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2020 – today
- 2024
[i6]Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang, Hao-Wei Chen, Roy Tseng, Chien Feng, Chun-Yi Lee:
Boosting Flow-based Generative Super-Resolution Models via Learned Prior. CoRR abs/2403.10988 (2024)- 2023
- [c8]Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee:
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1776-1785 - [i5]Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee:
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution. CoRR abs/2303.05156 (2023) - 2022
- [c7]Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Chen-Hao Chao, Bo-Wun Cheng, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee:
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA. BMVC 2022: 108 - [c6]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee:
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. ICLR 2022 - [i4]Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee:
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. CoRR abs/2203.14206 (2022) - [i3]Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Bo-Wun Cheng, Chen-Hao Chao, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee:
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA. CoRR abs/2211.08888 (2022) - 2021
- [c5]Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou:
CLCC: Contrastive Learning for Color Constancy. CVPR 2021: 8053-8063 - [i2]Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou:
CLCC: Contrastive Learning for Color Constancy. CoRR abs/2106.04989 (2021)
2010 – 2019
- 2019
- [c4]Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
See-Through-Text Grouping for Referring Image Segmentation. ICCV 2019: 7453-7462 - [c3]Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
One-Shot Object Detection with Co-Attention and Co-Excitation. NeurIPS 2019: 2721-2730 - [i1]Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
One-Shot Object Detection with Co-Attention and Co-Excitation. CoRR abs/1911.12529 (2019) - 2013
- [j3]Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh
, Shou-De Lin, Jian Pei:
What distinguish one from its peers in social networks? Data Min. Knowl. Discov. 27(3): 396-420 (2013) - [j2]Yi-Chen Lo, Hung-Che Lai, Cheng-Te Li, Shou-De Lin:
Mining and generating large-scaled social networks via MapReduce. Soc. Netw. Anal. Min. 3(4): 1449-1469 (2013) - 2012
- [c2]Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, Shou-De Lin:
Exploiting and Evaluating MapReduce for Large-Scale Graph Mining. ASONAM 2012: 434-441 - [c1]Yi-Chen Lo, Cheng-Te Li, Shou-De Lin:
Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory. SocialCom/PASSAT 2012: 229-238
2000 – 2009
- 2008
- [j1]Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Juiling Huang, Woei-Fuh Wang, Yi-Chen Lo:
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling. BMC Bioinform. 9 (2008)
Coauthor Index
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