A Novel Approach for Personalized Article Recommendation in Online Scientific Communities. - Jianshan Sun; Jian Ma 008; Xiaoyan Liu; Zhiying Liu; Gang Wang 003; Hongbing Jiang; Thushari P. Silva (HICSS, 2013)

Finding an expert: a model recommendation system. - Jianshan Sun; Jian Ma 008; Xusen Cheng; Zhiying Liu; Xiongfei Cao (ICIS, 2013)

Easy Collaboration Process Support System Design for Student Collaborative Group Work: A Case Study. - Xusen Cheng; Yuanyuan Li; Jianshan Sun; Xiaodong Zhu (HICSS, 2014)

A Weighted Topic Model Enhanced Approach for complementary Collaborator Recommendation. - Chen Yang 008; Jian Ma 008; Jianshan Sun; Thushari P. Silva; Xiaoyan Liu; Zhongsheng Hua (PACIS, 2014)

Online Social Network as a Powerful Tool to Identify Experts for Emergency Management. - Wei Du 005; Wei Xu 008; Jianshan Sun; Jian Ma 008 (WAIM Workshops, 2014)

Leveraging Content and Connections for Scientific Article Recommendation in Social Computing Contexts. - Jianshan Sun; Jian Ma 008; Zhiying Liu; Yajun Miao (Comput. J., 2014)

Sentiment classification: The contribution of ensemble learning. - Gang Wang 003; Jianshan Sun; Jian Ma 008; Kaiquan Xu; Jibao Gu (Decis. Support Syst., 2014)

Scientific Collaborator Recommendation in Heterogeneous Bibliographic Networks. - Chen Yang 008; Jianshan Sun; Jian Ma 008; Shanshan Zhang; Gang Wang 003; Zhongsheng Hua (HICSS, 2015)

A robust optimization solution to bottleneck generalized assignment problem under uncertainty. - Yelin Fu; Jianshan Sun; K. K. Lai; John W. K. Leung (Ann. Oper. Res., 2015)

Mining affective text to improve social media item recommendation. - Jianshan Sun; Gang Wang 003; Xusen Cheng; Yelin Fu (Inf. Process. Manag., 2015)

POS-RS: A Random Subspace method for sentiment classification based on part-of-speech analysis. - Gang Wang 003; Zhu (Drew) Zhang; Jianshan Sun; Shanlin Yang; Catherine A. Larson (Inf. Process. Manag., 2015)

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)

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)

A Personality Matching-Aided Approach for Supervisor Recommendation (Research-in-Progress). - Mingyu Zhang; Jianshan Sun; Jian Ma 008; Tailai Wu; Zhiying Liu (HICSS, 2016)

Impulsive Purchase behaviour in Social Commerce: the Role of Social Influence. - Xi Hu; Hong Zhang; Jianshan Sun; Li Xiang; Jiuchang Wei; Robert M. Davison (PACIS, 2016)

Understanding researchers' Meta-Knowledge Contribution Behavior in Research Social Network: a Social Capital Perspective. - Yunhong Xu; Jianshan Sun; Gang Wang 003; Shanshan Wang; Jian Ma 008 (PACIS, 2016)

Application of a novel collaboration engineering method for learning design: A case study. - Xusen Cheng; Yuanyuan Li; Jianshan Sun; Jianqing Huang (Br. J. Educ. Technol., 2016)

A research analytics framework-supported recommendation approach for supervisor selection. - Mingyu Zhang; Jian Ma 008; Zhiying Liu; Jianshan Sun; Thushari P. Silva (Br. J. Educ. Technol., 2016)

Investigating individual trust in semi-virtual collaboration of multicultural and unicultural teams. - Xusen Cheng; Shixuan Fu; Jianshan Sun; Yajing Han; Jia Shen; Alex Zarifis (Comput. Hum. Behav., 2016)

A personalized information recommendation system for R&D project opportunity finding in big data contexts. - Wei Xu 008; Jianshan Sun; Jian Ma 008; Wei Du 005 (J. Netw. Comput. Appl., 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). - Jinkun Wang; Yuanchun Jiang; Jianshan Sun; Chunhua Sun (计算机科学, 2016)

Individual Trust Development in Business Virtual Teams: An Experimental Study. - Xusen Cheng; Tingting Hou; Shixuan Fu; Jianshan Sun (HICSS, 2017)

Introduction to Decision Support for Smart City and Digital Services Minitrack. - Wei Xu 008; Jian Ma 008; Jianshan Sun (HICSS, 2017)

Establishing interoperability among knowledge organization systems for research management: a social network approach. - Wei Du 005; Xusen Cheng; Chen Yang 008; Jianshan Sun; Jian Ma 008 (Scientometrics, 2017)

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

Operational Mechanism of Digital Humanistic Crowdsourcing Project Based on Actor Network Theory. - Xiaojuan Xu; Hui Gao; Jianshan Sun; Cuicui Wang; Wei Xu (HICSS, 2018)

Leveraging User Personality and Tag Information for One Class Collaborative Filtering. - Jianshan Sun; Deyuan Ren; Dong Xu (PCM (1), 2018)

