Следене
Chuan-Sheng Foo
Chuan-Sheng Foo
Institute for Infocomm Research; A*STAR Centre for Frontier AI Research
Потвърден имейл адрес: cs.stanford.edu
Заглавие
Позовавания
Позовавания
Година
Expanded encyclopaedias of DNA elements in the human and mouse genomes
JE Moore, MJ Purcaro, HE Pratt, CB Epstein, N Shoresh, J Adrian, T Kawli, ...
Nature 583 (7818), 699-710, 2020
6072020
Efficient GAN-based anomaly detection
H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar
arXiv preprint arXiv:1802.06222, 2018
5362018
Adversarially Learned Anomaly Detection
H Zenati, M Romain, CS Foo, B Lecouat, V Chandrasekhar
2018 IEEE International Conference on Data Mining (ICDM), 727-736, 2018
2612018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ...
arXiv preprint arXiv:1807.02629, 2018
2352018
Interaction graph mining for protein complexes using local clique merging
XL Li, SH Tan, CS Foo, SK Ng
Genome Informatics 16 (2), 260-269, 2005
1822005
Efficient multiple hyperparameter learning for log-linear models
C Foo, CB Do, AY Ng
Advances in neural information processing systems, 377-384, 2008
1262008
Discovering protein complexes in dense reliable neighborhoods of protein interaction networks
XL Li, CS Foo, SK Ng
Comput Syst Bioinformatics Conf 6, 157-168, 2007
1252007
A max-margin model for efficient simultaneous alignment and folding of RNA sequences
CB Do, CS Foo, S Batzoglou
Bioinformatics 24 (13), i68-i76, 2008
1122008
Large-scale whole-genome sequencing of three diverse Asian populations in Singapore
D Wu, J Dou, X Chai, C Bellis, A Wilm, CC Shih, WWJ Soon, N Bertin, ...
Cell 179 (3), 736-749. e15, 2019
932019
Searching for rising stars in bibliography networks
XL Li, CS Foo, KL Tew, SK Ng
Database Systems for Advanced Applications, 288-292, 2009
772009
Proximal regularization for online and batch learning
CB Do, QV Le, CS Foo
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
642009
The Unusual Effectiveness of Averaging in GAN Training.
Y Yazici, CS Foo, S Winkler, KH Yap, G Piliouras, V Chandrasekhar
ICLR (Poster), 2019
62*2019
Contrastive adversarial domain adaptation for machine remaining useful life prediction
M Ragab, Z Chen, M Wu, CS Foo, CK Kwoh, R Yan, X Li
IEEE Transactions on Industrial Informatics 17 (8), 5239-5249, 2020
372020
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
B Lecouat, K Chang, CS Foo, B Unnikrishnan, JM Brown, H Zenati, ...
arXiv preprint arXiv:1812.07832, 2018
322018
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
B Lecouat, CS Foo, H Zenati, VR Chandrasekhar
arXiv preprint arXiv:1805.08957, 2018
272018
Towards Practical Unsupervised Anomaly Detection on Retinal Images
K Ouardini, H Yang, B Unnikrishnan, M Romain, C Garcin, H Zenati, ...
Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019
252019
A majorization-minimization algorithm for (multiple) hyperparameter learning
CS Foo, CB Do, AY Ng
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
252009
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs
L Cai, X Xu, JH Liew, CS Foo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
202021
Scalable and Practical Natural Gradient for Large-Scale Deep Learning
K Osawa, Y Tsuji, Y Ueno, A Naruse, CS Foo, R Yokota
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
192020
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
L Cai, B Zhao, Z Wang, J Lin, CS Foo, MS Aly, V Chandrasekhar
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
192019
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