Yutong Wang   Ph.D. Candidate Computer and Information Sciences, University of California, Davis Davis, CA. Email: ytwwang AT ucdavis DOT edu

About me

I am a Ph.D. candidate at the University of California, Davis, advised by Professor Cindy Rubio-González.

Prior to UC Davis, I got my B.E. degree in Computer Science at Southern University of Science and Technology (SUSTech) in Shenzhen, China.

My research interests include Software Engineering, Deep Learning, High Performance Computing, and Large Language Models.

Education

University of California, Davis                                                                                           Sept 2020 - Present


Ph.D. in Computer Science
Davis, CA, USA


Southern University of Science and Technology                                                        Sept 2016 - June 2020


B.E. in Computer Science
Shenzhen, China

Publications

• [ISC 2026] RLTuner: Floating-Point Precision Tuning Using Deep Reinforcement Learning
  Haneul Lee*, Yutong Wang*, Cindy Rubio-González (*Equal contribution)
  Proceedings of ISC High Performance
  Hamburg, Germany, June 2026
  [PDF] [Source]
  

• [CORRECTNESS 2025] LLM4FP: LLM-Based Program Generation for Triggering Floating-Point Inconsistencies Across Compilers
  Yutong Wang, Cindy Rubio-González
  Proceedings of the International Workshop on Software Correctness for HPC Applications on SC25
  St. Louis, Missouri, USA, November 2025
  [PDF] [Source]
  

• [ICSE 2024] FPLearner: Predicting Performance and Accuracy of Mixed-Precision Programs for Precision Tuning
  Yutong Wang, Cindy Rubio-González
  Proceedings of the International Conference on Software Engineering (Acceptance Rate 71/330=21.5% in the 1st round)
  Lisbon, Portugal, April 2024
  [PDF] [Source]
  

• [KDD 2020] Attackability Characterization of Adversarial Evasion Attack on Discrete Data
  Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li and Xiangliang Zhang
  Proceedings of the SIGKDD Conference on Knowledge Discovery and Data Mining (Acceptance Rate 216/1279=16.9%)
  San Diego, CA, USA, August 2020
  [PDF] [Source]
  

Experiences

Applied Scientist Intern | Amazon

• GTMC CASE Team
  June 2024 - Sept 2024, Seattle, WA, USA
  

  Research Assistant | UC Davis

• Advisor: Prof. Cindy Rubio-González
  Programming Languages and Software Engineering Group (PLSE)
  Aug 2020 - present, Davis, CA, USA
  

  Research Assistant | SUSTech

• Advisor: Prof. Yepang Liu
  Software Quality Lab (SQL)
  July 2020 - Oct 2020, Shenzhen, China
  

  Research Intern | KAUST

• Advisor: Prof. Xiangliang Zhang
  Machine Intelligence & KNowledge Engineering Lab (MINE)
  Sept 2019 - Jan 2020, Thuwal, Saudi Arabia
  

  Research Intern | UC Irvine

• Advisor: Prof. Chen Li
  Information System Group (ISG)
  July 2019 - Sept 2019, Irvine, CA, USA
  

Teaching Assistance

• ECS36A Programming & Problem Solving, UC Davis, Winter 2026
• ECS260 Software Engineering, UC Davis, Winter 2023
• ECS150 Operating System, UC Davis, Spring 2021
• CS324 Deep Learning, SUSTech, Spring 2020

Selected Awards and Honors

• GGCS 2023 Spring Quarter Research Fellowship Award, UC Davis
• Graduate Student Fellowship, UC Davis
• Distinguished Undergraduate Thesis (top 10), SUSTech

Academic Talks and Services

• Program Committee Member, AAAI/ACM Conference on AI, Ethics, and Society (AIES 2026)
• Reviewer, AI for Math Workshop @ ICML 2026
• Reviewer, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Applied Data Science track (ECML-PKDD 2026)
• Reviewer, AgentSkills Workshop @ ACM CAIS 2026
• Journal Reviewer, IEEE Transactions on Parallel and Distributed Systems (TPDS 2025)
• Talk for CORRECTNESS 2025, LLM4FP: LLM-Based Program Generation for Triggering Floating-Point Inconsistencies Across Compilers
• Talk for FPTalks 2024 (YouTube), FPLearner: Predicting Performance and Accuracy for Precision Tuning
• Talk for ICSE 2024 Research Track, FPLearner: Predicting Performance and Accuracy for Precision Tuning
• Co-reviewer, PLDI 2024 Research Track
• Co-reviewer, ICSE 2024 Research Track
• Co-reviewer, OOPSLA 2023 Research Track
• Co-reviewer, FSE 2022 Research Track
• Co-reviewer, ISSTA 2022 Research Track
• Co-reviewer, PLDI 2021 Research Track

Miscellaneous

I was born and raised in Qingdao, a gorgeous seaside city. You may hear about this city if you've drunk the Tsingtao Beer before. As for me, I like horses and enjoy horseback riding — simply happy on horseback. I also hold a soft spot for Hawaii, whose ocean and warmth I deeply miss.