What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Algorithm
Chun-Shien Lu focuses on Artificial intelligence, Digital watermarking, Watermark, Computer vision and Theoretical computer science.
Artificial intelligence is closely attributed to Pattern recognition in his study.
His Digital watermarking research integrates issues from Computer security, Authentication, Quantization and Steganography.
His studies deal with areas such as Digital image processing and Digital signature as well as Authentication.
The study incorporates disciplines such as Compressed sensing and Video encoding in addition to Computer vision.
In his work, Algorithm is strongly intertwined with Locality-sensitive hashing, which is a subfield of Theoretical computer science.
His most cited work include:
- Structural digital signature for image authentication: an incidental distortion resistant scheme (337 citations)
- Multipurpose watermarking for image authentication and protection (320 citations)
- Cocktail watermarking for digital image protection (201 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Digital watermarking, Computer vision, Algorithm and Compressed sensing are his primary areas of study.
His study connects Pattern recognition and Artificial intelligence.
His Digital watermarking research includes themes of Watermark, Image processing, Robustness and Computer security.
His Watermark research is multidisciplinary, relying on both Hash function, Theoretical computer science and Data mining.
The concepts of his Algorithm study are interwoven with issues in Deep learning and Solver.
Chun-Shien Lu works mostly in the field of Compressed sensing, limiting it down to concerns involving Convex optimization and, occasionally, Convex function.
He most often published in these fields:
- Artificial intelligence (36.67%)
- Digital watermarking (26.67%)
- Computer vision (23.33%)
What were the highlights of his more recent work (between 2018-2021)?
- Code (5.00%)
- Algorithm (21.67%)
- Compressed sensing (20.00%)
In recent papers he was focusing on the following fields of study:
Chun-Shien Lu mainly focuses on Code, Algorithm, Compressed sensing, Artificial intelligence and Key.
He has included themes like Computer hardware, Computer graphics and Grayscale in his Code study.
In his study, Current, Euclidean geometry and Matching pursuit is inextricably linked to Solver, which falls within the broad field of Algorithm.
His Compressed sensing research integrates issues from Greedy algorithm and Nyquist–Shannon sampling theorem.
His Artificial intelligence research focuses on Deep learning, Convolutional neural network, Artificial neural network and Convolution.
His Artificial neural network study incorporates themes from Noise, Computer vision and Training set.
Between 2018 and 2021, his most popular works were:
- Privacy Aware Data Deduplication for Side Channel in Cloud Storage (10 citations)
- Distributed Compressive Sensing: Performance Analysis With Diverse Signal Ensembles (1 citations)
- Difference-Seeking Generative Adversarial Network--Unseen Sample Generation (1 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Algorithm
His scientific interests lie mostly in Semantics, Information retrieval, Image, Obfuscation and Net.
He integrates Semantics and Perceptual similarity in his studies.
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