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Xiaoyong Du

8 papers hereh-index 7207 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.AI2
  • cs.CL2
same name
  • Xiaoyong Du — 16 papers, h 36
  • Xiaoyong Du — 5 papers, h 4
  • Xiaoyong Du — 4 papers, h 1
  • Xiaoyong Du — 3 papers, h 6
  • Xiaoyong Du — 3 papers, h 16
  • Xiaoyong Du — 3 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedCost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration

3 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.DB2026

RaG-Tree: Combining R-Tree and HNSW for Multi-Attribute Range Filtered Approximate Nearest Neighbor Search

Jiawei Liu, Xiang Zhang, Chao Zhang +2

Multi-attribute range-filtered approximate nearest neighbor search (MR-ANNS), which retrieves high-dimensional vectors satisfying multiple attribute constraints, is a fundamental o…

cs.AI2026

CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks?

Yuxin Zhang, Ju Fan, Meihao Fan +2

Advanced agents are increasingly demonstrating the potential to operate as autonomous engineers, creating a growing demand for evaluation benchmarks that capture the complexity of…

cs.DB2026

DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving

Chao Deng, Shaolei Zhang, Ju Fan +1

High-quality training data is essential to large language models (LLMs) and typically requires extensive and costly manual curation. Automatic data preparation systems support reus…

cs.DB2026

DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation

Meihao Fan, Ju Fan, Yuxin Zhang +7

Data preparation, which aims to transform heterogeneous and noisy raw tables into analysis-ready data, remains a major bottleneck in data science. Recent approaches leverage large…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.