College of Computing and Data Science (CCDS)

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1 to 10 of 5,046 Results

PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies Apr 28, 2026 - S-Lab for Advanced Intelligence Xu, Yuanmu; Hou, Guanli; Hu, Jiangbei; Ren, Tenglong; Wang, Xiaokun; Zhang, Yalan; Ban, Xiaojuan; Qian, Chen; Hou, Fei; He, Ying, 2025, "PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies", https://doi.org/10.21979/N9/LTXKFL, DR-NTU (Data), V2 This paper tackles the challenges of physics-based simulation of rigid bodies in neural rendering, focusing on 3D model representation and collision handling. A synthetic and real-world dataset is also included in the paper.
PGA-NeuS dataset.rar Apr 28, 2026 - PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies Compressed Archive - 462.9 MB - MD5: bf5921041d638ae5ea5bbc8d236344b6
Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems Apr 7, 2026 - Luo Xiangzhong Luo, Xiangzhong; Liu, Weichen, 2026, "Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems", https://doi.org/10.21979/N9/VVAKSR, DR-NTU (Data), V1 The dataset includes the source codes and readme file for implementing the design presented in the paper "Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and S...
DW-NAS-main.zip Apr 7, 2026 - Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems ZIP Archive - 917.3 KB - MD5: e180c5f85b9780fb296f5624ca3a6e0e
Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems Apr 7, 2026 - Luo Xiangzhong Luo, Xiangzhong; Liu, Di; Kong, Hao; Huai, Shuo; Liu, Weichen, 2026, "Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems", https://doi.org/10.21979/N9/BIOGHZ, DR-NTU (Data), V1 The dataset includes the source codes and readme file for implementing the design presented in the paper "Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems"
DW-NAS-main.zip Apr 7, 2026 - Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems ZIP Archive - 917.3 KB - MD5: e180c5f85b9780fb296f5624ca3a6e0e
Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines Mar 13, 2026 - Other Projects of the Liu Team Wu, Ting; Long, Linbo; Ma, Zhulin; Yu, Qiushuang; Tian, Hang; Liu, Weichen, 2026, "Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines", https://doi.org/10.21979/N9/BUO9DY, DR-NTU (Data), V1 The dataset includes the source codes and readme file for implementing the design presented in the paper "Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines"
balloc.c Mar 13, 2026 - Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines C++ Source - 7.6 KB - MD5: 811af26b8bcd31a683bd03c749d8eaa6
balloc.o Mar 13, 2026 - Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines Unknown - 173.3 KB - MD5: 285b3e3cf148a4560194eb01f9f2e631
.balloc.o.cmd Mar 13, 2026 - Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines Unknown - 36.5 KB - MD5: a654b4a1ca3766b0dc9b6e06e83ed184

PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies

Apr 28, 2026 - S-Lab for Advanced Intelligence

Xu, Yuanmu; Hou, Guanli; Hu, Jiangbei; Ren, Tenglong; Wang, Xiaokun; Zhang, Yalan; Ban, Xiaojuan; Qian, Chen; Hou, Fei; He, Ying, 2025, "PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies", https://doi.org/10.21979/N9/LTXKFL, DR-NTU (Data), V2

This paper tackles the challenges of physics-based simulation of rigid bodies in neural rendering, focusing on 3D model representation and collision handling. A synthetic and real-world dataset is also included in the paper.

PGA-NeuS dataset.rar

Apr 28, 2026 - PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies

Compressed Archive - 462.9 MB -

Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems

Apr 7, 2026 - Luo Xiangzhong

Luo, Xiangzhong; Liu, Weichen, 2026, "Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems", https://doi.org/10.21979/N9/VVAKSR, DR-NTU (Data), V1

The dataset includes the source codes and readme file for implementing the design presented in the paper "Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and S...

DW-NAS-main.zip

Apr 7, 2026 - Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems

ZIP Archive - 917.3 KB -

Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems

Apr 7, 2026 - Luo Xiangzhong

Luo, Xiangzhong; Liu, Di; Kong, Hao; Huai, Shuo; Liu, Weichen, 2026, "Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems", https://doi.org/10.21979/N9/BIOGHZ, DR-NTU (Data), V1

The dataset includes the source codes and readme file for implementing the design presented in the paper "Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems"

DW-NAS-main.zip

Apr 7, 2026 - Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems

ZIP Archive - 917.3 KB -

Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines

Mar 13, 2026 - Other Projects of the Liu Team

Wu, Ting; Long, Linbo; Ma, Zhulin; Yu, Qiushuang; Tian, Hang; Liu, Weichen, 2026, "Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines", https://doi.org/10.21979/N9/BUO9DY, DR-NTU (Data), V1

The dataset includes the source codes and readme file for implementing the design presented in the paper "Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines"

balloc.c

Mar 13, 2026 - Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines

C++ Source - 7.6 KB -

balloc.o

Mar 13, 2026 - Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines

Unknown - 173.3 KB -

.balloc.o.cmd

Mar 13, 2026 - Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines

Unknown - 36.5 KB -

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