activity
20232026
most citedTowards General and Efficient Online Tuning for Spark

24 citations · 33 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.CR2026

Practical Anonymous Two-Party Gradient Boosting Decision Tree

Chenyu Huang, Fan Zhang, Minxin Du +6

Structured data is well handled by gradient-boosted decision trees (GBDT), which are usually trained on vertically partitioned features across mutually distrustful parties. High sp…

cs.CL2026

ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL

Zhaorui Yang, Huawei Zheng, Sen Yang +14

Large language models have substantially advanced Text-to-SQL systems, yet applying them to enterprise-scale databases remains challenging. Real-world databases often contain large…

cs.CL2026

EviLink: Multi-Path Schema Linking with Uncertainty-Guided Evidence Acquisition for Large-Scale Text-to-SQL

Huawei Zheng, Sen Yang, Zhaorui Yang +12

Schema linking is a difficult and important step in large-scale Text-to-SQL, where systems must identify a compact yet sufficient schema context from large and ambiguous databases.…

cs.CR2026

Privacy-Preserving Screening for Record Linkage

Chenyu Huang, Fan Zhang, Huangxun Chen +4

In an era dominated by big data and machine learning, establishing valuable data collaboration has never been more critical. However, such collaborations must operate under regulat…

cs.DB2026

SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms

Yu Shen, Shiyang Liu, Qihang He +14

Big data platforms are widely used in modern enterprises, and an in-production intelligent assistant is increasingly important to help users quickly find actionable guidance and re…