Yutong Shao Machine Learning Engineer Tiktok, San Jose shaoyutong3 <at> gmail.com

Introduction

I'm currently a Full-time Machine Learning Engineer at Tiktok, San Jose. My current work focus is on video recommendation.

I previously received my PhD at UC San Diego, advised by Prof. Ndapa Nakashole. During my PhD, my research areas are Natural Language Processing and Machine Learning. My main research focus is on natural language interfaces, i.e. to allow users to use systems via natural language instructions, so as to reduce the learning overhead or expertise requirement. I'm interested in the ways to construct and utilize structured data for natural language interfaces, including tables, databases (DB), knowledge bases (KB), etc. I'm interested in many relevant NLP tasks, including task-oriented dialogs, text-to-SQL parsing, text generation and knowledge base construction.

Before my PhD, I received my bachelor's degree in Computer Science at Peking University.

Selected Publications

• Yutong Shao, Ndapa Nakashole
  On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL
  North American Chapter of the Association for Computational Linguistics (NAACL), 2024
  


• Yutong Shao, Arun Kumar, Ndapa Nakashole
  Database-Aware ASR Error Correction for Speech-to-SQL Parsing
  International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023


• Yutong Shao, Nikita Bhutani, Sajjadur Rahman, Estevam Hruschka
  Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text
  North American Chapter of the Association for Computational Linguistics (NAACL), Findings 2022
  (Internship project @ Megagon Labs)


• Yutong Shao, Ndapa Nakashole
  ChartDialogs: Plotting from Natural Language Instructions
  Association for Computational Linguistics (ACL), 2020


• Yutong Shao, Rico Sennrich, Bonnie Webber, Federico Fancellu
  Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method
  The International Conference on Language Resources and Evaluation (LREC), 2018

CV

Available here: CV

Links

My advisor: Prof. Ndapa Nakashole