Scholar
Jia Zou
Google Scholar ID: 7Dnxbj0AAAAJ
Arizona State University
Database Systems for AI
AI in Database Systems
Data Integration
Database Privacy
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Homepage
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Citations & Impact
All-time
Citations
552
H-index
13
i10-index
15
Publications
20
Co-authors
39
list available
Contact
Email
jia.zou@asu.edu
CV
Open ↗
GitHub
Open ↗
Publications
9 items
OptBench: An Interactive Workbench for AI/ML-SQL Co-Optimization[Extended Demonstration Proposal]
2026
Cited
0
CACTUSDB: Unlock Co-Optimization Opportunities for SQL and AI/ML Inferences
2026
Cited
0
FedSGT: Exact Federated Unlearning via Sequential Group-based Training
2025
Cited
0
Structured Multi-Step Reasoning for Entity Matching Using Large Language Model
2025
Cited
0
InferF: Declarative Factorization of AI/ML Inferences over Joins
2025
Cited
0
ProGQL: A Provenance Graph Query System for Cyber Attack Investigation
2025
Cited
0
Privacy and Accuracy-Aware AI/ML Model Deduplication
2025
Cited
0
FGeo-HyperGNet: Geometry Problem Solving Integrating Formal Symbolic System and Hypergraph Neural Network
arXiv.org · 2024
Cited
3
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Resume (English only)
Academic Achievements
NSF CAREER Award (2022)
Amazon Research Award (2023)
IBM Faculty Award (2021)
Published 20+ papers in top venues including VLDB, SIGMOD, ICDE, SoCC, ICDCS, ICDM
Granted 15 patents
VLDB 2019 Best Paper Honorable Mention
SIGMOD 2020 Research Highlight Award
Paper 'ProGQL: A Provenance Graph Query System for Cyber Attack Investigations' accepted to ICDE 2026
Full paper on privacy-aware AI model deduplication accepted to SIGMOD 2025
Two LLM-based data manipulation papers (with Mayo Clinic) accepted to JAMIA and ICDE 2025 demo track
IDNet synthetic identity dataset downloaded 7000+ times on Zenodo; paper accepted to IEEE Big Data 2024 (Industrial and Government Track)
NSF grant as sole PI: $249,998 (total $600,000) for privacy-focused database architecture
Received $9,000 in OpenAI credits for LLM-based data transformation research
Won 2024 Mayo Clinic and ASU Faculty Summer Residency Award
Research Experience
Research Scientist at Rice University, Department of Computer Science, prior to 2019
Researcher at IBM Research - China before joining Rice
Leading the CACTUS lab at ASU focusing on data-intensive systems and AI/ML integration
Collaborating with TAMU-CT on an NSF-funded project on privacy-enhanced database architecture for ML applications
Collaborating with Mayo Clinic on LLM-based data transformation and manipulation infrastructure
Co-authors
39 total
Chris Jermaine
Associate Professor of Computer Science, Rice University
Binhang Yuan(袁彬航)
Hong Kong University of Science and Technology
Co-author 3
Lanjun WANG
Tianjin University
Lixi Zhou
Arizona State University
Co-author 6
Arun Iyengar
Intelligent Data Management and Analytics, LLC
Co-author 8
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