Publications

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
Hao (Mark) Chen, Zehuan Zhang, Wanru Zhao, Nicholas Lane and Hongxiang Fan
Arxiv, 2024

Accelerating MRI Uncertainty Estimation with Mask-Based Bayesian Neural Network [Link][Code]
Zehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek and Wayne Luk
ASAP, 2024

Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA [Link][Code]
Zehuan Zhang, Hongxiang Fan, Hao (Mark) Chen, Lukasz Dudziak and Wayne Luk
DAC, 2024

Acceleration of T2* mapping on an MR Linac using a self-supervised convolutional neural network
Albert Ugwudike, Zehuan Zhang, Wajiha Bano, Alison Tree, Wayne Luk, Andreas Wetscherek
ISMRM & ISMRT Annual Meeting & Exhibition, 2024

Fast Uncertainty Estimation of IVIM Parameters using Bayesian Neural Networks
Zehuan Zhang, Matej Genči, Hongxiang Fan, Wayne Luk, and Andreas Wetscherek
ISMRM & ISMRT Annual Meeting & Exhibition, 2023