A Lossless Image Coder Integrating Predictors and Block-Adaptive Prediction. - Feng-Yang Hsieh; Chia-Ming Wang; Chun-Chieh Lee; Kuo-Chin Fan (J. Inf. Sci. Eng., 2008)

Efficient multi-resolution histogram matching for fast image/video retrieval. - Chih-Chang Yu; Fan-Di Jou; Chun-Chieh Lee; Kuo-Chin Fan; Thomas C. Chuang (Pattern Recognit. Lett., 2008)

Accelerating Sketch-Based Computations with GPU: A Case Study for Network Traffic Change Detection. - Theophilus Wellem; Yu-Kuen Lai; Chun-Chieh Lee; Kuei-Sheng Yang (ANCS, 2011)

Frame difference history image for gait recognition. - Chun-Chieh Lee; Chi-Hung Chuang; Jun-Wei Hsieh; Ming-Xuan Wu; Kuo-Chin Fan (ICMLC, 2011)

Human Body Part Segmentation of Interacting People by Learning Blob Models. - Chi-Hung Chuang; Jun-Wei Hsieh; Chun-Chieh Lee; Ying-Nong Chen; Luo-Wei Tsai (IIH-MSP, 2012)

Cross view gait recognition by metric learning. - Chun-Chieh Lee; Chi-Hung Chuang; Fanzi Wu; Luo-Wei Tsai; Kuo-Chin Fan (ICCE-TW, 2014)

Real-time detection of changes in network with OpenFlow based on NetFPGA implementation. - Yu-Kuen Lai; Chun-Chieh Lee; Bo-Hsun Huang; Theophilus Wellem; Nan-Cheng Wang; Tze-Yu Chou; Hargyo Tri Nugroho (Microprocess. Microsystems, 2014)

Enhanced Bandwidth Allocation Using the Statistics of Arrival (EBACSOA): A Scheduling Algorithm for WiMAX Network. - Hann-Tzong Chern; Chun-Chieh Lee; Jhih-Syue Jhou (IEICE Trans. Commun., 2015)

CSL-YOLO: A New Lightweight Object Detection System for Edge Computing. - Yu-Ming Zhang; Chun-Chieh Lee; Jun-Wei Hsieh; Kuo-Chin Fan (CoRR, 2021)

SFPN: Synthetic FPN for Object Detection. - Yu-Ming Zhang; Jun-Wei Hsieh; Chun-Chieh Lee; Kuo-Chin Fan (ICIP, 2022)

CSL-YOLO: A Cross-Stage Lightweight Object Detector with Low FLOPs. - Yu-Ming Zhang; Chun-Chieh Lee; Jun-Wei Hsieh; Kuo-Chin Fan (ISCAS, 2022)

Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge. - Yu-Ming Zhang; Jun-Wei Hsieh; Chun-Chieh Lee; Kuo-Chin Fan (CoRR, 2022)

RATs-NAS: Redirection of Adjacent Trails on GCN for Neural Architecture Search. - Yu-Ming Zhang; Jun-Wei Hsieh; Chun-Chieh Lee; Kuo-Chin Fan (CoRR, 2023)

Develop a Lightweight Convolutional Neural Network to Recognize Palms Using 3D Point Clouds. - Yu-Ming Zhang; Chia-Yuan Cheng; Chih-Lung Lin; Chun-Chieh Lee; Kuo-Chin Fan (Inf., 2023)

Strengthening 3D Point Cloud Classification through Self-Attention and Plane Features. - Jin-Cheng Liu; Jun-Wei Hsieh; Yu-Ming Zhang; Chun-Chieh Lee; Kuo-Chin Fan (AVSS, 2024)

Set-Nas: Sample-Efficient Training For Neural Architecture Search With Strong Predictor And Stratified Sampling. - Yu-Ming Zhang; Jun-Wei Hsieh; Yu-Hsiu Chang; Xin Li 005; Ming-Ching Chang; Chun-Chieh Lee; Kuo-Chin Fan (ICIP, 2024)

MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search. - Yuming Zhang; Jun-Wei Hsieh; Xin Li 005; Ming-Ching Chang; Chun-Chieh Lee; Kuo-Chin Fan (NeurIPS, 2024)

CASML: Combining Cross-Scale Attention and Separate Mix-Layer for Lightweight Classification Network. - Po-Yu Liao; Yu-Min Zhang; Jun-Wei Hsieh; Chun-Chieh Lee; Kuo-Chin Fan (WOCC, 2024)

RATs-NAS: Redirection of Adjacent Trails on Graph Convolutional Networks for Predictor-Based Neural Architecture Search. - Yu-Ming Zhang; Jun-Wei Hsieh; Chun-Chieh Lee; Kuo-Chin Fan (IEEE Trans. Artif. Intell., 2024)