Yuan-Chun Jiang
Orcid: 0000-0003-0886-3647
According to our database1,
Yuan-Chun Jiang
authored at least 81 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation.
ACM Trans. Knowl. Discov. Data, June, 2024
The Disparity in Normalized Difference Vegetarian Index Response to Climate Warming and Humidification in the Tibetan Plateau before and after 1998.
Remote. Sens., June, 2024
World Wide Web (WWW), May, 2024
Expert Syst. Appl., March, 2024
Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach.
Decis. Support Syst., February, 2024
J. Inf. Sci., 2024
A Bayesian deep recommender system for uncertainty-aware online physician recommendation.
Inf. Manag., 2024
Review-based recommendation under preference uncertainty: An asymmetric deep learning framework.
Eur. J. Oper. Res., 2024
Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework.
Electron. Commer. Res. Appl., 2024
Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model.
CoRR, 2024
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning.
CoRR, 2024
CoRR, 2024
2023
Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression.
IEEE Trans. Knowl. Data Eng., December, 2023
Inf. Process. Manag., November, 2023
A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation.
ACM Trans. Manag. Inf. Syst., June, 2023
Why some products compete and others don't: A competitive attribution model from customer perspective.
Decis. Support Syst., June, 2023
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks.
ACM Trans. Knowl. Discov. Data, April, 2023
Decis. Support Syst., 2023
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023
Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach.
Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023
Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023
2022
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks.
ACM Trans. Inf. Syst., 2022
Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model.
ACM Trans. Knowl. Discov. Data, 2022
An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence.
IEEE Trans. Dependable Secur. Comput., 2022
Adaptive finite-time direct fuzzy control for a nonlinear system with an unknown control gain based on an observer.
Inf. Sci., 2022
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion.
Inf. Process. Manag., 2022
Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis.
Internet Res., 2022
Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization.
Electron. Mark., 2022
Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
Helpfulness Prediction for VR Application Reviews: Exploring Topic Signals for Causal Inference.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022
2021
Knowl. Based Syst., 2021
J. Assoc. Inf. Sci. Technol., 2021
Enterp. Inf. Syst., 2021
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021
Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021
2020
World Wide Web, 2020
IEEE Trans. Knowl. Data Eng., 2020
Distributed representation learning via node2vec for implicit feedback recommendation.
Neural Comput. Appl., 2020
J. Inf. Sci., 2020
Eur. J. Oper. Res., 2020
Electron. Commer. Res., 2020
Segmenting market structure from multi-channel clickstream data: a novel generative model.
Electron. Commer. Res., 2020
Proceedings of the 26th Americas Conference on Information Systems, 2020
2019
Topic-based hierarchical Bayesian linear regression models for niche items recommendation.
J. Inf. Sci., 2019
J. Assoc. Inf. Sci. Technol., 2019
Future Gener. Comput. Syst., 2019
Future Gener. Comput. Syst., 2019
Understanding Patients' WOM of IT-Enabled Healthcare Service: A Case Study of Online Health Consultation.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
2018
World Wide Web, 2018
Collaborative matrix factorization mechanism for group recommendation in big data-based library systems.
Libr. Hi Tech, 2018
J. Inf. Sci., 2018
Identifying impact of intrinsic factors on topic preferences in online social media: A nonparametric hierarchical Bayesian approach.
Inf. Sci., 2018
Future Gener. Comput. Syst., 2018
Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives.
Eur. J. Oper. Res., 2018
IEEE Access, 2018
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018
Proceedings of the Business Process Management Workshops, 2018
2017
A novel collective matrix factorization model for recommendation with fine-grained social trust prediction.
Concurr. Comput. Pract. Exp., 2017
2016
考虑用户活跃度和项目流行度的基于项目最近邻的协同过滤算法 (Item-based Collaborative Filtering Algorithm Integrating User Activity and Item Popularity).
计算机科学, 2016
PT-LDA: A latent variable model to predict personality traits of social network users.
Neurocomputing, 2016
Identifying social influence in complex networks: A novel conductance eigenvector centrality model.
Neurocomputing, 2016
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016
Clustering Product Features of Online Reviews Based on Nonnegative Matrix Tri-factorizations.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
A Novel Fine-Grained User Trust Relation Prediction for Improving Recommendation Accuracy.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016
User Role Analysis in Online Social Networks Based on Dirichlet Process Mixture Models.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016
2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
2012
Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation.
Int. J. Inf. Technol. Decis. Mak., 2012
2011
IEEE Trans. Software Eng., 2011
Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles.
Mark. Sci., 2011
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems.
J. Syst. Softw., 2011
2010
Integrating classification capability and reliability in associative classification: A beta-stronger model.
Expert Syst. Appl., 2010
Maximizing customer satisfaction through an online recommendation system: A novel associative classification model.
Decis. Support Syst., 2010
2008
CSMC: A combination strategy for multi-class classification based on multiple association rules.
Knowl. Based Syst., 2008
2007
Proceedings of the Rough Sets, 2007