LIU Weichen

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

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21 to 30 of 1,120 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 Documentation
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 Zhao, Jiayu; Teng, Zihan; Fan, Minhao; Ma, Tianrui; Ren, Wentao; Chen, Song; Liu, Weichen, 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.
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"

README.md

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

Markdown Text - 1.8 KB -

Documentation

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

Zhao, Jiayu; Teng, Zihan; Fan, Minhao; Ma, Tianrui; Ren, Wentao; Chen, Song; Liu, Weichen, 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.

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"

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