Chun-Nan Chou

Publication Activity (10 Years)

Years Active: 2005-2019
Publications (10 Years): 16

Top Topics

Inverse Compositional

Deep Architectures

Top Venues

Publications

Chun-Hsien Yu, Chun-Nan Chou, Emily Chang
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. MIPR (2019)
Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. CoRR (2019)
Fu-Chieh Chang, Jocelyn Chang, Chun-Nan Chou, Edward Y. Chang
Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses. MIPR (2019)
Chun-Hsien Yu, Chun-Nan Chou, Emily Chang
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. CoRR (2019)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
MBS: Macroblock Scaling for CNN Model Reduction. CVPR (2019)
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. AAAI (2019)
Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks. CoRR (2018)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
Backward Reduction of CNN Models with Information Flow Analysis. CoRR (2018)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
MBS: Macroblock Scaling for CNN Model Reduction. CoRR (2018)
Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
BRIEF: Backward Reduction of CNNs with Information Flow Analysis. AIVR (2018)
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
Distributed Training Large-Scale Deep Architectures. CoRR (2017)
Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang
Representation Learning on Large and Small Data. CoRR (2017)
Edward Y. Chang, Meng-Hsi Wu, Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou
Artificial Intelligence in XPRIZE DeepQ Tricorder. MMHealth@MM (2017)
Che-Han Chang, Chun-Nan Chou, Edward Y. Chang
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. CVPR (2017)
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
Distributed Training Large-Scale Deep Architectures. ADMA (2017)
Chih-Yang Chen, Chun-Nan Chou, I-Wen Wu
Toward Personalized Treatment of Chronic Diseases: The CKDCase Study. MMHealth@MM (2017)
Chuen-Kai Shie, Chung-Hisang Chuang, Chun-Nan Chou, Meng-Hsi Wu, Edward Y. Chang
Transfer representation learning for medical image analysis. EMBC (2015)
Chun-Nan Chou, Chen-Kai Chu, Chung-Yang (Ric) Huang
Conquering the scheduling alternative explosion problem of SystemC symbolic simulation. ICCAD (2013)
Chun-Nan Chou, Yen-Sheng Ho, Chiao Hsieh, Chung-Yang (Ric) Huang
Symbolic model checking on SystemC designs. DAC (2012)
Kai-Fu Tang, Po-Kai Huang, Chun-Nan Chou, Chung-Yang Huang
Multi-patch generation for multi-error logic rectification by interpolation with cofactor reduction. DATE (2012)
Chun-Nan Chou, Chang-Hong Hsu, Yueh-Tung Chao, Chung-Yang Huang
Formal deadlock checking on high-level SystemC designs. ICCAD (2010)
Pei-Chi Huang, Wan-Chen Lu, Chun-Nan Chou, Wei-Kuan Shih
The NP-Hardness and the Algorithm for Real-Time Disk-Scheduling in a Multimedia System. RTCSA (2005)