Xuanhe Zhou

Orcid: 0009-0007-9212-7031

According to our database1, Xuanhe Zhou authored at least 34 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs.
Proc. VLDB Endow., August, 2024

LLM for Data Management.
Proc. VLDB Endow., August, 2024

Breaking It Down: An In-depth Study of Index Advisors.
Proc. VLDB Endow., June, 2024

D-Bot: Database Diagnosis System using Large Language Models.
Proc. VLDB Endow., June, 2024

DB-GPT: Large Language Model Meets Database.
Data Sci. Eng., March, 2024

Robustness of Updatable Learning-based Index Advisors against Poisoning Attack.
Proc. ACM Manag. Data, February, 2024

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation.
CoRR, 2024

LLM-Enhanced Data Management.
CoRR, 2024

The Efficacy of the Connect America Fund in Addressing US Internet Access Inequities.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Automatic Database Knob Tuning: A Survey.
IEEE Trans. Knowl. Data Eng., December, 2023

A Learned Query Rewrite System.
Proc. VLDB Endow., 2023

FEBench: A Benchmark for Real-Time Relational Data Feature Extraction.
Proc. VLDB Endow., 2023

Learned Index: A Comprehensive Experimental Evaluation.
Proc. VLDB Endow., 2023

Grep: A Graph Learning Based Database Partitioning System.
Proc. ACM Manag. Data, 2023

LLM As DBA.
CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Database Meets Artificial Intelligence: A Survey (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

DBAugur: An Adversarial-based Trend Forecasting System for Diversified Workloads.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Demonstration of ViTA: Visualizing, Testing and Analyzing Index Advisors.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Database Meets Artificial Intelligence: A Survey.
IEEE Trans. Knowl. Data Eng., 2022

LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

AutoIndex: An Incremental Index Management System for Dynamic Workloads.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Adaptive Code Learning for Spark Configuration Tuning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Machine Learning for Data Management: A System View.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
A Learned Query Rewrite System using Monte Carlo Tree Search.
Proc. VLDB Endow., 2021

DBMind: A Self-Driving Platform in openGauss.
Proc. VLDB Endow., 2021

openGauss: An Autonomous Database System.
Proc. VLDB Endow., 2021

Machine Learning for Databases.
Proc. VLDB Endow., 2021

AI Meets Database: AI4DB and DB4AI.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Query Performance Prediction for Concurrent Queries using Graph Embedding.
Proc. VLDB Endow., 2020

2019
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning.
Proc. VLDB Endow., 2019

XuanYuan: An AI-Native Database.
IEEE Data Eng. Bull., 2019


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