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2010 – 2019
- 2019
[c15]Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. AAAI 2019: 3337-3346- [c14]Yu-Hsun Lin
, Chun-Nan Chou, Edward Y. Chang:
MBS: Macroblock Scaling for CNN Model Reduction. CVPR 2019: 9117-9125 - [c13]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: 77-84 - [c12]Chun-Hsien Yu, Chun-Nan Chou, Emily Chang:
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. MIPR 2019: 343-346 - [i7]Chun-Hsien Yu, Chun-Nan Chou, Emily Chang:
Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. CoRR abs/1904.06049 (2019) - [i6]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 abs/1905.12313 (2019) - 2018
- [c11]Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
BRIEF: Backward Reduction of CNNs with Information Flow Analysis. AIVR 2018: 44-52 - [i5]Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang:
BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks. CoRR abs/1802.06502 (2018) - [i4]Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
Backward Reduction of CNN Models with Information Flow Analysis. CoRR abs/1807.05726 (2018) - [i3]Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
MBS: Macroblock Scaling for CNN Model Reduction. CoRR abs/1809.06569 (2018) - 2017
- [c10]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: 18-32 - [c9]Che-Han Chang, Chun-Nan Chou, Edward Y. Chang:
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. CVPR 2017: 3777-3785 - [c8]Edward Y. Chang, Meng-Hsi Wu, Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou:
Artificial Intelligence in XPRIZE DeepQ Tricorder. MMHealth@MM 2017: 11-18 - [c7]Chih-Yang Chen, Chun-Nan Chou, I-Wen Wu:
Toward Personalized Treatment of Chronic Diseases: The CKDCase Study. MMHealth@MM 2017: 73-76 - [i2]Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang:
Representation Learning on Large and Small Data. CoRR abs/1707.09873 (2017) - [i1]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 abs/1709.06622 (2017) - 2015
- [c6]Chuen-Kai Shie, Chung-Hisang Chuang, Chun-Nan Chou, Meng-Hsi Wu, Edward Y. Chang:
Transfer representation learning for medical image analysis. EMBC 2015: 711-714 - 2013
- [c5]Chun-Nan Chou, Chen-Kai Chu, Chung-Yang (Ric) Huang:
Conquering the scheduling alternative explosion problem of SystemC symbolic simulation. ICCAD 2013: 685-690 - 2012
- [c4]Chun-Nan Chou, Yen-Sheng Ho, Chiao Hsieh, Chung-Yang (Ric) Huang:
Symbolic model checking on SystemC designs. DAC 2012: 327-333 - [c3]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: 1567-1572 - 2010
- [c2]Chun-Nan Chou, Chang-Hong Hsu, Yueh-Tung Chao, Chung-Yang Huang:
Formal deadlock checking on high-level SystemC designs. ICCAD 2010: 794-799
2000 – 2009
- 2005
- [c1]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: 260-265
Coauthor Index
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