College of Computing and Data Science (CCDS)

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21 to 30 of 5,149 Results

README.md Jun 5, 2026 - SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention Markdown Text - 1.8 KB - MD5: eb67689c97cefed046d58b29069e07dd
triton_hybrid_attention.py Jun 5, 2026 - SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention Python Source Code - 19.5 KB - MD5: 03f2cea41e20cf1399f7cd2e5b70b0da
utils.py Jun 5, 2026 - SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention Python Source Code - 10.0 KB - MD5: 771028bb5097c590967ea248fb64e151
Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization Jun 5, 2026 - Other Projects of the Liu Team Jiayu, Zhao; Zihan, Teng; Minhao, Fan; Tianrui, Ma; Wentao, Ren; Song, Chen; Weichen, Liu, 2026, "Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization", https://doi.org/10.21979/N9/R7OS8U, DR-NTU (Data), V1 The dataset includes the source codes and readme file for implementing the design presented in the paper "BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization"
BitsMoE.tar.gz Jun 5, 2026 - Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization Gzip Archive - 45.8 MB - MD5: f33e242238011385e01f401b8e49edb9 Code The open-source code can also be accessed from either of the following repositories: https://github.com/zjiayu064/BitsMoE or https://github.com/ntuliuteam/BitsMoE.
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
Other Projects of the Liu Team(Nanyang Technological University) Apr 9, 2026LIU Weichen
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

README.md

Jun 5, 2026 - SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention

Markdown Text - 1.8 KB -

triton_hybrid_attention.py

Jun 5, 2026 - SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention

Python Source Code - 19.5 KB -

utils.py

Jun 5, 2026 - SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention

Python Source Code - 10.0 KB -

Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization

Jun 5, 2026 - Other Projects of the Liu Team

Jiayu, Zhao; Zihan, Teng; Minhao, Fan; Tianrui, Ma; Wentao, Ren; Song, Chen; Weichen, Liu, 2026, "Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization", https://doi.org/10.21979/N9/R7OS8U, DR-NTU (Data), V1

The dataset includes the source codes and readme file for implementing the design presented in the paper "BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization"

BitsMoE.tar.gz

Jun 5, 2026 - Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization

Gzip Archive - 45.8 MB -

Code

The open-source code can also be accessed from either of the following repositories: https://github.com/zjiayu064/BitsMoE or https://github.com/ntuliuteam/BitsMoE.

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 -

Other Projects of the Liu Team(Nanyang Technological University)

Apr 9, 2026LIU Weichen

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 -

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