What is he best known for?
The fields of study Wenjun Zeng is best known for:
- Linear programming
- Matrix completion
- Mathematical optimization
A significant part of his Gaussian research incorporates Gaussian process and Matrix completion studies.
Many of his studies on Matrix completion involve topics that are commonly interrelated, such as Gaussian.
Many of his studies involve connections with topics such as Estimator and Outlier and Statistics.
His work often combines Estimator and Statistics studies.
In his research, he performs multidisciplinary study on Algorithm and Applied mathematics.
He merges many fields, such as Applied mathematics and Quantum mechanics, in his writings.
His study ties his expertise on Gaussian process together with the subject of Quantum mechanics.
His study in Radar extends to Telecommunications with its themes.
In his works, he conducts interdisciplinary research on Radar and Beamforming.
His most cited work include:
- $\ell _{p}$-MUSIC: Robust Direction-of-Arrival Estimator for Impulsive Noise Environments (108 citations)
- Outlier-Robust Greedy Pursuit Algorithms in <formula formulatype="inline"><tex Notation="TeX">$\ell _{p}$</tex> </formula>-Space for Sparse Approximation (53 citations)
- Outlier-Robust Matrix Completion via $\ell _p$ -Minimization (51 citations)
What are the main themes of his work throughout his whole career to date
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition (psychology), Subspace topology and Image (mathematics).
His research on Image (mathematics) frequently connects to adjacent areas such as Artificial intelligence.
He undertakes interdisciplinary study in the fields of Algorithm and Programming language through his works.
In his works, he performs multidisciplinary study on Programming language and Algorithm.
His work on Telecommunications is being expanded to include thematically relevant topics such as Beamforming.
His study on Mathematical optimization is mostly dedicated to connecting different topics, such as Minification.
His work in Quantum mechanics is not limited to one particular discipline; it also encompasses Gaussian.
Many of his studies on Gaussian apply to Quantum mechanics as well.
His Multipath propagation research extends to the thematically linked field of Channel (broadcasting).
Wenjun Zeng most often published in these fields:
- Algorithm (75.00%)
- Telecommunications (46.43%)
- Artificial intelligence (46.43%)
What were the highlights of his more recent work (between 2019-2021)?
- Quantum mechanics (66.67%)
- Algorithm (66.67%)
- Computer security (66.67%)
In recent works Wenjun Zeng was focusing on the following fields of study:
His work on Quantum mechanics is being expanded to include thematically relevant topics such as Phase (matter) and Scale (ratio).
Phase (matter) and Quantum mechanics are commonly linked in his work.
His Algorithm study frequently draws parallels with other fields, such as Coordinate descent and Divide and conquer algorithms.
In most of his Coordinate descent studies, his work intersects topics such as Algorithm.
Computer security is intertwined with Exploit and Key (lock) in his research.
Key (lock) is closely attributed to Computer security in his research.
His Artificial intelligence study frequently draws connections between related disciplines such as Image resolution.
His Pattern recognition (psychology) study frequently intersects with other fields, such as Object detection.
His Feature (linguistics) research extends to Linguistics, which is thematically connected.
Between 2019 and 2021, his most popular works were:
- Multi-Grained Attention Networks for Single Image Super-Resolution (30 citations)
- Local Attention Networks for Occluded Airplane Detection in Remote Sensing Images (29 citations)
- Coordinate descent algorithms for phase retrieval (6 citations)
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