World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
8245
World Ranking
3548
National Ranking
161

Overview

Wu-Sheng Lu is affiliated with the University of Victoria in Canada and has a research portfolio focused primarily on computer science, engineering, and mathematics. The body of their work includes 32 publications in computer science, 21 in engineering, and 13 in mathematics.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Numerical Analysis
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Key topics of Wu-Sheng Lu's work involve:

  • Advanced Optimization Algorithms Research
  • Privacy-Preserving Technologies in Data
  • Stochastic Gradient Optimization Techniques
  • Numerical Methods and Algorithms
  • Optimization and Variational Analysis
  • Matrix Theory and Algorithms
  • Iterative Methods for Nonlinear Equations

Their collaborative efforts include frequent coauthors such as A. Antoniou, Takao Hinamoto, Lei Zhao, Lin Cai, and Shishuai Li.

Wu-Sheng Lu's research has been published repeatedly in several key academic venues, including:

  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Construction and Building Materials
  • IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences

Examples of recent papers authored or coauthored by Wu-Sheng Lu include:

  • "Collaborative Learning of Different Types of Healthcare Data From Heterogeneous IoT Devices," 2023, IEEE Internet of Things Journal
  • "Federated Learning for Data Trading Portfolio Allocation With Autonomous Economic Agents," 2023, IEEE Transactions on Neural Networks and Learning Systems
  • "GPR image denoising based on unpaired data: Enhancing defect detection inside tunnels by TID-CycleGAN," 2025, Construction and Building Materials
  • "Transform-Domain Federated Learning for Edge-Enabled IoT Intelligence," 2022, IEEE Internet of Things Journal
  • "Tailored Federated Learning With Adaptive Central Acceleration on Diversified Global Models," 2024, IEEE Transactions on Neural Networks and Learning Systems

Wu-Sheng Lu has also contributed to book literature, including publishing a book titled Practical Optimization in 2021 with Springer International Publishing.

Best Publications

  • Practical Optimization: Algorithms and Engineering Applications

    Andreas Antoniou;Wu-Sheng Lu

  • Two-dimensional digital filters

    Wu-Sheng Lu;Andreas Antoniou

  • Impedance control with adaptation for robotic manipulations

    W.-S. Lu;Q.-H. Meng

  • Linear Interpolation in Pilot Symbol Assisted Channel Estimation for OFDM

    Xiaodai Dong;Wu-Sheng Lu;A.C.K. Soong

  • A weighted least-squares method for the design of stable 1-D and 2-D IIR digital filters

    Wu-Sheng Lu;Soo-Chang Pei;Chien-Cheng Tseng

  • Design of stable IIR digital filters with equiripple passbands and peak-constrained least-squares stopbands

    W.-S. Lu

  • Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition

    Weiheng Ni;Xiaodai Dong;Wu-Sheng Lu

  • An improved weighted least-squares design for variable fractional delay FIR filters

    Wu-Sheng Lu;Tian-Bo Deng

  • Stability analysis for two-dimensional systems via a Lyapunov approach

    Wu-Sheng Lu;E. Lee

  • A New Peak-to-Average Power-Ratio Reduction Algorithm for OFDM Systems via Constellation Extension

    Y.J. Kou;W.-S. Lu;A. Antoniou

  • On a Lyapunov approach to stability analysis of 2-D digital filters

    W.S. Lu

  • Efficient iterative design method for cosine-modulated QMF banks

    Hua Xu;Wu-Sheng Lu;A. Antoniou

  • A unified approach for the design of 2-D digital filters via semidefinite programming

    W.-S. Lu

  • Optimal design of frequency-response-masking filters using semidefinite programming

    Wu-Sheng Lu;T. Hinamoto

  • Optimal design of IIR digital filters with robust stability using conic-quadratic-programming updates

    Wu-Sheng Lu;T. Hinamoto

  • Measuring how far a controllable system is from an uncontrollable one

    D. Boley;Wu-Sheng Lu

  • A reduced-order adaptive velocity observer for manipulator control

    M. Erlic;W.-S. Lu

  • Synthesis of 2-D state-space fixed-point digital-filter structures with minimum roundoff noise

    Wu-Sheng Lu;A. Antoniou

  • Constrained minimum-BER multiuser detection

    Xiao Wang;Wu-Sheng Lu;A. Antomiou

  • Design of two-dimensional FIR digital filters by using the singular-value decomposition

    W.-S. Lu;H.-P. Wang;A. Antoniou

Frequent Co-Authors

Andreas Antoniou
Andreas Antoniou University of Victoria
Xiaodai Dong
Xiaodai Dong University of Victoria
Vijay K. Bhargava
Vijay K. Bhargava University of British Columbia
Tapio Saramaki
Tapio Saramaki Tampere University
Max Q.-H. Meng
Max Q.-H. Meng Southern University of Science and Technology

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