Personal profile
Dr. Lu Jianfeng
Education 1998, 2001: Received a Bachelor's degree and Master's degree in Mechatronic Engineering from Zhejiang University. 2005: Earned a Ph.D. in Computer Science from the State Key Laboratory of CAD&CG at Zhejiang University, with a research focus on multimedia processing and artificial intelligence applications.
Professional Experience Joined the Institute of Graphics and Images at Hangzhou Dianzi University in 2005, engaging in teaching and research. Published nearly 40 papers in international journals (e.g., Computers & Graphics), international conferences, and key domestic core journals (e.g., Journal of Computer Research and Development, Journal of Computer-Aided Design & Computer Graphics), with multiple papers indexed by SCI and EI.
Research Expertise Long-term research in medical image processing and 3D visualization. Currently leading a project funded by the Zhejiang Provincial Department of Science and Technology. Contributed as a key member to two National Natural Science Foundation of China projects in medical visualization.
Postdoctoral Research Conducted postdoctoral research at the Human-Computer Interaction Laboratory, National University of Singapore (2008), focusing on 3D atlas generation of human structures and virtual reality applications in medical education, achieving significant research outcomes.
Research Fields Digital Image Processing Machine Learning & Artificial Intelligence
Educational experience
Education & Research Experience
Ph.D. in Computer Science and Technology (2005)，Zhejiang University Master’s in Mechatronic Engineering (1998)，Zhejiang University Bachelor’s in Mechatronic Engineering (1993)，Zhejiang University
Cwork experience
Dr.Lu jianfeng joined the Institute of Graphics and Images at Hangzhou Dianzi University in 2005, engaging in teaching and research. Published nearly 40 papers in international journals (e.g., Computers & Graphics), international conferences, and key domestic core journals (e.g., Journal of Computer Research and Development, Journal of Computer-Aided Design & Computer Graphics), with multiple papers indexed by SCI and EI. He conducted postdoctoral research at the Human-Computer Interaction Laboratory, National University of Singapore (2008), focusing on 3D atlas generation of human structures and virtual reality applications in medical education, achieving significant research outcomes. His research areas include Multimedia Processing, Artificial Intelligence, Intelligent Interaction, among others.
Social position
Research field
His research areas include Multimedia Processing, Artificial Intelligence, Intelligent Interaction, among others.
Courses
Teaching courses:
Object-Oriented Programming Game Programming Information Hiding Techniques Multimedia Processing Technologies Digital Image Processing
Research project
Scientific research achievements
Research and Application of Digital Watermarking Technology in Copyright Protection of Printed Matter, 2008-01-01, 2008-01-01, 2010-06-05,
Copyright Protection System for Paper Publications Based on Digital Watermarking Technology, 2008-09-01, 2008-09-01, 2012-09-05
Highly realistic 3D game generation technology, 2007-10-15, 2008-01-01, 2010-01-15
Research on Watermarking Technology for CAD Digital Product Copyright Protection, 2007-09-25
Texture Image Segmentation and Repair Based on Structural Tensor,2014-05-05,
Research on Digital Watermarking Technology for Media Bridge, 2013-08-18
Research on character pose recovery based on multimodal depth feature learning
Research on some key techniques for realistic drawing in 3D games
Research on rapid modeling and analysis platform of human structure based on multimodal medical images,
Copyright protection of HDR stereoscopic video for LDR stereoscopic display
Research on Structured Image Sorting Method for Fusion of Click and Visual Features,
Research on digital watermark and camera fingerprint technology for screen leakage forensics,
Research and application of QR code beautification and security authentication technology
Publications
2026 1. Lu, J., et al. (2026). TTNet: Three-Stages Tooth Segmentation Network Based on Tooth Masks in CBCT Images. International Journal of Imaging Systems and Technology. 2025
2. Lu, J., Huang, X., Li, C., Xin, R., Zhang, S., & Emam, M. (2025). Multi-Stage-Based Siamese Neural Network for Seal Image Recognition. Computer Modeling in Engineering & Sciences, 142(1), 405-423.
