World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
7004
World Ranking
13393
National Ranking
5361

Overview

Weiyu Xu is a researcher affiliated with the University of Iowa in the United States. Their work spans multiple areas within computer science and engineering, with a particular focus on interdisciplinary applications involving artificial intelligence and advanced computational techniques.

The main fields of study for Weiyu Xu include:

  • Computer Science
  • Engineering

Within these broad fields, their work frequently intersects with several subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Their research topics cover a range of specialized areas, notable for both theoretical and applied dimensions:

  • Sparse and Compressive Sensing Techniques
  • Adversarial Robustness in Machine Learning
  • Image and Signal Denoising Methods
  • SARS-CoV-2 Detection and Testing
  • Advanced Radiotherapy Techniques
  • Advanced Image Processing Techniques
  • Blind Source Separation Techniques

Weiyu Xu has contributed to several academic papers published in various venues. Notable recent works include:

  • "Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments," 2020, arXiv (Cornell University)
  • "Globally optimal OCT surface segmentation using a constrained IPM optimization," 2022, Optics Express
  • "Needle-free cervical cancer treatment using helical multishield intracavitary rotating shield brachytherapy with the 169Yb Isotope," 2020, Medical Physics
  • "Distributed Dual Coordinate Ascent in General Tree Networks and Communication Network Effect on Synchronous Machine Learning," 2021, IEEE Journal on Selected Areas in Communications
  • "Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery," 2020, IEEE Transactions on Information Theory

Their frequent publication venues reflect the interdisciplinary nature of their research, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • Medical Physics
  • Optics Express
  • IEEE Journal on Selected Areas in Communications

Weiyu Xu frequently collaborates with other researchers. Among their frequent coauthors are:

  • Jirong Yi
  • Raghu Mudumbai
  • Xiaodong Wu
  • Myung Cho
  • Lifeng Lai

Best Publications

  • Compressed sensing : theory and applications

    Yonina C. Eldar;Gitta Kutyniok

  • Efficient and Robust Compressed Sensing Using Optimized Expander Graphs

    S. Jafarpour;Weiyu Xu;B. Hassibi;R. Calderbank

  • Weighted ℓ 1 minimization for sparse recovery with prior information

    M. Amin Khajehnejad;Weiyu Xu;A. Salman Avestimehr;Babak Hassibi

  • Efficient Compressive Sensing with Deterministic Guarantees Using Expander Graphs

    Weiyu Xu;B. Hassibi

  • Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization

    B. Recht;Weiyu Xu;B. Hassibi

  • Null space conditions and thresholds for rank minimization

    Benjamin Recht;Weiyu Xu;Babak Hassibi

  • Sparse Recovery of Nonnegative Signals With Minimal Expansion

    M A Khajehnejad;Alexandros G Dimakis;Weiyu Xu;Babak Hassibi

  • Compressive sensing over graphs

    Weiyu Xu;Enrique Mallada;Ao Tang

  • Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI

    Tian Liu;Weiyu Xu;P. Spincemaille;A. S. Avestimehr

  • Analyzing Weighted $ll_1$ Minimization for Sparse Recovery With Nonuniform Sparse Models

    M A Khajehnejad;Weiyu Xu;A S Avestimehr;B Hassibi

  • A Unique “Nonnegative” Solution to an Underdetermined System: From Vectors to Matrices

    Meng Wang;Weiyu Xu;Ao Tang

  • Compressed sensing over the Grassmann manifold: A unified analytical framework

    Weiyu Xu;B. Hassibi

  • Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies

    Weiyu Xu;Jian-Feng Cai;Kumar Vijay Mishra;Myung Cho

  • Compressed sensing - probabilistic analysis of a null-space characterization

    M. Stojnic;Weiyu Xu;B. Hassibi

  • Spectral Super-Resolution With Prior Knowledge

    Kumar Vijay Mishra;Myung Cho;Anton Kruger;Weiyu Xu

  • Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction.

    Jian-Feng Cai;Xiaobo Qu;Weiyu Xu;Gui-Bo Ye

  • On the Performance of Sparse Recovery Via $ll_p$ -Minimization $(0 \leq p \leq 1)$

    Meng Wang;Weiyu Xu;Ao Tang

  • Near-Optimal Detection in MIMO Systems Using Gibbs Sampling

    Morten Hansen;Babak Hassibi;Alexandros G. Dimakis;Weiyu Xu

  • Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks

    Weiyu Xu;Meng Wang;Jian-Feng Cai;Ao Tang

  • A computationally efficient exact ML sphere decoder

    Weiyu Xu;Youzheng Wang;Zucheng Zhou;Jing Wang

  • Optimized Markov Chain Monte Carlo for Signal Detection in MIMO Systems: An Analysis of the Stationary Distribution and Mixing Time

    Babak Hassibi;Morten Hansen;Alexandros G. Dimakis;Haider Ali Jasim Alshamary

  • Guarantees of total variation minimization for signal recovery

    Jian-Feng Cai;Weiyu Xu

  • Analyzing Weighted $ll_1$ Minimization for Sparse Recovery with Nonuniform Sparse Models ootnote{The results of this paper were presented in part at the International Symposium on Information Theory, ISIT 2009}

    M. Amin Khajehnejad;Weiyu Xu;Amir Salman Avestimehr;Babak Hassibi

Frequent Co-Authors

Babak Hassibi
Babak Hassibi California Institute of Technology
Jian-Feng Cai
Jian-Feng Cai Hong Kong University of Science and Technology
Lifeng Lai
Lifeng Lai University of California, Davis
A. Salman Avestimehr
A. Salman Avestimehr University of Southern California
Er-Wei Bai
Er-Wei Bai University of Iowa
Tareq Y. Al-Naffouri
Tareq Y. Al-Naffouri King Abdullah University of Science and Technology
Soura Dasgupta
Soura Dasgupta University of Iowa
Alexandros G. Dimakis
Alexandros G. Dimakis The University of Texas at Austin
Benjamin Recht
Benjamin Recht University of California, Berkeley
Wenwu Zhu
Wenwu Zhu Tsinghua 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

Considering a Computer Science degree in the USA opens up many related online degree options and diverse career pathways. For learners interested in technology and sustainable practices, it’s worth exploring what can you get with an environmental science degree. This path connects technology with environmental problem-solving and can lead to roles in data analysis, conservation, or sustainability management.

For those seeking a faster route to graduation, an accelerated computer science degree can offer a quicker way to enter the tech workforce. These programs are designed for motivated students and often provide flexible learning schedules.

Engineering fields are also a great match for Computer Science skills. Options like an online environmental engineer degree online or a mechanical engineering degree online cost can enhance your technical abilities and employability. These degrees are both practical and often more affordable than traditional on-campus programs, making them appealing for students on a budget or those needing flexibility.

Best Scientists Citing Weiyu Xu

Trending Scientists