Kejia Zhang

Master Student

Xiamen University

About Me

I am a second-year M.S. student in the Department of Artificial Intelligence at Xiamen University, fortunate to be advised by Prof. Zhiming Luo. Previously, I received a B.S. in Mathematics from Anhui University, where I worked closely with Prof. Haifeng Zhang during my undergraduate studies.

Interests

Trustworthy LVMs
Computer Vision
Neural Network Robustness

Education

Department of Artificial Intelligence, 2023
Xiamen University
School of Mathematical Sciences, 2019
Anhui University

Publications

Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment

ICCV-25

Kejia Zhang, Juanjuan Weng, Zhiming Luo, Shaozi Li

Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment

Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs

Preprint

Kejia Zhang, Keda Tao, Jiasheng Tang, Huan Wang

Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness

Preprint

Kejia Zhang, Juanjuan Weng, Yuanzheng Cai, Zhiming Luo, Shaozi Li

Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness

Preprint

Kejia Zhang, Junwei Wu, Juanjuan Weng, Guoqing Yang, Zhiming Luo, Shaozi Li

Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks

IEEE TCSS (JCR-Q1, IF=4.9)

Kejia Zhang, Xiao Ding, Bingbing Xiang, Haifeng Zhang, Zhongkui Bao

Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks

🏅 Honors & Awards

National Encouragement Scholarship, 2023
National Second Prize, Chinese Undergraduate Mathematical Contest in Modeling (CUMCM), 2022
Academic Technology Scholarship, 2021 & 2022