田晉宇
助理教授
所在部門 計算機科學與工程學院
聯係電話 88973106
辦公室 A306b
電子信箱 jytian@must.edu.mo
Personal Homepage: https://jinyutian.github.io/

Academic Qualification

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.

 

Teaching Area

Computer Programing

Object Oriented Programming

Data Science

Mathematic Methods in Data Science

 

Research Area

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.

 

Professional Services

Area Chair: Int. Conf. on Multimedia and Expo (CCF B), 2023

Reviewer of journals and conferences, including

IEEE Transactions on Image Processing (TIP)

IEEE Transactions on Information Forensics and Security (TIFS)

IEEE Transactions on Dependable and Secure Computing (TDSC)

IEEE Transactions on Multimedia (TMM)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

European Conference on Computer Vision (ECCV)

The Annual Conference on Neural Information Processing Systems (NeurIPS)

The AAAI Conference on Artificial Intelligence (AAA I )

ACM Conference on Multimedia (ACM MM )

 

Working Experience

Sep.2022 ~ Present, Assistant Professor,  Faculty of Information Technology, MUST

 

Academic Publication (selected)

Please refer to my homepage for more information: https://jinyutian.github.io/.

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.      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)

 

Awards

Natural Science Award, the Third Prize, Macau, 2022.

 

Professional Society Membership

The secretary of the Institute of Electrical and Electronics Engineers (IEEE), Macau Section.

Member, IEEE