Hello! I'm

Yue (Eve) Hu

I am a Research Scientist at Meta Ads, specialized in formulating machine learning problems and building solutions for real world challenges. Prior to that, I obtained my PhD degree in computer science at Vanderbilt University and the Institute for Software Integrated Systems, under the supervision of Prof. Dan Work. I earned my M.S. in Systems Engineering at the Department of Civil and Environmental Engineering in University of California at Berkeley. My interest lies in machine learning, anomaly detection, data and artificial intelligence applications to real world systems.
Outside of work, I enjoy traveling, exploring new cuisines, and staying active through workouts.

NEWS

News

  • Aug 2023: Excited to be joining Meta Ads as Research Scientist.
  • May 2023: Glad to present our paper Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks in ACM Web Conference 2023.
  • Dec 2022: Successfully defended my PhD dissertation in Computer Science, focusing on spatio-temporal learning for analyzing traffic events.
  • May 2021: Excited to be joining Facebook as Machine Learning Engineer for summer internship!
  • Jan 2021: Our paper Robust Tensor Recovery with Fiber Outliers for Traffic Events is accepted by ACM TKDD.
  • Sept 2020: Won finalist and Best student paper at SMC Data Challenge 2020 hosted by Oak Ridge National Laboratory. Great work with Ao qu, Yu Wang and Yanbing Wang!
  • May 2020: Read our recent article: THE REBOUND: HOW COVID-19 COULD LEAD TO WORSE TRAFFIC. Great work with Will Barbour, Prof. Samitha Samaranayake, and Prof. Dan Work!
  • Dec 2019: Presented at Neurips 2019 CCAI - Tackling Climate Change with Machine Learning Workshop, on Automatic data cleaning via tensor factorization for large urban environmental sensor networks. Great work with Canwen Jiao and Yanbing Wang!
  • Dec 2019:Won NeurIPS Travel Award, and Travel grant to CCAI NeurIPS, Tackling Climate Change with Machine Learning Workshop.
  • Nov 2019: Gave a talk at Georgia Tech on Robust Tensor Recovery for Traffic Events, during the Southeast Controls Conference. Thanks Prof. Sam Coogan for invitation!
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