World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5766
World Ranking
11630
National Ranking
1436

Overview

Xiaoyong Du is affiliated with Renmin University of China. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, and Aerospace Engineering.

Their research covers various topics such as Advanced Database Systems and Queries, Advanced Data Storage Technologies, Topic Modeling, Distributed Systems and Fault Tolerance, Data Quality and Management, Algorithms and Data Compression, and Graph Theory and Algorithms.

Recent publications by Xiaoyong Du include these papers:

  • POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression (2021) in IEEE Transactions on Parallel and Distributed Systems
  • SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition (2022) in Proceedings of the AAAI Conference on Artificial Intelligence
  • TADOC: Text analytics directly on compression (2020) in The VLDB Journal
  • RPT (2021) in Proceedings of the VLDB Endowment
  • Scalable Graph Neural Networks via Bidirectional Propagation (2020) in arXiv (Cornell University)

Xiaoyong Du frequently collaborates with several coauthors, including Feng Zhang, Ju Fan, Wei Lü, Nan Tang, and Jidong Zhai.

Their work is regularly published in journals and conferences such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • IEEE Transactions on Parallel and Distributed Systems
  • The VLDB Journal

In addition to journal and conference papers, Xiaoyong Du has contributed to book publications. Notably, they published a book titled Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation in 2020 through Springer Science+Business Media.

Best Publications

  • Analogical Reasoning on Chinese Morphological and Semantic Relations

    Unknown

  • Big data challenge: a data management perspective

    Jinchuan Chen;Yueguo Chen;Xiaoyong Du;Cuiping Li

  • Learning ontology from relational database

    Man Li;Xiao-Yong Du;Shan Wang

  • Structure Based User Identification across Social Networks

    Xiaoping Zhou;Xun Liang;Xiaoyong Du;Jichao Zhao

  • Detecting Event Rumors on Sina Weibo Automatically

    Shengyun Sun;Hongyan Liu;Jun He;Xiaoyong Du

  • POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression

    Feng Zhang;Jidong Zhai;Xipeng Shen;Onur Mutlu

  • UER: An Open-Source Toolkit for Pre-training Models.

    Zhe Zhao;Hui Chen;Jinbin Zhang;Xin Zhao

  • Efficient and Scalable Processing of String Similarity Join

    Chuitian Rong;Wei Lu;Xiaoli Wang;Xiaoyong Du

  • Zero-shot Image Tagging by Hierarchical Semantic Embedding

    Xirong Li;Shuai Liao;Weiyu Lan;Xiaoyong Du

  • SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition

    Zhaoxin Fan;Zhenbo Song;Hongyan Liu;Zhiwu Lu

  • Fast and Scalable Distributed Set Similarity Joins for Big Data Analytics

    Chuitian Rong;Chuitian Rong;Chunbin Lin;Yasin N. Silva;Jianguo Wang

  • Discriminative Nonnegative Spectral Clustering with Out-of-Sample Extension

    Yang Yang;Yi Yang;Heng Tao Shen;Yanchun Zhang

  • Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics

    Unknown

  • Initializing Convolutional Filters with Semantic Features for Text Classification

    Unknown

  • A Novel Approach to Building a Robust Fuzzy Rough Classifier

    Suyun Zhao;Hong Chen;Cuiping Li;Xiaoyong Du

  • A novel Bayesian classification for uncertain data

    Biao Qin;Yuni Xia;Shan Wang;Xiaoyong Du

  • TADOC: Text analytics directly on compression

    Feng Zhang;Jidong Zhai;Xipeng Shen;Dalin Wang

  • A Study of SQL-on-Hadoop Systems

    Yueguo Chen;Xiongpai Qin;Haoqiong Bian;Jun Chen

  • Persistent Data Sketching

    Zhewei Wei;Ge Luo;Ke Yi;Xiaoyong Du

  • Scaling Word2Vec on Big Corpus

    Bofang Li;Bofang Li;Aleksandr Drozd;Yuhe Guo;Tao Liu

  • DAGC: Employing Dual Attention and Graph Convolution for Point Cloud based Place Recognition

    Qi Sun;Hongyan Liu;Jun He;Zhaoxin Fan

  • Personalized Service System Based on Hybrid Filtering for Digital Library

    Unknown

  • Cost-effective data annotation using game-based crowdsourcing

    Jingru Yang;Ju Fan;Zhewei Wei;Guoliang Li

  • Approximate Graph Propagation

    Hanzhi Wang;Mingguo He;Zhewei Wei;Sibo Wang

  • Wide Table Layout Optimization based on Column Ordering and Duplication

    Haoqiong Bian;Ying Yan;Wenbo Tao;Liang Jeff Chen

  • PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs

    Zhewei Wei;Xiaodong He;Xiaokui Xiao;Sibo Wang

  • Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

    Ju Fan;Tongyu Liu;Guoliang Li;Junyou Chen

Frequent Co-Authors

Hongyan Liu
Hongyan Liu Peking University
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Bingsheng He
Bingsheng He National University of Singapore
Xipeng Shen
Xipeng Shen North Carolina State University
Onur Mutlu
Onur Mutlu ETH Zurich
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Rui Zhang
Rui Zhang National University of Singapore
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Shamkant B. Navathe
Shamkant B. Navathe Georgia Institute of Technology
X. Sean Wang
X. Sean Wang Fudan University

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