Scholar
Zhaoheng Li
Google Scholar ID: QvZxcMcAAAAJ
Ph.D. student, University of Illinois at Urbana-Champaign
Citations & Impact
Citations
38
H-index
5
i10-index
0
Publications
14
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'MojoFrame: Dataframe Library in Mojo Language' accepted to ICDE 2026; 'QStore: Quantization-Aware Compressed Model Storage' accepted to VLDB 2026; Demo 'Demo of Kishu: Time-Traveling for Computational Notebooks' received Best Demo Award at SIGMOD 2025; 'SIEVE: Effective Filtered Vector Search with Collection of Indexes' accepted to VLDB 2025.
Research Experience
- Interned at ByteDance's System Infrastructure Lab (Summer 2024), working on cloud-based vector databases; Google BigQuery (Summer 2023), contributing to Efficient GROUP BY for Structs; Google S2Infra (Summer 2022), involved in SQL Profiling with BPF; Google Local Services (Summer 2020), focusing on Ads Ranking Algorithms; Google ContentAds (Summer 2019), responsible for Monitoring Pipeline for Ad Requests.
Education
- Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Yongjoo Park. During undergraduate studies at UIUC, engaged in research projects such as DOTA2 match outcome prediction, Deep Steerable Graph Generation with Prof. Carl Yang, and completed a bachelor’s thesis titled 'REFORM: Fast and Adaptive Solution for Subteam Replacement' under the guidance of Prof. Hanghang Tong.
Background
- Research interests: Systems for AI and ML, Interactive data analytics, Vector databases, Graph algorithms. Currently working extensively with computational notebooks and vector indexing, aiming to bridge established database principles with these emerging technologies used in exploratory AI to enhance user experience.
Co-authors