教育背景

博士, 管理科学与工程, 同济大学，2016-2020

学术经历

2024-至今，beat365中国官方网站，副研究员

2021-2024，beat365中国官方网站，博士后

科研项目

1.2022.06-2025.05，主持，国家社会科学基金青年项目，22CGL050，疫情散发背景下群体负向信息行为涌现机理与引导策略研究.

2.2021.06-2023.12，主持，中国博士后科学基金面上项目，2021M69235，突发公共卫生事件中网络用户负向信息行为的生成机理和引导策略研究.

3.2021.07-2021.12，主持，上海市人民政府发展研究中心决策咨询基地项目，1F-21-303-006上海深度老龄化社区智慧养老对策研究.

期刊论文

1.Zhou Lixin, Zhang Z, Zhao L, et al. Understanding the effects of personality traits on the quality of individual ideas on open innovation platforms: a mediated empirical investigation[J]. Aslib Journal of Information Management, 2024. forthcoming.

2.Liu C, Cao T, Zhou Lixin*, et al. Missing nodes detection on graphs with self-supervised contrastive learning[J]. Engineering Applications of Artificial Intelligence, 2024, 132: 107811.

3.Lu Z, Gao J, Hao J K, Yang PL, Zhou Lixin. Learning driven three-phase search for the maximum independent union of cliques problem[J]. Computers & Operations Research, 2024, 164: 106549.

4.Zhou Lixin, Zhang Z, Zhao L, et al. Microblog sentiment analysis based on deep memory network with structural attention[J]. Complex & Intelligent Systems, 2023, 9(3): 3071-3083. 

5.Zhou Lixin, Tang L. Personality traits and user innovation engagement in open innovation platform: the moderating role of social network position[J]. Behaviour & Information Technology, 2023, 42(14): 2428-2441. 

6.Zhou Lixin, Zhou K, Liu C. Stance detection of user reviews on social network with integrated structural information[J]. Journal of Intelligent & Fuzzy Systems, 2023, 44(2): 1703-1714.

7.Zhou Lixin, Tang L, Zhang Z. Extracting and ranking product features in consumer reviews based on evidence theory[J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14(8): 9973-9983.

8.Zhang Z, Zhang H, Zhou Lixin*, et al. Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic[J]. Expert Systems with Applications, 2023, 216: 119445.

9.Zhou Lixin, Zhenyu, Zhao Laijun, et al. Attention-based BiLSTM models for personality recognition from user-generated content[J]. Information Sciences, 2022, 596: 460-471.

10.Liu Chen, Cao Tingting, Zhou Lixin*. Learning to rank complex network node based on the self-supervised graph convolution model[J]. Knowledge-Based Systems, 2022: 109220. 

11.Lin Jie, Wang Chao, Zhou Lixin, et al. Converting consumer-generated content into an innovation resource: A user ideas processing framework in online user innovation communities[J]. Technological Forecasting and Social Change, 2022, 174: 121266.