1. CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations. (EuroSys-2026)
2. WAFFLE: Fine-tuning Multi-Modal Model for Automated Front-End Development. (ACL-2025)
3. Vicious Cycles in Distributed Software Systems. (ASE-2023)
4. EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. (ICSE-2022)
5. Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. (NeurIPS-2021)
6. Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. (ASE-2020) - Won ACM SIGSOFT Distinguished Paper Award
Research Experience
Conducting research in collaboration with Prof. Lin Tan and Prof. Yongle Zhang.
Education
Ph.D. candidate at the Department of Computer Science, Purdue University, working with Prof. Lin Tan and Prof. Yongle Zhang.
Background
Research interests include distributed systems, machine learning systems, and software dependability. Current research broadly focuses on improving the reliability of distributed systems.
Miscellany
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