Ye-Zheng Liu

According to our database, Ye-Zheng Liu authored at least 100 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recommending AI based on Quantified Self: Investigating the mechanism of consumer acceptance of AI recommendations.

Aoxue Li, Zhengping Ding, Chunhua Sun, Ye-Zheng Liu

Electron. Mark., December, 2024

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

Shouzheng Tao, Yezheng Liu, Chunhua Sun

Comput. Secur., March, 2024

Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach.

Fan Zhou, Yuanchun Jiang, Yang Qian, Yezheng Liu, Yidong Chai

Decis. Support Syst., February, 2024

Facial expression-enhanced recommendation for virtual fitting rooms.

Ying Xue, Jianshan Sun, Yezheng Liu, Xin Li, Kun Yuan

Decis. Support Syst., February, 2024

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

Zhiqiang Tian, Yezheng Liu, Jianshan Sun, Xue Zhang, Yuanchun Jiang

J. Inf. Sci., 2024

A Bayesian deep recommender system for uncertainty-aware online physician recommendation.

Fulai Cui, Shuo Yu, Yidong Chai, Yang Qian, Yuanchun Jiang, Yezheng Liu, Xiao Liu, Jianxin Li

Inf. Manag., 2024

Review-based recommendation under preference uncertainty: An asymmetric deep learning framework.

YingQiu Xiong, Yezheng Liu, Yang Qian, Yuanchun Jiang, Yidong Chai, Haifeng Ling

Eur. J. Oper. Res., 2024

Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method.

Yidong Chai, Kangwei Shi, Jiaheng Xie, Chunli Liu, Yuanchun Jiang, Ye-Zheng Liu

CoRR, 2024

Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model.

Yonghang Zhou, Hongyi Zhu, Yidong Chai, Yuanchun Jiang, Yezheng Liu

CoRR, 2024

A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning.

Anqi Zhou, Yezheng Liu, Yidong Chai, Hongyi Zhu, Xinyue Ge, Yuanchun Jiang, Meng Wang

CoRR, 2024

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

Erkang Jing, Yezheng Liu, Yidong Chai, Shuo Yu, Longshun Liu, Yuanchun Jiang, Yang Wang

CoRR, 2024

Examining the inconsistent effect of privacy control on privacy concerns in e-commerce services: The moderating role of privacy experience and risk propensity.

Shouzheng Tao, Yezheng Liu, Chunhua Sun

Comput. Secur., 2024

2023

Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression.

Yidong Chai, Ruicheng Liang, Sagar Samtani, Hongyi Zhu, Meng Wang, Ye-Zheng Liu, Yuanchun Jiang

IEEE Trans. Knowl. Data Eng., December, 2023

A deep interpretable representation learning method for speech emotion recognition.

Erkang Jing, Yezheng Liu, Yidong Chai, Jianshan Sun, Sagar Samtani, Yuanchun Jiang, Yang Qian

Inf. Process. Manag., November, 2023

What social characteristics enhance recommender systems? The effects of network embeddedness and preference heterogeneity.

Feifei He, Chunhua Sun, Ye-Zheng Liu

Electron. Commer. Res., September, 2023

Next location recommendation: a multi-context features integration perspective.

Xuemei Wei, Chunli Liu, Ye-Zheng Liu, Yang Li, Kai Zhang

World Wide Web (WWW), July, 2023

Why some products compete and others don't: A competitive attribution model from customer perspective.

Yang Qian, Yuanchun Jiang, Jennifer Shang, Yidong Chai, Ye-Zheng Liu

Decis. Support Syst., June, 2023

Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks.

Xuemei Wei, Ye-Zheng Liu, Jianshan Sun, Yuanchun Jiang, Qifeng Tang, Kun Yuan

ACM Trans. Knowl. Discov. Data, April, 2023

Learning personalized preference: A segmentation strategy under consumer sparse data.

Tingting Zhu, Yezheng Liu

Expert Syst. Appl., April, 2023

MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction.

Chunli Liu, Liu Yang, Weibo Gao, Yang Li, Yezheng Liu

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.

Xue Zhang, Yezheng Liu, Xin Li, Jianshan Sun

Inf. Technol. People, 2023

A novel label-based multimodal topic model for social media analysis.

Hao Li, Yang Qian, Yuanchun Jiang, Ye-Zheng Liu, Fan Zhou

Decis. Support Syst., 2023

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

Jiakai Xiao, Yang Qian, Wei Du, Yuyang Wang, Yuanchun Jiang, Ye-Zheng Liu

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.

