LIU Weichen

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1,041 to 1,050 of 1,230 Results

Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration Mar 30, 2023 - Huai Shuo Huai, Shuo; Liu, Weichen, 2023, "Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration", https://doi.org/10.21979/N9/OVGZZ1, DR-NTU (Data), V1 Codes for "Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration"
quantize.py Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration Python Source Code - 71.6 KB - MD5: fb1def223697880e308ae2776ac0c452
resnet.py Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration Python Source Code - 5.1 KB - MD5: 51fc7dd8ee30923e3896fa6030719a27
train_cifar.py Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration Python Source Code - 18.0 KB - MD5: ed60c86e2d73e2290f6d1260da182a10
variation_calculation.py Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration Python Source Code - 4.9 KB - MD5: fa30542bbd47bee9cefb75fd2cc47fb8
vgg.py Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration Python Source Code - 1.9 KB - MD5: 298b5cf8fe2b33b52c03ec04bdaba946
Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations May 12, 2022 - Zhu Shien Zhu, Shien; Li, Shiqing; Liu, Weichen, 2022, "Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations", https://doi.org/10.21979/N9/JNFW9P, DR-NTU (Data), V2, UNF:6:L3+xW/BxBE6fYNWBm4ta6Q== [fileUNF] The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations
CAPIM-00s11_voltage-08-10_SL-10-04_MUX8.png May 12, 2022 - Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations PNG Image - 588.6 KB - MD5: 5f86c21b93f8e286e9ca190f2e24cee2
CAPIM-11a00_voltage-08-10_SL-071-04_MUX8.png May 12, 2022 - Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations PNG Image - 553.3 KB - MD5: a769189212261a66de5745051fd1ff56
CAPIM-11s00_voltage-08-10_SL-08-04_MUX8.png May 12, 2022 - Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations PNG Image - 583.5 KB - MD5: 903b2525af291042d73816546e7b1899

Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration

Mar 30, 2023 - Huai Shuo

Huai, Shuo; Liu, Weichen, 2023, "Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration", https://doi.org/10.21979/N9/OVGZZ1, DR-NTU (Data), V1

Codes for "Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration"

quantize.py

Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration

Python Source Code - 71.6 KB -

resnet.py

Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration

Python Source Code - 5.1 KB -

train_cifar.py

Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration

Python Source Code - 18.0 KB -

variation_calculation.py

Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration

Python Source Code - 4.9 KB -

vgg.py

Mar 30, 2023 - Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration

Python Source Code - 1.9 KB -

Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

May 12, 2022 - Zhu Shien

Zhu, Shien; Li, Shiqing; Liu, Weichen, 2022, "Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations", https://doi.org/10.21979/N9/JNFW9P, DR-NTU (Data), V2, UNF:6:L3+xW/BxBE6fYNWBm4ta6Q== [fileUNF]

The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

CAPIM-00s11_voltage-08-10_SL-10-04_MUX8.png

May 12, 2022 - Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

PNG Image - 588.6 KB -

CAPIM-11a00_voltage-08-10_SL-071-04_MUX8.png

May 12, 2022 - Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

PNG Image - 553.3 KB -

CAPIM-11s00_voltage-08-10_SL-08-04_MUX8.png

May 12, 2022 - Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations

PNG Image - 583.5 KB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications