LIU Weichen

Appointment: Nanyang Assistant Professor

Research topics:
• Embedded and Real-Time Systems
• Many-Core Systems
• Electronic/Photonic Network-on-Chip
• Machine Learning Acceleration
• Computer Architecture

Featured Dataverses

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

231 to 240 of 1,026 Results

utils-1.py Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI Python Source Code - 988 B - MD5: 52f6a09702e9f9e3447b7af745472e40
vgg-1.py Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI Python Source Code - 4.7 KB - MD5: 47e70bb8eb5a7c3259c86520ff7e19d0
vgg_cifar-1.yaml Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI Unknown - 479 B - MD5: 89774fdc005a7aedb55eebde5fefc1e2
Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Dec 14, 2023 - Kong Hao Kong, Hao; Liu, Weichen, 2023, "Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs", https://doi.org/10.21979/N9/KSXK4T, DR-NTU (Data), V1 This is the source code repository for the publication "HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs".
-1.gitignore Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 216 B - MD5: 430b6528131d7a3487a50a083601e8c1
-1.gitignore Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 223 B - MD5: fa2643633d5f25005deefe268f0a793b
-1.gitignore Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 162 B - MD5: f880ced6e899eca92edcf3198cdb8a04
adaptnet-1.py Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Python Source Code - 8.3 KB - MD5: c2660b5aa1636aa13782036c5e492e2d
adaptnet.cpython-37.pyc Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 7.1 KB - MD5: 4ef1a82adc249a3fef2565a761d9b20c
adaptnet.cpython-39.pyc Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 5.9 KB - MD5: 1fff3204f74896cb3fc820dc6168b829

utils-1.py

Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

Python Source Code - 988 B -

vgg-1.py

Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

Python Source Code - 4.7 KB -

vgg_cifar-1.yaml

Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

Unknown - 479 B -

Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Dec 14, 2023 - Kong Hao

Kong, Hao; Liu, Weichen, 2023, "Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs", https://doi.org/10.21979/N9/KSXK4T, DR-NTU (Data), V1

This is the source code repository for the publication "HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs".

-1.gitignore

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 216 B -

-1.gitignore

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 223 B -

-1.gitignore

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 162 B -

adaptnet-1.py

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Python Source Code - 8.3 KB -

adaptnet.cpython-37.pyc

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 7.1 KB -

adaptnet.cpython-39.pyc

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 5.9 KB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications