Helping Users Debug Trigger-Action Programs. - Lefan Zhang; Cyrus Zhou; Michael L. Littman; Blase Ur; Shan Lu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

SIMD Dataflow Co-optimization for Efficient Neural Networks Inferences on CPUs. - Cyrus Zhou; Zack Hassman; Ruize Xu; Dhirpal Shah; Vaughn Richard; Yanjing Li (CoRR, 2023)

SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. - Cyrus Zhou; Vaughn Richard; Pedro Savarese; Zachary Hassman; Michael Maire; Michael DiBrino; Yanjing Li (CoRR, 2023)

YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs. - Cyrus Zhou; Zack Hassman; Dhirpal Shah; Vaughn Richard; Yanjing Li (CC, 2024)

If At First You Don't Succeed, Try, Try, Again...? Insights and LLM-informed Tooling for Detecting Retry Bugs in Software Systems. - Bogdan Alexandru Stoica; Utsav Sethi; Yiming Su; Cyrus Zhou; Shan Lu 001; Jonathan Mace; Madanlal Musuvathi; Suman Nath (SOSP, 2024)