An Ant Colony Approach for Discovery of Users Preferred Navigation Paths. - Haifeng Ling; Yezheng Liu 001; Shanlin Yang (PACIS, 2004)

Constructing Associative Classifier Using Rough Sets and Evidence Theory. - Yuan-Chun Jiang; Ye-Zheng Liu 001; Xiao Liu 004; Jie-Kui Zhang (RSFDGrC, 2007)

A Novel Website Structure Optimization Model for More Effective Web Navigation. - Wen-long Lin; Ye-Zheng Liu 001 (WKDD, 2008)

CSMC: A combination strategy for multi-class classification based on multiple association rules. - Ye-Zheng Liu 001; Yuan-Chun Jiang; Xiao Liu 004; Shanlin Yang (Knowl. Based Syst., 2008)

Maximizing customer satisfaction through an online recommendation system: A novel associative classification model. - Yuan-Chun Jiang; Jennifer Shang; Yezheng Liu 001 (Decis. Support Syst., 2010)

Integrating classification capability and reliability in associative classification: A beta-stronger model. - Yuan-Chun Jiang; Yezheng Liu 001; Xiao Liu 004; Shanling Yang (Expert Syst. Appl., 2010)

Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles. - Yuan-Chun Jiang; Jennifer Shang; Chris F. Kemerer; Yezheng Liu 001 (Mark. Sci., 2011)

Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation. - Yuan-Chun Jiang; Yezheng Liu 001 (Int. J. Inf. Technol. Decis. Mak., 2012)

Research on the measure method of complaint theme influence on online social network. - Jianmin He; Mengna Hu; Mingguang Shi; Yezheng Liu 001 (Expert Syst. Appl., 2014)

User Role Analysis in Online Social Networks Based on Dirichlet Process Mixture Models. - Fei Du; Yezheng Liu 001; Xiao Liu 004; Jianshan Sun; Yuan-Chun Jiang (CBD, 2016)

The Multiple Attribute Association Decision-Making Method to Make Online Advertisements Using Influential Users in Social Network. - Jianmin He; Long Yu; Yezheng Liu 001 (DSC, 2016)

A Novel APPs Recommendation Algorithm Based on APPs Popularity and User Behaviors. - Yezheng Liu 001; Fei Du; Yuanchun Jiang; Xiao Liu 004; Qiudan Wang (DSC, 2016)

Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems. - Yezheng Liu 001; Jinkun Wang; Yuanchun Jiang; Jianshan Sun; Chunhua Sun (DSC, 2016)

Clustering Product Features of Online Reviews Based on Nonnegative Matrix Tri-factorizations. - Jiajia Wang; Yezheng Liu 001; Yuanchun Jiang; Chunhua Sun; Jianshan Sun; Yanan Du (DSC, 2016)

Diversified Recommendation Incorporating Item Content Information Based on MOEA/D. - Jinkun Wang; Yezheng Liu 001; Jianshan Sun; Yuan-Chun Jiang; Chunhua Sun (HICSS, 2016)

Identifying social influence in complex networks: A novel conductance eigenvector centrality model. - Xujun Li; Yezheng Liu 001; Yuan-Chun Jiang; Xiao Liu 004 (Neurocomputing, 2016)

PT-LDA: A latent variable model to predict personality traits of social network users. - Yezheng Liu 001; Jiajia Wang; Yuan-Chun Jiang (Neurocomputing, 2016)

A data-stream-based abnormal data mining in web texts environment. - Jin-Yun Wang; Yezheng Liu 001; Jinkun Wang (J. Comput. Methods Sci. Eng., 2016)

Mining Product Relationships for Recommendation Based on Cloud Service Data. - Yuanchun Jiang; Cuicui Ji; Yang Qian 001; Yezheng Liu 001 (Business Process Management Workshops, 2018)

A Bayesian Personalized Ranking Algorithm Based on Tag Preference. - Yuanchun Jiang; Manli Lv; Jianshan Sun; Yezheng Liu 001 (DSC, 2018)

An Evolution Model of Group Opinions Based on Social Judgment Theory (August 2018). - An Lu; Zhengping Ding; Yezheng Liu 001; Yaguang Guo; Yuanchun Jiang; Zhengguang Chen (IEEE Access, 2018)

Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives. - Yuanchun Jiang; Yezheng Liu 001; Jennifer Shang; Pinar Yildirim; Qingfu Zhang 001 (Eur. J. Oper. Res., 2018)

A crowdsourcing-based topic model for service matchmaking in Internet of Things. - Yezheng Liu 001; Fei Du; Jianshan Sun; Yuanchun Jiang; Jianmin He; Tingting Zhu 001; Chunhua Sun (Future Gener. Comput. Syst., 2018)

Online pricing with bundling and coupon discounts. - Yuanchun Jiang; Yezheng Liu 001; Hai Wang; Jennifer Shang; Shuai Ding 001 (Int. J. Prod. Res., 2018)

Identifying impact of intrinsic factors on topic preferences in online social media: A nonparametric hierarchical Bayesian approach. - Yezheng Liu 001; Jiajia Wang; Yuanchun Jiang; Jianshan Sun; Jennifer Shang (Inf. Sci., 2018)

A hybrid approach for article recommendation in research social networks. - Jianshan Sun; Yuanchun Jiang; Xusen Cheng; Wei Du 005; Yezheng Liu 001; Jian Ma 008 (J. Inf. Sci., 2018)

Collaborative matrix factorization mechanism for group recommendation in big data-based library systems. - Yezheng Liu 001; Lu Yang; Jianshan Sun; Yuanchun Jiang; Jinkun Wang (Libr. Hi Tech, 2018)

Group recommendation based on a bidirectional tensor factorization model. - Jinkun Wang; Yuanchun Jiang; Jianshan Sun; Yezheng Liu 001; Xiao Liu 004 (World Wide Web, 2018)

Purchase Prediction Based on a Non-parametric Bayesian Method. - Yezheng Liu 001; Tingting Zhu 001; Yuanchun Jiang (HICSS, 2019)

Understanding Patients' WOM of IT-Enabled Healthcare Service: A Case Study of Online Health Consultation. - Yezheng Liu 001; Xue Zhang; Jianshan Sun; Yuanchun Jiang; Zhiqiang Tian (HICSS, 2019)

The Impact of Herd Behavior on Purchase Behavior: The Moderating Role of Uncertainty. - Xiayu Chen; Yanrui Li; Robert M. Davison; Yezheng Liu 001 (PACIS, 2019)

An artificial neural network for mixed frequency data. - Qifa Xu; Xingxuan Zhuo; Cuixia Jiang; Yezheng Liu 001 (Expert Syst. Appl., 2019)

Cloud service recommendation based on unstructured textual information. - Yuanchun Jiang; Dandan Tao; Yezheng Liu 001; Jianshan Sun; Haifeng Ling (Future Gener. Comput. Syst., 2019)

Service matchmaking for Internet of Things based on probabilistic topic model. - Yezheng Liu 001; Tingting Zhu 001; Yuanchun Jiang; Xiao Liu 004 (Future Gener. Comput. Syst., 2019)

Impact of social commerce constructs and social support on social commerce intentions. - Zaryab Sheikh; Yezheng Liu 001; Tahir Islam; Zahid Hameed; Ikram Ullah Khan (Inf. Technol. People, 2019)

Identifying social roles using heterogeneous features in online social networks. - Yezheng Liu 001; Fei Du; Jianshan Sun; Thushari P. Silva; Yuanchun Jiang; Tingting Zhu 001 (J. Assoc. Inf. Sci. Technol., 2019)

Topic-based hierarchical Bayesian linear regression models for niche items recommendation. - Yezheng Liu 001; Qiang Xiong; Jianshan Sun; Yuanchun Jiang; Thushari P. Silva; Haifeng Ling (J. Inf. Sci., 2019)

How to maximize advertising performance in online social networks. - Yezheng Liu 001; Lingfei Li (J. Oper. Res. Soc., 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 001 (Knowl. Based Syst., 2019)

How Technology Support for Contextualization Affects Enterprise Social Media Use: A Media System Dependency Perspective. - Xiayu Chen; Shaobo Wei; Chunhua Sun; Yezheng Liu 001 (IEEE Trans. Prof. Commun., 2019)

Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems. - Jianshan Sun; Jian Song; Yuanchun Jiang; Yezheng Liu 001; Mingyue Zhu (AMCIS, 2020)

The Impacts of Content and Source Factors on Consumers' Liking Toward Advertisements: An HSM-Based Framework. - Xiumin Chu; Yezheng Liu 001; Xiayu Chen (ATCI, 2020)

