. - Haoran Tang; Xueyao Sun; Shiqing Wu 001; Zhihong Cui; Guandong Xu; Qing Li 001 (Expert Syst. Appl., 2025)

Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels. - Jiangnan Tang; Huanhuan Gu; Darko B. Vukovic; Guandong Xu; Youquan Wang; Haicheng Tao; Jie Cao 001 (Neurocomputing, 2025)

Causal cascading convolution networks for multi-behavior sequential recommendation. - Dan Lu 004; Shiqing Wu 001; Hao Zhang; Guandong Xu; Qilong Han (Inf. Sci., 2025)

Self-supervised dual graph learning for recommendation. - Anchen Li; Bo Yang 002; Huan Huo; Farookh Khadeer Hussain; Guandong Xu (Knowl. Based Syst., 2025)

Graph Intention Embedding Neural Network for tag-aware recommendation. - Dongjing Wang; Haojiang Yao; Dongjin Yu; Shiyu Song; He Weng; Guandong Xu; Shuiguang Deng (Neural Networks, 2025)

Preface: Security and safety in network simulation and evaluation. - Zhaoquan Gu; Guandong Xu; Ning Hu (Secur. Saf., 2025)

STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction. - Wenna Lai; Haoran Xie 001; Guandong Xu; Qing Li 001 (CoRR, 2025)

Distributed Recommendation Systems: Survey and Research Directions. - Qiqi Cai; Jian Cao 001; Guandong Xu; Nengjun Zhu (ACM Trans. Inf. Syst., 2025)

TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. - Haoran Tang; Shiqing Wu 001; Xueyao Sun; Jun Zeng 003; Guandong Xu; Qing Li 001 (ACM Trans. Inf. Syst., 2025)

A cross-domain knowledge tracing model based on graph optimal transport. - Zhengyang Wu 001; Yuqi Liu; Jianwei Cen; Zetao Zheng; Guandong Xu (World Wide Web (WWW), 2025)

Large Language Models are Few-shot Multivariate Time Series Classifiers. - Yakun Chen; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guandong Xu (CoRR, 2025)

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. - Sirui Huang; Hanqian Li; Yanggan Gu; Xuming Hu; Qing Li 001; Guandong Xu (CoRR, 2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. - Zihao Li 005; Chao Yang 024; Yakun Chen; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu; Lina Yao 001; Michael Sheng 001 (ACM Comput. Surv., 2025)

HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. - Qian Li 003; Zhichao Wang 001; Haiyang Xia; Gang Li 009; Yanan Cao 001; Lina Yao 001; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. - Jiaqi Deng; Kaize Shi; Zonghan Wu; Huan Huo; Dingxian Wang; Guandong Xu (CoRR, 2025)

A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task. - Jiaqi Deng; Zonghan Wu; Huan Huo; Guandong Xu (CoRR, 2025)

Dynamic Spatial-Temporal Graph Convolution Network for E-Bike Traffic Flow Forecasting. - Dongjin Yu; Gangming Guo; Dongjing Wang; Tianpei OuYang; Feng Wan; Jitao Liu; Guandong Xu; Shuiguang Deng (IEEE Trans. Veh. Technol., 2025)

Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. - Haoran Tang; Shiqing Wu 001; Zhihong Cui; Yicong Li 001; Guandong Xu; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2025)

Contrastive Modality-Disentangled Learning for Multimodal Recommendation. - Xixun Lin; Rui Liu 032; Yanan Cao 001; Lixin Zou; Qian Li 003; Yongxuan Wu; Yang Liu 320; Dawei Yin; Guandong Xu (ACM Trans. Inf. Syst., 2025)

When LLMs Team Up: The Emergence of Collaborative Affective Computing. - Wenna Lai; Haoran Xie 001; Guandong Xu; Qing Li 001; S. Joe Qin (CoRR, 2025)

Deep multimodal learning for time series analysis in social computing: a survey. - Chao Yang 024; Yakun Chen; Zihao Li 005; Xianzhi Wang 001; Kaize Shi; Lina Yao 001; Guandong Xu; Zhongwen Guo (Int. J. Multim. Inf. Retr., 2025)

A Lightweight Spatio-Temporal Neural Network With Sampling-Based Time Series Decomposition for Traffic Forecasting. - Dongjing Wang; Gangming Guo; Tianpei OuYang; Dongjin Yu; Haiping Zhang 001; Bao Li; Rong Jiang; Guandong Xu; Shuiguang Deng (IEEE Trans. Intell. Transp. Syst., 2025)

Listwise Preference Alignment Optimization for Tail Item Recommendation. - Zihao Li 005; Chao Yang 024; Tong Zhang; Yakun Chen; Xianzhi Wang 001; Guandong Xu; Daoyi Dong (CoRR, 2025)

Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. - Xueyao Sun; Kaize Shi; Haoran Tang; Dingxian Wang; Guandong Xu; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)