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Computer Science

D-Index
45
Citations
10405
World Ranking
7103
National Ranking
944

Overview

Xiaodong Liu is affiliated with Dalian University of Technology in China. Their research predominantly lies within the domain of Computer Science and Engineering, with a particular emphasis on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, and Information Systems.

Their scholarly output includes numerous publications focused on various advanced topics. Key areas of work comprise:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Rough Sets and Fuzzy Logic
  • Fuzzy Logic and Control Systems
  • Time Series Analysis and Forecasting

Frequent venues for publication include:

  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • Expert Systems with Applications
  • IEEE Transactions on Cybernetics
  • 2022 41st Chinese Control Conference (CCC)

Among recent papers authored or co-authored by Xiaodong Liu are:

  • Very Deep Transformers for Neural Machine Translation, 2020, arXiv (Cornell University)
  • HittER: Hierarchical Transformers for Knowledge Graph Embeddings, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Fine-tuning large neural language models for biomedical natural language processing, 2023, Patterns
  • DeepSeek LLM: Scaling Open-Source Language Models with Longtermism, 2024, arXiv (Cornell University)
  • Analysis of Points of Interests Recommended for Leisure Walk Descriptions, 2025, arXiv (Cornell University)

Xiaodong Liu frequently collaborates with several other researchers. Their most regular co-authors include:

  • Jianfeng Gao
  • Qi Lang
  • Witold Pedrycz
  • Wei Lu
  • Lidong Wang

Best Publications

  • Multi-Task Deep Neural Networks for Natural Language Understanding

    Xiaodong Liu;Pengcheng He;Weizhu Chen;Jianfeng Gao

  • SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

    Haoming Jiang;Pengcheng He;Weizhu Chen;Xiaodong Liu

  • Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

    Hao Fu;Chunyuan Li;Xiaodong Liu;Jianfeng Gao

  • Approaches to quadratic stability conditions and H/sub /spl infin// control designs for T-S fuzzy systems

    Xiaodong Liu;Qingling Zhang

  • RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

    Bailin Wang;Richard Shin;Xiaodong Liu;Oleksandr Polozov

  • A Pearson’s correlation coefficient based decision tree and its parallel implementation

    Yashuang Mu;Xiaodong Liu;Lidong Wang

  • Stability Analysis for Neural Networks With Time-Varying Delay Based on Quadratic Convex Combination

    Huaguang Zhang;Feisheng Yang;Xiaodong Liu;Qingling Zhang

  • Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management

    Ye Li;Xiaodong Liu;Yan Chen

  • Using interval information granules to improve forecasting in fuzzy time series

    Wei Lu;Xueyan Chen;Witold Pedrycz;Witold Pedrycz;Witold Pedrycz;Xiaodong Liu

  • Concept analysis via rough set and AFS algebra

    Lidong Wang;Xiaodong Liu

  • The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering

    Wei Lu;Jianhua Yang;Xiaodong Liu;Witold Pedrycz

  • The modeling of time series based on fuzzy information granules

    Wei Lu;Witold Pedrycz;Witold Pedrycz;Xiaodong Liu;Jianhua Yang

  • Time series long-term forecasting model based on information granules and fuzzy clustering

    Weina Wang;Witold Pedrycz;Xiaodong Liu

  • Effective intervals determined by information granules to improve forecasting in fuzzy time series

    Lizhu Wang;Lizhu Wang;Xiaodong Liu;Witold Pedrycz

  • Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values

    Liyong Zhang;Wei Lu;Xiaodong Liu;Witold Pedrycz

  • A generalized method for forecasting based on fuzzy time series

    Wangren Qiu;Xiaodong Liu;Hailin Li

  • The fuzzy clustering analysis based on AFS theory

    Xiaodong Liu;Wei Wang;T. Chai

  • The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic

    Xiaodong Liu;Witold Pedrycz

  • Adaptive neuro-fuzzy algorithm to estimate effective wind speed and optimal rotor speed for variable-speed wind turbine

    Aamer Bilal Asghar;Xiaodong Liu

  • Fuzzy rule based decision trees

    Xianchang Wang;Xiaodong Liu;Witold Pedrycz;Lishi Zhang

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Zhihao Yang
Zhihao Yang Dalian University of Technology
Huaguang Zhang
Huaguang Zhang Northeastern University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Bin Jiang
Bin Jiang Nanjing University of Aeronautics and Astronautics
Tianyou Chai
Tianyou Chai Northeastern University
Yue Wang
Yue Wang Zhejiang University
Shaocheng Tong
Shaocheng Tong Liaoning University of Technology

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