Short Text Processing for Analyzing User Portraits: A Dynamic Combination. - Zhengping Ding; Chen Yan; Chunli Liu; Jianrui Ji; Yezheng Liu 001 (ICANN (2), 2020)

Understanding Uncertainty Reduction Mechanisms in Social Commerce. - Xiayu Chen; Jiawen Wang; Shaobo Wei; Jianshan Sun; Yezheng Liu 001 (PACIS, 2020)

A Coherent Two-Phased Perspective of Online Group Buying. - Yingxin Song; Xiayu Chen; Carol Ou; Yezheng Liu 001 (PACIS, 2020)

RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies. - Zhe Li; Chunhua Sun; Chunli Liu; Xiayu Chen; Meng Wang 001; Yezheng Liu 001 (CoRR, 2020)

TopicModel4J: A Java Package for Topic Models. - Yang Qian 001; Yuanchun Jiang; Yidong Chai; Yezheng Liu 001; Jianshan Sun (CoRR, 2020)

Segmenting market structure from multi-channel clickstream data: a novel generative model. - Yang Qian 001; Yuanchun Jiang; Yanan Du; Jianshan Sun; Yezheng Liu 001 (Electron. Commer. Res., 2020)

The impact of soft information extracted from descriptive text on crowdfunding performance. - Cuixia Jiang; Ranran Han; Qifa Xu; Yezheng Liu 001 (Electron. Commer. Res. Appl., 2020)

Using favorite data to analyze asymmetric competition: Machine learning models. - Yezheng Liu 001; Yang Qian 001; Yuanchun Jiang; Jennifer Shang (Eur. J. Oper. Res., 2020)

Targeted influence maximization under a multifactor-based information propagation model. - Lingfei Li; Yezheng Liu 001; Qing Zhou; Wei Yang; Jiahang Yuan (Inf. Sci., 2020)

iLDA: An interactive latent Dirichlet allocation model to improve topic quality. - Yezheng Liu 001; Fei Du; Jianshan Sun; Yuanchun Jiang (J. Inf. Sci., 2020)

Distributed representation learning via node2vec for implicit feedback recommendation. - Yezheng Liu 001; Zhiqiang Tian; Jianshan Sun; Yuanchun Jiang; Xue Zhang (Neural Comput. Appl., 2020)

A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns. - Qifa Xu; Liukai Wang; Cuixia Jiang; Yezheng Liu 001 (Neural Comput. Appl., 2020)

Generative Adversarial Active Learning for Unsupervised Outlier Detection. - Ye-Zheng Liu 001; Zhe Li; Chong Zhou; Yuanchun Jiang; Jianshan Sun; Meng Wang 001; Xiangnan He 001 (IEEE Trans. Knowl. Data Eng., 2020)

Detecting topic-level influencers in large-scale scientific networks. - Yang Qian 001; Yezheng Liu 001; Yuanchun Jiang; Xiao Liu 004 (World Wide Web, 2020)

Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature. - Ye-Zheng Liu 001; Jicheng Wang; Yang Qian 001; Yuanchun Jiang; Jianshan Sun; Yidong Chai (DSC, 2021)

Understanding the Role of Affordances in Promoting Social Commerce Engagement. - Xiayu Chen; Zhaoyang Liu; Shaobo Wei; Yezheng Liu 001 (Int. J. Electron. Commer., 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 001 (Int. J. Inf. Manag., 2021)

Hierarchical attention model for personalized tag recommendation. - Jianshan Sun; Mingyue Zhu; Yuanchun Jiang; Ye-Zheng Liu 001; Le Wu (J. Assoc. Inf. Sci. Technol., 2021)

Predicting personalized grouping and consumption: A collaborative evolution model. - Lu Yang; Ye-Zheng Liu 001; Yuanchun Jiang; Le Wu; Jianshan Sun (Knowl. Based Syst., 2021)

Explore and Interpret the Correlations Among VR Applications. - Yang Qian 001; Huahua Xu; Yuyang Wang 002; Ye-Zheng Liu 001; Yuanchun Jiang (ISMAR Adjunct, 2022)

Helpfulness Prediction for VR Application Reviews: Exploring Topic Signals for Causal Inference. - Meng Zhang; Yang Qian 001; Yuanchun Jiang; Yuyang Wang 002; Ye-Zheng Liu 001 (ISMAR Adjunct, 2022)

Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach. - Yang Qian 001; YingQiu Xiong; Yuyang Wang 002; Yuanchun Jiang; Yezheng Liu 001; Yidong Chai (VR Workshops, 2022)

What motivates consumer to engage in microblogs? The roles of brand post characteristics and brand prestige. - Xiumin Chu; Ye-Zheng Liu 001; Xiayu Chen; Zhengping Ding; Shouzheng Tao (Electron. Commer. Res., 2022)

Identifying and modeling the dynamic evolution of niche preferences. - Tingting Zhu 001; Ye-Zheng Liu 001; Qifeng Tang; Jianming He (Electron. Commer. Res. Appl., 2022)

Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization. - Jianshan Sun; Jian Song; Yuanchun Jiang; Yezheng Liu 001; Jun Li (Electron. Mark., 2022)

A survey of location-based social networks: problems, methods, and future research directions. - Xuemei Wei; Yang Qian 001; Chunhua Sun; Jianshan Sun; Yezheng Liu 001 (GeoInformatica, 2022)

Topic discovery from short reviews based on data enhancement. - Tingting Zhu 001; Ye-Zheng Liu 001; Jianshan Sun; Chunhua Sun (Intell. Data Anal., 2022)

Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis. - Ju Fan; Yuanchun Jiang; Yezheng Liu 001; Yonghang Zhou (Internet Res., 2022)

Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion. - Yang Qian 001; Wang Xu; Xiao Liu 004; Haifeng Ling; Yuanchun Jiang; Yidong Chai; Ye-Zheng Liu 001 (Inf. Process. Manag., 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 001; Hai Wang (Inf. Sci., 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 001; Yang Qian 001 (ACM Trans. Knowl. Discov. Data, 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 001; Yezheng Liu 001 (ACM Trans. Knowl. Discov. Data, 2022)

Exploiting Group Information for Personalized Recommendation with Graph Neural Networks. - Zhiqiang Tian; Yezheng Liu 001; Jianshan Sun; Yuanchun Jiang; Mingyue Zhu (ACM Trans. Inf. Syst., 2022)

Message from the General Chairs DSC 2023. - Xiaofang Zhou 001; Yezheng Liu 001 (DSC, 2023)

Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. - Ruicheng Liang; Yidong Chai; Weifeng Li 002; Michael Chau; Yuanchun Jiang; Yezheng Liu 001 (PACIS, 2023)

VR/AR/MR in the Electricity Industry: Concepts, Techniques, and Applications. - Jiakai Xiao; Yang Qian 001; Wei Du 005; Yuyang Wang 002; Yuanchun Jiang; Ye-Zheng Liu 001 (VR Workshops, 2023)

A novel label-based multimodal topic model for social media analysis. - Hao Li; Yang Qian 001; Yuanchun Jiang; Ye-Zheng Liu 001; Fan Zhou (Decis. Support Syst., 2023)

Health IT in our daily life: impact of mobile phone use on the emotions and compliance of diabetes patients. - Xue Zhang; Yezheng Liu 001; Xin Li 004; Jianshan Sun (Inf. Technol. People, 2023)

MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction. - Chunli Liu; Liu Yang; Weibo Gao; Yang Li 198; Yezheng Liu 001 (Electron. Commer. Res. Appl., 2023)

Learning personalized preference: A segmentation strategy under consumer sparse data. - Tingting Zhu 001; Yezheng Liu 001 (Expert Syst. Appl., 2023)

Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks. - Xuemei Wei; Ye-Zheng Liu 001; Jianshan Sun; Yuanchun Jiang; Qifeng Tang; Kun Yuan (ACM Trans. Knowl. Discov. Data, 2023)

Why some products compete and others don't: A competitive attribution model from customer perspective. - Yang Qian 001; Yuanchun Jiang; Jennifer Shang; Yidong Chai; Ye-Zheng Liu 001 (Decis. Support Syst., 2023)

Next location recommendation: a multi-context features integration perspective. - Xuemei Wei; Chunli Liu; Ye-Zheng Liu 001; Yang Li 198; Kai Zhang (World Wide Web (WWW), 2023)

What social characteristics enhance recommender systems? The effects of network embeddedness and preference heterogeneity. - Feifei He; Chunhua Sun; Ye-Zheng Liu 001 (Electron. Commer. Res., 2023)