Ruicheng Liang, Yidong Chai, Weifeng Li, Michael Chau, Yuanchun Jiang, Yezheng Liu

Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Message from the General Chairs DSC 2023.

Xiaofang Zhou, Yezheng Liu

Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023

2022

Exploiting Group Information for Personalized Recommendation with Graph Neural Networks.

Zhiqiang Tian, Yezheng Liu, Jianshan Sun, Yuanchun Jiang, Mingyue Zhu

ACM Trans. Inf. Syst., 2022

Dual-MGAN: An Efficient Approach for Semi-supervised Outlier Detection with Few Identified Anomalies.

Zhe Li, Chunhua Sun, Chunli Liu, Xiayu Chen, Meng Wang, Yezheng Liu

ACM Trans. Knowl. Discov. Data, 2022

Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model.

Yuanchun Jiang, Ruicheng Liang, Ji Zhang, Jianshan Sun, Ye-Zheng Liu, Yang Qian

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.

Yaguang Li, Yuanchun Jiang, Jianshan Sun, Chunhua Sun, Ye-Zheng Liu, Hai Wang

Inf. Sci., 2022

Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion.

Yang Qian, Wang Xu, Xiao Liu, Haifeng Ling, Yuanchun Jiang, Yidong Chai, Ye-Zheng Liu

Inf. Process. Manag., 2022

Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis.

Ju Fan, Yuanchun Jiang, Yezheng Liu, Yonghang Zhou

Internet Res., 2022

Topic discovery from short reviews based on data enhancement.

Tingting Zhu, Ye-Zheng Liu, Jianshan Sun, Chunhua Sun

Intell. Data Anal., 2022

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

Xuemei Wei, Yang Qian, Chunhua Sun, Jianshan Sun, Yezheng Liu

GeoInformatica, 2022

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

Jianshan Sun, Jian Song, Yuanchun Jiang, Yezheng Liu, Jun Li

Electron. Mark., 2022

Identifying and modeling the dynamic evolution of niche preferences.

Tingting Zhu, Ye-Zheng Liu, Qifeng Tang, Jianming He

Electron. Commer. Res. Appl., 2022

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

Xiumin Chu, Ye-Zheng Liu, Xiayu Chen, Zhengping Ding, Shouzheng Tao

Electron. Commer. Res., 2022

Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach.

Yang Qian, YingQiu Xiong, Yuyang Wang, Yuanchun Jiang, Yezheng Liu, Yidong Chai

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.

Meng Zhang, Yang Qian, Yuanchun Jiang, Yuyang Wang, Ye-Zheng Liu

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

Explore and Interpret the Correlations Among VR Applications.

Yang Qian, Huahua Xu, Yuyang Wang, Ye-Zheng Liu, Yuanchun Jiang

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.

Lu Yang, Ye-Zheng Liu, Yuanchun Jiang, Le Wu, Jianshan Sun

Knowl. Based Syst., 2021

Hierarchical attention model for personalized tag recommendation.

Jianshan Sun, Mingyue Zhu, Yuanchun Jiang, Ye-Zheng Liu, Le Wu

J. Assoc. Inf. Sci. Technol., 2021

The impact of imitation on Chinese social commerce buyers' purchase behavior: The moderating role of uncertainty.

Xiayu Chen, Yanrui Li, Robert M. Davison, Yezheng Liu

Int. J. Inf. Manag., 2021

Understanding the Role of Affordances in Promoting Social Commerce Engagement.

Xiayu Chen, Zhaoyang Liu, Shaobo Wei, Yezheng Liu

Int. J. Electron. Commer., 2021

Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature.

Ye-Zheng Liu, Jicheng Wang, Yang Qian, Yuanchun Jiang, Jianshan Sun, Yidong Chai

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020

Detecting topic-level influencers in large-scale scientific networks.

Yang Qian, Yezheng Liu, Yuanchun Jiang, Xiao Liu

World Wide Web, 2020

Generative Adversarial Active Learning for Unsupervised Outlier Detection.

Ye-Zheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, Xiangnan He

IEEE Trans. Knowl. Data Eng., 2020

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

Qifa Xu, Liukai Wang, Cuixia Jiang, Yezheng Liu

Neural Comput. Appl., 2020

Distributed representation learning via node2vec for implicit feedback recommendation.

Yezheng Liu, Zhiqiang Tian, Jianshan Sun, Yuanchun Jiang, Xue Zhang

Neural Comput. Appl., 2020

iLDA: An interactive latent Dirichlet allocation model to improve topic quality.

