En-Ming Huang

Orcid: 0000-0003-2196-2834

According to our database1, En-Ming Huang authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Warp-STAR: High-performance, Differentiable GPU-Accelerated Static Timing Analysis through Warp-oriented Parallel Orchestration.
CoRR, March, 2026

SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation.
CoRR, March, 2026

EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization.
CoRR, January, 2026

Efficient CPU-GPU Collaborative Inference for MoE-based LLMs on Memory-Limited Systems.
Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025
Reproducing Performance of Data-Centric Python by SCC Team From National Tsing Hua University.
IEEE Trans. Parallel Distributed Syst., May, 2025

CIM for Transformer Models: Enhancing Large Language Model Inference Efficiency.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

V-SYNC-Aware GPU DVFS Governor for Efficient Game Application Execution on Mobile Devices.
Proceedings of the 26th International Symposium on Quality Electronic Design, 2025

2024
WER: Maximizing Parallelism of Irregular Graph Applications Through GPU Warp EqualizeR.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Ensemble Fusion for Small Object Detection.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Optimization of multi-class 0/1 knapsack problem on GPUs by improving memory access efficiency.
J. Supercomput., 2022


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