Chun-Nan Chou - RankMe

23 papers A* 4A 3B 1C 1Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LAUD: Integrating Large Language Models with Active Learning for Unlabeled Data. CoRR Tzu-Hsuan Chou, Chun-Nan Chou
2019	—	`conf`	Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. MIPR Chun-Hsien Yu, Chun-Nan Chou, Emily Chang
2019	J	`jnl`	Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning. CoRR Chun-Hsien Yu, Chun-Nan Chou, Emily Chang
2019	A*	`conf`	EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks. AAAI Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
2019	J	`jnl`	G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data. CoRR Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou, Edward Y. Chang
2019	A*	`conf`	MBS: Macroblock Scaling for CNN Model Reduction. CVPR Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
2019	—	`conf`	Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses. MIPR Fu-Chieh Chang, Jocelyn Chang, Chun-Nan Chou, Edward Y. Chang
2018	J	`jnl`	BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks. CoRR Sheng-Wei Chen, Chun-Nan Chou, Edward Y. Chang
2018	—	`conf`	BRIEF: Backward Reduction of CNNs with Information Flow Analysis. AIVR Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
2018	J	`jnl`	Backward Reduction of CNN Models with Information Flow Analysis. CoRR Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
2018	J	`jnl`	MBS: Macroblock Scaling for CNN Model Reduction. CoRR Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang
2017	—	`conf`	Artificial Intelligence in XPRIZE DeepQ Tricorder. MMHealth@MM Edward Y. Chang, Meng-Hsi Wu, Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou
2017	A*	`conf`	CLKN: Cascaded Lucas-Kanade Networks for Image Alignment. CVPR Che-Han Chang, Chun-Nan Chou, Edward Y. Chang
2017	C	`conf`	Distributed Training Large-Scale Deep Architectures. ADMA 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
2017	J	`jnl`	Distributed Training Large-Scale Deep Architectures. CoRR 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
2017	J	`jnl`	Representation Learning on Large and Small Data. CoRR Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang, Jocelyn Chang, Edward Y. Chang
2017	—	`conf`	Toward Personalized Treatment of Chronic Diseases: The CKDCase Study. MMHealth@MM Chih-Yang Chen, Chun-Nan Chou, I-Wen Wu
2015	—	`conf`	Transfer representation learning for medical image analysis. EMBC Chuen-Kai Shie, Chung-Hisang Chuang, Chun-Nan Chou, Meng-Hsi Wu, Edward Y. Chang
2013	A	`conf`	Conquering the scheduling alternative explosion problem of SystemC symbolic simulation. ICCAD Chun-Nan Chou, Chen-Kai Chu, Chung-Yang (Ric) Huang
2012	A	`conf`	Multi-patch generation for multi-error logic rectification by interpolation with cofactor reduction. DATE Kai-Fu Tang, Po-Kai Huang, Chun-Nan Chou, Chung-Yang Huang
2012	A*	`conf`	Symbolic model checking on SystemC designs. DAC Chun-Nan Chou, Yen-Sheng Ho, Chiao Hsieh, Chung-Yang (Ric) Huang
2010	A	`conf`	Formal deadlock checking on high-level SystemC designs. ICCAD Chun-Nan Chou, Chang-Hong Hsu, Yueh-Tung Chao, Chung-Yang Huang
2005	B	`conf`	The NP-Hardness and the Algorithm for Real-Time Disk-Scheduling in a Multimedia System. RTCSA Pei-Chi Huang, Wan-Chen Lu, Chun-Nan Chou, Wei-Kuan Shih