Jinyu Tian

Jinyu Tian

Macau University of Science and Technology

Jinyu Tian is currently an Assistant Professor at the Faculty of Innovation Engineering, at Macau University of Science and Technology. He received his Ph.D. degree from the Faculty of Science and Technology, University of Macau, Taipa, China. Before this, he received B.S. and M.S. degrees in mathematics from Chongqing University, Chongqing, China, in 2014 and 2017, respectively. His current research interests include adversarial machine learning, security of deep learning, and subspace learning. He has authored/co-authored over 10 scientific papers in international journals and conferences, such as TIP, TNNLS, AAAI, and CVPR. He is a regular reviewer of extensive journals and conferences, such as TIP, TMM, ACM MM, and CVPR.

đź“– EDUCATIONS

  • 2017.08 - 2022.01 University of Macau, Macau, China, Ph.D., Computer Science.
  • 2014.09 - 2017.07 Chongqing University, Chongqing, China, M.S., Mathematics.
  • 2010.09 - 2014.07 Chongqing University, Chongqing, China, B.S., Mathematics.

đź’» RESEARCH INTERESTS/AREAS

Adversarial Machine Learning: Adversarial Detection, White-box Attack, and Physical Attack.

Security of Deep Learning: IP Protection of Deep Models, Watermarking of Deep Models.

Multimedia Forensics: Forgery Detection, DeepFake Detection, AIGC Detection.

Subspace Learning: Subspace Manifold Representation, Robust Subspace Learning.

đź“– OPENINGS

We regularly have several positions for full-scholarship and half-scholarship Ph.D. If you are interested in my research and want to join our group, please don’t hesitate to send me an email with your CV and research interests.

đź“ť SELECTED PUBLICATIONS

1.J. Y. Tian, T. P. Zhang, A. Y. Qin, Z. W. Shang, and Y. Y. Tang, “Learning the Distribution Preserving Semantic Subspace for Clustering”, IEEE Transactions on Image Processing, 2017. (CCF: A) 2.J. Y. Tian, J. T. Zhou, and J. Duan, “Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services”, IEEE Conference on Computer Vision and Pattern Recognition, 2021. (CCF: A)

3.J. Y. Tian, J. T. Zhou, Y.M. Li, and J. Duan, “Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain”, Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021. (CCF: A)

4.J. Y. Tian, J. T. Zhou, and J. Duan, “Providing Hierarchical Services of Convolutional Neural Networks via Probabilistic Selective Encryption”, IEEE Transactions on Services Computing, 2021. (CCF A)

5.Y. M. Chen, J. Y. Tian, X. Y. Chen, and J. T. Zhou, “Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution”, In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CCF-A).

6.H. W. Wu, J. T. Zhou, J. Y. Tian, J. Liu, and Yu Qiao, “Robust Image Forgery Detection against Transmission over Online Social Networks”, IEEE Transactions on Information Forensics and Security, 2022. (CCF: A)

7.W.W. Sun, and J. T. Zhou, L. Dong, J. Y. Tian, J. Liu, “Optimal Pre-filtering for Improving Shared Images in Online Social Networks”, IEEE Transactions on Image Processing, 2017. (CCF: A) 8.H. W. Wu, J. T. Zhou, J. Y. Tian, and J. Liu, “Robust Image Forgery Detection over Online Social Network Shared Images”, IEEE Conference on Computer Vision and Pattern Recognition, 2022 (Oral, AR 4.2%). (CCF-A)

9.Y. M. Li, J. T. Zhou, J. Y. Tian, X. W. Zheng and Y. Y. Tang, “Weighted Error Entropy based Information Theoretic Learning for Robust Subspace Representation”, IEEE Transactions on Neural Networks and Learning Systems, 2021. (CCF: B)

10.Y. M. Li, J. T. Zhou, X. W. Zhen, J. Y. Tian, and Y. Y. Tang. “Robust Subspace Clustering with Independent and Piecewise Identically Distributed (i.p.i.d.) Noise Modeling”, IEEE Conference on Computer Vision and Pattern Recognition, 2021. (CCF: A; Oral, AR 5.6%)

11.A. Y. Qin, Z. W. Shang, J. Y. Tian, Y. L. Wang, T. P. Zhang, and Y. Y. Tang, “Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification”. IEEE Geoscience and Remote Sensing Letters, 2019. (JCR: Q1)

🎖 PROFESSIONAL ACTIVITIES & AWARDS

  1. Natural Science Award, the Third Prize, Macau, 2022.
  2. The secretary of the Institute of Electrical and Electronics Engineers (IEEE), Macau Section.
  3. Area Chair: Int. Conf. on Multimedia and Expo (CCF B), 2023
  4. Reviewer of journals and conferences, including
    • IEEE Trans. on Image Processing
    • IEEE Trans. on Multimedia
    • International Journal of Pattern Recognition and Machine Learning
    • IEEE Conference on Computer Vision and Pattern Recognition
    • ACM Conference on Multimedia

đź“ť RESEARCH PROJECTS EXPERIENCE

Macau Science and Technology Development Fund (FDCT), PI, “Research and Application of Key Technologies for Artificial Intelligence Generated Content Detection”, 0040/2023/ITP1, Dec. 2023 – Dec. 2025. (333K Mop)

Macau Science and Technology Development Fund (FDCT), PI, “Research on Visual Adversarial Perturbation Toward the Protection of Digital Properties and Privacy”, 0004/2023/RIB1, Oct. 2023 – Oct. 2026. (719K Mop)

Natural Science Foundation of China (NSFC), PI, “Study of Adversarial Perturbations for Privacy-preserving in Online Social Network”, 62202009, Jan. 2023 – Dec. 2025. (300K RMB)

Guangdong Provincial Natural Science Foundation General Project, PI, “Research on Privacy Protection of Social Platforms Based on Discrete Robust Adversarial Perturbation”, Jan. 2024 – Dec. 2026. (150K RMB)