Scholar
Yifan Zhang
Google Scholar ID: PLEmqisAAAAJ
Ph.D. Student in CS, Vanderbilt University
Citations & Impact
Citations
313
H-index
8
i10-index
8
Publications
20
Co-authors
9
list available
Resume (English only)
Academic Achievements
- - Publications: TMLR, ACL'25, EuroS&P'25, FSE'25 IVR, HotSoS'25 WIP, NAACL'25 Industry, ICPC'25 ERA, ICSE'25 JF, TMech, TOSEM, etc.
- - Awards: C.F. Chen Best Paper Award, NSF Student Travel Support, ACM SIGSOFT CAPS Travel Grant
- - Reviewer Experience: ICLR'26, AAAI'26, LLM4Code@ICSE'26, NeurIPS'25, ICLR'25, ICML'25, NeurIPS'24, DMLR@ICML'24, CCS'24 AE, etc.
Research Experience
- - Full-time MLE at JD.com
- - Research internships at Google, IBM, Intel, and ByteDance
- - Will join Salesforce AI Research as a full-time Research Scientist in January 2026
Education
- - Vanderbilt University (2022-2026): Ph.D. in Computer Science, supervised by Prof. Kevin J. Leach and Prof. Yu Huang
- - Georgia Institute of Technology (2022-2025): M.Sc. in Computer Science, Machine Learning
- - China University of Petroleum (2012-2019): B.A., B.Eng., M.Eng. in English & Petroleum Engineering
- - University of Calgary (2015-2016): Undergraduate Exchange Program in Petroleum Engineering
Background
- - Research Interests: Neural-Symbolic AI for PL/SE, Data-Centric AI for Systems, Large Language Models, LLVM IR/Binary Code Analysis, Compiler Optimization, Applied NLP/ML
- - Professional Field: Computer Science
- - Biography: Ph.D. candidate in Computer Science at Vanderbilt University, focusing on leveraging AI for Programming Languages and Software Engineering (AI4Code), particularly integrating abstract interpretation methods enriched with symbolic reasoning into LLMs and agentic workflows for improved neural code analysis and comprehension.
Miscellany
- - Hobbies and Interests: Not provided
