E-LIB Suche - Ergebnisse für: Que, Zhiqiang

1

When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayes..:

Fan, Hongxiang ; Chen, Hao ; Castelli, Liam...
http://arxiv.org/abs/2308.06849. , 2023

Link: http://arxiv.org/abs/230..

2

Reconfigurable acceleration of Recurrent Neural Networks:

Que, Zhiqiang
alma. , 2023

Link: http://hdl.handle.net/10..

3

MetaML: Automating Customizable Cross-Stage Design-Flow for..:

Que, Zhiqiang ; Liu, Shuo ; Rognlien, Markus...
http://arxiv.org/abs/2306.08746. , 2023

Link: http://arxiv.org/abs/230..

4

The treatment efficacy of pharmacotherapies for rapid eye m..:

Que, Zhiqiang ; Zheng, Cuifeng ; Zhao, Zhenhua...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647487/. , 2022

Link: http://www.ncbi.nlm.nih...

5

Algorithm and Hardware Co-design for Reconfigurable CNN Acc..:

Fan, Hongxiang ; Ferianc, Martin ; Que, Zhiqiang...
https://discovery.ucl.ac.uk/id/eprint/10150064/1/ASP_DAC_21_NAS_FPGA.pdf. , 2022

Link: https://discovery.ucl.ac..

6

Accelerating Bayesian Neural Networks via Algorithmic and H..:

Fan, Hongxiang ; Ferianc, Martin ; Que, Zhiqiang...
https://discovery.ucl.ac.uk/id/eprint/10150056/1/tpds21_bayescnn_hf5_final.pdf. , 2022

Link: https://discovery.ucl.ac..

7

LL-GNN: Low Latency Graph Neural Networks on FPGAs for High..:

Que, Zhiqiang ; Fan, Hongxiang ; Loo, Marcus...
http://arxiv.org/abs/2209.14065. , 2022

Link: http://arxiv.org/abs/220..

8

FPGA-based Acceleration for Bayesian Convolutional Neural N..:

Fan, Hongxiang ; Ferianc, Martin ; Que, Zhiqiang...
https://discovery.ucl.ac.uk/id/eprint/10150063/1/tcad22_3dbayes_hf2_final.pdf. , 2022

Link: https://discovery.ucl.ac..

9

Optimizing Bayesian Recurrent Neural Networks on an FPGA-ba..:

Ferianc, Martin ; Que, Zhiqiang ; Fan, Hongxiang..
http://arxiv.org/abs/2106.06048. , 2021

Link: http://arxiv.org/abs/210..

10

Optimizing Bayesian Recurrent Neural Networks on an FPGA-ba..:

Ferianc, Martin ; Que, Zhiqiang ; Fan, Hongxiang..
https://discovery.ucl.ac.uk/id/eprint/10150058/1/2106.06048v3.pdf. , 2021

Link: https://discovery.ucl.ac..

11

Accelerating Recurrent Neural Networks for Gravitational Wa..:

Que, Zhiqiang ; Wang, Erwei ; Marikar, Umar...
http://arxiv.org/abs/2106.14089. , 2021

Link: http://arxiv.org/abs/210..

12

Applications and Techniques for Fast Machine Learning in Sc..:

Deiana, Allison McCarn ; Tran, Nhan ; Agar, Joshua...
http://arxiv.org/abs/2110.13041. , 2021

Link: http://arxiv.org/abs/211..

13

Accelerating Recurrent Neural Networks for Gravitational Wa..:

Que, Zhiqiang ; Wang, Erwei ; Marikar, Umar...
https://doi.org/10.1109/asap52443.2021.00025. , 2021

Link: https://doi.org/10.1109/..

14

Algorithm and Hardware Co-design for Reconfigurable CNN Acc..:

Fan, Hongxiang ; Ferianc, Martin ; Que, Zhiqiang...
http://arxiv.org/abs/2111.12787. , 2021

Link: http://arxiv.org/abs/211..

15

The treatment efficacy of pharmacotherapies for rapid eye m..:

Zhiqiang Que ; Cuifeng Zheng ; Zhenhua Zhao...
http://www.sciencedirect.com/science/article/pii/S240584402202713X. , 2022

Link: https://doi.org/10.1016/..