A New Micro-payment Protocol Based on P2P Networks. - Jia Zou 001; Si Tiange; Huang Liansheng; Yiqi Dai (ICEBE, 2005)

SIP Parsing Offload: Design and Performance. - Jia Zou 001; Wei Xue; Zhiyong Liang; Yixin Zhao; Bo Yang; Ling Shao 002 (GLOBECOM, 2007)

Motivating and Modeling SIP Offload. - Jia Zou 001; Yiqi Dai (ICCCN, 2007)

A Real-Time Payment Scheme for SIP Service Based on Hash Chain. - Jianguo Hao; Jia Zou 001; Yiqi Dai (ICEBE, 2008)

Scalability Evaluation and Optimization of Multi-Core SIP Proxy Server. - Jia Zou 001; Zhiyong Liang; Yiqi Dai (ICPP, 2008)

Frequent Instruction Sequential Pattern Mining in Hardware Sample Data. - Jia Zou 001; Jing Xiao; Rui Hou; Yanqi Wang (ICDM, 2010)

Design and Analysis of a Distributed Multi-leg Stock Trading System. - Jia Zou 001; Gong Su; Arun Iyengar; Yu Yuan; Yi Ge (ICDCS, 2011)

MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs. - Juwei Shi; Jia Zou 001; Jiaheng Lu; Zhao Cao; Shiqiang Li; Chen Wang 018 (Proc. VLDB Endow., 2014)

Foreseer: Workload-Aware Data Storage for MapReduce. - Jia Zou 001; Juwei Shi; Tongping Liu; Zhao Cao; Chen Wang 018 (ICDCS, 2015)

Schema Management for Document Stores. - Lanjun Wang; Oktie Hassanzadeh; Shuo Zhang; Juwei Shi; Limei Jiao; Jia Zou 001; Chen Wang 018 (Proc. VLDB Endow., 2015)

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. - Jia Zou 001; R. Matthew Barnett; Tania Lorido-Botran; Shangyu Luo; Carlos Monroy; Sourav Sikdar; Kia Teymourian; Binhang Yuan; Chris Jermaine (SIGMOD Conference, 2018)

Declarative Recursive Computation on an RDBMS. - Dimitrije Jankov; Shangyu Luo; Binhang Yuan; Zhuhua Cai; Jia Zou 001; Chris Jermaine; Zekai J. Gao (Proc. VLDB Endow., 2019)

Pangea: Monolithic Distributed Storage for Data Analytics. - Jia Zou 001; Arun Iyengar; Chris Jermaine (Proc. VLDB Endow., 2019)

Integration of Fast-Evolving Data Sources Using a Deep Learning Approach. - Zijie Wang; Lixi Zhou; Jia Zou 001 (SFDI/LSGDA@VLDB, 2020)

Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications. - Jia Zou 001; Pratik Barhate; Amitabh Das; Arun Iyengar; Binhang Yuan; Dimitrije Jankov; Chris Jermaine (CoRR, 2020)

Tensor Relational Algebra for Machine Learning System Design. - Binhang Yuan; Dimitrije Jankov; Jia Zou 001; Yuxin Tang; Daniel Bourgeois; Chris Jermaine (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 001 (CoRR, 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 001 (CoRR, 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 001; Chris Jermaine; Zekai J. Gao (SIGMOD Rec., 2020)

Architecture of a distributed storage that combines file system, memory and computation in a single layer. - Jia Zou 001; Arun Iyengar; Chris Jermaine (VLDB J., 2020)

Using Deep Learning Models to Replace Large Materialized Views in Relational Database. - Jia Zou 001 (CIDR, 2021)

Tensor Relational Algebra for Distributed Machine Learning System Design. - Binhang Yuan; Dimitrije Jankov; Jia Zou 001; Yuxin Tang; Daniel Bourgeois; Chris Jermaine (Proc. VLDB Endow., 2021)

Lachesis: Automated Partitioning for UDF-Centric Analytics. - Jia Zou 001; Amitabh Das; Pratik Barhate; Arun Iyengar; Binhang Yuan; Dimitrije Jankov; Chris Jermaine (Proc. VLDB Endow., 2021)

Benchmark of DNN Model Search at Deployment Time. - Lixi Zhou; Arindam Jain; Zijie Wang; Amitabh Das; Yingzhen Yang; Jia Zou 001 (SSDBM, 2022)

Serving Deep Learning Models with Deduplication from Relational Databases. - Lixi Zhou; Jiaqing Chen; Amitabh Das; Hong Min; Lei Yu 002; Ming Zhao; Jia Zou 001 (Proc. VLDB Endow., 2022)

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 001 (IEEE Big Data, 2023)

A Comparison of End-to-End Decision Forest Inference Pipelines. - Hong Guan; Saif Masood; Mahidhar Reddy Dwarampudi; Venkatesh Gunda; Hong Min; Lei Yu 002; Soham Nag; Jia Zou 001 (SoCC, 2023)

Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis. - Lixi Zhou; Lei Yu 002; Jia Zou 001; Hong Min (SSDBM, 2023)

A Comparison of Decision Forest Inference Platforms from A Database Perspective. - Hong Guan; Mahidhar Reddy Dwarampudi; Venkatesh Gunda; Hong Min; Lei Yu 002; Jia Zou 001 (CoRR, 2023)

DeepMapping: The Case for Learned Data Mapping for Compression and Efficient Query Processing. - Lixi Zhou; K. Selçuk Candan; Jia Zou 001 (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 001 (CoRR, 2023)

Taxonomy, Semantic Data Schema, and Schema Alignment for Open Data in Urban Building Energy Modeling. - Liang Zhang; Jianli Chen; Jia Zou 001 (CoRR, 2023)

IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. - Lulu Xie; Yancheng Wang; Hong Guan; Soham Nag; Rajeev Goel; Niranjan Erappa Narayana Swamy; Yingzhen Yang; Chaowei Xiao; Jonathan Prisby; Ross Maciejewski; Jia Zou 001 (IEEE Big Data, 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 001 (EDBT, 2024)

DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup. - Lixi Zhou; K. Selçuk Candan; Jia Zou 001 (ICDE, 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 001 (CoRR, 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 001 (CoRR, 2024)

DataMorpher: Automatic Data Transformation Using LLM-Based Zero-Shot Code Generation. - Ankita Sharma; Jaykumar Tandel; Xuanmao Li; Lanjun Wang; Anna Fariha; Liang Zhang; Syed Arsalan Ahmed Naqvi; Irbaz Bin Riaz; Lei Cao; Jia Zou 001 (ICDE, 2025)

Privacy-Preserving Range Aggregation Queries Using a Learning-Based Approach. - Hong Guan; Jia Zou 001 (PerCom Workshops, 2025)

Collaborative large language models for automated data extraction in living systematic reviews. - 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; et al. (J. Am. Medical Informatics Assoc., 2025)

Privacy and Accuracy-Aware AI/ML Model Deduplication. - Hong Guan; Lei Yu 002; Lixi Zhou; Li Xiong 001; Kanchan Chowdhury; Lulu Xie; Xusheng Xiao; Jia Zou 001 (Proc. ACM Manag. Data, 2025)