Enhanced co-occurrence distances for categorical data in unsupervised learning. - Jia-Yi Feng; Mingchun Wang; Can Wang 004; Longbing Cao (ICMLC, 2010)

Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization. - Chayapol Moemeng; Can Wang 004; Longbing Cao (ADMI, 2011)

Coupled nominal similarity in unsupervised learning. - Can Wang 004; Longbing Cao; Mingchun Wang; Jinjiu Li; Wei Wei 039; Yuming Ou (CIKM, 2011)

Discretization Based on Positive Domain and Information Entropy. - Juan Zhao; Mingchun Wang; Kun Liu; Can Wang 004 (CIS, 2011)

CCE: A Coupled Framework of Clustering Ensembles. - Zhong She; Can Wang 004; Longbing Cao (AAAI, 2012)

CD: A Coupled Discretization Algorithm. - Can Wang 004; Mingchun Wang; Zhong She; Longbing Cao (PAKDD (2), 2012)

Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects. - Can Wang 004; Zhong She; Longbing Cao (ICDE, 2013)

Coupled Attribute Analysis on Numerical Data. - Can Wang 004; Zhong She; Longbing Cao (IJCAI, 2013)

Coupled term-term relation analysis for document clustering. - Xin Cheng; Duoqian Miao 001; Can Wang 004; Longbing Cao (IJCNN, 2013)

Volatility analysis via coupled Wishart process. - Zhong She; Can Wang 004 (IJCNN, 2013)

Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data. - Jinjiu Li; Can Wang 004; Wei Wei 039; Mu Li; Chunming Liu (PAKDD (1), 2013)

A Coupled Clustering Approach for Items Recommendation. - Yonghong Yu; Can Wang 004; Yang Gao 001; Longbing Cao; Xixi Chen (PAKDD (2), 2013)

Erratum: A Coupled Clustering Approach for Items Recommendation. - Yonghong Yu; Can Wang 004; Yang Gao 001; Longbing Cao; Qianqian Chen (PAKDD (2), 2013)

Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. - Longbing Cao; Jinjiu Li; Can Wang 004; Philip S. Yu (SDM, 2013)

Coupled behavior informatics: modeling, analysis and learning - Can Wang 004 (2013)

Bridging the Gap between Spatial Data Sources and Mashup Applications. - Wei Zhou; Chi-Hung Chi; Can Wang 004; Raymond K. Wong 001; Chen Ding 004 (BigData Congress, 2014)

Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems. - Yonghong Yu; Can Wang 004; Yang Gao 001 (CoRR, 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)

Hierarchical Clustering Using Homogeneity as Similarity Measure for Big Data Analytics. - Yunwei Zhao; Chi-Hung Chi; Chen Ding 004; Raymond K. Wong 001; Wei Zhao; Can Wang 004 (SCC, 2015)

Coupled Interdependent Attribute Analysis on Mixed Data. - Can Wang 004; Chi-Hung Chi; Wei Zhou; Raymond K. Wong 001 (AAAI, 2015)

Reports from the 2015 AAAI Workshop Program. - Stefano V. Albrecht; J. Christopher Beck; David L. Buckeridge; Adi Botea; Cornelia Caragea; Chi-Hung Chi; Theodoros Damoulas; Bistra Dilkina; Eric Eaton; Pooyan Fazli; Sam Ganzfried; Marius Lindauer; et al. (AI Mag., 2015)

A link-based approach to semantic relation analysis. - Xin Cheng; Duoqian Miao 001; Can Wang 004 (Neurocomputing, 2015)

Coupled Attribute Similarity Learning on Categorical Data. - Can Wang 004; Xiangjun Dong 001; Fei Zhou 001; Longbing Cao; Chi-Hung Chi (IEEE Trans. Neural Networks Learn. Syst., 2015)

Formalization and Verification of Group Behavior Interactions. - Can Wang 004; Longbing Cao; Chi-Hung Chi (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Special Issue on Trajectory-based Behaviour Analytics. - Chi-Hung Chi; Can Wang 004; Yu Zheng (J. Comput. Syst. Sci., 2016)

