CLangSAM-2: Clinician-Language-Guided Segment Anything Model for Intracranial Hemorrhage Segmentation
Semantic Fusion for Language-Guided CT Segmentation
Di Wu, Hanling Wang, Qirui Zhu, Kefan Wu, Ling Xu, Xiaohui Zhu*, Jun Wang*

I am a researcher interested in building reliable and interpretable AI systems, with a focus on computer vision and large language models. My research experience spans medical image segmentation, multimodal learning, and LLM-based evaluation systems. Moving forward, I aim to explore how structured representations and reasoning can enhance the reliability of intelligent systems :-)
Semantic Fusion for Language-Guided CT Segmentation
Di Wu, Hanling Wang, Qirui Zhu, Kefan Wu, Ling Xu, Xiaohui Zhu*, Jun Wang*

NLP AI Engineer Intern
Meme hateful content detection through Symbolic CoT
Hanling Wang, Chenlong Wei, Yingjian Li, Di Wu, Yuchao Zhang, Xiaohui Zhu*, Yao Zhu*

information-geometric framework formulates adversarial optimization
Chenlong Wei, Hanling Wang, Xiaobo Jin*

Oral Scan Data Reformation and Segmentation
Hanling Wang, Di Wu, Zhiying Cao, Yifei Bi, Xiaodan Chen*, Yiding Ji*

AI Developer Intern
A biodiversity science popularization mini-program based on LLM
Environmental Science Team

Auto short answer grading using LLM
Hanling Wang, Banghao Chi, Yufei Wu, Kexin Chen, Di Wu, Songning Liu, Yiwei Li, Hanyan Niu, Xiaohui Zhu*

Multi-stage segmentation solution
Jingwen Jiang, Chensheng Zhang, Hanling Wang, Xuezhi Zhang, Jiarui Cao, Lyuyang Tong*, Bo Du*

Doman adaptation based on Fourier Transfer
Hanling Wang, Di Wu, Yingjuan Li, Chenglong Wei, Yao Zhu*, Bo Ni*

Heredity Algorithm path planning for Pollination robot
Zhaochen Wang, Xiaoyan Gao, Hanling Wang, Yi Chen*
