2024/7-至今，华南师范大学，信息管理系，副教授
2020/6-2024/6，华南师范大学，信息管理系，特聘副研究员
2020/6-2023/5，华南师范大学，应用经济学，博士后
2020/2-2020/5，香港城市大学，信息系统系，研究助理

1. 《面向在线开放课程的捆绑推荐方法研究》，国家自然科学基金青年项目，2024-2026
2. 《基于用户意图识别和学习路径规划的在线开放课程捆绑推荐方法研究》，广东省自然科学基金面上项目，2024-2026
3. 《面向线上患者的智能辅助诊断与个性化医生推荐方法研究》，广州市科技计划项目，2024-2025
4. 《基于知识图谱的可解释在线课程推荐方法研究》，广东省自然科学基金面上项目，2022-2024
5. 《基于知识图谱的科研兴趣群组推荐方法研究》，中国博士后科学基金面上项目，2020-2022

1. 《评议人辅助指派优化与智能指派研究》，国家自然科学基金项目，2018
2. 《基于科研知识图谱技术的评议人指派方法研究》，国家自然科学基金项目，2017

1. Liu, Z., Zhang, Y., Deng, W.*, Ma, J., & Fan, X. (2024). A deep learning method for recommending university patents to industrial clusters by common technological needs mining. Scientometrics, 129, 3089–3113.
2. Deng, W., Zhu, P., Chen, H., Yuan, T., & Wu, J. (2023). Knowledge-aware sequence modelling with deep learning for online course recommendation. Information Processing & Management, 60(4), 103377.
3. Deng, W., Du, W., & Han, C. (2023). Incorporating heterogeneous information in deep learning with informative meta-paths for community recommendations. Journal of Information Science, 49(5), 1309-1324.
4. Yuan, H., & Deng, W.* (2022). Doctor recommendation on healthcare consultation platforms: an integrated framework of knowledge graph and deep learning. Internet Research, 32(2), 454-476.
5. Deng, W.*, & Ma, J. (2022). A knowledge graph approach for recommending patents to companies. Electronic Commerce Research, 22(4), 1435-1466.
6. Deng, W.* (2022). Leveraging consumer behaviors for product recommendation: an approach based on heterogeneous network. Electronic Commerce Research, 22(4), 1079-1105.

1. Liu, Z., Deng, W.*, Chen, H., & Ma, J. (2023, October). Meet the technological needs of industrial clusters with privacy concerns: A patent recommendation method based on federated learning. In 23rd International Conference on Electronic Business (ICEB 2023): AI and Precision Analytics in Financial and Medical Services (pp. 436-444).
2. Liu, Z., Deng, W.*, Zhu, P., Du, W., & Ma, J. (2023). A Dual-view Attention Neural Network for Assigning Industrial Categories to Academic Patents. In 2023 Pacific Asia Conference on Information Systems (PACIS 2023): Navigating Digital Turbulence and Seizing New Possibilities (p. 73).
3. Deng, W., Huang, X., Yuan, H., Ma, J., & Wang, G. (2020, June). Analysis of topics, theories, and methods of information systems research in the past two decades: A knowledge graph approach. In 24th Pacific Asia Conference on Information Systems (PACIS 2020) (p. 3). Association for Information Systems.
4. Deng, W., Huang, X., & Zhu, P. (2019, January). Facilitating Technology Transfer by Patent Knowledge Graph. In 52nd Hawaii International Conference on System Sciences (HICSS 52) (pp. 1256-1264). HICSS.
5. Deng, W., Zhu, P., & Ma, J. (2018, June). Enhancing Group Recommendation by Knowledge Graph. In 22nd Pacific Asia Conference on Information Systems (PACIS 2018) (p. 214).
6. Deng, W., & Ma, J. (2017, December). Leveraging Heterogeneous Information Network for Community Recommendation. In 38th International Conference on Information Systems (ICIS 2017): Transforming Society with Digital Innovation (pp. 3979-3989). Association for Information Systems.

1. 《基于知识图谱的数字化智慧课程建设与应用——以商务分析方法与工具课程为例》，广东省本科高校教学质量与教学改革工程项目，负责人，2024-2026
2. 《思想引领与知识体系的有机融合——信息管理学课程思政教学改革研究》，广东省本科高校教学质量与教学改革工程项目，第二参与人，2022-2024