3. Bai, Y., Li, L., Zhang, S., Lu, J., & Luo, T. (2025). IEWNet: Multi-Scale Robust Watermarking Network Against Infrared Image Enhancement Attacks. Journal of Imaging, 11(5), 171.
4. Cui, C., Li, L., Lu, J., Zhang, S., & Chang, C.-C. (2025). A novel high-fidelity reversible data hiding scheme based on multi-classification pixel value ordering. Journal of Visual Communication and Image Representation, 110, 104473.
5. Li, L., Zhang, K., Lu, J., & Zhang, S. (2025). Multi-label classification for image tamper detection based on Swin-T segmentation network in the spatial domain. PeerJ Computer Science, 11, e2775.
6. Li, L., Zhang, K., Lu, J., Zhang, S., & Chu, N. (2025). Multiclassification Tampering Detection Algorithm Based on Spatial-Frequency Fusion and Swin-T. IET Image Processing, 19(1). 2024
7. Lu, J., Shi, M., Song, C., Zhao, W., Xi, L., & Emam, M. (2024). Classifier-guided multi-style tile image generation method. Journal of King Saud University - Computer and Information Sciences, 36*(1), 101899.
8. Lu, J., Huang, X., Li, C., Xin, R., Zhang, S., & Emam, M. (2024). Multi-Stage-Based Siamese Neural Network for Seal Image Recognition. Computer Modeling in Engineering & Sciences, 142(1), 405-423. 2023
9. Lu, J., Shi, M., Lu, Y., Chang, C.-C., Li, L., & Bai, R. (2023). Multi-Stage Generation of Tile Images Based on Generative Adversarial Network. IEEE Access, 10, 127502-127513.
10. Zhang, S., Chen, Y., Meng, Y., Lu, J., Li, L., & Bai, R. (2023). A multi-level feature weight fusion model for salient object detection. Multimedia Systems, 29(3), 887-895.
11. Zhang, S., Li, H., Li, L., Lu, J., & Chang, C.-C. (2023). A video watermarking algorithm based on time factor matrix. Multimedia Tools and Applications, 82(5), 7509-7527.
12. Bai, Y., Li, L., Lu, J., Zhang, S., & Chu, N. (2023). A Novel Steganography Method for Infrared Image Based on Smooth Wavelet Transform and Convolutional Neural Network. Sensors, 23(12), 5360.
13. Bai, Y., Li, L., Zhang, S., Lu, J., & Emam, M. (2023). Fast Frequency Domain Screen-Shooting Watermarking Algorithm Based on ORB Feature Points. Mathematics, 11(7), 1730. 2022 and earlier (selected representative papers)
14. Zhang, S., Li, H., Li, L., Lu, J., & Zuo, Z. (2022). A High-Capacity Steganography Algorithm Based on Adaptive Frequency Channel Attention Networks. Sensors, 22(20), 7844.
15. Zhang, S., Su, S., Li, L., Lu, J., Zhou, Q., & Chang, C.-C. (2022). CSST-Net: an arbitrary image style transfer network of coverless steganography. The Visual Computer, 38(6), 2125-2137.
16. Li, L., Cui, C., Lu, J., Zhang, S., & Chang, C.-C. (2021). A Holographic Diffraction Label Recognition Algorithm Based on Fusion Double Tensor Features. Computer Systems Science and Engineering, 38(3), 291-303.
17. Lu, J., Yang, Z., Li, L., Yuan, W., Li, L., & Chang, C.-C. (2017). Multiple Schemes for Mobile Payment Authentication Using QR Code and Visual Cryptography. Mobile Information Systems, 2017, 4356038.
18. Li, L., Qiu, J., Lu, J., & Chang, C.-C. (2016). An aesthetic QR code solution based on error correction mechanism. Journal of Systems and Software, 116, 85-94.
