Jia Zou

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 31

Top Topics

Relational Data

Decision Forest

Top Venues

Proc. VLDB Endow.

SFDI/LSGDA@VLDB

Publications

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
Serving Deep Learning Models from Relational Databases. EDBT (2024)
Lixi Zhou, K. Selçuk Candan, Jia Zou
DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup. ICDE (2024)
Hong Guan, Summer Gautier, Deepti Gupta, Rajan Hari Ambrish, Yancheng Wang, Harsha Lakamsani, Dhanush Giriyan, Saajan Maslanka, Chaowei Xiao, Yingzhen Yang, Jia Zou
A Learning-based Declarative Privacy-Preserving Framework for Federated Data Management. CoRR (2024)
Liang Zhang, Jianli Chen, Jia Zou
Taxonomy, Semantic Data Schema, and Schema Alignment for Open Data in Urban Building Energy Modeling. CoRR (2023)
Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou
Serving Deep Learning Model in Relational Databases. CoRR (2023)
Lixi Zhou, Lei Yu, Jia Zou, Hong Min
Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis. SSDBM (2023)
Hong Guan, Saif Masood, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Soham Nag, Jia Zou
A Comparison of End-to-End Decision Forest Inference Pipelines. SoCC (2023)
Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. CoRR (2023)
Lixi Zhou, K. Selçuk Candan, Jia Zou
DeepMapping: The Case for Learned Data Mapping for Compression and Efficient Query Processing. CoRR (2023)
Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. BigData (2023)
Hong Guan, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Jia Zou
A Comparison of Decision Forest Inference Platforms from A Database Perspective. CoRR (2023)
Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, Jia Zou
Serving Deep Learning Models with Deduplication from Relational Databases. Proc. VLDB Endow. 15 (10) (2022)
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
Benchmark of DNN Model Search at Deployment Time. CoRR (2022)
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
Benchmark of DNN Model Search at Deployment Time. SSDBM (2022)
Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, Jia Zou
Serving Deep Learning Models with Deduplication from Relational Databases. CoRR (2022)
Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
Lachesis: Automated Partitioning for UDF-Centric Analytics. Proc. VLDB Endow. 14 (8) (2021)
Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
Tensor Relational Algebra for Distributed Machine Learning System Design. Proc. VLDB Endow. 14 (8) (2021)
Jia Zou
Using Deep Learning Models to Replace Large Materialized Views in Relational Database. CIDR (2021)
Lixi Zhou, Zijie Wang, Amitabh Das, Jia Zou
It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing. CoRR (2020)
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning. SIGMOD Rec. 49 (1) (2020)
Jia Zou, Arun Iyengar, Chris Jermaine
Architecture of a distributed storage that combines file system, memory and computation in a single layer. VLDB J. 29 (5) (2020)
Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications. CoRR (2020)
Zijie Wang, Lixi Zhou, Jia Zou
Integration of Fast-Evolving Data Sources Using a Deep Learning Approach. SFDI/LSGDA@VLDB (2020)
Zijie Wang, Lixi Zhou, Amitabh Das, Valay Dave, Zhanpeng Jin, Jia Zou
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning. CoRR (2020)
Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
Tensor Relational Algebra for Machine Learning System Design. CoRR (2020)
Jia Zou, Arun Iyengar, Chris Jermaine
Pangea: Monolithic Distributed Storage for Data Analytics. Proc. VLDB Endow. 12 (6) (2019)
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
Declarative Recursive Computation on an RDBMS. Proc. VLDB Endow. 12 (7) (2019)
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning. CoRR (2019)
Jia Zou, Arun Iyengar, Chris Jermaine
Pangea: Monolithic Distributed Storage for Data Analytics. CoRR (2018)
Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. SIGMOD Conference (2018)
Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. CoRR (2017)
Lanjun Wang, Oktie Hassanzadeh, Shuo Zhang, Juwei Shi, Limei Jiao, Jia Zou, Chen Wang
Schema Management for Document Stores. Proc. VLDB Endow. 8 (9) (2015)
Jia Zou, Juwei Shi, Tongping Liu, Zhao Cao, Chen Wang
Foreseer: Workload-Aware Data Storage for MapReduce. ICDCS (2015)
Juwei Shi, Jia Zou, Jiaheng Lu, Zhao Cao, Shiqiang Li, Chen Wang
MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs. Proc. VLDB Endow. 7 (13) (2014)
Jia Zou, Gong Su, Arun Iyengar, Yu Yuan, Yi Ge
Design and Analysis of a Distributed Multi-leg Stock Trading System. ICDCS (2011)
Jia Zou, Jing Xiao, Rui Hou, Yanqi Wang
Frequent Instruction Sequential Pattern Mining in Hardware Sample Data. ICDM (2010)
Jia Zou, Zhiyong Liang, Yiqi Dai
Scalability Evaluation and Optimization of Multi-Core SIP Proxy Server. ICPP (2008)
Jianguo Hao, Jia Zou, Yiqi Dai
A Real-Time Payment Scheme for SIP Service Based on Hash Chain. ICEBE (2008)
Jia Zou, Yiqi Dai
Motivating and Modeling SIP Offload. ICCCN (2007)
Jia Zou, Wei Xue, Zhiyong Liang, Yixin Zhao, Bo Yang, Ling Shao
SIP Parsing Offload: Design and Performance. GLOBECOM (2007)
Jia Zou, Si Tiange, Huang Liansheng, Yiqi Dai
A New Micro-payment Protocol Based on P2P Networks. ICEBE (2005)