A deep interpretable representation learning method for speech emotion recognition. - Erkang Jing; Yezheng Liu 001; Yidong Chai; Jianshan Sun; Sagar Samtani; Yuanchun Jiang; Yang Qian 001 (Inf. Process. Manag., 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 001; Ye-Zheng Liu 001; Yuanchun Jiang (IEEE Trans. Knowl. Data Eng., 2023)

Enhancing Adversarial Robustness: A Novel Bayesian Uncertainty-Based Ensemble Learning Method. - Yidong Chai; Yi Liu; Mohammadreza Ebrahimi 001; Weifeng Li 002; Balaji Padmanabhan; Yuanchun Jiang; Yezheng Liu 001 (DSC, 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 001; Chunhua Sun (Comput. Secur., 2024)

Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. - Erkang Jing; Yezheng Liu 001; Yidong Chai; Shuo Yu 002; Longshun Liu; Yuanchun Jiang; Yang Wang 023 (CoRR, 2024)

A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning. - Anqi Zhou; Yezheng Liu 001; Yidong Chai; Hongyi Zhu; Xinyue Ge; Yuanchun Jiang; Meng Wang 001 (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 001 (CoRR, 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 001 (CoRR, 2024)

Review-based recommendation under preference uncertainty: An asymmetric deep learning framework. - YingQiu Xiong; Yezheng Liu 001; Yang Qian 001; Yuanchun Jiang; Yidong Chai; Haifeng Ling (Eur. J. Oper. Res., 2024)

A Bayesian deep recommender system for uncertainty-aware online physician recommendation. - Fulai Cui; Shuo Yu 002; Yidong Chai; Yang Qian 001; Yuanchun Jiang; Yezheng Liu 001; Xiao Liu 004; Jianxin Li (Inf. Manag., 2024)

Why a user prefers an artwork: A deep attention model for artwork recommendation. - Zhiqiang Tian; Yezheng Liu 001; Jianshan Sun; Xue Zhang; Yuanchun Jiang (J. Inf. Sci., 2024)

Facial expression-enhanced recommendation for virtual fitting rooms. - Ying Xue; Jianshan Sun; Yezheng Liu 001; Xin Li 004; Kun Yuan (Decis. Support Syst., 2024)

Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. - Fan Zhou; Yuanchun Jiang; Yang Qian 001; Yezheng Liu 001; Yidong Chai (Decis. Support Syst., 2024)

Understanding information sensitivity perceptions and its impact on information privacy concerns in e-commerce services: Insights from China. - Shouzheng Tao; Yezheng Liu 001; Chunhua Sun (Comput. Secur., 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 001 (Electron. Mark., 2024)

The coherent two-phased process from sold online to redemption offline on an online daily-deal platform. - Yingxin Song; Yezheng Liu 001; Xiayu Chen; Muhammet Deveci; Carol Xiaojuan Ou; Lingfei Li; Weizhong Wang (Electron. Commer. Res. Appl., 2025)

LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model. - Hongfei Ge; Yuanchun Jiang; Jianshan Sun; Kun Yuan; Yezheng Liu 001 (ACM Trans. Inf. Syst., 2025)

Locally Differentially Private Frequency Estimation via Joint Randomized Response. - Ye-Zheng Liu 001; Shafizur Rahman Seeam; Yidan Hu; Rui Zhang; Yanchao Zhang (CoRR, 2025)

An eye-tracking study on the role of attractiveness on consumers' purchase intentions in e-commerce live streaming. - Man Ji; Yezheng Liu 001; Xiayu Chen (Electron. Commer. Res., 2025)

Learning consumer preferences through textual and visual data: a multi-modal approach. - Xinyu Liu; Yezheng Liu 001; Yang Qian 001; Yuanchun Jiang; Haifeng Ling (Electron. Commer. Res., 2025)

Order Matters: The Effect of "AR-First" or "AR-Later" on Consumer Decision-Making. - Chunhua Sun; Dongmei Wang; Ye-Zheng Liu 001 (Int. J. Hum. Comput. Interact., 2025)

Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. - Erkang Jing; Yezheng Liu 001; Yidong Chai; Shuo Yu 002; Longshun Liu; Yuanchun Jiang; Yang Wang 023 (ACM Trans. Inf. Syst., 2025)