World's Best Scientists 2026 revealed!

Overview

Suya You is affiliated with the University of Southern California in the United States and has contributed extensively to computer science research, with a strong focus on artificial intelligence and computer vision.

Their research spans multiple subfields within computer science, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Radiology, Nuclear Medicine and Imaging
  • Computational Mechanics

Core topics covered in their work consist of:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Quantum Computing Algorithms and Architecture
  • Machine Learning and Data Classification

Recent notable publications include:

  • SimMatch: Semi-supervised Learning with Similarity Matching, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Quantum circuit architecture search for variational quantum algorithms, 2022, npj Quantum Information
  • Knowledge Distillation from A Stronger Teacher, 2022, arXiv (Cornell University)
  • Learnability of Quantum Neural Networks, 2021, PRX Quantum
  • ReSSL: Relational Self-Supervised Learning with Weak Augmentation, 2021, arXiv (Cornell University)

Suya You frequently collaborates with a range of researchers, including:

  • Chang Xu
  • Fei Wang
  • Chen Qian
  • Xiu Su
  • Qian Chen

Their work appears regularly in several publication venues, such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • PRX Quantum

Suya You's publication record demonstrates engagement with theoretical and applied aspects of machine learning, quantum algorithms, and image processing. Their contributions include advancements in semi-supervised learning frameworks, knowledge distillation techniques, and quantum neural networks architecture and learnability.

Best Publications

  • Modeling and video projection for augmented virtual environments

    Ulrich Neumann;Suya You

  • Hybrid inertial and vision tracking for augmented reality registration

    Suya You;U. Neumann;R. Azuma

  • Fusion of vision and gyro tracking for robust augmented reality registration

    S. You;U. Neumann

  • Point cloud labeling using 3D Convolutional Neural Network

    Jing Huang;Suya You

  • Natural feature tracking for augmented reality

    U. Neumann;S. You

  • Augmented-reality tool employing scen e-feature autocalibration during camera motion

    Ulrich Neumann;Suya You

  • Approaches to large-scale urban modeling

    Jinhui Hu;Suya You;U. Neumann

  • Learning to Prune Filters in Convolutional Neural Networks

    Qiangui Huang;Kevin Zhou;Suya You;Ulrich Neumann

  • Orientation tracking for outdoor augmented reality registration

    S. You;U. Neumann;R. Azuma

  • Delineation and geometric modeling of road networks

    Charalambos Poullis;Suya You

  • Wide-baseline image matching using Line Signatures

    Lu Wang;Ulrich Neumann;Suya You

  • Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks

    Weiyue Wang;Qiangui Huang;Suya You;Chao Yang

  • 3D video surveillance with Augmented Virtual Environments

    Ismail Oner Sebe;Jinhui Hu;Suya You;Ulrich Neumann

  • A robust hybrid tracking system for outdoor augmented reality

    B. Jiang;U. Neumann;Suya You

  • Augmented virtual environments (AVE): dynamic fusion of imagery and 3D models

    U. Neumann;Suya You;Jinhui Hu;Bolan Jiang

  • Urban site modeling from LiDAR

    Suya You;Jinhui Hu;Ulrich Neumann;Pamela Fox

  • Tracking in unprepared environments for augmented reality systems

    Ronald T. Azuma;Jong Weon Lee;Bolan Jiang;Jun Park

  • Automatic reconstruction of cities from remote sensor data

    Charalambos Poullis;Suya You

  • Feature matching method

    Yuichiro Akatsuka;Takao Shibasaki;Yukihito Furuhashi;Kazuo Ono

  • Three-dimensional point processing and model generation

    Ulrich Neumann;Suya You;Rongqi Qiu;Guan Pang

Frequent Co-Authors

Ulrich Neumann
Ulrich Neumann University of Southern California
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Jing Huang
Jing Huang Peking University
Ronald Azuma
Ronald Azuma Intel (United States)
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Cyrus Shahabi
Cyrus Shahabi University of Southern California
Lichan Hong
Lichan Hong Google (United States)
Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Greg Welch
Greg Welch University of Central Florida
Mark Billinghurst
Mark Billinghurst University of South Australia

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can open up a range of new possibilities for aspiring Computer Science students in the USA. For those concerned about previous academic performance, there are many universities for low gpa that offer flexible entry requirements, making computer science studies more accessible than ever.

If you’re seeking a fast-paced option, a fast track computer science degree can help you complete your studies in less time than traditional on-campus programs. Accelerated degrees are ideal for motivated learners or working professionals looking to quickly advance their careers.

Computer Science graduates can also consider interdisciplinary career paths. For example, those interested in sustainability or education may find diverse opportunities in jobs with elementary education and environmental science degree. This combination can lead to roles focused on technology in education or environmental solutions.

If you are passionate about solving ecological challenges, pursuing an environmental engineering degree online is a cost-effective way to combine computing skills with environmental expertise.

Best Scientists Citing Suya You

Trending Scientists

Recently Published Articles