Deep learning-based personality recognition from text posts of online social networks. - Di Xue; Lifa Wu; Zheng Hong; Shize Guo; Liang Gao 008; Zhiyong Wu 007; Xiaofeng Zhong; Jianshan Sun (Appl. Intell., 2018)

Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective. - Xiongfei Cao; Jianshan Sun (Comput. Hum. Behav., 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)

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)

Sampling Adaptive Learning Algorithm for Mobile Blind Source Separation. - Jingwen Huang; Jianshan Sun (Wirel. Commun. Mob. Comput., 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)

The Impact of Personality on User-Generated Content in Online Social Networks. - Jianshan Sun; Yajue Liu; Chunhua Sun; Chunli Liu (DSC, 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)

Introduction to the Minitrack on Decision Support for Smart Cities. - Wei Xu 008; Jian Ma 008; Jianshan Sun (HICSS, 2019)

A data-driven approach for extracting and analyzing collaboration patterns at the interagent and intergroup levels in business process. - Shanshan Wang; Kun Chen 001; Zhiyong Liu; Ren-Yong Guo 001; Jianshan Sun; Qiongjie Dai (Electron. Commer. Res., 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)

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)

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

Exploring Trust in Online Ride-sharing Platform in China: A Perspective of Time and Location. - Xiangsong Meng; Xusen Cheng; Shixuan Fu; Jianshan Sun (HICSS, 2020)

Introduction to the Minitrack on Decision Support for Smart Cities. - Jianshan Sun; Jian Ma; Wei Xu (HICSS, 2020)

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

IEEE Access Special Section Editorial: Artificial Intelligence and Cognitive Computing for Communication and Network. - Yin Zhang 002; Giancarlo Fortino; Limei Peng; Iztok Humar; Jianshan Sun (IEEE Access, 2020)

Artificial intelligence and deep learning in educational technology research and practice. - Xusen Cheng; Jianshan Sun; Alex Zarifis (Br. J. Educ. Technol., 2020)

Leveraging personality information to improve community recommendation in e-learning platforms. - Jianshan Sun; Jie Geng; Xusen Cheng; Mingyue Zhu; Qiyu Xu; Yunli Liu (Br. J. Educ. Technol., 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)

Leveraging friend and group information to improve social recommender system. - Jianshan Sun; Rongrong Ying; Yuanchun Jiang; Jianmin He; Zhengping Ding (Electron. Commer. Res., 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)

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)

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)

Introduction to the Minitrack on Decision Support for Smart City. - Wei Xu; Jian Ma; Jianshan Sun (HICSS, 2021)

Digital twins in human understanding: a deep learning-based method to recognize personality traits. - Jianshan Sun; Zhiqiang Tian; Yelin Fu; Jie Geng; Chunli Liu (Int. J. Comput. Integr. Manuf., 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)

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)

Guest editorial: Interpretable AI-enabled online behavior analytics. - Wei Xu 008; Jianshan Sun; Mengxiang Li (Internet Res., 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)

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)

An Image Emotion Classification Method Based on Supervised Contrastive Learning. - Qing Zhang; Jianshan Sun; Kun Yuan; Yuanchun Jiang (DSC, 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)

Trust in Online Ride-Sharing Transactions: Impacts of Heterogeneous Order Features. - Xusen Cheng; Shixuan Fu; Jianshan Sun; Meiyun Zuo; Xiangsong Meng (J. Manag. Inf. Syst., 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)

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)

Understanding the Role of Virtual Anchor-Brand Image Fit in Virtual Live Streaming. - Man Ji; Xiayu Chen; Shaobo Wei; Qi Liu; Jianshan Sun (HICSS, 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)

Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks. - Jiawei Miao; Haicheng Tao; Haoran Xie 001; Jianshan Sun; Jie Cao 001 (Inf. Process. Manag., 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)

A supervised contrastive learning-based model for image emotion classification. - Jianshan Sun; Qing Zhang; Kun Yuan; Yuanchun Jiang; Xinran Chen (World Wide Web (WWW), 2024)

Rumor Localization, Detection and Prediction in Social Network. - Yinan Jiang; Ranran Wang 001; Jianshan Sun; Yashen Wang; Haofang You; Yin Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2024)

Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation. - Jianshan Sun; Suyuan Mei; Kun Yuan; Yuanchun Jiang; Jie Cao 001 (ACM Trans. Knowl. Discov. Data, 2024)

Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer. - Chongming Gao; Kexin Huang; Ziang Fei; Jiaju Chen; Jiawei Chen 007; Jianshan Sun; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (CoRR, 2025)

Combining macro and micro: feature-driven dynamic graph learning for social media popularity prediction. - Yashen Wang; Dongyang Li; Jianshan Sun; Yuan Kun; Yinan Jiang; Yin Zhang; Jie Cao (World Wide Web (WWW), 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)

Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation. - Dongyang Li; Jianshan Sun; Chongming Gao; Fuli Feng; Kun Yuan (ACM Trans. Inf. Syst., 2025)