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 work closely with Prof. Haifeng Zhang during my undergraduate studies.
My email: kejiaz171@gmail.com
Department of Artificial Intelligence
Xiamen University
School of Mathematical Sciences
Anhui University
My current research focuses on hallucinations in large multimodal models, with the goal of improving their trustworthiness and reliability. I also have prior experience in neural network robustness, particularly in adversarial training and adversarial attack methods.
đŠ (AD) I am seeking a PhD position for Fall 2026, with a focus on Reliable LVMs and adversarial robustness. If you are aware of any opportunities that align with my research interests, please feel free to contact me. Thank you!
I have had the pleasure of collaborating with and learning from the following institutions, where I experienced invaluable growth and joy:
We propose a novel method that uses optimized visual noise to suppress object hallucinations in LVMs. By enhancing factual grounding and reducing parametric bias, our approach improves model reliability across 8 vision-language models.
A PyTorch-based repository designed to provide a comprehensive framework for adversarial training and robustness evaluation in visual tasks.
