About me

My name is Xinliang Zhang (张心亮). I am currently a PhD student at the Molecular Imaging and Medical Intelligence Lab MILab, supervised by Yanye Lu (卢闫晔).

My research instresets include image segmentation, object detection, and multimodal large language models. I am also interested in the application of AI in medical imaging.

Publications

#: Equal Contribution; *: Corresponding Author

Preprint

AdaTok: Adaptive Token Compression with Object-Aware Representations for Efficient Multimodal LLMs
arXiv 18 Nov 2025
Xinliang Zhang, Lei Zhu, Hangzhou He, Shuang Zeng, Ourui Fu, Jiakui Hu, Zhengjian Yao, Yanye Lu*

Conference Papers

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label
AAAI 2024, (CCF-A) [poster] [pdf] [doi] [code]
Xinliang Zhang #, Lei Zhu #, Hangzhou He, Lujia Jin, Yanye Lu*

Journal Papers

Generative learning-based lightweight MRI brain tumor segmentation with missing modalities
Expert Systems with Applications ,(IF=7.5) doi
Xinliang Zhang, Qian Chen, Hangzhou He, Lei Zhu, Zhaoheng Xie, Yanye Lu, Fangxiao Cheng

Book Chapter

• Learning-Based Material Decomposition for Spectral X-Ray Imaging,

  Xinliang Zhang#, Jiakui Hu#, Yanye Lu*,

  Deep Learning for Advanced X-ray Detection and Imaging Applications. Springer, Cham, 87-105. (Book Chapter) [doi]