Yezheng Liu, Fei Du, Jianshan Sun, Yuanchun Jiang

J. Inf. Sci., 2020

Targeted influence maximization under a multifactor-based information propagation model.

Lingfei Li, Yezheng Liu, Qing Zhou, Wei Yang, Jiahang Yuan

Inf. Sci., 2020

Using favorite data to analyze asymmetric competition: Machine learning models.

Yezheng Liu, Yang Qian, Yuanchun Jiang, Jennifer Shang

Eur. J. Oper. Res., 2020

The impact of soft information extracted from descriptive text on crowdfunding performance.

Cuixia Jiang, Ranran Han, Qifa Xu, Yezheng Liu

Electron. Commer. Res. Appl., 2020

Segmenting market structure from multi-channel clickstream data: a novel generative model.

Yang Qian, Yuanchun Jiang, Yanan Du, Jianshan Sun, Yezheng Liu

Electron. Commer. Res., 2020

TopicModel4J: A Java Package for Topic Models.

Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jianshan Sun

CoRR, 2020

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

Zhe Li, Chunhua Sun, Chunli Liu, Xiayu Chen, Meng Wang, Yezheng Liu

CoRR, 2020

A Coherent Two-Phased Perspective of Online Group Buying.

Yingxin Song, Xiayu Chen, Carol Ou, Yezheng Liu

Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

Understanding Uncertainty Reduction Mechanisms in Social Commerce.

Xiayu Chen, Jiawen Wang, Shaobo Wei, Jianshan Sun, Yezheng Liu

Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

Short Text Processing for Analyzing User Portraits: A Dynamic Combination.

Zhengping Ding, Chen Yan, Chunli Liu, Jianrui Ji, Yezheng Liu

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.

Xiumin Chu, Yezheng Liu, Xiayu Chen

Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020

Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems.

Jianshan Sun, Jian Song, Yuanchun Jiang, Yezheng Liu, Mingyue Zhu

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.

Xiayu Chen, Shaobo Wei, Chunhua Sun, Yezheng Liu

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.

Qifa Xu, Zhongpu Bo, Cuixia Jiang, Yezheng Liu

Knowl. Based Syst., 2019

How to maximize advertising performance in online social networks.

Yezheng Liu, Lingfei Li

J. Oper. Res. Soc., 2019

Topic-based hierarchical Bayesian linear regression models for niche items recommendation.

Yezheng Liu, Qiang Xiong, Jianshan Sun, Yuanchun Jiang, Thushari P. Silva, Haifeng Ling

J. Inf. Sci., 2019

Identifying social roles using heterogeneous features in online social networks.

Yezheng Liu, Fei Du, Jianshan Sun, Thushari P. Silva, Yuanchun Jiang, Tingting Zhu

J. Assoc. Inf. Sci. Technol., 2019

Impact of social commerce constructs and social support on social commerce intentions.

Zaryab Sheikh, Yezheng Liu, Tahir Islam, Zahid Hameed, Ikram Ullah Khan

Inf. Technol. People, 2019

Service matchmaking for Internet of Things based on probabilistic topic model.

Yezheng Liu, Tingting Zhu, Yuanchun Jiang, Xiao Liu

Future Gener. Comput. Syst., 2019

Cloud service recommendation based on unstructured textual information.

Yuanchun Jiang, Dandan Tao, Yezheng Liu, Jianshan Sun, Haifeng Ling

Future Gener. Comput. Syst., 2019

An artificial neural network for mixed frequency data.

Qifa Xu, Xingxuan Zhuo, Cuixia Jiang, Yezheng Liu

Expert Syst. Appl., 2019

The Impact of Herd Behavior on Purchase Behavior: The Moderating Role of Uncertainty.

Xiayu Chen, Yanrui Li, Robert M. Davison, Yezheng Liu

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.

Yezheng Liu, Xue Zhang, Jianshan Sun, Yuanchun Jiang, Zhiqiang Tian

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Purchase Prediction Based on a Non-parametric Bayesian Method.

Yezheng Liu, Tingting Zhu, Yuanchun Jiang

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Group recommendation based on a bidirectional tensor factorization model.

Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Yezheng Liu, Xiao Liu

World Wide Web, 2018

Collaborative matrix factorization mechanism for group recommendation in big data-based library systems.

Yezheng Liu, Lu Yang, Jianshan Sun, Yuanchun Jiang, Jinkun Wang

Libr. Hi Tech, 2018

A hybrid approach for article recommendation in research social networks.