Attributes coupling based matrix factorization for item recommendation. - Yonghong Yu; Can Wang 004; Hao Wang 013; Yang Gao 001 (Appl. Intell., 2017)

Graph PCA Hashing for Similarity Search. - Xiaofeng Zhu 001; Xuelong Li 001; Shichao Zhang 001; Zongben Xu; Litao Yu; Can Wang 004 (IEEE Trans. Multim., 2017)

Interdependent Model for Point-of-Interest Recommendation via Social Networks. - Jake Hashim-Jones; Can Wang 004; Md. Saiful Islam 003; Bela Stantic (ADC, 2018)

Multi-modality Sensor Data Classification with Selective Attention. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Sen Wang 001; Mingkui Tan; Guodong Long; Can Wang 004 (IJCAI, 2018)

A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter. - Yunwei Zhao; Can Wang 004; Chi-Hung Chi; Kwok-Yan Lam; Sen Wang 001 (IJCAI, 2018)

A Two-Factor Authentication Scheme based on Negative Databases. - Ran Liu; Xiang Wang; Can Wang 004 (SSCI, 2018)

Geographical Proximity Boosted Recommendation Algorithms for Real Estate. - Yonghong Yu; Can Wang 004; Li Zhang 013; Rong Gao; Hua Wang 002 (WISE (2), 2018)

Behavior-Interior-Aware User Preference Analysis Based on Social Networks. - Can Wang 004; Tao Bo; Yunwei Zhao; Chi-Hung Chi; Kwok-Yan Lam; Sen Wang 001; Min Shu (Complex., 2018)

Coupled Clustering Ensemble by Exploring Data Interdependence. - Can Wang 004; Chi-Hung Chi; Zhong She; Longbing Cao; Bela Stantic (ACM Trans. Knowl. Discov. Data, 2018)

Top-N Hashtag Prediction via Coupling Social Influence and Homophily. - Can Wang 004; Zhonghao Sun; Yunwei Zhao; Chi-Hung Chi; Willem-Jan van den Heuvel; Kwok-Yan Lam; Bela Stantic (ADMA, 2019)

TOM: A Threat Operating Model for Early Warning of Cyber Security Threats. - Tao Bo; Yue Chen; Can Wang 004; Yunwei Zhao; Kwok-Yan Lam; Chi-Hung Chi; Hui Tian 001 (ADMA, 2019)

DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition. - Weitong Chen 001; Lin Yue; Bohan Li 001; Can Wang 004; Quan Z. Sheng (ADMA, 2019)

A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics. - Han Han; Yunwei Zhao; Can Wang 004; Min Shu; Tao Peng; Chi-Hung Chi; Yonghong Yu (ADMA, 2019)

Unfolding the Mixed and Intertwined: A Multilevel View of Topic Evolution on Twitter. - Yunwei Zhao; Can Wang 004; Han Han; Willem-Jan van den Heuvel; Chi-Hung Chi; Weimin Li 001 (ADMA, 2019)

Influence Maximization Based on Node Attraction Model. - Guijiang Wang; Jiulei Jiang; Weimin Li 001; Can Wang 004 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Integrating Social Circles and Network Representation Learning for Item Recommendation. - Yonghong Yu; Qiang Wang; Li Zhang 013; Can Wang 004; Sifan Wu; Boyu Qi; Xiaotian Wu (IJCNN, 2019)

Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution. - Yunwei Zhao; Can Wang 004; Chi-Hung Chi; Willem-Jan van den Heuvel; Kwok-Yan Lam; Min Shu (IJCNN, 2019)

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation. - Yonghong Yu; Li Zhang 013; Can Wang 004; Rong Gao; Weibin Zhao; Jing Jiang 019 (Complex., 2019)

