Can Wang

103 papers A* 11A 3B 7C 6Misc 3Journal 46Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive triple collaborative learning for contrastive community discovery in heterogeneous graphs with fuzzy boundaries.
Appl. Intell.
Weimin Li, Yue Jiang, Mengying Dai, Yan Zhao, Bin Sheng, Quan-Ke Pan, Qun Jin, Can Wang
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part I
PAKDD (1)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II
PAKDD (2)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part III
PAKDD (3)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV
PAKDD (4)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part V
PAKDD (5)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — conf
Contrastive Learning for Enhancing Model Selection in Sequential Recommender Ensemble.
ICKG
Ye Tao, Tianxing Wang, Oliver Qiu, Can Wang, Alan Wee-Chung Liew
2025 B conf
Cross-Modal Sequential Point-of-Interest Recommendation with Lightweight Hybrid Fusion Strategy.
DaWaK
Tianxing Wang, Can Wang, Hui Tian, Hong Shen
2025 — ed.
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII
PAKDD (7)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025 — ed.
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI
PAKDD (6)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025 J jnl
Heterogeneous network for Hierarchical Fine-Grained Domain Fake News Detection.
Inf. Process. Manag.
Yue Wang, Shizhong Yuan, Weimin Li, Yifan Feng, Xiao Yu, Fangfang Liu, Can Wang, Quanke Pan
2025 B conf
Local-Aware Convolutional Modulation for Short-Term Sequential Recommendation.
DaWaK
Tianxing Wang, Can Wang, Hui Tian, Hong Shen
2025 J jnl
M
CoRR
Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan
2025 A* conf
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models.
IJCAI
Jiaxin Ju, Yizhen Zheng, Huan Yee Koh, Can Wang, Shirui Pan
2025 J jnl
Multilevel structure fusion for community detection in heterogeneous graphs via disrupting heterophily.
Knowl. Based Syst.
Mengying Dai, Weimin Li, Xinyi Zhang, Fangfang Liu, Mingjun Xin, Can Wang
2025 A conf
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories.
CIKM
Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chérubin, Can Wang, Alan Wee-Chung Liew, Qinghua Lu, Jingwei Yao, Hong Zhang, Shirui Pan, Xingquan Zhu
2025 J jnl
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories.
CoRR
Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chérubin, Alan Wee-Chung Liew, Can Wang, Qinghua Lu, Jingwei Yao, Shirui Pan, Hong Zhang, Xingquan Zhu
2025 J jnl
Point-of-Interest Recommendations and Large Language Models: A Powerful Combination.
IEEE Intell. Syst.
Tianxing Wang, Can Wang
2025 A* conf
Test-Time GNN Model Evaluation on Dynamic Graphs.
ICDM
Bo Li, Xin Zheng, Ming Jin, Can Wang, Shirui Pan
2025 J jnl
Test-time GNN Model Evaluation on Dynamic Graphs.
CoRR
Bo Li, Xin Zheng, Ming Jin, Can Wang, Shirui Pan
2025 J jnl
User-based clustering deep model for the sequential point-of-interest recommendation.
Knowl. Inf. Syst.
Tianxing Wang, Can Wang, Hui Tian, Alan Wee-Chung Liew
2024 J jnl
Embracing LLMs for Point-of-Interest Recommendations.
IEEE Intell. Syst.
Tianxing Wang, Can Wang
2024 J jnl
Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field.
Knowl. Based Syst.
Chang Guo, Weimin Li, Jingchao Wang, Xiao Yu, Xiao Liu, Alex Munyole Luvembe, Can Wang, Qun Jin
2023 J jnl
AffinityVAE: A multi-objective model for protein-ligand affinity prediction and drug design.
Comput. Biol. Chem.
Mengying Wang, Weimin Li, Xiao Yu, Yin Luo, Ke Han, Can Wang, Qun Jin
2023 — conf
An in-depth analysis of robustness and accuracy of recommendation systems.
