Yingxia Shao

About Yingxia Shao

Yingxia Shao, With an exceptional h-index of 26 and a recent h-index of 24 (since 2020), a distinguished researcher at Beijing University of Posts and Telecommunications, specializes in the field of Large-scale Graph Analysis, Graph Data Management, Graph Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributed graph neural network training: A survey

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model

How good are machine learning clouds? Benchmarking two snapshots over 5 years

Relation Extraction Model Based on Semantic Enhancement Mechanism

Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion

Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering

Dynamic Fair Federated Learning Based on Reinforcement Learning

Diversity-aware Deep Ranking Network for Recommendation

Yingxia Shao Information

University

Position

SCS

Citations(all)

2391

Citations(since 2020)

2103

Cited By

596

hIndex(all)

26

hIndex(since 2020)

24

i10Index(all)

46

i10Index(since 2020)

45

Email

University Profile Page

Beijing University of Posts and Telecommunications

Google Scholar

View Google Scholar Profile

Yingxia Shao Skills & Research Interests

Large-scale Graph Analysis

Graph Data Management

Graph Learning

Top articles of Yingxia Shao

Title

Journal

Author(s)

Publication Date

Distributed graph neural network training: A survey

Yingxia Shao

Hongzheng Li

Xizhi Gu

Hongbo Yin

Yawen Li

...

2024/4/10

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model

Proceedings of the AAAI Conference on Artificial Intelligence

Linmei Hu

Hongyu He

Duokang Wang

Ziwang Zhao

Yingxia Shao

...

2024/3/24

How good are machine learning clouds? Benchmarking two snapshots over 5 years

The VLDB Journal

Jiawei Jiang

Yi Wei

Yu Liu

Wentao Wu

Chuang Hu

...

2024/3/15

Relation Extraction Model Based on Semantic Enhancement Mechanism

PeiYu Liu

JunPing Du

YingXia Shao

Zeli Guan

2023/9/22

Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion

arXiv preprint arXiv:2311.00300

Runze Fang

Yawen Li

Yingxia Shao

Zeli Guan

Zhe Xue

2023/11/1

Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering

Ziwang Zhao

Linmei Hu

Hanyu Zhao

Yingxia Shao

Yequan Wang

2023/7

Dynamic Fair Federated Learning Based on Reinforcement Learning

Weikang Chen

Junping Du

Yingxia Shao

Jia Wang

Yangxi Zhou

2023/9/22

Diversity-aware Deep Ranking Network for Recommendation

Zihong Wang

Yingxia Shao

Jiyuan He

Jinbao Liu

Shitao Xiao

...

2023/10/21

PCG: a privacy preserving collaborative graph neural network training framework

The VLDB Journal

Xupeng Miao

Wentao Zhang

Yuezihan Jiang

Fangcheng Fu

Yingxia Shao

...

2023/7

ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems

arXiv preprint arXiv:2309.12239

Jinqing Lian

Xinyi Zhang

Yingxia Shao

Zenglin Pu

Qingfeng Xiang

...

2023/9/21

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation

arXiv preprint arXiv:2310.10998

Xinyi Gao

Wentao Zhang

Junliang Yu

Yingxia Shao

Quoc Viet Hung Nguyen

...

2023/10/17

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU

Proceedings of the ACM on Management of Data

Xin Zhang

Yanyan Shen

Yingxia Shao

Lei Chen

2023/6/20

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval

Chaofan Li

Zheng Liu

Shitao Xiao

Yingxia Shao

Defu Lian

...

2023/7/19

Database Systems for Advanced Applications. DASFAA 2023 International Workshops: BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings

Christian S Jensen

Ee-Peng Lim

De-Nian Yang

Chia-Hui Chang

Jianliang Xu

...

2021/4/6

Making Large Language Models A Better Foundation For Dense Retrieval

arXiv preprint arXiv:2312.15503

Chaofan Li

Zheng Liu

Shitao Xiao

Yingxia Shao

2023/12/24

Multi-View Scholar Clustering With Dynamic Interest Tracking

IEEE Transactions on Knowledge and Data Engineering

Ang Li

Yawen Li

Yingxia Shao

Bingyan Liu

2023/2/23

RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models

Zheng Liu

Shitao Xiao

Yingxia Shao

Zhao Cao

2023/7

Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa

Tianyu Zhao

Junping Du

Yingxia Shao

Ang Li

2023/9/22

Experimental Analysis of Large-scale Learnable Vector Storage Compression

arXiv preprint arXiv:2311.15578

Hailin Zhang

Penghao Zhao

Xupeng Miao

Yingxia Shao

Zirui Liu

...

2023/11/27

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection

Ziwei Chen

Linmei Hu

Weixin Li

Yingxia Shao

Liqiang Nie

2023/7

See List of Professors in Yingxia Shao University(Beijing University of Posts and Telecommunications)

Co-Authors

H-index: 56
Bin CUI

Bin CUI

Peking University

H-index: 38
Defu Lian (连德富)

Defu Lian (连德富)

University of Science and Technology of China

H-index: 26
Yunhai Tong

Yunhai Tong

Peking University

H-index: 24
Yanyan Shen

Yanyan Shen

Shanghai Jiao Tong University

H-index: 16
Wentao Zhang (张文涛)

Wentao Zhang (张文涛)

Peking University

H-index: 16
Junjie Yao

Junjie Yao

East China Normal University

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