DACAlgorithm and Hardware Co-Design for Efficient Complex-Valued Uncertainty EstimationZehuan Zhang, Hao Mark Chen, He Li, Wayne LukACM/IEEE Design Automation Conference (DAC), 2026 Paper Code2026
arXivAdvancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time OptimizationHao (Mark) Chen, Zehuan Zhang, Wanru Zhao, Nicholas Lane and Hongxiang FanarXiv preprint, 20242024
ASAPAccelerating MRI Uncertainty Estimation with Mask-Based Bayesian Neural NetworkZehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek and Wayne LukIEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2024 Paper Code2024
DACHardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGAZehuan Zhang, Hongxiang Fan, Hao (Mark) Chen, Lukasz Dudziak and Wayne LukACM/IEEE Design Automation Conference (DAC), 2024 Paper Code2024
ISMRMAcceleration of T2* mapping on an MR Linac using a self-supervised convolutional neural networkAlbert Ugwudike, Zehuan Zhang, Wajiha Bano, Alison Tree, Wayne Luk, Andreas WetscherekISMRM & ISMRT Annual Meeting & Exhibition, 20242024
ISMRMFast Uncertainty Estimation of IVIM Parameters using Bayesian Neural NetworksZehuan Zhang, Matej GenĨi, Hongxiang Fan, Wayne Luk, and Andreas WetscherekISMRM & ISMRT Annual Meeting & Exhibition, 20232023