Jianshan Sun, Yuanchun Jiang, Xusen Cheng, Wei Du, Yezheng Liu, Jian Ma

J. Inf. Sci., 2018

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

Yezheng Liu, Jiajia Wang, Yuanchun Jiang, Jianshan Sun, Jennifer Shang

Inf. Sci., 2018

Online pricing with bundling and coupon discounts.

Yuanchun Jiang, Yezheng Liu, Hai Wang, Jennifer Shang, Shuai Ding

Int. J. Prod. Res., 2018

A crowdsourcing-based topic model for service matchmaking in Internet of Things.

Yezheng Liu, Fei Du, Jianshan Sun, Yuanchun Jiang, Jianmin He, Tingting Zhu, Chunhua Sun

Future Gener. Comput. Syst., 2018

Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives.

Yuanchun Jiang, Yezheng Liu, Jennifer Shang, Pinar Yildirim, Qingfu Zhang

Eur. J. Oper. Res., 2018

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

An Lu, Zhengping Ding, Yezheng Liu, Yaguang Guo, Yuanchun Jiang, Zhengguang Chen

IEEE Access, 2018

A Bayesian Personalized Ranking Algorithm Based on Tag Preference.

Yuanchun Jiang, Manli Lv, Jianshan Sun, Yezheng Liu

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Mining Product Relationships for Recommendation Based on Cloud Service Data.

Yuanchun Jiang, Cuicui Ji, Yang Qian, Yezheng Liu

Proceedings of the Business Process Management Workshops, 2018

2016

A data-stream-based abnormal data mining in web texts environment.

Jin-Yun Wang, Yezheng Liu, Jinkun Wang

J. Comput. Methods Sci. Eng., 2016

PT-LDA: A latent variable model to predict personality traits of social network users.

Yezheng Liu, Jiajia Wang, Yuan-Chun Jiang

Neurocomputing, 2016

Identifying social influence in complex networks: A novel conductance eigenvector centrality model.

Xujun Li, Yezheng Liu, Yuan-Chun Jiang, Xiao Liu

Neurocomputing, 2016

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

Jinkun Wang, Yezheng Liu, Jianshan Sun, Yuan-Chun Jiang, Chunhua Sun

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Clustering Product Features of Online Reviews Based on Nonnegative Matrix Tri-factorizations.

Jiajia Wang, Yezheng Liu, Yuanchun Jiang, Chunhua Sun, Jianshan Sun, Yanan Du

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems.

Yezheng Liu, Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Chunhua Sun

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.

Yezheng Liu, Fei Du, Yuanchun Jiang, Xiao Liu, Qiudan Wang

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.

Jianmin He, Long Yu, Yezheng Liu

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.

Fei Du, Yezheng Liu, Xiao Liu, Jianshan Sun, Yuan-Chun Jiang

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.

Jianmin He, Mengna Hu, Mingguang Shi, Yezheng Liu

Expert Syst. Appl., 2014

2012

Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation.

Yuan-Chun Jiang, Yezheng Liu

Int. J. Inf. Technol. Decis. Mak., 2012

2011

Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles.

Yuan-Chun Jiang, Jennifer Shang, Chris F. Kemerer, Yezheng Liu

Mark. Sci., 2011

2010

Integrating classification capability and reliability in associative classification: A beta-stronger model.

Yuan-Chun Jiang, Yezheng Liu, Xiao Liu, Shanling Yang

Expert Syst. Appl., 2010

Maximizing customer satisfaction through an online recommendation system: A novel associative classification model.

Yuan-Chun Jiang, Jennifer Shang, Yezheng Liu

Decis. Support Syst., 2010

2008

CSMC: A combination strategy for multi-class classification based on multiple association rules.

Ye-Zheng Liu, Yuan-Chun Jiang, Xiao Liu, Shanlin Yang

Knowl. Based Syst., 2008

A Novel Website Structure Optimization Model for More Effective Web Navigation.

Wen-long Lin, Ye-Zheng Liu

Proceedings of the International Workshop on Knowledge Discovery and Data Mining, 2008

2007

Constructing Associative Classifier Using Rough Sets and Evidence Theory.

Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Zhang

Proceedings of the Rough Sets, 2007

2004

An Ant Colony Approach for Discovery of Users Preferred Navigation Paths.

Haifeng Ling, Yezheng Liu, Shanlin Yang

Proceedings of the Pacific Asia Conference on Information Systems, 2004