M. Ferianc

发表

Real-world experiences: Efficacy and tolerability of pirfenidone in clinical practice

Hui Huang, Zuojun Xu, C. Fang, 2020, PloS one.

Simple Regularisation for Uncertainty-Aware Knowledge Distillation

M. Ferianc, Miguel L. Rodrigues, Martin Ferianc, 2022, ArXiv.

Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators

Wayne Luk, Hongxiang Fan, Xinyu Niu, 2021 .

Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks

Hongxiang Fan, Wayne Luk, Martin Ferianc, 2020, ARC.

FPGA-Based Acceleration for Bayesian Convolutional Neural Networks

W. Luk, Zhiqiang Que, Hongxiang Fan, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Whole-exome sequencing identifies susceptibility genes and pathways for idiopathic pulmonary fibrosis in the Chinese population

Hui Huang, Zuojun Xu, Qian Zhang, 2021, Scientific reports.

On Causal Inference for Data-free Structured Pruning pdf

Anush Sankaran, Martin Ferianc, Ehsan Saboori, 2021, ArXiv.

Relation between sex hormones and leucocyte telomere length in men with idiopathic pulmonary fibrosis

Hui Huang, Zuojun Xu, Qian Zhang, 2020, Respirology.

Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations

Zhiqiang Que, Hongxiang Fan, Xinyu Niu, 2022, IEEE Transactions on Parallel and Distributed Systems.

A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2018, 2018 International Conference on Field-Programmable Technology (FPT).

Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search

Zhiqiang Que, Hongxiang Fan, Xinyu Niu, 2020, 2020 IEEE 38th International Conference on Computer Design (ICCD).

VINNAS: Variational Inference-based Neural Network Architecture Search

Hongxiang Fan, M. Ferianc, Miguel L. Rodrigues, 2020, ArXiv.

F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2019, 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, 2021 International Conference on Field-Programmable Technology (ICFPT).

High-Performance FPGA-based Accelerator for Bayesian Neural Networks

W. Luk, Hongxiang Fan, Xinyu Niu, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator pdf

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).

Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs

W. Luk, Hongxiang Fan, Xinyu Niu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks pdf

Wayne Luk, Zhiqiang Que, Hongxiang Fan, 2021, ArXiv.

Renate: A Library for Real-World Continual Learning

C. Archambeau, Lukas Balles, Martin Wistuba, 2023, ArXiv.