Low-rank hypergraph feature selection for multi-output regression. - Xiaofeng Zhu 001; Rongyao Hu; Cong Lei; Kim-Han Thung; Wei Zheng; Can Wang 004 (World Wide Web, 2019)

TRec: Sequential Recommender Based On Latent Item Trend Information. - Ye Tao 004; Can Wang 004; Lina Yao 001; Weimin Li 001; Yonghong Yu (IJCNN, 2020)

Spectrum-Guided Adversarial Disparity Learning. - Zhe Liu 023; Lina Yao 001; Lei Bai 001; Xianzhi Wang 001; Can Wang 004 (KDD, 2020)

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. - Lei Bai 001; Lina Yao 001; Can Li; Xianzhi Wang 001; Can Wang 004 (NeurIPS, 2020)

An Impact Evaluation Framework of Personalized News Aggregation and Recommendation Systems. - Yunwei Zhao; Can Wang 004; Han Han; Min Shu; Wenlei Wang (WI/IAT, 2020)

Efficient processing of reverse nearest neighborhood queries in spatial databases. - Md. Saiful Islam 003; Bojie Shen; Can Wang 004; David Taniar; Junhu Wang (Inf. Syst., 2020)

Truth finding by reliability estimation on inconsistent entities for heterogeneous data sets. - Hui Tian 001; Wenwen Sheng; Hong Shen 001; Can Wang 004 (Knowl. Based Syst., 2020)

Three-hop velocity attenuation propagation model for influence maximization in social networks. - Weimin Li 001; Yuting Fan; Jun Mo; Wei Liu 027; Can Wang 004; Minjun Xin; Qun Jin (World Wide Web, 2020)

A Novel Class-wise Forgetting Detector in Continual Learning. - Xuan Cuong Pham; Alan Wee-Chung Liew; Can Wang 004 (DICTA, 2021)

Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Alan Wee-Chung Liew; Yunwei Zhao (WI/IAT, 2021)

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Can Wang 004 (CoRR, 2021)

Evolutionary community discovery in dynamic social networks via resistance distance. - Weimin Li 001; Heng Zhu; Shaohua Li 004; Hao Wang 003; Hongning Dai; Can Wang 004; Qun Jin (Expert Syst. Appl., 2021)

Learning Complex Couplings and Interactions. - Can Wang 004; Fosca Giannotti; Longbing Cao (IEEE Intell. Syst., 2021)

Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction. - Wenpeng Lu; Rui Yu 005; Shoujin Wang; Can Wang 004; Ping Jian; Heyan Huang (ACM Trans. Internet Techn., 2021)

Hyperbolic Personalized Tag Recommendation. - Weibin Zhao; Aoran Zhang 001; Lin Shang 001; Yonghong Yu; Li Zhang 013; Can Wang 004; Jiajun Chen 001; Hongzhi Yin (DASFAA (2), 2022)

An efficient two-factor authentication scheme based on negative databases: Experiments and extensions. - Ran Liu; Xiang Wang; Can Wang 004 (Appl. Soft Comput., 2022)

Enhancing recommender ensemble by estimating input fitness. - Ye Tao 004; Can Wang 004; Alan Wee-Chung Liew; Sebastian Binnewies (Comput. Electr. Eng., 2022)

An influence maximization method based on crowd emotion under an emotion-based attribute social network. - Weimin Li 001; Yaqiong Li; Wei Liu 027; Can Wang 004 (Inf. Process. Manag., 2022)

Collaborative representation learning for nodes and relations via heterogeneous graph neural network. - Weimin Li 001; Lin Ni; Jianjia Wang; Can Wang 004 (Knowl. Based Syst., 2022)

SSLE: A framework for evaluating the "Filter Bubble" effect on the news aggregator and recommenders. - Han Han; Can Wang 004; Yunwei Zhao; Min Shu; Wenlei Wang; Yong Min (World Wide Web, 2022)

How Does ChatGPT Affect Fake News Detection Systems? - Bo Li; Jiaxin Ju; Can Wang 004; Shirui Pan (ADMA (2), 2023)

