World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
94
Citations
41155
World Ranking
479
National Ranking
64

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2020 - Member of Academia Europaea

Overview

Maosong Sun is affiliated with Tsinghua University in China and has an extensive publication record in computer science, with a focus on artificial intelligence and related subfields. Their body of research includes significant contributions to natural language processing, graph neural networks, and multimodal machine learning applications.

Among their recent papers are:

  • Graph neural networks: A review of methods and applications (2020, AI Open)
  • Parameter-efficient fine-tuning of large-scale pre-trained language models (2023, Nature Machine Intelligence)
  • PTR: Prompt Tuning with Rules for Text Classification (2022, AI Open)
  • Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics [Volume 1: Long Papers])
  • Lawformer: A pre-trained language model for Chinese legal long documents (2021, AI Open)

Their frequent coauthors include:

  • Zhiyuan Liu
  • Yankai Lin
  • Zhengyan Zhang
  • Chaojun Xiao
  • Fanchao Qi

Maosong Sun's work is published in a range of venues, with the most frequent being:

  • arXiv (Cornell University)
  • AI Open
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

They have contributed to book publications as well, including titles released by:

  • Springer Science+Business Media, with books titled Chinese Computational Linguistics (2020 and 2022)
  • Morgan & Claypool Publishers, with books titled Network Embedding and Network Embedding: Theories, Methods, and Applications (both 2021)

Their main field of study is computer science, with a substantial number of publications in artificial intelligence. Subfields of their research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems
  • Statistical and Nonlinear Physics

Key research topics covered in Maosong Sun's work are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis
  • Advanced Graph Neural Networks
  • Music and Audio Processing
  • Music Technology and Sound Studies

Maosong Sun was recognized as a Member of Academia Europaea in 2020.

Best Publications

  • Graph Neural Networks: A Review of Methods and Applications

    Jie Zhou;Ganqu Cui;Shengding Hu;Zhengyan Zhang

  • Learning entity and relation embeddings for knowledge graph completion

    Yankai Lin;Zhiyuan Liu;Maosong Sun;Yang Liu

  • ERNIE: Enhanced Language Representation with Informative Entities

    Zhengyan Zhang;Xu Han;Zhiyuan Liu;Xin Jiang

  • Neural Relation Extraction with Selective Attention over Instances

    Yankai Lin;Shiqi Shen;Zhiyuan Liu;Huanbo Luan

  • Network representation learning with rich text information

    Cheng Yang;Zhiyuan Liu;Deli Zhao;Maosong Sun

  • Parameter-efficient fine-tuning of large-scale pre-trained language models

    Unknown

  • Representation learning of knowledge graphs with entity descriptions

    Ruobing Xie;Zhiyuan Liu;Jia Jia;Huanbo Luan

  • PTR: Prompt Tuning with Rules for Text Classification

    Unknown

  • Modeling Relation Paths for Representation Learning of Knowledge Bases

    Yankai Lin;Zhiyuan Liu;Huanbo Luan;Maosong Sun

  • FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation.

    Xu Han;Hao Zhu;Pengfei Yu;Ziyun Wang

  • Topical word embeddings

    Yang Liu;Zhiyuan Liu;Tat-Seng Chua;Maosong Sun

  • DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

    Yuan Yao;Deming Ye;Peng Li;Xu Han

  • Word-level Textual Adversarial Attacking as Combinatorial Optimization

    Yuan Zang;Fanchao Qi;Chenghao Yang;Zhiyuan Liu

  • Minimum Risk Training for Neural Machine Translation

    Shiqi Shen;Yong Cheng;Zhongjun He;Wei He

  • Automatic Keyphrase Extraction via Topic Decomposition

    Zhiyuan Liu;Wenyi Huang;Yabin Zheng;Maosong Sun

  • A Unified Model for Word Sense Representation and Disambiguation

    Xinxiong Chen;Zhiyuan Liu;Maosong Sun

  • Clustering to Find Exemplar Terms for Keyphrase Extraction

    Zhiyuan Liu;Peng Li;Yabin Zheng;Maosong Sun

  • Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

    Tianyu Gao;Xu Han;Zhiyuan Liu;Maosong Sun

  • Neural Sentiment Classification with User and Product Attention

    Huimin Chen;Maosong Sun;Cunchao Tu;Yankai Lin

  • OpenKE: An Open Toolkit for Knowledge Embedding

    Xu Han;Shulin Cao;Xin Lv;Yankai Lin

  • Iterative entity alignment via joint knowledge embeddings

    Hao Zhu;Ruobing Xie;Zhiyuan Liu;Maosong Sun

  • Joint learning of character and word embeddings

    Xinxiong Chen;Lei Xu;Zhiyuan Liu;Maosong Sun

Frequent Co-Authors

Zhiyuan Liu
Zhiyuan Liu Tsinghua University
Yang Liu
Yang Liu Tsinghua University
Qun Liu
Qun Liu Huawei Technologies (China)
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Hua Wu
Hua Wu Baidu (China)
Juanzi Li
Juanzi Li Tsinghua University
Jian Tang
Jian Tang Syracuse University
Jie Tang
Jie Tang Tsinghua University
Xiangnan He
Xiangnan He University of Science and Technology of China
Fuli Feng
Fuli Feng University of Science and Technology of China

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