Leaderboards/Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jierun Chen
Snap (United States)
2
Tailin Liang
State Key Laboratory of Software Development Environment
3
Shihang Lu
Southern University of Science and Technology
4
Tze-Yang Tung
Nokia (United States)
5
Guangyao Chen
Cornell University
6
Jiechong Song
Peking University
7
Hongwei Zhang
Shanghai Jiao Tong University
8
Hengmin Zhang
Shanghai University
9
Bilal Alhayani
Yıldız Technical University
10
Xiaowan Hu
Beihang University

Rising Stars Papers

1
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges
IEEE Internet of Things Journal|2024
362 cit.
2
Random ISAC Signals Deserve Dedicated Precoding
IEEE Transactions on Signal Processing|2024
66 cit.
3
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework
Information Fusion|2024
26 cit.
4
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Proceedings of the AAAI Conference on Artificial Intelligence|2024
8 cit.
5
AdaSem: Adaptive Goal-Oriented Semantic Communications for End-to-End Camera Relocalization
Unknown Journal|2024
7 cit.
6
The Communication <scp>MIMO</scp> System for Performance of Thermal Noise, and Nonlinearity Losses of an <scp>RF</scp> Transceiver Phase Noise an <scp>RF</scp> in <scp>6G</scp>
Internet Technology Letters|2025
6 cit.
7
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology|2024
5 cit.
8
Optimal Precoding Toward Random ISAC Signals
IEEE Transactions on Vehicular Technology|2024
5 cit.
9
Multi-Level Reliability Interface for Semantic Communications Over Wireless Networks
IEEE Transactions on Communications|2025
5 cit.
10
Multiple mediation of the association between childhood emotional abuse and adult obesity by anxiety and bulimia – a sample from bariatric surgery candidates and healthy controls
BMC Public Health|2024
4 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Andriy Mnih
University of Toronto
2
Xuelong Li
China Telecom (China)
3
Xiaotong Zhang
University of Science and Technology Beijing
4
Debo Cheng
Hainan University
5
Wen-Ting Wu
Beijing Institute of Technology
6
Yu‐Bang Zheng
Southwest Jiaotong University
7
Xiyu Zhai
Massachusetts Institute of Technology
8
Martial Coulon
Université Toulouse III - Paul Sabatier
9
Praneeth Narayanamurthy
University of Southern California
10
Eunju Cha
Korea Advanced Institute of Science and Technology

Emerging Leaders Papers

1
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior
IEEE Transactions on Geoscience and Remote Sensing|2022
423 cit.
2
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Unknown Journal|2024
284 cit.
3
A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks
IEEE Transactions on Cybernetics|2022
179 cit.
4
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation
IEEE Transactions on Knowledge and Data Engineering|2022
142 cit.
5
Positive-Incentive Noise
IEEE Transactions on Neural Networks and Learning Systems|2022
128 cit.
6
Locating Multi-Sources in Social Networks With a Low Infection Rate
IEEE Transactions on Network Science and Engineering|2022
74 cit.
7
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss
IEEE Transactions on Image Processing|2022
73 cit.
8
Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors
Journal of Scientific Computing|2022
70 cit.
9
QKSAN: A Quantum Kernel Self-Attention Network
IEEE Transactions on Pattern Analysis and Machine Intelligence|2024
65 cit.
10
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
IEEE Transactions on Image Processing|2023
63 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Terence Tao
University of California, Los Angeles
2
Marc Teboulle
Tel Aviv University
3
Michael B. Wakin
Colorado School of Mines
4
Robert Tibshirani
Stanford University
5
Donald Geman
Johns Hopkins University
6
Richard G. Baraniuk
Rice University
7
Stephen Boyd
Stanford University
8
Rob Tibshirani
Stanford University
9
Michael A. Saunders
Tecplot (United States)
10
Michael Elad
Technion – Israel Institute of Technology

Current Senior Leaders Papers

1
Regression Shrinkage and Selection Via the Lasso
Journal of the Royal Statistical Society Series B (Statistical Methodology)|1996
51.8k cit.
2
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence|1984
18k cit.
3
Regularization Paths for Generalized Linear Models via Coordinate Descent
Journal of Statistical Software|2010
17.1k cit.
4
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Foundations and Trends® in Machine Learning|2011
16k cit.
5
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
IEEE Transactions on Information Theory|2006
15.8k cit.
6
Regularization Paths for Generalized Linear Models via Coordinate Descent.
PubMed|2010
14k cit.
7
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences|2009
12k cit.
8
Statistical significance for genomewide studies
Proceedings of the National Academy of Sciences|2003
10.1k cit.
9
An Introduction To Compressive Sampling
IEEE Signal Processing Magazine|2008
10k cit.
10
Least angle regression
The Annals of Statistics|2004
9.5k cit.

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