Haotian Yu 于昊田
Haotian Yu’s Introduction
Haotian Yu’s CV Page
I’m a Data Scientist at Li Auto, China’s Tier 1 electric vehicle company, Nasdaq: Li.
Currently, I’m spending half of my working time on data engineering & processing, data analysis, and data modeling in vehicle R&D.
I’m also spending the other half working time contributing my skills in NLP Labeling, GPT application, and Automated Testing design to motivate vehicle R&D.
I have research experience in machine learning applications in various areas, information security, and social networks.
Publications:
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization Aug-2022
Using graph theory and SA (Simulated Annealing) algorithm for
the de-anonymization of social media information
Differentially private data publication with multi-level data utility Dec-2021
Using differential privacy for multi-layered data
Structure-Attribute-Based Social Network Deanonymization with spectral graph partitioning May-2021
High-dimensional data differential privacy using randomization and de-randomization
I have a background in Data Analytics in MS from George Washington University and a Statistics BA from the University of Minnesota.
Haotian Yu’s Education Background
M.S., Data Analysis-George Washington University. Washington, DC Sep 2018 – May 2020
SEAS(School of Engineering and Applied Science)
B.A., Statistics-University of Minnesota. Minneapolis, Minnesota Sept 2014 – May 2017
B.A., Accounting-Shandong University of Finance and Economics Jinan, China Sept 2012 – June 2016
My skill keywords:
• Data Analytics (Python and R): Machine Learning, NLP, Data Mining and Modeling, Applied Regression Analysis, Sampling Methodology.
• Data Management: SQL Database management.
• Computer Programming Language: Python, R, SQL, JavaScript, Scala, SAS, JAVA, C++, etc.
• Data warehousing and engineering: MySQL, HQL, Scala Apache Spark & pySpark, MongoDB, etc.
• Data pipeline, Web crawler, Algorithm development.