Zhu Shien

Appointment: PhD student

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.

181 to 189 of 189 Results

ternarize.h May 10, 2022 - Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge C++ Source - 16.6 KB - MD5: b52eb464ea52616dacfb1e0363e13855
ternarize.h May 10, 2022 - Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge C++ Source - 16.6 KB - MD5: b52eb464ea52616dacfb1e0363e13855
version.txt May 10, 2022 - Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge Plain Text - 934 B - MD5: deb561656a4c7359189b4a51b3d93dba
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Dec 21, 2020 Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF] Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020.
gap8.zip Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices ZIP Archive - 1.2 GB - MD5: ce4fc478984c26ed80a6c83abfb1bd8c Code The_GAP8_SDK that contains the compiler and source codes
ICPADS 2020 XOR-Net Latex.zip Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices ZIP Archive - 2.0 MB - MD5: 851043007b84fd2c2599ebd2485c71e1 Documentation The latex folder of the paper
ICPADS_2020_XOR-Net_PPT.pdf Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Adobe PDF - 2.3 MB - MD5: 4a934600b747084740524d91df1c1909 Documentation The PPT for the conference
XOR-Net Performance Summary 2020-7-22.tab Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Tabular Data - 19.2 KB - 17 Variables, 149 Observations - UNF:6:VrCPbjap40q9aQlCjvdQBA== Data The performance of XOR-Net and competing methods.
XOR-Net Power Curve 2020-7-22.tab Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Tabular Data - 2.3 KB - 6 Variables, 60 Observations - UNF:6:xxq6bqFO6DSue3p5nX3/8Q== Data The power consumption of XOR-Net and competing methods.

ternarize.h

May 10, 2022 - Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge

C++ Source - 16.6 KB -

ternarize.h

May 10, 2022 - Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge

C++ Source - 16.6 KB -

version.txt

May 10, 2022 - Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge

Plain Text - 934 B -

Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

Dec 21, 2020

Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF]

Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020.

gap8.zip

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

ZIP Archive - 1.2 GB -

Code

The_GAP8_SDK that contains the compiler and source codes

ICPADS 2020 XOR-Net Latex.zip

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

ZIP Archive - 2.0 MB -

Documentation

The latex folder of the paper

ICPADS_2020_XOR-Net_PPT.pdf