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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

A supervised contrastive learning-based model for image emotion classification.
World Wide Web (WWW), May, 2024

An interpretable wide and deep model for online disinformation detection.
Expert Syst. Appl., March, 2024

Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach.
Decis. Support Syst., February, 2024

Why a user prefers an artwork: A deep attention model for artwork recommendation.
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

Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network.
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

A deep interpretable representation learning method for speech emotion recognition.
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

A novel label-based multimodal topic model for social media analysis.
Decis. Support Syst., 2023

VR/AR/MR in the Electricity Industry: Concepts, Techniques, and Applications.
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

An Image Emotion Classification Method Based on Supervised Contrastive Learning.
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

Explore and Interpret the Correlations Among VR Applications.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

2021
Predicting personalized grouping and consumption: A collaborative evolution model.
Knowl. Based Syst., 2021

Hierarchical attention model for personalized tag recommendation.
J. Assoc. Inf. Sci. Technol., 2021

Uncovering information diffusion patterns in different networks using the L-metric.
Enterp. Inf. Syst., 2021

Design and Implementation of Data Adapter in SWIM.
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
Detecting topic-level influencers in large-scale scientific networks.
World Wide Web, 2020

Generative Adversarial Active Learning for Unsupervised Outlier Detection.
IEEE Trans. Knowl. Data Eng., 2020

Distributed representation learning via node2vec for implicit feedback recommendation.
Neural Comput. Appl., 2020

iLDA: An interactive latent Dirichlet allocation model to improve topic quality.
J. Inf. Sci., 2020

Using favorite data to analyze asymmetric competition: Machine learning models.
Eur. J. Oper. Res., 2020

Leveraging friend and group information to improve social recommender system.
Electron. Commer. Res., 2020

Segmenting market structure from multi-channel clickstream data: a novel generative model.
Electron. Commer. Res., 2020

TopicModel4J: A Java Package for Topic Models.
CoRR, 2020

Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems.
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

Identifying social roles using heterogeneous features in online social networks.
J. Assoc. Inf. Sci. Technol., 2019

Service matchmaking for Internet of Things based on probabilistic topic model.
Future Gener. Comput. Syst., 2019

Cloud service recommendation based on unstructured textual information.
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

Purchase Prediction Based on a Non-parametric Bayesian Method.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Group recommendation based on a bidirectional tensor factorization model.
World Wide Web, 2018

Collaborative matrix factorization mechanism for group recommendation in big data-based library systems.
Libr. Hi Tech, 2018

A hybrid approach for article recommendation in research social networks.
J. Inf. Sci., 2018

Identifying impact of intrinsic factors on topic preferences in online social media: A nonparametric hierarchical Bayesian approach.
Inf. Sci., 2018

Online pricing with bundling and coupon discounts.
Int. J. Prod. Res., 2018

A crowdsourcing-based topic model for service matchmaking in Internet of Things.
Future Gener. Comput. Syst., 2018

Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives.
Eur. J. Oper. Res., 2018

An Evolution Model of Group Opinions Based on Social Judgment Theory (August 2018).
IEEE Access, 2018

A Bayesian Personalized Ranking Algorithm Based on Tag Preference.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Mining Product Relationships for Recommendation Based on Cloud Service Data.
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

Diversified Recommendation Incorporating Item Content Information Based on MOEA/D.
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

Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

A Novel APPs Recommendation Algorithm Based on APPs Popularity and User Behaviors.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

A Personalized Microblog Search Model Considering User-Author Relationship.
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
A Novel APP Recommendation Method Based on SVD and Social Influence.
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
Preventing Temporal Violations in Scientific Workflows: Where and How.
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
Constructing Associative Classifier Using Rough Sets and Evidence Theory.
Proceedings of the Rough Sets, 2007


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