Publications
My research focuses on computer architecture, parallel computing, and high-performance computing systems.
16
Total
10
First Author
2
Journals
10
Conferences
En-Ming Huang, Yao-Ting Hsieh, Hsiang-Yu Tsou, Shih-Hao Hung, H.T. Kung, "Towards Training Private LLMs: Exploring Fine-Tuning Language Models on Apple Silicon with RDMA over Thunderbolt", ACM International Conference on Resilience, AI and Cyber-Systems (RACS), 2026
En-Ming Huang, An-Cheng Chang, Bai-Cheng Jeng, Shih-Hao Hung, HT Kung, "Decoding the Skew: Distribution-Aware MoE Inference with Adaptive Kernel Dispatch", arXiv preprint, 2026
En-Ming Huang, Shih-Hao Hung, "Warp-STAR: High-performance, Differentiable GPU-Accelerated Static Timing Analysis through Warp-oriented Parallel Orchestration", The Chips to Systems Conference (DAC), 2026
Mu-Chi Chen, Yu-Hung Kao, Po-Hsuan Huang, Shao-Chun Ho, Hsiang-Yu Tsou, I-Ting Wu, En-Ming Huang, Yu-Kai Hung, Wei-Po Hsin, Cheng Liang, Chia-Heng Tu, Shih-Hao Hung, HT Kung, "SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation", IEEE International Computer Software and Applications Conference (COMPSAC), 2026
En-Ming Huang, Yu-Hung Kao, Ren-Hao Deng, Wei-Po Hsin, Yao-Ting Hsieh, Cheng Liang, Hsiang-Yu Tsou, Mu-Chi Chen, Yu-Kai Hung, Shao-Chun Ho, Po-Hsuang Huang, Shih-Hao Hung, HT Kung, "Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation", arXiv preprint, 2026
Wei-Po Hsin, Ren-Hao Deng, Yao-Ting Hsieh, En-Ming Huang, Shih-Hao Hung, "EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization", arXiv preprint, 2026
En-Ming Huang, Li-Shang Lin, Chun-Yi Lee, "Efficient CPU-GPU Collaborative Inference for MoE-based LLMs on Memory-Limited Systems", Asia and South Pacific Design Automation Conference (ASP-DAC), 2026
En-Ming Huang, Yu-Fu Kao, Yan-Hong Lu, Chun-Yi Lee, "V-SYNC-Aware GPU DVFS Governor for Efficient Game Application Execution on Mobile Devices", International Symposium on Quality Electronic Design (ISQED), 2025
Meng-Syuan Li, Jung-Fang Ke, En-Ming Huang, Zhi-Wei Liu, Yu-Guang Chen, Chun-Yi Lee, "CIM for Transformer Models: Enhancing Large Language Model Inference Efficiency", IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2025
Fu-Chiang ChangEqual contribution, En-Ming HuangEqual contribution, Pin-Yi Kuo, Chan-Yu Mou, Hsu-Tzu Ting, Pang-Ning Wu, Jerry Chou, "Reproducing Performance of Data-Centric Python by SCC Team from National Tsing Hua University", Transactions on Parallel and Distributed Systems, 2024
En-Ming Huang, Bo-Wun Cheng, Meng-hsien Lin, Chun-Yi Lee, Tsung-Tai Yeh, "WER: Maximizing Parallelism of Irregular Graph Applications Through GPU Warp Equalizer", Asia and South Pacific Design Automation Conference (ASP-DAC), 2024
Hao-Yu HouEqual contribution, Mu-Yi ShenEqual contribution, Chia-Chi HsuEqual contribution, En-Ming HuangEqual contribution, Yu-Chen HuangEqual contribution, Yu-Cheng XiaEqual contribution, Chien-Yao Wang, Chun-Yi Lee, "Ensemble Fusion for Small Object Detection", International Conference on Machine Vision Applications (MVA), 2023
Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A Kastner, Tingwei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui, "MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results", International Conference on Machine Vision Applications (MVA), 2023
Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung-Tai Yeh, Chun-Yi Lee, "COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU", Asia and South Pacific Design Automation Conference (ASP-DAC), 2023
Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung-Tai Yeh, Chun-Yi Lee, "Remote Access Tag Array for Efficient GPU Intra-Cluster Data Sharing", Workshop on Synthesis And System Integration of Mixed Information Technologies (SASIMI), 2022
En-Ming Huang, Jerry Chou, "Optimization of Multi-Class 0/1 Knapsack Problem on GPUs by Improving Memory Access Efficiency", The Journal of Supercomputing, 2022