洪明（Ming Hong）

● 助理教授（Assistant Professor）

● 办公室：B10南座403-3

● 邮箱：ming@scut.edu.cn

管理学博士，华南理工大学电子商务系助理教授。

主持省部级项目1项，参与国家社科基金、广东省社科基金、广东省自然科学基金、企事业委托研究项目等多项。

主要关注数据挖掘技术及其在数字商务领域的应用。在Information Processing & Management、Electronic Commerce Research and Applications、Mathematics and Computers in Simulation、Applied Soft Computing、Knowledge and Information Systems等发表论文。

数据挖掘，文本挖掘，商务智能，推荐系统

Data Mining, Text Mining, Business Intelligence, Recommender System

2017.09~2020.08 华南理工大学 博士

2014.09~2017.06 华南理工大学 硕士

2010.09~2014.06 华南理工大学 学士

2017.09~2020.08 South China University of Technology, PhD

2014.09~2017.06 South China University of Technology, MSc.

2010.09~2014.06 South China University of Technology, BSc

2024.01~ 华南理工大学 电子商务系 助理教授

2020.11~2023.11 华南理工大学 电子商务系 博士后

2024.01~ South China University of Technology, Department of Electronic Business, assistant professor

2020.11~2023.11 South China University of Technology, Department of Electronic Business, postdoctor

[1] 王和勇, 洪明. 人工智能发展的趋势性特征及对策研究[M]. 广州: 华南理工大学出版社, 2023.

[1] Hong M, Wang H Y. Research on customer opinion summarization using topic mining and deep neural network[J]. Mathematics and Computers in Simulation, 2021, 185: 88-114.

[2] Wang H Y, Gu L, Hong M*. The Development Status of the Manufacturing Industry and the Impact of Digital Characteristics from the Perspective of Innovation[J]. Sustainability, 2024, 16(3): 1009.

[3] 肖炯恩, 洪明*, 丁丽萍. 数据驱动的区块链框架下政府部门间信息共享（英文）[J]. 控制理论与应用, 2023.

[4] Wang H Y, Hong M. Supervised Hebb rule based feature selection for text classification[J]. Information Processing & Management, 2019, 56(1): 167-191.

[5] Wang H Y, Hong M. Online ad effectiveness evaluation with a two-stage method using a Gaussian filter and decision tree approach[J]. Electronic Commerce Research and Applications, 2019, 35: 1-11.

[6] Wang H Y, Hong M, Lau R Y K. Utility-based feature selection for text classification[J]. Knowledge and Information Systems, 2019, 61(1): 197-226.

[7] Wang H Y, Hong M, Lan J J. Study on collaborative filtering recommendation model fusing user reviews[J]. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2019, 23(5): 864-873.

[8] Wang H Y, Hong Z Q, Hong M. Research on product recommendation based on matrix factorization models fusing user reviews[J]. Applied Soft Computing, 2022, 123: 1-12.

[1] 人工智能产业的技术协同创新研究，广东省哲学社科青年项目，2022~2024，主持，在研

担任Business Process Management Journal、Journal of Retailing and Consumer Services、Expert Systems With Applications等期刊审稿人。