World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
12223
World Ranking
4543
National Ranking
604

Overview

Yangqiu Song is affiliated with the Hong Kong University of Science and Technology in China. Their primary field of study is Computer Science, with a strong focus on Artificial Intelligence. Research subfields include Computer Vision and Pattern Recognition, Management Science and Operations Research, Statistical and Nonlinear Physics, and Information Systems.

The scientist's work covers several main research topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Semantic Web and Ontologies
  • Complex Network Analysis Techniques
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques

Yangqiu Song has published extensively, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Knowledge Discovery from Data
  • Frontiers of Computer Science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Artificial Intelligence

Recent papers illustrate the scope and themes of research exploration:

  • "Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks" (2021), ACM Transactions on Knowledge Discovery from Data
  • "Event detection and evolution in multi-lingual social streams" (2020), Frontiers of Computer Science
  • "ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations" (2023), arXiv (Cornell University)
  • "Fair Representation Learning for Heterogeneous Information Networks" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching" (2022), Proceedings of the AAAI Conference on Artificial Intelligence

Yangqiu Song frequently collaborates with a group of coauthors, including:

  • Tianqing Fang
  • Weiqi Wang
  • Hongming Zhang
  • Jiaxin Bai
  • Chunkit Chan

The scientist's research touches on multiple aspects of artificial intelligence, particularly focusing on the development and application of novel machine learning techniques to complex data structures such as heterogeneous information networks and social streams. Their contributions include work on graph neural networks, semantic web technologies, and large-scale event detection in multi-lingual contexts.

Best Publications

  • Parallel Spectral Clustering in Distributed Systems

    Wen-Yen Chen;Yangqiu Song;Hongjie Bai;Chih-Jen Lin

  • Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks

    Huan Zhao;Quanming Yao;Jianda Li;Yangqiu Song

  • TextFlow: Towards Better Understanding of Evolving Topics in Text

    Weiwei Cui;Shixia Liu;Li Tan;Conglei Shi

  • Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN

    Hao Peng;Jianxin Li;Yu He;Yaopeng Liu

  • TIARA: a visual exploratory text analytic system

    Furu Wei;Shixia Liu;Yangqiu Song;Shimei Pan

  • MetaGAN: an adversarial approach to few-shot learning

    Ruixiang Zhang;Tong Che;Zoubin Ghahramani;Yoshua Bengio

  • KBQA: learning question answering over QA corpora and knowledge bases

    Wanyun Cui;Yanghua Xiao;Haixun Wang;Yangqiu Song

  • Short text conceptualization using a probabilistic knowledgebase

    Yangqiu Song;Haixun Wang;Zhongyuan Wang;Hongsong Li

  • Multilingual and Multi-Aspect Hate Speech Analysis

    Nedjma Ousidhoum;Zizheng Lin;Hongming Zhang;Yangqiu Song

  • HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network

    Shifu Hou;Yanfang Ye;Yangqiu Song;Melih Abdulhayoglu

  • Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

    Tong Che;Yanran Li;Ruixiang Zhang;R Devon Hjelm

  • Semi-Supervised Multi-label Learning by Solving a Sylvester Equation

    Gang Chen;Yangqiu Song;Fei Wang;Changshui Zhang

  • A unified framework for semi-supervised dimensionality reduction

    Yangqiu Song;Feiping Nie;Changshui Zhang;Shiming Xiang

  • Understanding Hidden Memories of Recurrent Neural Networks

    Yao Ming;Shaozu Cao;Ruixiang Zhang;Zhen Li

  • TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis

    Shixia Liu;Michelle X. Zhou;Shimei Pan;Yangqiu Song

  • Scalable Multiplex Network Embedding

    Hongming Zhang;Liwei Qiu;Lingling Yi;Yangqiu Song

  • Automatic taxonomy construction from keywords

    Xueqing Liu;Yangqiu Song;Shixia Liu;Haixun Wang

  • Transferred Dimensionality Reduction

    Zheng Wang;Yangqiu Song;Changshui Zhang

  • Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision

    Hongliang Dai;Yangqiu Song

  • Transitive Transfer Learning

    Ben Tan;Yangqiu Song;Erheng Zhong;Qiang Yang

Frequent Co-Authors

Changshui Zhang
Changshui Zhang Tsinghua University
Dan Roth
Dan Roth University of Pennsylvania
Shixia Liu
Shixia Liu Tsinghua University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Jianxin Li
Jianxin Li Tianjin Polytechnic University
Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Haixun Wang
Haixun Wang Instacart
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Weihong Qian
Weihong Qian Peking University

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