Juan Wen

Dr. Juan Wen is now an associate professor of College of Information and Electrical Engineering (CIEE), China Agricultural University (CAU). She got her Doctor's degree from Beijing University of posts and telecommunications in 2010. She is now a visiting scholar in University of Florida. Her research fields include machine learning, natural language processing and information hiding.

Machine Learning, Natural Language Processing and Information Hiding

1. 2018-2019 Spring, Pattern Recognition

2. 2018-2019 Autumn, Discrete Mathematics (3).

3. 2018-2019 Autumn, Introduction to Artificial Intelligence.

4. 2018-2019 Spring, Programming in C (B).

5. 2018-2019 Spring, Computational Methods.

6. 2018-2019 Autumn, Computer Network and Information Security.

7. 2017-2018 Spring, Programming in C (B).

8. 2017-2018 Spring, Computational Methods.

9. 2017-2018 Spring, Computational Methods Experiments.

10. 2017-2018 Autumn, Computer Network and Information Security.

11. 2016-2017 Autumn, Natural Language Processing.

1. 2019.01-2021.12, Research on Natural Language Information Hiding Based on Image Semantics, National Natural Science Foundation of China (Youth Fund),1/5.

2. 2019.01-2019.11, Research on Natural Language Generation Technology Based on Deep Learning Model, 1/4.

3. 2018.05-2018.11, Information hiding technology based on generated text, Horizontal Project(Government Department), 1/5.

4. 2018.05-2018.11, Encapsulated Natural Language Generation in a Dynamic Real-Time Environment, 1/5.

5. 2018.04-2018.10, Information hiding model based on emotional space text generation, 1/3.

6. 2017.07-2019.06, Research and Demonstration of IoT for Livestock Products Based on Implantable Chips, Open project of Beijing Technology and Business University, 1/7.

7. 2017.01-2017.9, Research on Steganography of Natural Language Based on Deep Learning, 1/3.

1. A Novel Natural Language Steganographic Framework Based on Image Description Neutral Network, Journal of Visual Communication and Image Representation,  SCI, 2019.05, 1/5

2. A subspace learning-based method for JPEG mismatched steganalysis, Multimedia Tools and Applications, SCI, 2019.04, 3/5.

3. Convolutional Neural Network Based Text Steganalysis, IEEE SIGNAL PROCESSING LETTERS, SCI(10%-20%), 2019.03, 1/4.

4. A sharing multi-view feature selection method via Alternating Direction Method of Multipliers, Neurocomputing, SCI(10%-20%), 2019.03, 3/4.

5. Generating Steganographic Image Description by Dynamic Synonym Substitution, signal processing, SCI(10%-20%), 2019.11, 4/5.

6. Robust Speech Steganography using differential SVD, IEEE ACCESS, SCI, 2019.10, 4/6.

7. Image Steganalysis in HighDimensional Feature Spaces with Proximal Support Vector Machine, International Journal of Digital Crime and Forensics, EI, 2019.01, 4/5.

8. Natural language information hiding based on neural network image description, 2018 China Information Hiding Workshop, 2018.03. 1/4.

9. Text information hiding based on image description, Journal of Beijing University of Posts and Telecommunications, EI, 2018.12, 5/5, Corresponding Author.

10. Improved High Capacity Spread Spectrum-Based Audio Watermarking by Hadamard Matrices, Lecture Notes in Computer Science, v 11378 LNCS, 2019, EI, 2018.10, 4/6.

11. An Adaptive JPEG Steganographic Scheme Based on Run-Length Statistical Complexity, Chinese Journal of Electronics, SCI, 2018.01, 1/5.

12. Context-free grammar information hiding based on extended terminal nodes, 2016 China Information Hiding Workshop, 2016.10, 1/4.

The software works Patent

1. Structure and method of mobile phone voice encryption, 2017, 201710000687.2, Patent of Invention.