An in-depth analysis of robustness and accuracy of recommendation systems. - Haonan Ma; Can Wang 004; Yunwei Zhao; Luhua Wang; Xiulian Cao; Jinyin Chen; Han Han; Meichen Liu (ICDM (Workshops), 2023)

GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Hong Shen 001 (ICDM, 2023)

Global-Aware External Attention Deep Model for Sequential Recommendation. - Tianxing Wang 004; Can Wang 004 (PAKDD (3), 2023)

Coevolution modeling of group behavior and opinion based on public opinion perception. - Weimin Li 001; Chang Guo; Zhibin Deng; Fangfang Liu; Jianjia Wang; Ruiqiang Guo; Can Wang 004; Qun Jin (Knowl. Based Syst., 2023)

Personalized tag recommendation via denoising auto-encoder. - Weibin Zhao; Lin Shang 001; Yonghong Yu; Li Zhang 013; Can Wang 004; Jiajun Chen 001 (World Wide Web (WWW), 2023)

Item trend learning for sequential recommendation system using gated graph neural network. - Ye Tao 004; Can Wang 004; Lina Yao 001; Weimin Li 001; Yonghong Yu (Neural Comput. Appl., 2023)

Enabling inductive knowledge graph completion via structure-aware attention network. - Jingchao Wang 001; Weimin Li 001; Wei Liu 027; Can Wang 004; Qun Jin (Appl. Intell., 2023)

Interdependence analysis on heterogeneous data via behavior interior dimensions. - Can Wang 004; Chi-Hung Chi; Lina Yao 001; Alan Wee-Chung Liew; Hong Shen 001 (Knowl. Based Syst., 2023)

AffinityVAE: A multi-objective model for protein-ligand affinity prediction and drug design. - Mengying Wang; Weimin Li 001; Xiao Yu; Yin Luo; Ke Han; Can Wang 004; Qun Jin (Comput. Biol. Chem., 2023)

Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model. - Ye Tao 004; Can Wang 004; Alan Wee-Chung Liew (Future Gener. Comput. Syst., 2023)

Embracing LLMs for Point-of-Interest Recommendations. - Tianxing Wang 004; Can Wang 004 (IEEE Intell. Syst., 2024)

Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field. - Chang Guo; Weimin Li 001; Jingchao Wang 001; Xiao Yu; Xiao Liu; Alex Munyole Luvembe; Can Wang 004; Qun Jin (Knowl. Based Syst., 2024)

Cross-Modal Sequential Point-of-Interest Recommendation with Lightweight Hybrid Fusion Strategy. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Hong Shen 001 (DaWaK, 2025)

Local-Aware Convolutional Modulation for Short-Term Sequential Recommendation. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Hong Shen 001 (DaWaK, 2025)

Point-of-Interest Recommendations and Large Language Models: A Powerful Combination. - Tianxing Wang 004; Can Wang 004 (IEEE Intell. Syst., 2025)

Heterogeneous network for Hierarchical Fine-Grained Domain Fake News Detection. - Yue Wang 150; Shizhong Yuan; Weimin Li 001; Yifan Feng 002; Xiao Yu; Fangfang Liu; Can Wang 004; Quanke Pan (Inf. Process. Manag., 2025)

Multilevel structure fusion for community detection in heterogeneous graphs via disrupting heterophily. - Mengying Dai; Weimin Li 001; Xinyi Zhang 006; Fangfang Liu; Mingjun Xin; Can Wang 004 (Knowl. Based Syst., 2025)

User-based clustering deep model for the sequential point-of-interest recommendation. - Tianxing Wang 004; Can Wang 004; Hui Tian 001; Alan Wee-Chung Liew (Knowl. Inf. Syst., 2025)

M2LLM: Multi-view Molecular Representation Learning with Large Language Models. - Jiaxin Ju; Yizhen Zheng; Huan Yee Koh; Can Wang 004; Shirui Pan (CoRR, 2025)