Scholar
Runxiang Cheng
Google Scholar ID: XDN3COcAAAAJ
University of Illinois at Urbana–Champaign
Citations & Impact
Citations
390
H-index
7
i10-index
6
Publications
13
Co-authors
0
Publications
Resume
Academic Achievements
- - pytest-ranking: A Regression Test Prioritization Tool for Python, 33rd ACM International Conference on the Foundations of Software Engineering (FSE 2025), Demonstrations
- - Agentic Bug Reproduction for Effective Automated Program Repair at Google, Preprint 2025
- - Large Language Models as Configuration Validators, 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025)
- - Revisiting Test-Case Prioritization on Long-Running Test Suites, 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2024)
- - Efficient Modality Selection in Multimodal Learning, Journal of Machine Learning Research, Volume 25 (JMLR 2024)
- - Exploring CXL-based KV Cache Storage for LLM Serving, 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Machine Learning for Systems Workshop
- - Towards GPU Memory Efficiency for Distributed Training at Scale, 14th ACM Symposium on Cloud Computing (SoCC 2023)
- - Greedy Modality Selection via Approximate Submodular Maximization, 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022)
- - Test-Case Prioritization for Configuration Testing, 30th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2021), ACM SIGSOFT Distinguished Paper Award
- - Testing Configuration Changes in Context to Prevent Production Failures, 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2020)
- - A Visual Attention Grounding Neural Model for Multimodal Machine Translation, 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Long Paper
- - Gunrock: Building A Human-Like Social Bot By Leveraging Large Scale Real User Data, 2018 Alexa Prize Socialbot Grand Challenge (Champion Team)
Research Experience
- - Google, July 2025-Ongoing, Research Scientist, DevAI Research
- - Google, Fall 2024, Research Intern, DevAI Research, Software Engineering Agent
- - TikTok, Summer 2024, Research Intern, LLM Inference System
- - Meta, Summer-Fall 2022, Research Intern and Part-Time Researcher, GPU Capacity for AI Training
- - IBM Research, Summer 2020, Research Intern, Cloud Infrastructure Code Reliability
- - University of Illinois Urbana-Champaign, 2019-2025, Graduate Research Assistant, Teaching Assistant for Cloud Computing (CS 598, CS 498), Intro Computing (CS 105)
Education
- - Ph.D. in Computer Science, University of Illinois Urbana-Champaign, 2019-2025, Advisor: Darko Marinov
- - B.S. in Computer Science, University of California, Davis, 2016-2019
Background
- Research Interests: Software engineering and AI, focusing on agents for software testing, debugging, and repairing in Google's production environment.