Jia Zou

57 papers A* 3A 3B 8Journal 35Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Applications of Large Language Models to SQL Learning.
SIGCSE (2)
Adwaith Chittavally Dugge Gowda, Jaykumar Tandel, Sharvari Rajiv Joshi, Jia Zou
2026 J jnl
CACTUSDB: Unlock Co-Optimization Opportunities for SQL and AI/ML Inferences.
CoRR
Lixi Zhou, Kanchan Chowdhury, Lulu Xie, Jaykumar Tandel, Hong Guan, Zhiwei Fan, Xinwei Fu, Jia Zou
2026 J jnl
OptBench: An Interactive Workbench for AI/ML-SQL Co-Optimization[Extended Demonstration Proposal].
CoRR
Jaykumar Tandel, Douglas Oscarson, Jia Zou
2025 J jnl
Collaborative large language models for automated data extraction in living systematic reviews.
J. Am. Medical Informatics Assoc.
Muhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, Kaneez Zahra Rubab Khakwani, Zaryab bin Riaz Sipra, Ammad Raina, Sihan Zhou, Huan He, Amir Saeidi, Bashar Hasan, Robert Bryan Rumble, Danielle S. Bitterman, Jeremy L. Warner, Jia Zou, Amye J. Tevaarwerk, Konstantinos Leventakos, Kenneth L. Kehl, Jeanne M. Palmer, Mohammad Hassan Murad, Chitta Baral, Irbaz Bin Riaz
2025 A* conf
DataMorpher: Automatic Data Transformation Using LLM-Based Zero-Shot Code Generation.
ICDE
Ankita Sharma, Jaykumar Tandel, Xuanmao Li, Lanjun Wang, Anna Fariha, Liang Zhang, Syed Arsalan Ahmed Naqvi, Irbaz Bin Riaz, Lei Cao, Jia Zou
2025 — conf
Declarative Privacy-Preserving Inference Queries.
DASFAA (6)
Hong Guan, Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Yancheng Wang, Deepti Gupta, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou
2025 J jnl
FedSGT: Exact Federated Unlearning via Sequential Group-based Training.
CoRR
Bokang Zhang, Hong Guan, Hong Kyu Lee, Ruixuan Liu, Jia Zou, Li Xiong
2025 J jnl
InferF: Declarative Factorization of AI/ML Inferences over Joins.
CoRR
Kanchan Chowdhury, Lixi Zhou, Lulu Xie, Xinwei Fu, Jia Zou
2025 J jnl
Privacy and Accuracy-Aware AI/ML Model Deduplication.
CoRR
Hong Guan, Lei Yu, Lixi Zhou, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, Jia Zou
2025 J jnl
Privacy and Accuracy-Aware AI/ML Model Deduplication.
Proc. ACM Manag. Data
Hong Guan, Lei Yu, Lixi Zhou, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, Jia Zou
2025 — conf
Privacy-Preserving Range Aggregation Queries Using a Learning-Based Approach.
PerCom Workshops
Hong Guan, Jia Zou
2025 J jnl
ProGQL: A Provenance Graph Query System for Cyber Attack Investigation.
CoRR
Fei Shao, Jia Zou, Zhichao Cao, Xusheng Xiao
2025 J jnl
Structured Multi-Step Reasoning for Entity Matching Using Large Language Model.
CoRR
Rohan Bopardikar, Jin Wang, Jia Zou
2024 J jnl
A Learning-based Declarative Privacy-Preserving Framework for Federated Data Management.
CoRR
Hong Guan, Summer Gautier, Deepti Gupta, Rajan Hari Ambrish, Yancheng Wang, Harsha Lakamsani, Dhanush Giriyan, Saajan Maslanka, Chaowei Xiao, Yingzhen Yang, Jia Zou
2024 A* conf
DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup.
ICDE
Lixi Zhou, K. Selçuk Candan, Jia Zou
2024 J jnl
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection.
CoRR
Hong Guan, Yancheng Wang, Lulu Xie, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou
2024 B conf
IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation.
IEEE Big Data
Lulu Xie, Yancheng Wang, Hong Guan, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou
2024 J jnl
Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis.
CoRR
Lixi Zhou, Lei Yu, Jia Zou, Hong Min
2024 B conf
Serving Deep Learning Models from Relational Databases.
EDBT
Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre E. Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou
2023 J jnl
A Comparison of Decision Forest Inference Platforms from A Database Perspective.
CoRR
Hong Guan, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Jia Zou
2023 — conf
A Comparison of End-to-End Decision Forest Inference Pipelines.
SoCC
Hong Guan, Saif Masood, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Soham Nag, Jia Zou
2023 B conf
Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data.
IEEE Big Data
Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
2023 J jnl
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data.
