World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9346
World Ranking
7883
National Ranking
1036

Overview

Ke Xu is affiliated with Beihang University in China and has a research profile focused primarily on computer science, with a significant number of publications in artificial intelligence. Their work extends into several interdisciplinary subfields including molecular biology, materials chemistry, computer vision and pattern recognition, and sociology and political science.

The research topics Ke Xu covers include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Stock Market Forecasting Methods
  • Single-cell and Spatial Transcriptomics
  • Complex Systems and Time Series Analysis
  • Financial Markets and Investment Strategies

Ke Xu's publications span a range of recent papers, several of which have attracted multiple citations. Notable recent papers include:

  • "BERT Loses Patience: Fast and Robust Inference with Early Exit," 2020, published in arXiv (Cornell University)
  • "Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction," 2022, published in Knowledge-Based Systems
  • "Machine learning to predict aluminum segregation to magnesium grain boundaries," 2021, published in Scripta Materialia
  • "Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models," 2020, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Zn leaching reconstructs high-entropy hydroxyl oxides for efficient OER at large current density," 2024, published in Journal of Materials Chemistry A

The frequent coauthors in Ke Xu's research collaborations include:

  • Wangchunshu Zhou
  • Furu Wei
  • Tao Ge
  • Xuancheng Zhou
  • Hao Chi

Ke Xu has published multiple works in key venues that frequently feature their research. These include:

  • arXiv (Cornell University)
  • Frontiers in Immunology
  • Discover Oncology
  • Information Sciences
  • Highlights in Science Engineering and Technology

Best Publications

  • Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

    Li Dong;Furu Wei;Chuanqi Tan;Duyu Tang

  • Question Answering over Freebase with Multi-Column Convolutional Neural Networks

    Li Dong;Furu Wei;Ming Zhou;Ke Xu

  • MoodLens: an emoticon-based sentiment analysis system for chinese tweets

    Jichang Zhao;Li Dong;Junjie Wu;Ke Xu

  • The scaling of human mobility by taxis is exponential

    Xiao Liang;Xudong Zheng;Weifeng Lv;Tongyu Zhu

  • Anger Is More Influential than Joy: Sentiment Correlation in Weibo

    Rui Fan;Jichang Zhao;Yan Chen;Ke Xu

  • Word network topic model: a simple but general solution for short and imbalanced texts

    Yuan Zuo;Jichang Zhao;Ke Xu

  • Exact Phase Transitions in Random Constraint Satisfaction Problems

    Unknown

  • Online minimum matching in real-time spatial data: experiments and analysis

    Yongxin Tong;Jieying She;Bolin Ding;Lei Chen

  • BERT Loses Patience: Fast and Robust Inference with Early Exit

    Wangchunshu Zhou;Canwen Xu;Tao Ge;Julian J. McAuley

  • A Survey of Social-Aware Routing Protocols in Delay Tolerant Networks: Applications, Taxonomy and Design-Related Issues

    Kaimin Wei;Xiao Liang;Ke Xu

  • Topic Modeling of Short Texts: A Pseudo-Document View

    Yuan Zuo;Junjie Wu;Hui Zhang;Hao Lin

  • Random constraint satisfaction: Easy generation of hard (satisfiable) instances

    Unknown

  • Weak ties: Subtle role of information diffusion in online social networks

    Jichang Zhao;Junjie Wu;Ke Xu

  • Who creates Trends in Online Social Media: The Crowd or Opinion Leaders?

    Leihan Zhang;Jichang Zhao;Ke Xu

  • Visualizing and Understanding the Effectiveness of BERT.

    Yaru Hao;Li Dong;Furu Wei;Ke Xu

  • Learning to Generate Product Reviews from Attributes

    Li Dong;Shaohan Huang;Furu Wei;Mirella Lapata

  • A unified approach to route planning for shared mobility

    Yongxin Tong;Yuxiang Zeng;Zimu Zhou;Lei Chen

  • Self-Attention Attribution: Interpreting Information Interactions Inside Transformer

    Yaru Hao;Li Dong;Furu Wei;Ke Xu

  • Flexible online task assignment in real-time spatial data

    Yongxin Tong;Libin Wang;Zimu Zhou;Bolin Ding

  • Link prediction in complex networks: a clustering perspective

    Xu Feng;Jichang Zhao;Ke Xu

  • Trichromatic Online Matching in Real-Time Spatial Crowdsourcing

    Tianshu Song;Yongxin Tong;Libin Wang;Jieying She

  • Information propagation in online social networks: a tie-strength perspective

    Jichang Zhao;Junjie Wu;Xu Feng;Hui Xiong

Frequent Co-Authors

Furu Wei
Furu Wei Microsoft (United States)
Li Dong
Li Dong Microsoft (United States)
Yongxin Tong
Yongxin Tong Beihang University
Ming Zhou
Ming Zhou Langboat Technology
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Junjie Wu
Junjie Wu Beihang University
Julian McAuley
Julian McAuley University of California, San Diego
Song Guo
Song Guo Hong Kong University of Science and Technology
Zimu Zhou
Zimu Zhou City University of Hong Kong
Hui Zhang
Hui Zhang Carnegie Mellon University

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