Optimization of multi-class 0/1 knapsack problem on GPUs by improving memory access efficiency. - En-Ming Huang; Jerry Chou 001 (J. Supercomput., 2022)

COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU. - Bo-Wun Cheng; En-Ming Huang; Chen-Hao Chao; Wei-Fang Sun; Tsung Tai Yeh; Chun-Yi Lee (ASP-DAC, 2023)

Ensemble Fusion for Small Object Detection. - Hao-Yu Hou; Mu-Yi Shen; Chia-Chi Hsu; En-Ming Huang; Yu-Chen Huang; Yu-Cheng Xia; Chien-Yao Wang; Chun-Yi Lee (MVA, 2023)

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results. - 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; et al. (MVA, 2023)

WER: Maximizing Parallelism of Irregular Graph Applications Through GPU Warp EqualizeR. - En-Ming Huang; Bo-Wun Cheng; Meng-Hsien Lin; Chun-Yi Lee; Tsung Tai Yeh (ASPDAC, 2024)

V-SYNC-Aware GPU DVFS Governor for Efficient Game Application Execution on Mobile Devices. - En-Ming Huang; Yu-Fu Kao; Yan-Hong Lu; Chun-Yi Lee (ISQED, 2025)

CIM for Transformer Models: Enhancing Large Language Model Inference Efficiency. - Meng-Syuan Li; Jung-Fang Ke; En-Ming Huang; Zhi-Wei Liu; Yu-Guang Chen; Chun-Yi Lee (ISVLSI, 2025)

Reproducing Performance of Data-Centric Python by SCC Team From National Tsing Hua University. - Fu-Chiang Chang; En-Ming Huang; Pin-Yi Kuo; Chan-Yu Mou; Hsu-Tzu Ting; Pang-Ning Wu; Jerry Chou 001 (IEEE Trans. Parallel Distributed Syst., 2025)