The NP-Hardness and the Algorithm for Real-Time Disk-Scheduling in a Multimedia System. - Pei-Chi Huang; Wan-Chen Lu; Chun-Nan Chou; Wei-Kuan Shih (RTCSA, 2005)

Formal deadlock checking on high-level SystemC designs. - Chun-Nan Chou; Chang-Hong Hsu; Yueh-Tung Chao; Chung-Yang Huang (ICCAD, 2010)

Symbolic model checking on SystemC designs. - Chun-Nan Chou; Yen-Sheng Ho; Chiao Hsieh; Chung-Yang (Ric) Huang (DAC, 2012)

Multi-patch generation for multi-error logic rectification by interpolation with cofactor reduction. - Kai-Fu Tang; Po-Kai Huang; Chun-Nan Chou; Chung-Yang Huang (DATE, 2012)

Conquering the scheduling alternative explosion problem of SystemC symbolic simulation. - Chun-Nan Chou; Chen-Kai Chu; Chung-Yang (Ric) Huang (ICCAD, 2013)

Transfer representation learning for medical image analysis. - Chuen-Kai Shie; Chung-Hisang Chuang; Chun-Nan Chou; Meng-Hsi Wu; Edward Y. Chang (EMBC, 2015)

Distributed Training Large-Scale Deep Architectures. - Shang-Xuan Zou; Chun-Yen Chen; Jui-Lin Wu; Chun-Nan Chou; Chia-Chin Tsao; Kuan-Chieh Tung; Ting-Wei Lin; Cheng-Lung Sung; Edward Y. Chang (ADMA, 2017)

CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. - Che-Han Chang; Chun-Nan Chou; Edward Y. Chang (CVPR, 2017)

Artificial Intelligence in XPRIZE DeepQ Tricorder. - Edward Y. Chang; Meng-Hsi Wu; Kai-Fu Tang; Hao-Cheng Kao; Chun-Nan Chou (MMHealth@MM, 2017)

Toward Personalized Treatment of Chronic Diseases: The CKDCase Study. - Chih-Yang Chen; Chun-Nan Chou; I-Wen Wu (MMHealth@MM, 2017)

Representation Learning on Large and Small Data. - Chun-Nan Chou; Chuen-Kai Shie; Fu-Chieh Chang 001; Jocelyn Chang; Edward Y. Chang (CoRR, 2017)

BRIEF: Backward Reduction of CNNs with Information Flow Analysis. - Yu-Hsun Lin; Chun-Nan Chou; Edward Y. Chang (AIVR, 2018)

BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks. - Sheng-Wei Chen 001; Chun-Nan Chou; Edward Y. Chang (CoRR, 2018)

Backward Reduction of CNN Models with Information Flow Analysis. - Yu-Hsun Lin; Chun-Nan Chou; Edward Y. Chang (CoRR, 2018)

EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. - Sheng-Wei Chen 001; Chun-Nan Chou; Edward Y. Chang (AAAI, 2019)

MBS: Macroblock Scaling for CNN Model Reduction. - Yu-Hsun Lin; Chun-Nan Chou; Edward Y. Chang (CVPR, 2019)

Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses. - Fu-Chieh Chang 001; Jocelyn Chang; Chun-Nan Chou; Edward Y. Chang (MIPR, 2019)

Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. - Chun-Hsien Yu; Chun-Nan Chou; Emily Chang (MIPR, 2019)

G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. - Fu-Chieh Chang 001; Hao-Jen Wang; Chun-Nan Chou; Edward Y. Chang (CoRR, 2019)