吴小莹｜武汉大学｜学者主页

期刊论文

2026

Database Tuning via Distributional Reinforcement Learning for Hybrid Transactional/Analytical Processing Workloads

Md Rakibul Hasan, Xiaoying Wu, Dimitri Theodoratos

Lecture notes in computer science

DOI

2026

Adaptive Online Index Selection with a Noisy Dueling Deep Q-Network

Md. Rakibul Hasan, Xiaoying Wu, Dimitri Theodoratos

Lecture notes in computer science

DOI

2025

A Bayesian Reinforcement Learning Framework for Online Index Tuning

Md Rakibul Hasan, Xiaoying Wu, Dimitri Theodoratos

Lecture notes in computer science

DOI

2024

数据库索引调优技术综述

赖思超，吴小莹，彭煜玮，彭智勇

《计算机研究与发展》

2024

Correction to: Examining generative AI user disclosure intention: an ELM perspective

Tao Zhou, Xiaoying Wu

Universal Access in the Information Society

DOI

2024

Examining generative AI user disclosure intention: an ELM perspective

Tao Zhou, Xiaoying Wu

Universal Access in the Information Society

DOI

2024

LiteSelect: A Lightweight Adaptive Learning Algorithm for Online Index Selection

Xiaoying Wu, Senyang Wang, Xin Liu, Dimitri Theodoratos, Md Rakibul Hasan

Lecture notes in computer science

DOI

2023

A novel framework for the efficient evaluation of hybrid tree-pattern queries on large data graphs

Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan

Information Systems

DOI

2020

Exploring Citation Networks with Hybrid Tree Pattern Queries

Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan

Communications in computer and information science

DOI

2019

Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views

Xiaoying Wu, Dimitri Theodoratos, Dimitrios Skoutas, Michael Lan

Lecture notes in computer science

DOI

2018

分布式事务型内嵌树模式挖掘

赵文，吴小莹

《武汉大学学报(理学版)》

2018

From Homomorphisms to Embeddings: A Novel Approach for Mining Embedded Patterns from Large Tree Data

Xiaoying Wu, Dimitri Theodoratos, Timos Sellis

Big Data Research

DOI

2018

Efficient Discovery of Embedded Patterns from Large Attributed Trees

Xiaoying Wu, Dimitri Theodoratos

Lecture notes in computer science

DOI

2018

A MapReduce-Based Approach for Mining Embedded Patterns from Large Tree Data

Wen Qing Zhao, Xiaoying Wu

Lecture notes in computer science

DOI

2017

基于Top-k查询约束的深网增量爬取

江俊彦，彭智勇，吴小莹

《模式识别与人工智能》

2016

Diversification of Keyword Query Result Patterns

Cem Aksoy, Ananya Dass, Dimitri Theodoratos, Xiaoying Wu

Lecture notes in computer science

DOI

2013

XReason: A Semantic Approach That Reasons with Patterns to Answer XML Keyword Queries

Cem Aksoy, Aggeliki Dimitriou, Dimitri Theodoratos, Xiaoying Wu

Lecture notes in computer science

DOI

预印本

2023

An Efficient Approach for Discovering Graph Entity Dependencies (GEDs)

Dehua Liu, Selasi Kwashie, Yidi Zhang, Guangtong Zhou, Michael Bewong, Xiaoying Wu, Xi Guo, Keqing He, Zaiwen Feng

arXiv preprint

2021

Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs

Xiaoying Wu, Dimitri Theodoratos, Nikos Mamoulis, Michael Lan

arXiv preprint

2020

Discovering Closed and Maximal Embedded Patterns from Large Tree Data

Xiaoying Wu, Dimitri Theodoratos, Nikos Mamoulis

arXiv preprint

DOI

2015

Design Issues of JPQ: a Pattern-based Query Language for Document Databases

Xuhui Li, Mengchi Liu, Xiaoying Wu, Shanfeng Zhu

arXiv preprint

吴小莹

精选作品

期刊论文

Database Tuning via Distributional Reinforcement Learning for Hybrid Transactional/Analytical Processing Workloads

Adaptive Online Index Selection with a Noisy Dueling Deep Q-Network

A Bayesian Reinforcement Learning Framework for Online Index Tuning

数据库索引调优技术综述

Correction to: Examining generative AI user disclosure intention: an ELM perspective

Examining generative AI user disclosure intention: an ELM perspective

LiteSelect: A Lightweight Adaptive Learning Algorithm for Online Index Selection

A novel framework for the efficient evaluation of hybrid tree-pattern queries on large data graphs

Exploring Citation Networks with Hybrid Tree Pattern Queries

Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views

分布式事务型内嵌树模式挖掘

From Homomorphisms to Embeddings: A Novel Approach for Mining Embedded Patterns from Large Tree Data

Efficient Discovery of Embedded Patterns from Large Attributed Trees

A MapReduce-Based Approach for Mining Embedded Patterns from Large Tree Data

基于Top-k查询约束的深网增量爬取

Diversification of Keyword Query Result Patterns

XReason: A Semantic Approach That Reasons with Patterns to Answer XML Keyword Queries

预印本

An Efficient Approach for Discovering Graph Entity Dependencies (GEDs)

Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs

Discovering Closed and Maximal Embedded Patterns from Large Tree Data

Design Issues of JPQ: a Pattern-based Query Language for Document Databases

研究方向