Can Wang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 52

Top Topics

Heterogeneous Data Sets

Item Recommendation

Recommendation Systems

Social Networks

Top Venues

Knowl. Based Syst.

Publications

Chang Guo, Weimin Li, Jingchao Wang, Xiao Yu, Xiao Liu, Alex Munyole Luvembe, Can Wang, Qun Jin
Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field. Knowl. Based Syst. 291 (2024)
Tianxing Wang, Can Wang
Embracing LLMs for Point-of-Interest Recommendations. IEEE Intell. Syst. 39 (1) (2024)
Ye Tao, Can Wang, Alan Wee-Chung Liew
Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model. Future Gener. Comput. Syst. 149 (2023)
Mengying Wang, Weimin Li, Xiao Yu, Yin Luo, Ke Han, Can Wang, Qun Jin
AffinityVAE: A multi-objective model for protein-ligand affinity prediction and drug design. Comput. Biol. Chem. 107 (2023)
Tianxing Wang, Can Wang, Hui Tian, Hong Shen
GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling. ICDM (2023)
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
Item trend learning for sequential recommendation system using gated graph neural network. Neural Comput. Appl. 35 (18) (2023)
Weibin Zhao, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen
Personalized tag recommendation via denoising auto-encoder. World Wide Web (WWW) 26 (1) (2023)
Can Wang, Chi-Hung Chi, Lina Yao, Alan Wee-Chung Liew, Hong Shen
Interdependence analysis on heterogeneous data via behavior interior dimensions. Knowl. Based Syst. 279 (2023)
Weimin Li, Chang Guo, Zhibin Deng, Fangfang Liu, Jianjia Wang, Ruiqiang Guo, Can Wang, Qun Jin
Coevolution modeling of group behavior and opinion based on public opinion perception. Knowl. Based Syst. 270 (2023)
Jingchao Wang, Weimin Li, Wei Liu, Can Wang, Qun Jin
Enabling inductive knowledge graph completion via structure-aware attention network. Appl. Intell. 53 (21) (2023)
Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
Hyperbolic Personalized Tag Recommendation. DASFAA (2) (2022)
Weimin Li, Lin Ni, Jianjia Wang, Can Wang
Collaborative representation learning for nodes and relations via heterogeneous graph neural network. Knowl. Based Syst. 255 (2022)
Weimin Li, Yaqiong Li, Wei Liu, Can Wang
An influence maximization method based on crowd emotion under an emotion-based attribute social network. Inf. Process. Manag. 59 (2) (2022)
Ran Liu, Xiang Wang, Can Wang
An efficient two-factor authentication scheme based on negative databases: Experiments and extensions. Appl. Soft Comput. 119 (2022)
Han Han, Can Wang, Yunwei Zhao, Min Shu, Wenlei Wang, Yong Min
SSLE: A framework for evaluating the "Filter Bubble" effect on the news aggregator and recommenders. World Wide Web 25 (3) (2022)
Ye Tao, Can Wang, Alan Wee-Chung Liew, Sebastian Binnewies
Enhancing recommender ensemble by estimating input fitness. Comput. Electr. Eng. 104 (Part) (2022)
Can Wang, Fosca Giannotti, Longbing Cao
Learning Complex Couplings and Interactions. IEEE Intell. Syst. 36 (1) (2021)
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR (2021)
Weimin Li, Heng Zhu, Shaohua Li, Hao Wang, Hongning Dai, Can Wang, Qun Jin
Evolutionary community discovery in dynamic social networks via resistance distance. Expert Syst. Appl. 171 (2021)
Wenpeng Lu, Rui Yu, Shoujin Wang, Can Wang, Ping Jian, Heyan Huang
Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction. ACM Trans. Internet Techn. 21 (4) (2021)
Tianxing Wang, Can Wang, Hui Tian, Alan Wee-Chung Liew, Yunwei Zhao
Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation. WI/IAT (2021)
Hui Tian, Wenwen Sheng, Hong Shen, Can Wang
Truth finding by reliability estimation on inconsistent entities for heterogeneous data sets. Knowl. Based Syst. 187 (2020)
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR (2020)
Yunwei Zhao, Can Wang, Han Han, Min Shu, Wenlei Wang
An Impact Evaluation Framework of Personalized News Aggregation and Recommendation Systems. WI/IAT (2020)
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
Spectrum-Guided Adversarial Disparity Learning. KDD (2020)
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS (2020)
Md. Saiful Islam, Bojie Shen, Can Wang, David Taniar, Junhu Wang
Efficient processing of reverse nearest neighborhood queries in spatial databases. Inf. Syst. 92 (2020)
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
TRec: Sequential Recommender Based On Latent Item Trend Information. CoRR (2020)
Weimin Li, Yuting Fan, Jun Mo, Wei Liu, Can Wang, Minjun Xin, Qun Jin
Three-hop velocity attenuation propagation model for influence maximization in social networks. World Wide Web 23 (2) (2020)
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
Spectrum-Guided Adversarial Disparity Learning. CoRR (2020)
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
TRec: Sequential Recommender Based On Latent Item Trend Information. IJCNN (2020)
Yunwei Zhao, Can Wang, Han Han, Willem-Jan van den Heuvel, Chi-Hung Chi, Weimin Li
Unfolding the Mixed and Intertwined: A Multilevel View of Topic Evolution on Twitter. ADMA (2019)
Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation. Complex. 2019 (2019)
Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi, Xiaotian Wu
Integrating Social Circles and Network Representation Learning for Item Recommendation. IJCNN (2019)
Yunwei Zhao, Can Wang, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Min Shu
Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution. IJCNN (2019)
Tao Bo, Yue Chen, Can Wang, Yunwei Zhao, Kwok-Yan Lam, Chi-Hung Chi, Hui Tian
TOM: A Threat Operating Model for Early Warning of Cyber Security Threats. ADMA (2019)
Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim-Han Thung, Wei Zheng, Can Wang
Low-rank hypergraph feature selection for multi-output regression. World Wide Web 22 (2) (2019)
Can Wang, Zhonghao Sun, Yunwei Zhao, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Bela Stantic
Top-N Hashtag Prediction via Coupling Social Influence and Homophily. ADMA (2019)
Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng
DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition. ADMA (2019)
Han Han, Yunwei Zhao, Can Wang, Min Shu, Tao Peng, Chi-Hung Chi, Yonghong Yu
A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics. ADMA (2019)
Guijiang Wang, Jiulei Jiang, Weimin Li, Can Wang
Influence Maximization Based on Node Attraction Model. DASC/PiCom/DataCom/CyberSciTech (2019)
Jake Hashim-Jones, Can Wang, Md. Saiful Islam, Bela Stantic
Interdependent Model for Point-of-Interest Recommendation via Social Networks. ADC (2018)
Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang
Geographical Proximity Boosted Recommendation Algorithms for Real Estate. WISE (2) (2018)
Can Wang, Chi-Hung Chi, Zhong She, Longbing Cao, Bela Stantic
Coupled Clustering Ensemble by Exploring Data Interdependence. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter. IJCAI (2018)
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
Multi-modality Sensor Data Classification with Selective Attention. IJCAI (2018)
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
Multi-modality Sensor Data Classification with Selective Attention. CoRR (2018)
Ran Liu, Xiang Wang, Can Wang
A Two-Factor Authentication Scheme based on Negative Databases. SSCI (2018)
Can Wang, Tao Bo, Yunwei Zhao, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang, Min Shu
Behavior-Interior-Aware User Preference Analysis Based on Social Networks. Complex. 2018 (2018)
Yonghong Yu, Can Wang, Hao Wang, Yang Gao
Attributes coupling based matrix factorization for item recommendation. Appl. Intell. 46 (3) (2017)
Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang
Graph PCA Hashing for Similarity Search. IEEE Trans. Multim. 19 (9) (2017)
Chi-Hung Chi, Can Wang, Yu Zheng
Special Issue on Trajectory-based Behaviour Analytics. J. Comput. Syst. Sci. 82 (4) (2016)
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, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng
Reports from the 2015 AAAI Workshop Program. AI Mag. 36 (2) (2015)
Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi
Coupled Attribute Similarity Learning on Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Xin Cheng, Duoqian Miao, Can Wang
A link-based approach to semantic relation analysis. Neurocomputing 154 (2015)
Can Wang, Chi-Hung Chi, Wei Zhou, Raymond K. Wong
Coupled Interdependent Attribute Analysis on Mixed Data. AAAI (2015)
Yunwei Zhao, Chi-Hung Chi, Chen (Cherie) Ding, Raymond K. Wong, Wei Zhao, Can Wang
Hierarchical Clustering Using Homogeneity as Similarity Measure for Big Data Analytics. SCC (2015)
Can Wang, Longbing Cao, Chi-Hung Chi
Formalization and Verification of Group Behavior Interactions. IEEE Trans. Syst. Man Cybern. Syst. 45 (8) (2015)
Wei Zhou, Chi-Hung Chi, Can Wang, Raymond K. Wong, Chen (Cherie) Ding
Bridging the Gap between Spatial Data Sources and Mashup Applications. BigData Congress (2014)
Yonghong Yu, Can Wang, Yang Gao
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems. CoRR (2014)
Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian
Behavior Informatics: A New Perspective. IEEE Intell. Syst. 29 (4) (2014)
Longbing Cao, Jinjiu Li, Can Wang, Philip S. Yu
Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. SDM (2013)
Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao
Coupled term-term relation analysis for document clustering. IJCNN (2013)
Can Wang, Zhong She, Longbing Cao
Coupled Attribute Analysis on Numerical Data. IJCAI (2013)
Zhong She, Can Wang
Volatility analysis via coupled Wishart process. IJCNN (2013)
Can Wang, Zhong She, Longbing Cao
Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects. ICDE (2013)
Jinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu
Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data. PAKDD (1) (2013)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen
Erratum: A Coupled Clustering Approach for Items Recommendation. PAKDD (2) (2013)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen
A Coupled Clustering Approach for Items Recommendation. PAKDD (2) (2013)
Zhong She, Can Wang, Longbing Cao
CCE: A Coupled Framework of Clustering Ensembles. AAAI (2012)
Can Wang, Mingchun Wang, Zhong She, Longbing Cao
CD: A Coupled Discretization Algorithm. PAKDD (2) (2012)
Juan Zhao, Mingchun Wang, Kun Liu, Can Wang
Discretization Based on Positive Domain and Information Entropy. CIS (2011)
Can Wang, Longbing Cao, Mingchun Wang, Jinjiu Li, Wei Wei, Yuming Ou
Coupled nominal similarity in unsupervised learning. CIKM (2011)
Chayapol Moemeng, Can Wang, Longbing Cao
Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization. ADMI (2011)
Jia-Yi Feng, Mingchun Wang, Can Wang, Longbing Cao
Enhanced co-occurrence distances for categorical data in unsupervised learning. ICMLC (2010)