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🎓 I am now a Ph.D. candidate (2023.1 - 2026.6) in King Abdullah University of Science and Technology (KAUST).
I have obtained M.Sc (2022.6) and B.Eng (2020.6) degrees in Computer Science and Technology, and a minor B.M. degree (2020.6) in Big Data Management and Application in Harbin Institute of Technology(HIT).
My major is Computer Science and Statistics.
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🔭 Reseach-wise, I mainly focus on:
- Time series analysis
- Spatial Statistics
- Public health
- ML Interpretability or XAI (Explainable Artificial Intelligence)
- Automated Machine Learning (AutoML)
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😄 I am open to:
- collaboration opportunities
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📫 Contact me by:
- Email: xiang.chen(at)kaust(dot)edu(dot)sa
- Homepage
- Bilibili:「翔翔的学习频道」
- Google Scholar
- Semantic Scholar
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🗣️ Language:
- Chinese, English, Japanese, Korean, German, Arabic, (Sanskrit)...
- Python, R, Matlab, SPSS, C
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📃 Journal and Conference Papers:
- Automated Machine Learning (AutoML)
- Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang. ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework.CVPR, 2022: 6563-6572.
- Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang. TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model.In: Pattern Recognition, Volume 140, 2023, 109559, ISSN 0031-3203
- Chunnan Wang, Junzhe Wang, Xiang Chen, Xintong Song, Tianyu Mu, Hongzhi Wang. Meta-learning Based CTR Algorithm Selection and Hyperparameter Optimization. in 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, 2025, pp. 1509-1522, doi: 10.1109/ICDE65448.2025.00117.
- Disease Forecasting, Spatio-temporal Modeling, Time Series and Public Health
- Xiang Chen, Paula Moraga. Assessing dengue forecasting methods: A comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil. Tropical Medicine and Health. 53, 52 (2025). doi: 10.1186/s41182-025-00723-7.
- Xiang Chen, Paula Moraga. Forecasting Dengue across Brazil with LSTM Neural Networks and SHAP-Driven Lagged Climate and Spatial Effects. BMC Public Health. 25, 973 (2025). doi: 10.1186/s12889-025-22106-7.
- Xiang Chen, Paula Moraga. Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors. Infectious Disease Modelling, 11(1), 2026
- Xiang Chen, Paula Moraga. Spatio-temporal dynamics of leptospirosis in Brazil between 2010 and 2023: identifying high-risk regions and gender-specific patterns. Under Review.
- Xiang Chen, Hongzhi Wang. Data-Driven Prediction of Foodborne Disease Pathogens. In:Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1451. Springer, Singapore.
- Psychology, Cohort Analysis, Cross-sectional and Longitudinal Data Analysis
- Hongyu Zou, Xiang Chen†, Wei Zhang. Protective and Risk Factors in Adolescent Depression Using Machine Learning and External Validation in Two Large Population-Based Cohort. submitted to: Journal of Child Psychology and Psychiatry (Under Review)
(†Co-first author. Provided all technical support.)
- Hongyu Zou, Xiang Chen†, Wei Zhang. Protective and Risk Factors in Adolescent Depression Using Machine Learning and External Validation in Two Large Population-Based Cohort. submitted to: Journal of Child Psychology and Psychiatry (Under Review)
- AI Ethics
- Xiang Chen, Jiamu Xie, Zixin Wang, Bohui Shen, Zhixuan Zhou. How we express ourselves freely: Censorship, self-censorship, and anti-censorship on a Chinese social media. iConference 2023: Information for a Better World: Normality, Virtuality, Physicality, Inclusivity.
- Z Shi, Z Zhou, A Choudhry, M Wei, X Chen, B Shen. Ethical concerns of COVID-19 contact tracing: a narrative review. 25th International Conference on Human-Computer Interaction,2023
- Explainable Machine Learning
- Xinyue Shao, Hongzhi Wang, Xiang Chen, Xiao Zhu, Yan Zhang. CUBE: A Causal Interventionbased Counterfactual Interpretation Method. in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2023.3322126. (But who stole my second-author position?😜)
- Cluster Analysis and Unsupervised Machine Learning
- Zixuan Han, Kangjun Peng, Jianing Mi, Xiang Chen.Research on Shrinking City Identification Based on Unsupervised Learning Method--A Case Study of 9 Prefecture-Level Cities in Guangdong-Hong Kong-Macao Greater Bay Area.Journal of Public Administration,2020,13(02):76-93+196
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💬 Conference and Summer School:
- 2024年9月2日-5: RSS International Conference 2024, the UK’s annual showcase for statistics & data science. Brighton, UK
- 2024年9月23日-27: IWR summer school, Applied Modeling of Climate-Sensitive Infectious Diseases. Universität Heidelberg, Germany
- 2025年6月21日-6.30: MIDSEA (Modelling Infectious Diseases in South East Asia) Summer School. Yogyakarta, Indonesia
- 2025年9月1日-4: RSS International Conference 2025. Brighton, Edinburgh, UK
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🔎 Reviewer:
- Spatial and Spatio-temporal Epidemiology, October 2024
- International Journal of Biometeorology, April 2025
- Ecological Modelling, May 2025
- Journal of Applied Mathematics and Physics, June 2025
- Epidemics, July 2025
- PLOS ONE, July 2025
- Infection Ecology & Epidemiology, July 2025
- Communications Earth & Environment, Sept. 2025
- Scientific Reports, Nov. 2025
- Infectious Diseases of Poverty, Nov. 2025