Liyao Huang (Assistant Professor)

Office： 4F, Building N

Tel.： 8590-2532

E-mail： lyhuang@cityu.edu.mo

Academic Qualification:

DBA, Xiamen University

Working Experience

From 2024/8 to Present City University of Macau, Faculty of International Tourism and Management, ,

Assistant Professor

Teaching Area

Hotel Conference Management

Management of Leisure and Entertainment Tourism

Research Area

Demand Modeling and Forecasting

Tourism Mobility

Tourism Consumer Behavior Research

Data Mining and Analytics

Professional Society Membership

Journal Reviewer:

Current Issues in Tourism (SSCI)

Tourism Review (SSCI)

Tourism Management Perspectives (SSCI)

Academic Publication

Journal Paper

Weimin Zheng, Liyao Huang*, Zhibin Lin. Multi-attraction, hourly tourism demand forecasting. Annals of Tourism Research. 2021, 90, 103271. (Corresponding author, SSCI, JCR Q1, ABS 4)
Liyao Huang, Weimin Zheng*. Novel deep learning approach for forecasting daily hotel demand with agglomeration effect. International Journal of Hospitality Management. 2021, 98, 103038. (SSCI, JCR Q1, ABS 3)
Liyao Huang, Cheng Li, Weimin Zheng*. Daily hotel demand forecasting with spatiotemporal features. International Journal of Contemporary Hospitality Management. 2023, 35: 26-45. (SSCI, JCR Q1, ABS 3)
Liyao Huang, Weimin Zheng*. Hotel demand forecasting: A comprehensive literature review. Tourism Review. 2023, 78: 218-244. (SSCI, JCR Q1)
Jiaying Chen, Cheng Li, Liyao Huang*, Weimin Zheng. Tourism demand forecasting: a deep learning model based on spatial-temporal transformer. Tourism Review.2023. ahead-of-print. (Corresponding author, SSCI, JCR Q1)
Liyao Huang, Weimin Zheng*, Zuohua Deng. Tourism demand forecasting: An interpretable deep learning model. Tourism Analysis. (online) (SSCI, ABS 2)
Liyao Huang, Mengling Li, Weimin Zheng*, Shengnan Gao. How urban tourist mobility changes throughout the day? A three-step analysis framework. International Journal of Tourism Research. 2024. Forthcoming (SSCI, JCR Q1)