World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5879
World Ranking
12065
National Ranking
160

Overview

Wei-Yun Yau is affiliated with the Institute for Infocomm Research in Singapore. Their research spans multiple domains within computer science and engineering, with a significant focus on robotics, sensor-based localization, and autonomous systems.

Their recent publications include the following papers:

  • Accurate IMU Factor Using Switched Linear Systems for VIO, 2020, IEEE Transactions on Industrial Electronics
  • Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing, 2023, Communications of the ACM
  • Cross-Entropy Regularized Policy Gradient for Multirobot Nonadversarial Moving Target Search, 2023, IEEE Transactions on Robotics
  • Trajectory Generation and Control of a Lower Limb Exoskeleton for Gait Assistance, 2022, Journal of Intelligent & Robotic Systems
  • PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search, 2022, IEEE Robotics and Automation Letters

They frequently co-author with the following researchers:

  • Hongliang Guo
  • Chee-Meng Chew
  • Daniela Rus
  • Jianle Chan
  • Albertus Hendrawan Adiwahono

Their work is often published in venues such as:

  • IEEE Robotics and Automation Letters
  • arXiv (Cornell University)
  • IEEE Transactions on Robotics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Transactions on Industrial Electronics

Wei-Yun Yau's main fields of study encompass:

  • Computer Science
  • Engineering

Within these fields, their research subfields include:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Biomedical Engineering

Their main topics of work focus on:

  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Distributed Control Multi-Agent Systems
  • Reinforcement Learning in Robotics
  • Autonomous Vehicle Technology and Safety
  • Advanced Vision and Imaging
  • Prosthetics and Rehabilitation Robotics

Best Publications

  • Fingerprint minutiae matching based on the local and global structures

    Xudong Jiang;Wei-Yun Yau

  • A perspective on medical infrared imaging

    L J Jiang;E Y K Ng;A C B Yeo;S Wu

  • Structured AutoEncoders for Subspace Clustering.

    Xi Peng;Jiashi Feng;Shijie Xiao;Wei-Yun Yau

  • Person recognition by fusing palmprint and palm vein images based on Laplacianpalm representation

    Jian-Gang Wang;Wei-Yun Yau;Andy Suwandy;Eric Sung

  • Fingerprint quality and validity analysis

    Eyung Lim;Xudong Jiang;Weiyun Yau

  • Detecting the fingerprint minutiae by adaptive tracing the gray-level ridge

    Xudong Jiang;Wei-Yun Yau;Wee Ser

  • Deep subspace clustering with sparsity prior

    Xi Peng;Shijie Xiao;Jiashi Feng;Wei-Yun Yau

  • Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning

    Seyedehsamaneh Shojaeilangari;Wei-Yun Yau;Karthik Nandakumar;Jun Li

  • Exploiting global and local decisions for multimodal biometrics verification

    K.-A. Toh;Xudong Jiang;Wei-Yun Yau

  • Fingerprint image quality analysis

    E. Lim;K.-A. Toh;P.N. Suganthan;X. Jiang

  • Boosting dense SIFT descriptors and shape contexts of face images for gender recognition

    Jian-Gang Wang;Jun Li;Wei-Yun Yau;Eric Sung

  • Combining singular points and orientation image information for fingerprint classification

    Jun Li;Wei-Yun Yau;Han Wang

  • Identity verification through palm vein and crease texture

    Kar-Ann Toh;How-Lung Eng;Yuen-Siong Choo;Yoon-Leon Cha

  • Human Action Recognition With Video Data: Research and Evaluation Challenges

    Manoj Ramanathan;Wei-Yun Yau;Eam Khwang Teoh

  • Constrained nonlinear models of fingerprint orientations with prediction

    Jun Li;Wei-Yun Yau;Han Wang

  • Multichannel Pulse-Coupled-Neural-Network-Based Color Image Segmentation for Object Detection

    Hualiang Zhuang;Kay-Soon Low;Wei-Yun Yau

  • An automatic drowning detection surveillance system for challenging outdoor pool environments

    Unknown

  • DEWS: A Live Visual Surveillance System for Early Drowning Detection at Pool

    How-Lung Eng;Kar-Ann Toh;Wei-Yun Yau;Junxian Wang

  • Combination of hyperbolic functions for multimodal biometrics data fusion

    K.-A. Toh;Wei-Yun Yau

  • Fusion of Palmprint and Palm Vein Images for Person Recognition Based on "Laplacianpalm" Feature

    Jian-Gang Wang;Wei-Yun Yau;A. Suwandy;E. Sung

  • Model-guided deformable hand shape recognition without positioning aids

    Wei Xiong;Kar-Ann Toh;Wei-Yun Yau;Xudong Jiang

  • A reduced multivariate polynomial model for multimodal biometrics and classifiers fusion

    K.-A. Toh;Wei-Yun Yau;Xudong Jiang

Frequent Co-Authors

Kar-Ann Toh
Kar-Ann Toh Yonsei University
Xudong Jiang
Xudong Jiang Nanyang Technological University
Kay Soon Low
Kay Soon Low National University of Singapore
Wee Ser
Wee Ser Nanyang Technological University
Xi Peng
Xi Peng Sichuan University
Jiashi Feng
Jiashi Feng ByteDance
Andrew Beng Jin Teoh
Andrew Beng Jin Teoh Yonsei University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Karthik Nandakumar
Karthik Nandakumar Michigan State University

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

For students interested in computer science, exploring alternative online degree options can open up a variety of career pathways. Many choose an associates degree online as a flexible and affordable starting point, potentially allowing for faster entry into the tech workforce.

Affordability is often a major concern. Thankfully, there are numerous affordable online colleges that offer reputable computer science programs, making it easier for students to access quality education without accumulating large amounts of debt.

Academic history shouldn’t be a barrier. Some online colleges that accept 2.0 gpa provide second chances for learners who struggled previously but are ready to pursue further education in technology fields.

Additionally, computer science knowledge is transferable to other sectors. If you’re considering options outside of pure tech roles, you may wonder, what can i do with an environmental science degree? Data analysis, software development, and information systems are just a few paths where computer science intersects with environmental impact—showing how versatile your education can be.

Best Scientists Citing Wei-Yun Yau

Trending Scientists

Recently Published Articles