🎓 I am now a Ph.D. student (2023.1-2026) 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.

🔭 Reseach-wise, I mainly focus on:

• Time series analysis and spatial-temporal analysis
• Public health and AI in medicine
• ML Interpretability or XAI (Explainable Artificial Intelligence)
• Automated Machine Learning (AutoML)

😄 I am open to:

• collaboration opportunities
• research internships

📫 Contact me by:

• Email: xiang.chen(at)kaust(dot)edu(dot)sa; 20S003052(at)stu(dot)hit(dot)edu(dot)cn
• Homepage
• Bilibili:「翔翔的学习频道」
• Google Scholar
• Semantic Scholar

🗣️ Language:

• Chinese, English, Japanese, German, Arabic, Sanskrit...
• Python, R, Matlab, C

💬 News, Journals and Conferences:

• Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang. ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework.CVPR, 2022: 6563-6572.
• 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.
• Xiang Chen, Paula Moraga. Assessing dengue forecasting methods: A comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil. (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.
• Xinyue Shao, Xiang Chen, Xiao Zhu, Yan Zhang, Hongzhi Wang. CUBE: A Causal Interventionbased Counterfactual Interpretation Method. in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2023.3322126.
• 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
• 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
• 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
• Chunnan Wang, Junzhe Wang, Xiang Chen, Xintong Song, Tianyu Mu, Hongzhi Wang. Meta-learning Based CTR Algorithm Selection and Hyperparameter Optimization.(under review)