What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Computer vision
Weiming Zhang spends much of his time researching Information hiding, Embedding, Artificial intelligence, Algorithm and Steganography.
His studies in Information hiding integrate themes in fields like Data compression and Theoretical computer science.
His Embedding research is multidisciplinary, incorporating perspectives in Pixel and Binary number.
In his research, Encryption is intimately related to Computer vision, which falls under the overarching field of Artificial intelligence.
His Encryption study integrates concerns from other disciplines, such as Image quality and Data mining.
His work on Steganalysis as part of general Steganography study is frequently connected to Least significant bit and Upper and lower bounds, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His most cited work include:
- Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption (377 citations)
- Reversibility improved data hiding in encrypted images (224 citations)
- A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (208 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Steganography, Information hiding, Algorithm and Embedding are his primary areas of study.
His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.
The Steganography study combines topics in areas such as JPEG, Theoretical computer science and Discrete cosine transform.
His Information hiding study incorporates themes from Image quality, Histogram, Entropy and Encryption.
His biological study spans a wide range of topics, including Function and Code.
His Embedding research incorporates themes from Cover and Digital image.
He most often published in these fields:
- Artificial intelligence (47.03%)
- Steganography (33.79%)
- Information hiding (28.77%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (47.03%)
- Algorithm (26.94%)
- Steganography (33.79%)
In recent papers he was focusing on the following fields of study:
Weiming Zhang mostly deals with Artificial intelligence, Algorithm, Steganography, Embedding and Digital watermarking.
Weiming Zhang interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
His Algorithm research includes elements of Baseline, Discrete cosine transform, Information hiding, Adversary and Code.
His Information hiding research is multidisciplinary, relying on both Multimedia and Partition.
His study in the field of Steganalysis is also linked to topics like Nonlinear distortion.
As a member of one scientific family, Weiming Zhang mostly works in the field of Embedding, focusing on Color image and, on occasion, Contrast.
Between 2019 and 2021, his most popular works were:
- DeepFaceLab: A simple, flexible and extensible face swapping framework. (19 citations)
- LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks (8 citations)
- A Secure and Privacy-Preserving Technique Based on Contrast-Enhancement Reversible Data Hiding and Plaintext Encryption for Medical Images (7 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Algebra
His primary areas of investigation include Artificial intelligence, Algorithm, Steganography, Embedding and Robustness.
His Artificial intelligence research includes themes of Iterative method and Gradient method.
His study in Algorithm is interdisciplinary in nature, drawing from both Information hiding and Secure communication.
His work in the fields of Steganography, such as Steganalysis, intersects with other areas such as Nonlinear distortion.
In most of his Embedding studies, his work intersects topics such as Grayscale.
His study on Robustness also encompasses disciplines like
- Image processing which is related to area like Digital watermarking, Data mining and Watermark,
- Adversarial system which connect with Invisibility, Code, Pixel, Deep neural networks and Feature.
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