Sam Cheng
rcheng12@illinois.edu
/ Google Scholar
/ LinkedIn
I am a computer science PhD student at University of Illinois Urbana-Champaign.
Before that, I obtained my undergraduate degree in computer science from University of California, Davis in 2019.
My PhD advisor is Darko Marinov.
Publications
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Large Language Models as Configuration Validators
Xinyu Lian*, Yinfang Chen*, Runxiang Cheng, Jie Huang, Parth Thakkar, Minjia Zhang, and Tianyin Xu
47th IEEE/ACM International Conference on Software Engineering
ICSE 2025
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Revisiting Test-Case Prioritization on Long-Running Test Suites
Runxiang Cheng, Shuai Wang, Reyhaneh Jabbarvand, and Darko Marinov
33rd ACM SIGSOFT International Symposium on Software Testing and Analysis
ISSTA 2024
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Efficient Modality Selection in Multimodal Learning
Yifei He*, Runxiang Cheng*, Gargi Balasubramaniam*, Yao-Hung Hubert Tsai, and Han Zhao
Journal of Machine Learning Research, Volume 25
JMLR 2024
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Exploring CXL-based KV Cache Storage for LLM Serving
Yupeng Tang*, Runxiang Cheng*, Ping Zhou, Tongping Liu, Kyoungryun Bae, Jianjun Chen, Wu Xiang, Fei Liu, Wei Tang, and Rui Shi
38th Annual Conference on Neural Information Processing Systems
NeurIPS 2024, Machine Learning for Systems Workshop
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Towards GPU Memory Efficiency for Distributed Training at Scale
Runxiang Cheng, Chris Cai, Selman Yilmaz, Rahul Mitra, Malay Bag, Mrinmoy Ghosh, and Tianyin Xu
14th ACM Symposium on Cloud Computing
SoCC 2023
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Greedy Modality Selection via Approximate Submodular Maximization
Runxiang Cheng*, Gargi Balasubramaniam*, Yifei He*, Yao-Hung Hubert Tsai, and Han Zhao
38th Conference on Uncertainty in Artificial Intelligence
UAI 2022
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Test-Case Prioritization for Configuration Testing
Runxiang Cheng, Lingming Zhang, Darko Marinov, and Tianyin Xu
30th ACM SIGSOFT International Symposium on Software Testing and Analysis
ISSTA 2021 (ACM SIGSOFT Distinguished Paper Award)
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Testing Configuration Changes in Context to Prevent Production Failures
Xudong Sun*, Runxiang Cheng*, Jianyan Chen, Ran Ang, Owolabi Legunsen, and Tianyin Xu
14th USENIX Symposium on Operating Systems Design and Implementation
OSDI 2020
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A Visual Attention Grounding Neural Model for Multimodal Machine Translation
Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, and Zhou Yu
2018 Conference on Empirical Methods in Natural Language Processing
EMNLP 2018 (Long Paper)
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Gunrock: Building A Human-Like Social Bot By Leveraging Large Scale Real User Data
Chun-Yen Chen, Dian Yu, Weiming Wen, Yi Mang Yang, Jiaping Zhang, Mingyang Zhou, Kevin Jesse, Austin Chau, Antara Bhowmick, Shreenath Iyer, Giritheja Sreenivasulu, Runxiang Cheng, Ashwin Bhandare, and Zhou Yu
2018 Alexa Prize Socialbot Grand Challenge (Champion Team)
Industry Experience
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Google, Research Intern, Fall 2024
- DevAI Research, Software Engineering Agent
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TikTok, Research Intern, Summer 2024
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Meta, Research Intern and Part-Time Researcher, Summer-Fall 2022
- Production AI Capacity, Training Performance and Reliability
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IBM Research, Research Intern, Summer 2020
- Cloud Infrastructure Code Reliability
Teaching Assistantship
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UIUC CS 598: Cloud Computing Research Capstone
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UIUC CS 105: Intro Computing: Non-Tech
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UIUC CS 498: Cloud Computing Applications