What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Algorithm
His scientific interests lie mostly in MIMO, Communication channel, Algorithm, Telecommunications link and Deep learning.
His MIMO study combines topics from a wide range of disciplines, such as Control theory, Channel state information, Detector and Antenna.
His research in Communication channel intersects with topics in Wireless, Estimator, Base station and Transmission.
In his study, Underdetermined system, Cellular network, Interference and Statistics is strongly linked to Antenna array, which falls under the umbrella field of Algorithm.
In his work, Covariance is strongly intertwined with Mathematical optimization, which is a subfield of Telecommunications link.
His studies in Deep learning integrate themes in fields like Artificial neural network, Computer engineering, Robustness and Compressed sensing.
His most cited work include:
- Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI (280 citations)
- Deep learning for wireless physical layer: Opportunities and challenges (277 citations)
- Deep Learning for Massive MIMO CSI Feedback (268 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in MIMO, Communication channel, Algorithm, Telecommunications link and Electronic engineering.
His MIMO research is multidisciplinary, incorporating elements of Control theory, Channel state information, Base station and Topology.
His Communication channel research includes elements of Wireless, Estimator and Deep learning, Artificial intelligence.
His research integrates issues of Antenna and Robustness in his study of Algorithm.
The study incorporates disciplines such as Duplex and Spectral efficiency in addition to Telecommunications link.
He has researched Electronic engineering in several fields, including Quantization, Detector and Bit error rate.
He most often published in these fields:
- MIMO (51.91%)
- Communication channel (40.84%)
- Algorithm (33.59%)
What were the highlights of his more recent work (between 2019-2021)?
- MIMO (51.91%)
- Communication channel (40.84%)
- Algorithm (33.59%)
In recent papers he was focusing on the following fields of study:
Chao-Kai Wen focuses on MIMO, Communication channel, Algorithm, Artificial intelligence and Deep learning.
His MIMO study combines topics in areas such as Wireless, Channel state information, Computer engineering, Detector and Base station.
His Base station research is multidisciplinary, incorporating perspectives in Ergodic theory, Real-time computing, Duplex and Telecommunications link.
His study in Communication channel is interdisciplinary in nature, drawing from both Path, Electronic engineering and Antenna array, Antenna.
The concepts of his Algorithm study are interwoven with issues in Estimator, Mimo systems and Robustness.
The various areas that he examines in his Deep learning study include Overhead, Feature, Wideband, Precoding and Unsupervised learning.
Between 2019 and 2021, his most popular works were:
- Model-Driven Deep Learning for MIMO Detection (47 citations)
- Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis (41 citations)
- Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems (38 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Algorithm
Chao-Kai Wen mainly focuses on MIMO, Communication channel, Electronic engineering, Algorithm and Wireless.
His MIMO research incorporates elements of Artificial neural network, Deep learning, Artificial intelligence, Base station and Channel state information.
His work carried out in the field of Communication channel brings together such families of science as Antenna array, Antenna and Transceiver.
His Electronic engineering research focuses on subjects like Spectral efficiency, which are linked to Baseband, Parallel processing and Extremely high frequency.
His work on Iterative method as part of general Algorithm study is frequently linked to Systems architecture, therefore connecting diverse disciplines of science.
In Wireless, Chao-Kai Wen works on issues like Communications system, which are connected to Computer architecture, Computational complexity theory, Signal processing and Wireless security.
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