Jia Zou

According to our database, Jia Zou authored at least 36 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection.

Hong Guan, Yancheng Wang, Lulu Xie, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou

CoRR, 2024

A Learning-based Declarative Privacy-Preserving Framework for Federated Data Management.

Hong Guan, Summer Gautier, Deepti Gupta, Rajan Hari Ambrish, Yancheng Wang, Harsha Lakamsani, Dhanush Giriyan, Saajan Maslanka, Chaowei Xiao, Yingzhen Yang, Jia Zou

CoRR, 2024

DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup.

Lixi Zhou, K. Selçuk Candan, Jia Zou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Serving Deep Learning Models from Relational Databases.

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

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Taxonomy, Semantic Data Schema, and Schema Alignment for Open Data in Urban Building Energy Modeling.

Liang Zhang, Jianli Chen, Jia Zou

CoRR, 2023

Serving Deep Learning Model in Relational Databases.

Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou

CoRR, 2023

DeepMapping: The Case for Learned Data Mapping for Compression and Efficient Query Processing.

Lixi Zhou, K. Selçuk Candan, Jia Zou

CoRR, 2023

A Comparison of Decision Forest Inference Platforms from A Database Perspective.

Hong Guan, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Jia Zou

CoRR, 2023

Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis.

Lixi Zhou, Lei Yu, Jia Zou, Hong Min

Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

A Comparison of End-to-End Decision Forest Inference Pipelines.

Hong Guan, Saif Masood, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Soham Nag, Jia Zou

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy 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

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Serving Deep Learning Models with Deduplication from Relational Databases.

Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, Jia Zou

Proc. VLDB Endow., 2022

Benchmark of DNN Model Search at Deployment Time.

Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

2021

Lachesis: Automated Partitioning for UDF-Centric Analytics.

Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine

Proc. VLDB Endow., 2021

Tensor Relational Algebra for Distributed Machine Learning System Design.

Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine

Proc. VLDB Endow., 2021

Using Deep Learning Models to Replace Large Materialized Views in Relational Database.

Jia Zou

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Architecture of a distributed storage that combines file system, memory and computation in a single layer.

Jia Zou, Arun Iyengar, Chris Jermaine

VLDB J., 2020

Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning.

Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao

SIGMOD Rec., 2020

It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing.

Lixi Zhou, Zijie Wang, Amitabh Das, Jia Zou

CoRR, 2020

Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning.

Zijie Wang, Lixi Zhou, Amitabh Das, Valay Dave, Zhanpeng Jin, Jia Zou

CoRR, 2020

Tensor Relational Algebra for Machine Learning System Design.

Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine

CoRR, 2020

Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications.

Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine

CoRR, 2020

Integration of Fast-Evolving Data Sources Using a Deep Learning Approach.

Zijie Wang, Lixi Zhou, Jia Zou

Proceedings of the Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, 2020

2019

Pangea: Monolithic Distributed Storage for Data Analytics.

Jia Zou, Arun Iyengar, Chris Jermaine

Proc. VLDB Endow., 2019

Declarative Recursive Computation on an RDBMS.

Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao

Proc. VLDB Endow., 2019

2018

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development.

Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine

Proceedings of the 2018 International Conference on Management of Data, 2018

2015

Schema Management for Document Stores.

Lanjun Wang, Oktie Hassanzadeh, Shuo Zhang, Juwei Shi, Limei Jiao, Jia Zou, Chen Wang

Proc. VLDB Endow., 2015

Foreseer: Workload-Aware Data Storage for MapReduce.

Jia Zou, Juwei Shi, Tongping Liu, Zhao Cao, Chen Wang

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014

MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs.

Juwei Shi, Jia Zou, Jiaheng Lu, Zhao Cao, Shiqiang Li, Chen Wang

Proc. VLDB Endow., 2014

2011

Design and Analysis of a Distributed Multi-leg Stock Trading System.

Jia Zou, Gong Su, Arun Iyengar, Yu Yuan, Yi Ge

Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

2010

Frequent Instruction Sequential Pattern Mining in Hardware Sample Data.

Jia Zou, Jing Xiao, Rui Hou, Yanqi Wang

Proceedings of the ICDM 2010, 2010

2008

Scalability Evaluation and Optimization of Multi-Core SIP Proxy Server.

Jia Zou, Zhiyong Liang, Yiqi Dai

Proceedings of the 2008 International Conference on Parallel Processing, 2008

A Real-Time Payment Scheme for SIP Service Based on Hash Chain.

Jianguo Hao, Jia Zou, Yiqi Dai

Proceedings of the 2008 IEEE International Conference on e-Business Engineering, 2008

2007

Motivating and Modeling SIP Offload.

Jia Zou, Yiqi Dai

Proceedings of the 16th International Conference on Computer Communications and Networks, 2007

SIP Parsing Offload: Design and Performance.

Jia Zou, Wei Xue, Zhiyong Liang, Yixin Zhao, Bo Yang, Ling Shao

Proceedings of the Global Communications Conference, 2007

2005

A New Micro-payment Protocol Based on P2P Networks.

Jia Zou, Si Tiange, Huang Liansheng, Yiqi Dai

Proceedings of the 2005 IEEE International Conference on e-Business Engineering (ICEBE 2005), 2005