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Computer Science

D-Index
54
Citations
13820
World Ranking
4503
National Ranking
2106

Overview

Kuansan Wang is a researcher affiliated with Microsoft in the United States. Their scholarly work spans multiple fields of study, primarily in computer science and decision sciences, with a focus on subfields such as artificial intelligence, sociology and political science, statistics, probability and uncertainty, management science and operations research, and information systems.

Their research addresses several key topics, including:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Scientometrics and Bibliometrics Research
  • Data Quality and Management
  • Semantic Web and Ontologies
  • Text and Document Classification Technologies
  • Misinformation and Its Impacts

Kuansan Wang has contributed to various publication venues. Frequently published venues include:

  • arXiv (Cornell University)
  • AI Magazine
  • IEEE Transactions on Knowledge and Data Engineering
  • Frontiers in Research Metrics and Analytics
  • SSRN Electronic Journal

Some recent papers authored or coauthored by Kuansan Wang are:

  • Microsoft Academic Graph: When experts are not enough, 2020, Quantitative Science Studies
  • CORD-19: The COVID-19 Open Research Dataset, 2020, PubMed (authored by Lucy Lu Wang but included among recent relevant works)
  • Public use and public funding of science, 2022, Nature Human Behaviour (authored by Yian Yin and related in the dataset)
  • GPT-GNN: Generative Pre-Training of Graph Neural Networks, 2020, arXiv (Cornell University) (authored by Ziniu Hu but relevant in the dataset)
  • Knowledge graphs: Introduction, history, and perspectives, 2022, AI Magazine (authored by Vinay K. Chaudhri appearing in recent publications)

Frequent collaborators include:

  • Yuxiao Dong
  • Z. Shen
  • Chieh-Han Wu
  • Dashun Wang
  • Benjamin F. Jones

Kuansan Wang's contributions exhibit a multidisciplinary approach, integrating advanced computational methods with studies in science metrics and data management. This combination spans practical applications in artificial intelligence such as graph neural networks and foundational aspects of semantic technologies and bibliometric research.

Best Publications

  • GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

    Jiezhong Qiu;Qibin Chen;Yuxiao Dong;Jing Zhang

  • Heterogeneous Graph Transformer

    Ziniu Hu;Yuxiao Dong;Kuansan Wang;Yizhou Sun

  • An Overview of Microsoft Academic Service (MAS) and Applications

    Arnab Sinha;Zhihong Shen;Yang Song;Hao Ma

  • Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

    Jiezhong Qiu;Yuxiao Dong;Hao Ma;Jian Li

  • CORD-19: The Covid-19 Open Research Dataset

    Lucy Lu Wang;Kyle Lo;Yoganand Chandrasekhar;Russell Reas

  • Auditory representations of acoustic signals

    X. Yang;K. Wang;S.A. Shamma

  • DeepInf: Social Influence Prediction with Deep Learning

    Jiezhong Qiu;Jian Tang;Hao Ma;Yuxiao Dong

  • GPT-GNN: Generative Pre-Training of Graph Neural Networks

    Ziniu Hu;Yuxiao Dong;Kuansan Wang;Kai-Wei Chang

  • Microsoft Academic Graph: When experts are not enough

    Kuansan Wang;Zhihong Shen;Chiyuan Huang;Chieh-Han Wu

  • Semantic object synchronous understanding implemented with speech application language tags

    Kuansan Wang

  • Semantic object synchronous understanding for highly interactive interface

    Kuansan Wang

  • Digital voice profiles

    David Milstein;Kuansan Wang;Linda Criddle

  • NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

    Jiezhong Qiu;Yuxiao Dong;Hao Ma;Jian Li

  • Transcribing speech data with dialog context and/or recognition alternative information

    Yun-Cheng Ju;Kuansan Wang;Siddharth Bhatia

  • Spectral shape analysis in the central auditory system

    Kuansan Wang;S.A. Shamma

  • Self-normalization and noise-robustness in early auditory representations

    Kuansan Wang;S. Shamma

  • ERD'14: entity recognition and disambiguation challenge

    David Carmel;Ming-Wei Chang;Evgeniy Gabrilovich;Bo-June (Paul) Hsu

  • A Review of Microsoft Academic Services for Science of Science Studies.

    Kuansan Wang;Zhihong Shen;Chiyuan Huang;Chieh-Han Wu

  • Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance

    Yang Song;Hao Ma;Hongning Wang;Kuansan Wang

  • An Overview of Microsoft Web N-gram Corpus and Applications

    Kuansan Wang;Chris Thrasher;Evelyne Viegas;Xiaolong Li

Frequent Co-Authors

Yuxiao Dong
Yuxiao Dong Tsinghua University
Hao Ma
Hao Ma Facebook (United States)
Jie Tang
Jie Tang Tsinghua University
Alejandro Acero
Alejandro Acero Apple (United States)
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Li Deng
Li Deng Citadel
Yizhou Sun
Yizhou Sun University of California, Los Angeles
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Feng Xia
Feng Xia RMIT University

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