Academic/Professional Qualifications 

Bachelor Degree, School of Economics and Management, Tongji University, China. 2005-2009.

Ph.D. in Management，School of Economics and Management, Tongji University, China. 2009-2015.

Visiting Scholar, The McCombs School of Business, The University of Texas at Austin, USA. 2012-2013.

Career History

2015.09 -- present, Teacher in the Business School，University of Shanghai for Science and Technology

Scientific Research projects

Projects (in charge):

[1] Natural Science Foundation of China (NSFC) project, User Recommendation for Social Media Based on Sentiment Analysis of Online Reviews. 

[2] Humanities and Social Science Foundation of Ministry of Education, Research on Trusted Recommendation Methods in Perspectives of Interpretability and Fairness.

[3] Humanities and Social Science Foundation of Ministry of Education, Product Feature-Oriented Customer Opinion Mining in Online Reviews: in the Perspective of Fine-Grained Sentiment Analysis.

[4] “Chenguang Program” supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission, User Recommendation in Social Network Based on Sentiment Analysis.

[5] Shanghai Philosophy and Social Science Planning Project, Research on Fair Recommendation Strategies for Multiple Stakeholders from the Perspective of Algorithm Governance. 

[6] Key Lab of Information Network Security, Ministry of Public Security, Research on Online Investment Platform Fraud Based on Multi-source and Multi-modal Data Fusion.

[7] Training of Young Teachers in Colleges and Universities in Shanghai, Opinion Mining of Online Reviews Based on Fine Grained Sentiment Analysis.

[8] Shanghai Science and Technology Development Foundation for Soft Science Research Grant, Product Design Decisions Based on User Reviews: by Means of Sentiment Analysis.

Papers in Recent Three Years:

[1]Pei Yin, Junjie Song, et al. A Cognitive Few-Shot Learning Approach for Medical Diagnosis: A Case Study on Cleft Lip and Palate and Parkinson's Disease. Expert Systems with Applications. Forthcoming. (SCI TOP，CCF list，IF=8.665)

[2]Pei Yin, Farshid Sardari. Process arrangement and multi-criteria study/optimization of a novel hybrid solar-geothermal scheme combined with a compressed air energy storage: Application of different MOPSO-based scenarios. Energy, 2023, 282: 128651. (SCI TOP，IF=9)

[3]Pei Yin, Han Yan, Xuchen Fang, Wangwei Zhu. Integrating Utility and Interest to Recommend Healthcare Interventions for Online Users. Neural Computing and Applications. forthcoming. (SCI，CCF，IF=6)

[4]Pei Yin, Jun Zhao, Zi-jie Ma, Xiao Tan. Sequential recommendation based on multipair contrastive learning with informative augmentation. Neural Computing and Applications. 2023. (SCI，CCF list，IF=6)

[5]Pei Yin, Ya Chen, Huan Wang, Ye Zhou. Analysis of the impact of image cues on crowdfunding project financing performance and the moderating effect of project type. Journal of University of Shanghai for Science and Technology. 2023. 45（5）:503-512.

[6]Pei Yin, Dandan Ji, Han Yan, Hongcheng Gan and Jinxian Zhang. Multimodal Deep Collaborative Filtering Recommendation Based on Dual Attention. Neural Computing and Applications. 2022, 35 (12) , pp.8693-8706.(SCI，CCF list, IF=6.0)

[7]Yin P, Zhang J, Yan H, Zhao J, Wang J and Liang C. Privacy Risk Perception of Online Medical Community Users Based on Deep Neural Network. Front. Psychol. 2022, 13:914164. (SSCI)

[8]Yuanqin Wu，Pei Yin*，Hongcheng Gan. Crowdfunding Project Recommendation: a Deep Learning Collaborative Filtering Approach for Implicit Feedback. Journal of Chinese Computer Systems. 2021，42(2):326-333.

[9]Xicheng Yin, Hongwei Wang, Pei Yin, Hengmin Zhu, Zhenyu Zhang. A co-occurrence based approach of automatic keyword expansion using mass diffusion. Scientometrics. 2020, 124(3): 1885-1905. (SSCI/SCI)

[10]Xicheng Yin, Hongwei Wang, Pei Yin, Hengmin Zhu. Agent-based opinion formation modeling in social network: A perspective of social psychology. Physica A: Statistical Mechanics and its Applications. 2019, 532: 121786. (SCI)

[11]Song Gao, Ou Tang, Hongwei Wang, Pei Yin. Identifying competitors through comparative relation mining of online reviews in the restaurant industry. International Journal of Hospitality Management, 2018, 71: 19~32. (SSCI TOP, IF=11.7)

[12]Hongbo Guan, Chaoyang Hao, Yapeng Hong, and Pei Yin*. A Prior Error Estimate for Linear Finite Element Approximation to Interface Optimal Control Problems. IAENG International Journal of Applied Mathematics, 2020, 50 (1): 96-101. (EI)

Conference Papers in Recent Three Years:

[1]Han Yan，Pei Yin，Wangwei Zhu, An Empirical Study on the Influence of Physicians' Free Knowledge Contribution Behaviors on Patients' Inquiry Decisions in Online Healthcare Communities, CNAIS 2023, Oct. 20-22, Hangzhou, China.

[2]Jing Wang，Pei Yin, Xiao Tan, Crowdsourcing task recommendation based on adversarial network: considering the interaction of users’ interest and ability, CNAIS 2023, Oct. 20-22, Hangzhou, China.

[3]Pei Yin, Jun Zhao, Xinle Deng. Information-Augmented Multi-Pair Comparative Learning Recommendation Model. The 7th China Conference on Systems Science. May. 20-21, 2023, Chongqing, China.

[4]Pei Yin, Ya Chen, Hongcheng Gan. Analysis of the impact of picture cues on crowdfunding project financing success and the moderating effect of project type. in proceedings of The Twenty-first Wuhan International Conference On E-Business (WHICEB 2022), 2022, May 28th-29th, online.

[5]Pei Yin, Dandan Ji, Hongcheng Gan. Multimodal Deep Collaborative Filtering Recommendation of Crowdfunding Project Based on Dual Attention. in proceedings of The Twenty-first Wuhan International Conference On E-Business (WHICEB 2022), 2022, May 28th-29th, online.

[6]Pei Yin, Jun Zhang, Hongcheng Gan, Research on Healthcare Intervention Recommendation Strategies in Online Health Communities Integrating Users’ Utility and Interest, CNAIS 2022, Dec. 3-5, Online.

[7]Dandan Ji, Pei Yin, Hongcheng Gan. Multimodal Deep Collaborative Filtering Based on Dual Attention. MSI 2022, Apr. 16-17, online.

Information Management and Data Mining (Postgraduate)

Information System Engineering (Postgraduate)

Machine Learning (Postgraduate)

Artificial Intelligence Fundamentals (Undergraduate)

Artificial Intelligence Experiment (Undergraduate)

Natural Language Processing (Undergraduate)

Natural Language Processing Experiment (Undergraduate)

Database Fundamentals (Undergraduate)

Database Building Experiment (Undergraduate)

System Simulation (Undergraduate)

E-Commerce (Undergraduate)

Member of the Shanghai Informatics Association

Serve as an expert reviewer for the 'Data Security Audit and Supervision Platform.' in Nov. 2023.

PACIS 2018, “Service Science, Service Design, and User Experience” , Track Chair.

2017.05, Chenguang Scholar, Shanghai Municipal Education Commission