World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
18646
World Ranking
5482
National Ranking
733

Overview

Kang Liu is affiliated with the Chinese Academy of Sciences in China. Their primary field of study is Computer Science, with a significant focus on Artificial Intelligence. Other areas of research include Computer Vision and Pattern Recognition, Information Systems, Paleontology, and Computer Networks and Communications.

The scientist's research spans several key topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Text and Document Classification Technologies
  • Advanced Text Analysis Techniques
  • Multimodal Machine Learning Applications
  • Explainable Artificial Intelligence (XAI)

Kang Liu has contributed to numerous publication venues, with the most frequent ones being:

  • arXiv (Cornell University)
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • IEEE Transactions on Audio Speech and Language Processing
  • Journal of Computer Science and Technology
  • SSRN Electronic Journal

Among the recent papers associated with their work are:

  • Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges, 2020, AI Open
  • A survey on neural relation extraction, 2020, Science China Technological Sciences

Kang Liu has collaborated frequently with several co-authors, including:

  • Jun Zhao
  • Yubo Chen
  • Shizhu He
  • Yuanzhe Zhang

In addition to journal articles, Kang Liu has published books, including one titled Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, published by Springer Science+Business Media in 2022.

Best Publications

  • Recurrent convolutional neural networks for text classification

    Siwei Lai;Liheng Xu;Kang Liu;Jun Zhao

  • Knowledge Graph Embedding via Dynamic Mapping Matrix

    Guoliang Ji;Shizhu He;Liheng Xu;Kang Liu

  • Relation Classification via Convolutional Deep Neural Network

    Daojian Zeng;Kang Liu;Siwei Lai;Guangyou Zhou

  • A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

    Unknown

  • Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks

    Daojian Zeng;Kang Liu;Yubo Chen;Jun Zhao

  • Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

    Yubo Chen;Liheng Xu;Kang Liu;Daojian Zeng

  • Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism

    Xiangrong Zeng;Daojian Zeng;Shizhu He;Kang Liu

  • Knowledge graph completion with adaptive sparse transfer matrix

    Guoliang Ji;Kang Liu;Shizhu He;Jun Zhao

  • How to Generate a Good Word Embedding

    Siwei Lai;Kang Liu;Shizhu He;Jun Zhao

  • Learning to Represent Knowledge Graphs with Gaussian Embedding

    Shizhu He;Kang Liu;Guoliang Ji;Jun Zhao

  • Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions

    Guoliang Ji;Kang Liu;Shizhu He;Jun Zhao

  • An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge

    Yanchao Hao;Yuanzhe Zhang;Kang Liu;Shizhu He

  • Event Extraction as Machine Reading Comprehension.

    Jian Liu;Yubo Chen;Kang Liu;Wei Bi

  • Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms

    Shulin Liu;Yubo Chen;Kang Liu;Jun Zhao

  • Inner Attention based Recurrent Neural Networks for Answer Selection

    Bingning Wang;Kang Liu;Jun Zhao

  • Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

    Pengfei Cao;Yubo Chen;Kang Liu;Jun Zhao

  • Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives

    Guangyou Zhou;Li Cai;Jun Zhao;Kang Liu

  • Opinion Target Extraction Using Word-Based Translation Model

    Kang Liu;Liheng Xu;Jun Zhao

  • Automatically Labeled Data Generation for Large Scale Event Extraction

    Yubo Chen;Shulin Liu;Xiang Zhang;Kang Liu

  • DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data

    Hang Yang;Yubo Chen;Kang Liu;Yang Xiao

  • Adding Redundant Features for CRFs-based Sentence Sentiment Classification

    Jun Zhao;Kang Liu;Gen Wang

Frequent Co-Authors

Jun Zhao
Jun Zhao Chinese Academy of Sciences
Yang Liu
Yang Liu Tsinghua University
Hua Wu
Hua Wu Baidu (China)
Qi Zhang
Qi Zhang Fudan University
Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Yulan He
Yulan He King's College London
Gerard de Melo
Gerard de Melo Hasso Plattner Institute
Xiapu Luo
Xiapu Luo Hong Kong Polytechnic University
Yansong Feng
Yansong Feng Peking University

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