CoRR
Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
2023 J jnl
DeepMapping: The Case for Learned Data Mapping for Compression and Efficient Query Processing.
CoRR
Lixi Zhou, K. Selçuk Candan, Jia Zou
2023 B conf
Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis.
SSDBM
Lixi Zhou, Lei Yu, Jia Zou, Hong Min
2023 J jnl
Serving Deep Learning Model in Relational Databases.
CoRR
Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou
2023 J jnl
Taxonomy, Semantic Data Schema, and Schema Alignment for Open Data in Urban Building Energy Modeling.
CoRR
Liang Zhang, Jianli Chen, Jia Zou
2022 B conf
Benchmark of DNN Model Search at Deployment Time.
SSDBM
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
2022 J jnl
Benchmark of DNN Model Search at Deployment Time.
CoRR
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
2022 J jnl
Serving Deep Learning Models with Deduplication from Relational Databases.
CoRR
Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, Jia Zou
2022 J jnl
Serving Deep Learning Models with Deduplication from Relational Databases.
Proc. VLDB Endow.
Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, Jia Zou
2021 J jnl
Lachesis: Automated Partitioning for UDF-Centric Analytics.
Proc. VLDB Endow.
Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
2021 J jnl
Tensor Relational Algebra for Distributed Machine Learning System Design.
Proc. VLDB Endow.
Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
2021 A conf
Using Deep Learning Models to Replace Large Materialized Views in Relational Database.
CIDR
Jia Zou
2020 J jnl
Architecture of a distributed storage that combines file system, memory and computation in a single layer.
VLDB J.
Jia Zou, Arun Iyengar, Chris Jermaine
2020 J jnl
Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning.
SIGMOD Rec.
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2020 — conf
Integration of Fast-Evolving Data Sources Using a Deep Learning Approach.
SFDI/LSGDA@VLDB
Zijie Wang, Lixi Zhou, Jia Zou
2020 J jnl
It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing.
CoRR
Lixi Zhou, Zijie Wang, Amitabh Das, Jia Zou
2020 J jnl
Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications.
CoRR
Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
2020 J jnl
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning.
CoRR
Zijie Wang, Lixi Zhou, Amitabh Das, Valay Dave, Zhanpeng Jin, Jia Zou
2020 J jnl
Tensor Relational Algebra for Machine Learning System Design.
CoRR
Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
2019 J jnl
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning.
CoRR
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2019 J jnl
Declarative Recursive Computation on an RDBMS.
Proc. VLDB Endow.
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2019 J jnl
Pangea: Monolithic Distributed Storage for Data Analytics.
Proc. VLDB Endow.
Jia Zou, Arun Iyengar, Chris Jermaine
2018 J jnl
Pangea: Monolithic Distributed Storage for Data Analytics.
CoRR
Jia Zou, Arun Iyengar, Chris Jermaine
2018 — conf
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development.
SIGMOD Conference
Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
2017 J jnl
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development.
CoRR
Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
2015 A conf
Foreseer: Workload-Aware Data Storage for MapReduce.
ICDCS
Jia Zou, Juwei Shi, Tongping Liu, Zhao Cao, Chen Wang
2015 J jnl
Schema Management for Document Stores.
Proc. VLDB Endow.
Lanjun Wang, Oktie Hassanzadeh, Shuo Zhang, Juwei Shi, Limei Jiao, Jia Zou, Chen Wang
2014 J jnl
MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs.
Proc. VLDB Endow.
Juwei Shi, Jia Zou, Jiaheng Lu, Zhao Cao, Shiqiang Li, Chen Wang
2011 A conf
Design and Analysis of a Distributed Multi-leg Stock Trading System.
ICDCS
Jia Zou, Gong Su, Arun Iyengar, Yu Yuan, Yi Ge
2010 A* conf
Frequent Instruction Sequential Pattern Mining in Hardware Sample Data.
ICDM
Jia Zou, Jing Xiao, Rui Hou, Yanqi Wang
2008 — conf
A Real-Time Payment Scheme for SIP Service Based on Hash Chain.
ICEBE
Jianguo Hao, Jia Zou, Yiqi Dai
2008 B conf
Scalability Evaluation and Optimization of Multi-Core SIP Proxy Server.
ICPP
Jia Zou, Zhiyong Liang, Yiqi Dai
2007 B conf
Motivating and Modeling SIP Offload.
ICCCN
Jia Zou, Yiqi Dai
2007 B conf
SIP Parsing Offload: Design and Performance.
GLOBECOM
Jia Zou, Wei Xue, Zhiyong Liang, Yixin Zhao, Bo Yang, Ling Shao
2005 — conf
A New Micro-payment Protocol Based on P2P Networks.
ICEBE
Jia Zou, Si Tiange, Huang Liansheng, Yiqi Dai