李成

助理教授

电子邮箱:lich537@mail.sysu.edu.cn

研究领域:旅游需求建模与预测、推荐系统设计、旅游移动性、大数据分析

个人简介

李成,中山大学管理学院助理教授,厦门大学管理学博士。研究聚焦于利用运筹学、人工智能等前沿方法来解决旅游与酒店管理领域的实际问题,具体方向包括旅游需求预测、旅游推荐系统设计、旅游移动性以及大数据分析等。学术成果发表于Annals of Tourism Research,International Journal of Hospitality Management,Information & Management等旅游/酒店管理领域和信息系统领域的权威期刊。担任Tourism Review,Information Technology & Tourism,Current Issue in Tourism等学术期刊的匿名审稿人。

教育背景

2025年 厦门大学 管理学博士

2021年 四川大学 工程硕士

2017年 南京农业大学 工学学士

科研服务

Tourism Review,Information Technology & Tourism,Current Issue in Tourism等学术期刊的匿名审稿人

研究成果:

1. Cheng Li, Peng Ge*, Zhusheng Liu, Weimin Zheng. (2020). Forecasting tourist arrivals using denoising and potential factors. Annals of Tourism Research. 83, 102943.

2. Cheng Li, Weimin Zheng*, Peng Ge. (2022). Tourism demand forecasting with spatiotemporal features. Annals of Tourism Research. 94, 103384.

3. Liyao Huang, Cheng Li, WeiminZheng*. (2023). Daily hotel demand forecasting with spatiotemporal features. International Journal of Contemporary Hospitality Management. 35, 26-45.

4.Cheng Li, Weimin Zheng*, Xinyi Zhuang, Fan Chen. (2023). Intelligent transport design with a dual focus: Experiential and economic tourist attraction. Annal of Tourism Research. 101, 103597.

5.Weimin Zheng, Jianqiang Li, Cheng Li*. (2024). Tourism demand forecasting using complex network theory. Asia Pacific Journal of Tourism Research. 29(3), 302-320.

6. Jiaying Chen, Cheng Li, Liyao Huang*, Weimin Zheng. (2025) Tourism demand forecasting: a deep learning model based on spatial-temporal transformer. Tourism Review. 80(3): 648-663.

7. Weimin Zheng, Cheng Li*, Zuohua Deng. (2024). Hotel demand forecasting with multi-scale spatiotemporal features.International Journal of Hospitality Management. 123, 103895.

8. Cheng Li, Weimin Zheng*. (2025) Nipping trouble in the bud: A proactive tourism recommender system.Information & Management.62(1): 104062.

9.Weimin Zheng, Xin Guo, Shengnan Gao, Cheng Li*. (2025). A Systematic Review of Operations Research in Tourism.International Journal of Tourism Research. 27(3): e70029.