Wei Zhou

Orcid: 0009-0000-8862-7753

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Wei Zhou authored at least 15 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
ST-Raptor: LLM-Powered Semi-Structured Table Question Answering.
CoRR, August, 2025

DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs.
CoRR, August, 2025

Cracking SQL Barriers: An LLM-based Dialect Translation System.
Proc. ACM Manag. Data, June, 2025

GaussMaster: An LLM-based Database Copilot System.
CoRR, June, 2025

MiniCPM4: Ultra-Efficient LLMs on End Devices.
CoRR, June, 2025

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning.
CoRR, June, 2025

A Survey of LLM ⨉ DATA.
CoRR, May, 2025

CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models.
CoRR, April, 2025

FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform.
CoRR, April, 2025

OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

D-Bot: An LLM-Powered DBA Copilot.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

FedRoad: Secure and Efficient Road Network Queries over Traffic Data Federation.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

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

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

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


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