ICDM (Workshops)
Haonan Ma, Can Wang, Yunwei Zhao, Luhua Wang, Xiulian Cao, Jinyin Chen, Han Han, Meichen Liu
2023 J jnl
Coevolution modeling of group behavior and opinion based on public opinion perception.
Knowl. Based Syst.
Weimin Li, Chang Guo, Zhibin Deng, Fangfang Liu, Jianjia Wang, Ruiqiang Guo, Can Wang, Qun Jin
2023 J jnl
Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model.
Future Gener. Comput. Syst.
Ye Tao, Can Wang, Alan Wee-Chung Liew
2023 J jnl
Enabling inductive knowledge graph completion via structure-aware attention network.
Appl. Intell.
Jingchao Wang, Weimin Li, Wei Liu, Can Wang, Qun Jin
2023 A* conf
GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling.
ICDM
Tianxing Wang, Can Wang, Hui Tian, Hong Shen
2023 — conf
Global-Aware External Attention Deep Model for Sequential Recommendation.
PAKDD (3)
Tianxing Wang, Can Wang
2023 — conf
How Does ChatGPT Affect Fake News Detection Systems?
ADMA (2)
Bo Li, Jiaxin Ju, Can Wang, Shirui Pan
2023 J jnl
Interdependence analysis on heterogeneous data via behavior interior dimensions.
Knowl. Based Syst.
Can Wang, Chi-Hung Chi, Lina Yao, Alan Wee-Chung Liew, Hong Shen
2023 J jnl
Item trend learning for sequential recommendation system using gated graph neural network.
Neural Comput. Appl.
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2023 J jnl
Personalized tag recommendation via denoising auto-encoder.
World Wide Web (WWW)
Weibin Zhao, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen
2022 J jnl
An efficient two-factor authentication scheme based on negative databases: Experiments and extensions.
Appl. Soft Comput.
Ran Liu, Xiang Wang, Can Wang
2022 J jnl
An influence maximization method based on crowd emotion under an emotion-based attribute social network.
Inf. Process. Manag.
Weimin Li, Yaqiong Li, Wei Liu, Can Wang
2022 J jnl
Collaborative representation learning for nodes and relations via heterogeneous graph neural network.
Knowl. Based Syst.
Weimin Li, Lin Ni, Jianjia Wang, Can Wang
2022 J jnl
Enhancing recommender ensemble by estimating input fitness.
Comput. Electr. Eng.
Ye Tao, Can Wang, Alan Wee-Chung Liew, Sebastian Binnewies
2022 — conf
Hyperbolic Personalized Tag Recommendation.
DASFAA (2)
Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
2022 J jnl
SSLE: A framework for evaluating the "Filter Bubble" effect on the news aggregator and recommenders.
World Wide Web
Han Han, Can Wang, Yunwei Zhao, Min Shu, Wenlei Wang, Yong Min
2021 Misc conf
A Novel Class-wise Forgetting Detector in Continual Learning.
DICTA
Xuan Cuong Pham, Alan Wee-Chung Liew, Can Wang
2021 J jnl
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification.
CoRR
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang
2021 — conf
Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation.
WI/IAT
Tianxing Wang, Can Wang, Hui Tian, Alan Wee-Chung Liew, Yunwei Zhao
2021 J jnl
Evolutionary community discovery in dynamic social networks via resistance distance.
Expert Syst. Appl.
Weimin Li, Heng Zhu, Shaohua Li, Hao Wang, Hongning Dai, Can Wang, Qun Jin
2021 J jnl
Learning Complex Couplings and Interactions.
IEEE Intell. Syst.
Can Wang, Fosca Giannotti, Longbing Cao
2021 J jnl
Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction.
ACM Trans. Internet Techn.
Wenpeng Lu, Rui Yu, Shoujin Wang, Can Wang, Ping Jian, Heyan Huang
2020 A* conf
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
NeurIPS
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
2020 J jnl
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
CoRR
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
2020 — conf
An Impact Evaluation Framework of Personalized News Aggregation and Recommendation Systems.
WI/IAT
Yunwei Zhao, Can Wang, Han Han, Min Shu, Wenlei Wang
2020 J jnl
Efficient processing of reverse nearest neighborhood queries in spatial databases.
Inf. Syst.
Md. Saiful Islam, Bojie Shen, Can Wang, David Taniar, Junhu Wang
2020 A* conf
Spectrum-Guided Adversarial Disparity Learning.
KDD
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2020 J jnl
Spectrum-Guided Adversarial Disparity Learning.
CoRR
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2020 B conf
TRec: Sequential Recommender Based On Latent Item Trend Information.
IJCNN
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2020 J jnl
TRec: Sequential Recommender Based On Latent Item Trend Information.
CoRR
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2020 J jnl
Three-hop velocity attenuation propagation model for influence maximization in social networks.
World Wide Web
Weimin Li, Yuting Fan, Jun Mo, Wei Liu, Can Wang, Minjun Xin, Qun Jin
2020 J jnl
Truth finding by reliability estimation on inconsistent entities for heterogeneous data sets.
Knowl. Based Syst.
Hui Tian, Wenwen Sheng, Hong Shen, Can Wang
2019 C conf
A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics.
ADMA
Han Han, Yunwei Zhao, Can Wang, Min Shu, Tao Peng, Chi-Hung Chi, Yonghong Yu
2019 B conf
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
Yunwei Zhao, Can Wang, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Min Shu
2019 C conf
DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition.
ADMA
Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng
2019 — conf
Influence Maximization Based on Node Attraction Model.
DASC/PiCom/DataCom/CyberSciTech
Guijiang Wang, Jiulei Jiang, Weimin Li, Can Wang
2019 B conf
Integrating Social Circles and Network Representation Learning for Item Recommendation.
IJCNN
Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi, Xiaotian Wu
2019 J jnl
Low-rank hypergraph feature selection for multi-output regression.
World Wide Web
Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim-Han Thung, Wei Zheng, Can Wang
2019 J jnl
Neural Personalized Ranking via Poisson Factor Model for Item Recommendation.
Complex.
Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang
2019 C conf
TOM: A Threat Operating Model for Early Warning of Cyber Security Threats.
ADMA
Tao Bo, Yue Chen, Can Wang, Yunwei Zhao, Kwok-Yan Lam, Chi-Hung Chi, Hui Tian
2019 C conf
Top-N Hashtag Prediction via Coupling Social Influence and Homophily.
ADMA
Can Wang, Zhonghao Sun, Yunwei Zhao, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Bela Stantic
2019 C conf
Unfolding the Mixed and Intertwined: A Multilevel View of Topic Evolution on Twitter.
ADMA
Yunwei Zhao, Can Wang, Han Han, Willem-Jan van den Heuvel, Chi-Hung Chi, Weimin Li
2018 A* conf
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter.
IJCAI
Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang
2018 — conf
A Two-Factor Authentication Scheme based on Negative Databases.
SSCI
Ran Liu, Xiang Wang, Can Wang
2018 J jnl
Behavior-Interior-Aware User Preference Analysis Based on Social Networks.
Complex.
Can Wang, Tao Bo, Yunwei Zhao, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang, Min Shu
2018 J jnl
Coupled Clustering Ensemble by Exploring Data Interdependence.
ACM Trans. Knowl. Discov. Data
Can Wang, Chi-Hung Chi, Zhong She, Longbing Cao, Bela Stantic
2018 — conf
Geographical Proximity Boosted Recommendation Algorithms for Real Estate.
WISE (2)
Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang
2018 Misc conf
Interdependent Model for Point-of-Interest Recommendation via Social Networks.
ADC
Jake Hashim-Jones, Can Wang, Md. Saiful Islam, Bela Stantic
2018 A* conf
Multi-modality Sensor Data Classification with Selective Attention.
