I’m Xiao Wang, an MPhil researcher in Computer Science at the University of Sydney, focused on medical AI for histopathology vision-language understanding. My first-author work has been published at ECAI, where I investigated how vision-language foundation models can better perform zero-shot tumour malignancy recognition through retrieval-augmented and retrieval-denoising language modeling approaches. I’m also building next steps in my research, including instruction-guided retrieval refinement and knowledge-preserving domain adaptation so models can learn new domains without losing their zero-shot and retrieval capabilities. Beyond research, I’ve contributed as an AI engineer and algorithm engineer—working with real-world sensing and computer vision pipelines—while continuously strengthening my engineering toolkit with PyTorch, Transformers, and model adaptation techniques.…I’m Xiao Wang, an MPhil researcher in Computer Science at the University of Sydney, focused on medical AI for histopathology vision-language understanding. My first-author work has been published at ECAI, where I investigated how vision-language foundation models can better perform zero-shot tumour malignancy recognition through retrieval-augmented and retrieval-denoising language modeling approaches. I’m also building next steps in my research, including instruction-guided retrieval refinement and knowledge-preserving domain adaptation so models can learn new domains without losing their zero-shot and retrieval capabilities. Beyond research, I’ve contributed as an AI engineer and algorithm engineer—working with real-world sensing and computer vision pipelines—while continuously strengthening my engineering toolkit with PyTorch, Transformers, and model adaptation techniques.WWWW…