19. Li, L., Dong, Z., Lu, J., Dai, J., Huang, Q., Chang, C.-C., & Wu, T. (2015). An H.264/AVC HDTV watermarking algorithm robust to camcorder recording. Journal of Visual Communication and Image Representation, 26, 1-8.
20. Lu, J., Pan, Z., Lin, H., Zhang, M., & Shi, J. (2005). Virtual learning environment for medical education based on VRML and VTK. Computers & Graphics, 29(2), 283-288.
Patent
Patents Bill-Type Image Compression Algorithm Based on JPEG Compression Principles Type: Invention Patent (Granted) Patent No.: 201210197401.1 Grant Date: 2014-04-02 Affiliation: School of Computer Science (Software College)
3D Mesh Model Blind Watermarking Method Based on Image Discrete Cosine Transform Type: Invention Patent (Application) Application No.: 201410520269.2 Affiliation: School of Computer Science (Software College)
Reversible Watermark Embedding and Extraction Method for 3D Models Using PCA and FCM Clustering Algorithms Type: Invention Patent (Application) Application No.: 2019108150669 Affiliation: School of Computer Science (Software College)
Video Synopsis Method Based on Tensor Decomposition Type: Invention Patent (Granted) Patent No.: 201910814980.1 Grant No.: CN110446067B Grant Date: 2021-11-02 Affiliation: School of Computer Science (Software College)
Anti-Vibration Hammer Detection Method for High-Voltage Transmission Lines Using Combined Features and Cascade Classifiers Type: Invention Patent (Granted) Patent No.: 201910353892.6 Grant No.: CN110119771B Grant Date: 2020-12-22 Affiliation: School of Computer Science (Software College)
Blur Detection Method Based on SVD Decomposition in Image DCT Domain Type: Invention Patent (Granted) Patent No.: 201810313311.1 Grant No.: CN108510496B Grant Date: 2020-09-22 Affiliation: School of Computer Science (Software College)
Three-Stage Tile Image Generation Method Based on GAN Network Architecture Type: Invention Patent (Application) Application No.: 202110925286.4 Affiliation: School of Computer Science (Software College)
Method for Segmenting Tube Wells in Cell Plate Images Type: Invention Patent (Application) Application No.: 202110557045.9 Affiliation: School of Computer Science (Software College)
Seamless 3D Tile Printing File Conversion Method, Device, and Medium Type: Invention Patent (Application) Application No.: 202011614392.2 Affiliation: School of Computer Science (Software College)
Image Salient Object Detection Method Based on Deep Supervised Learning Type: Invention Patent (Application) Application No.: 202110312130.9 Affiliation: School of Computer Science (Software College)
Error-Correcting Invisible Digital Watermarking Method for Archival Images Type: Invention Patent (Application) Application No.: 202110771612.0 Affiliation: School of Computer Science (Software College)
Handwritten Digit Recognition Method Using Convolutional Neural Networks and Encoding Type: Invention Patent (Application) Application No.: 202011279352.7 Affiliation: School of Computer Science (Software College)
Deep Learning-Based Cell Image Segmentation Method Type: Invention Patent (Application) Application No.: 202110459173.X Affiliation: School of Computer Science (Software College)
Image Seam Processing Method for Color Separation Map Conversion to 3D Printing Files Type: Invention Patent (Application) Application No.: 202011612540.7 Affiliation: School of Computer Science (Software College)
Gradient Descent-Based Invisible Watermark Search Method Type: Invention Patent (Application) Application No.: 202110925263.3 Affiliation: School of Computer Science (Software College)
Tile Traceability Method and System Using Watermark Technology Type: Invention Patent (Application) Application No.: 202110836670.7 Affiliation: School of Computer Science (Software College)
Quality Monitoring and Evaluation Method for Tile Production Based on Inkjet Volume Calculation Type: Invention Patent (Application) Application No.: 202111456331.2 Affiliation: School of Computer Science (Software College)
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