IJCAI
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018 J jnl
Multi-modality Sensor Data Classification with Selective Attention.
CoRR
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers
PAKDD (Workshops)
Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang
2017 J jnl
Attributes coupling based matrix factorization for item recommendation.
Appl. Intell.
Yonghong Yu, Can Wang, Hao Wang, Yang Gao
2017 J jnl
Graph PCA Hashing for Similarity Search.
IEEE Trans. Multim.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang
2016 J jnl
Special Issue on Trajectory-based Behaviour Analytics.
J. Comput. Syst. Sci.
Chi-Hung Chi, Can Wang, Yu Zheng
2015 J jnl
A link-based approach to semantic relation analysis.
Neurocomputing
Xin Cheng, Duoqian Miao, Can Wang
2015 J jnl
Coupled Attribute Similarity Learning on Categorical Data.
IEEE Trans. Neural Networks Learn. Syst.
Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi
2015 A* conf
Coupled Interdependent Attribute Analysis on Mixed Data.
AAAI
Can Wang, Chi-Hung Chi, Wei Zhou, Raymond K. Wong
2015 J jnl
Formalization and Verification of Group Behavior Interactions.
IEEE Trans. Syst. Man Cybern. Syst.
Can Wang, Longbing Cao, Chi-Hung Chi
2015 — conf
Hierarchical Clustering Using Homogeneity as Similarity Measure for Big Data Analytics.
SCC
Yunwei Zhao, Chi-Hung Chi, Chen Ding, Raymond K. Wong, Wei Zhao, Can Wang
2015 J jnl
Reports from the 2015 AAAI Workshop Program.
AI Mag.
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
2014 J jnl
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems.
CoRR
Yonghong Yu, Can Wang, Yang Gao
2014 J jnl
Behavior Informatics: A New Perspective.
IEEE Intell. Syst.
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
2014 — conf
Bridging the Gap between Spatial Data Sources and Mashup Applications.
BigData Congress
Wei Zhou, Chi-Hung Chi, Can Wang, Raymond K. Wong, Chen Ding
2013 — conf
A Coupled Clustering Approach for Items Recommendation.
PAKDD (2)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen
2013 A* conf
Coupled Attribute Analysis on Numerical Data.
IJCAI
Can Wang, Zhong She, Longbing Cao
2013 — —
Coupled behavior informatics: modeling, analysis and learning
Can Wang
2013 A* conf
Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects.
ICDE
Can Wang, Zhong She, Longbing Cao
2013 B conf
Coupled term-term relation analysis for document clustering.
IJCNN
Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao
2013 — conf
Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data.
PAKDD (1)
Jinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu
2013 A conf
Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis.
SDM
Longbing Cao, Jinjiu Li, Can Wang, Philip S. Yu
2013 — conf
Erratum: A Coupled Clustering Approach for Items Recommendation.
PAKDD (2)
Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen
2013 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers
PAKDD Workshops
Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng
2013 B conf
Volatility analysis via coupled Wishart process.
IJCNN
Zhong She, Can Wang
2012 A* conf
CCE: A Coupled Framework of Clustering Ensembles.
AAAI
Zhong She, Can Wang, Longbing Cao
2012 — conf
CD: A Coupled Discretization Algorithm.
PAKDD (2)
Can Wang, Mingchun Wang, Zhong She, Longbing Cao
2011 A conf
Coupled nominal similarity in unsupervised learning.
CIKM
Can Wang, Longbing Cao, Mingchun Wang, Jinjiu Li, Wei Wei, Yuming Ou
2011 C conf
Discretization Based on Positive Domain and Information Entropy.
CIS
Juan Zhao, Mingchun Wang, Kun Liu, Can Wang
2011 — conf
Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization.
ADMI
Chayapol Moemeng, Can Wang, Longbing Cao
2010 Misc conf
Enhanced co-occurrence distances for categorical data in unsupervised learning.
ICMLC
Jia-Yi Feng, Mingchun Wang, Can Wang, Longbing Cao