Ye-Zheng Liu

Orcid: 0000-0002-9193-5236

Affiliations:
  • Hefei University of Technology, School of Management, China


According to our database1, Ye-Zheng Liu authored at least 91 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Understanding information sensitivity perceptions and its impact on information privacy concerns in e-commerce services: Insights from China.
Comput. Secur., March, 2024

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

Facial expression-enhanced recommendation for virtual fitting rooms.
Decis. Support Syst., February, 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

What social characteristics enhance recommender systems? The effects of network embeddedness and preference heterogeneity.
Electron. Commer. Res., September, 2023

Next location recommendation: a multi-context features integration perspective.
World Wide Web (WWW), July, 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

Learning personalized preference: A segmentation strategy under consumer sparse data.
Expert Syst. Appl., April, 2023

MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction.
Electron. Commer. Res. Appl., January, 2023

Health IT in our daily life: impact of mobile phone use on the emotions and compliance of diabetes patients.
Inf. Technol. People, 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

Message from the General Chairs DSC 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

Dual-MGAN: An Efficient Approach for Semi-supervised Outlier Detection with Few Identified Anomalies.
ACM Trans. Knowl. Discov. Data, 2022

Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model.
ACM Trans. Knowl. Discov. Data, 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

Topic discovery from short reviews based on data enhancement.
Intell. Data Anal., 2022

A survey of location-based social networks: problems, methods, and future research directions.
GeoInformatica, 2022

Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization.
Electron. Mark., 2022

Identifying and modeling the dynamic evolution of niche preferences.
Electron. Commer. Res. Appl., 2022

What motivates consumer to engage in microblogs? The roles of brand post characteristics and brand prestige.
Electron. Commer. Res., 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

The impact of imitation on Chinese social commerce buyers' purchase behavior: The moderating role of uncertainty.
Int. J. Inf. Manag., 2021

Understanding the Role of Affordances in Promoting Social Commerce Engagement.
Int. J. Electron. Commer., 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

A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns.
Neural Comput. Appl., 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

Targeted influence maximization under a multifactor-based information propagation model.
Inf. Sci., 2020

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

The impact of soft information extracted from descriptive text on crowdfunding performance.
Electron. Commer. Res. Appl., 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

RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies.
CoRR, 2020

A Coherent Two-Phased Perspective of Online Group Buying.
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

Understanding Uncertainty Reduction Mechanisms in Social Commerce.
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

Short Text Processing for Analyzing User Portraits: A Dynamic Combination.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

The Impacts of Content and Source Factors on Consumers' Liking Toward Advertisements: An HSM-Based Framework.
Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020

Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems.
Proceedings of the 26th Americas Conference on Information Systems, 2020

2019
How Technology Support for Contextualization Affects Enterprise Social Media Use: A Media System Dependency Perspective.
IEEE Trans. Prof. Commun., 2019

Does Google search index really help predicting stock market volatility? Evidence from a modified mixed data sampling model on volatility.
Knowl. Based Syst., 2019

How to maximize advertising performance in online social networks.
J. Oper. Res. Soc., 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

Impact of social commerce constructs and social support on social commerce intentions.
Inf. Technol. People, 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

An artificial neural network for mixed frequency data.
Expert Syst. Appl., 2019

The Impact of Herd Behavior on Purchase Behavior: The Moderating Role of Uncertainty.
Proceedings of the 23rd Pacific Asia Conference on Information Systems, 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

2016
A data-stream-based abnormal data mining in web texts environment.
J. Comput. Methods Sci. Eng., 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

The Multiple Attribute Association Decision-Making Method to Make Online Advertisements Using Influential Users in Social Network.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 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

2014
Research on the measure method of complaint theme influence on online social network.
Expert Syst. Appl., 2014

2012
Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation.
Int. J. Inf. Technol. Decis. Mak., 2012

2011
Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles.
Mark. Sci., 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

A Novel Website Structure Optimization Model for More Effective Web Navigation.
Proceedings of the International Workshop on Knowledge Discovery and Data Mining, 2008

2007
Constructing Associative Classifier Using Rough Sets and Evidence Theory.
Proceedings of the Rough Sets, 2007

2004
An Ant Colony Approach for Discovery of Users Preferred Navigation Paths.
Proceedings of the Pacific Asia Conference on Information Systems, 2004


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