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Mathematics

D-Index
33
Citations
5334
World Ranking
3026
National Ranking
1221

Overview

Weiqiang Wang is a researcher affiliated with the University of Virginia in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Ocean Engineering. They have contributed extensively to subfields such as Media Technology and Applied Mathematics.

Their publication record includes research on a variety of topics related to advanced neural network applications, domain adaptation and few-shot learning, as well as multimodal machine learning applications. Wang has also investigated subjects within maritime navigation and safety, ship hydrodynamics and maneuverability, handwritten text recognition techniques, and remote-sensing image classification.

Some of their recent papers include the following:

  • "GraFormer: Graph-oriented Transformer for 3D Pose Estimation," 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Conflict detection method based on dynamic ship domain model for visualization of collision risk Hot-Spots," 2021, published in Ocean Engineering
  • "DBRANet: Road Extraction by Dual-Branch Encoder and Regional Attention Decoder," 2021, published in IEEE Geoscience and Remote Sensing Letters
  • "DenseNet-Based Land Cover Classification Network With Deep Fusion," 2021, published in IEEE Geoscience and Remote Sensing Letters
  • "Hall algebras and quantum symmetric pairs I: Foundations," 2022, published in Proceedings of the London Mathematical Society

Wang frequently collaborates with several coauthors, including Kezhong Liu, Xiaolie Wu, Huijia Zhu, Jun Lan, and Lianlei Shan. This network of collaborators has contributed to a consistent output of publications.

The venues where Wang commonly publishes reflect the interdisciplinary nature of their work. These include arXiv (Cornell University), Ocean Engineering, IEEE Transactions on Geoscience and Remote Sensing, Proceedings of the AAAI Conference on Artificial Intelligence, and IEEE Transactions on Circuits and Systems for Video Technology.

Best Publications

  • Rationality of Virasoro vertex operator algebras

    Weiqiang Wang

  • Dualities and Representations of Lie Superalgebras

    Shun-Jen Cheng;Weiqiang Wang

  • with central charge N

    Edward Frenkel;Victor Kac;Andrey Radul;Weiqiang Wang

  • A New Approach to Kazhdan-lusztig Theory of Type $b$ Via Quantum Symmetric Pairs

    Huanchen Bao;Weiqiang Wang

  • Vertex Operator Superalgebras and Their Representations

    Victor G. Kac;Weiqiang Wang

  • Canonical bases arising from quantum symmetric pairs

    Huanchen Bao;Weiqiang Wang

  • Vertex algebras and the cohomology ring structure of Hilbert schemes of points on surfaces

    Wei Ping Li;Zhenbo Qin;Weiqiang Wang

  • W_1+∞ and W(gl_N) with central charge N

    E. Frenkel;V. Kac;A. Radul;W. Wang

  • Quasifinite Representations of Classical Lie Subalgebras of W1

    Victor G Kac;Weiqiang Wang;Catherine H Yan

  • Super duality and irreducible characters of ortho-symplectic Lie superalgebras

    Shun Jen Cheng;Ngau Lam;Weiqiang Wang

  • Howe Duality for Lie Superalgebras

    Shun-Jen Cheng;Weiqiang Wang

  • Representations of Lie superalgebras in prime characteristic I

    Weiqiang Wang;Lei Zhao

  • Algebra, Algebra, and Friedan–Martinec–Shenker Bosonization

    Weiqiang Wang

  • Graded Specht modules

    Jonathan Brundan;Alexander Kleshchev;Weiqiang Wang

  • Super duality and Kazhdan-Lusztig polynomials

    Shun-Jen Cheng;Weiqiang Wang;R. B. Zhang

  • The brundan-kazhdan-lusztig conjecture for general linear lie superalgebras

    Shun Jen Cheng;Ngau Lam;Weiqiang Wang

  • Vertex representations via finite groups and the McKay correspondence

    Igor B. Frenkel;Naihuan Jing;Weiqiang Wang

  • Geometric Schur Duality of Classical Type

    Huanchen Bao;Huanchen Bao;Jonathan Kujawa;Yiqiang Li;Weiqiang Wang

  • DUALITY IN INFINITE DIMENSIONAL FOCK REPRESENTATIONS

    Weiqiang Wang

  • Modular representations of the ortho-symplectic supergroups

    Bin Shu;Weiqiang Wang

  • Graded Specht modules

    Jonathan Brundan;Alexander Kleshchev;Weiqiang Wang

Frequent Co-Authors

Igor B. Frenkel
Igor B. Frenkel Yale University
Edward Frenkel
Edward Frenkel University of California, Berkeley
Ruibin Zhang
Ruibin Zhang University of Sydney
Alexander Kleshchev
Alexander Kleshchev University of Oregon
Jonathan Brundan
Jonathan Brundan University of Oregon
Brian Parshall
Brian Parshall University of Virginia
Volodymyr Mazorchuk
Volodymyr Mazorchuk Uppsala University

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