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Research
What had you done as time goes by
It has been a long way.
Research Interests
Robust Machine Learning, Safety Verification, Computer Vision, Knowledge Graph.
Publications
Y. Zhang
, W. Ruan, F. Wang and X. Huang.
Generalizing universal adversarial perturbations for deep neural networks
, Machine Learning, 112(5): 1597-1626 (2023).
S. Zeng, B. Zhang,
Y. Zhang
and J. Gou.
Dual Sparse Learning via Data Augmentation for Robust Facial Image Classification
, International Journal of Machine Learning and Cybernetics, 11(3): 1717–1734 (2020).
Y. Zhang
, S. Zeng, W. Zeng and J. Gou.
GNN-CRC: Discriminative Collaborative Representation-Based Classification via Gabor Wavelet Transformation and Nearest Neighbor
, J. Shanghai Jiao Tong Univ. (Sci.), 23(5): 657-665 (2018).
Conferences
Y. Zhang
, T. Zhang, R. Mu, X. Huang and W. Ruan.
Towards Fairness-Aware Adversarial Learning
, Conference on Computer Vision and Pattern Recognition (CVPR 2024). [
Code
]
R. Mu, L. Marcolino L,
Y. Zhang
, T. Zhang, X. Huang and W. Ruan.
Reward Certification for Policy Smoothed Reinforcement Learning
, Association for the Advancement of Artificial Intelligence (AAAI 2024). [
Code
]
T. Zhang, J. Liu,
Y. Zhang
, R. Mu, X. Huang and W. Ruan.
DeepGRE: Global Robustness Evaluaion of Deep Neural Networks
, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024).
F. Wang, Z. Fu,
Y. Zhang
and W. Ruan.
Self-adaptive Adversarial Training for Robust Medical Segmentation
, Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). [
Code
]
F. Wang,
Y. Zhang
, Y. Zheng and W. Ruan.
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
, NeurIPS 2022 TEA Workshop. [
Code
]
Y. Zhang
, F. Wang, W. Ruan.
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks
, CIKM 2020 AnalytiCup Workshop. [
Code
]
Y. Zhang
, W. Ruan, F. Wang, and X. Huang.
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations
, The IEEE International Conference on Data Mining (ICDM 2020), November 17-20, 2020, Sorrento, Italy. [
Code
] [
Video
]
S. Zeng, B. Zhang,
Y. Zhang
and J. Gou.
Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification
, Proceedings of The 10th Asian Conference on Machine Learning, PMLR 95:502-517, 2018.
Y. Zhang
, S. Zeng, W. Zeng and H. Jiang.
Synthetic Training Samples for Enhanced Locality-Constrained Dictionary Learning
, The 2nd Asian Conference on Artificial Intelligence Technology (2018), Chongqing, China, Jun. 8-10. The Journal of Engineering, (2018) 2018(16): 1761-1767. [Oral Presentation, Best Session Paper]
Preprint
X. Huang, W. Ruan, W. Huang, G. Jin, Y. Dong, C. Wu, S. Bensalem, R. Mu, Y. Qi, X. Zhao, K. Cai,
Y. Zhang
, S. Wu, P. Xu, D. Wu, A. Freitas, M. A. Mustafa.
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
, 2023.
N. Berthier, Y. Sun, W. Huang,
Y. Zhang
, W. Ruan, X. Huang.
Tutorials on Testing Neural Networks
, 2021.
Reseach/Teaching Assistant
Reseach Assistant
, University of Liverpool, January 2023 - Now
TA for ECMM422 Machine Learning
, University of Exeter, 2021
TA for ECMM458 Machine Learning (professional)
, University of Exeter, 2020
PGR Demonstrator for MSc AI/DS Students
, University of Exeter, 2020-2021
Academic Services
Journal Reviewer: TKDE/Information Sciences
Conference Reviewer: ECCV/CVPR/ICCV/CIKM
External Conference Reviewer: NeurIPS/ECML-PKDD/ICML/IJCAI/ICLR
FRIENDS
Trustworthy AI Lab
Fu Wang
Tianle Zhang
Ronghui Mu
Shaoning Zeng