Tony Yang

I'm a Marie Curie Fellow pursuing Ph.D. at IMDEA Networks Institute supervised by Prof. Dr. Joerg Widmer. I conduct research on efficient multimodal wireless sensing systems for human and obstacle detection and tracking, as part of the MSCA 6th Sense Project.

Prior, I have also worked as a full-time AI research engineer at ImPhys TU Delft with Dr. Tao Qian, where I optimized AI models for medical imaging through advanced pruning techniques.

I pursued my Master's in Computer and Embedded Systems Engineering at TU Delft, where I worked with Dr. Guohao Lan and Dr. Xucong Zhang on immersive emotion recognition systems based on eye-tracking technology.

Personal Email  /  Work Email  /  CV  /  Scholar  /  Github

Research

My interests drive by a passion for integrating AI to all conditions, such as embedded systems, wearable devices, etc. to create impactful, human-centered innovations. Some papers are highlighted.

An eye-tracking dataset in VR, combining high-frame-rate periocular videos and high-frequency gaze data to enable accurate, multimodal emotion recognition.

A physics-driven framework that estimates tissue properties (M0, T1, T2) from annotated cardiac MRI images using diffusion models, enabling physics-based synthesis of diverse unseen sequences for zero-shot generalization of segmentation models across different MRI contrasts.

Trained nnU-Net models contain substantial weight redundancy, with over 80% of weights removable through simple magnitude-based pruning while maintaining same performance across multiple medical segmentation tasks.

Miscellanea

Website adopted from Jon Barron