Chuan-Sheng Foo
Chuan-Sheng Foo
Institute for Infocomm Research; A*STAR Centre for Frontier AI Research
Geverifieerd e-mailadres voor cs.stanford.edu
Geciteerd door
Geciteerd door
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
Efficient GAN-based anomaly detection
H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar
arXiv preprint arXiv:1802.06222, 2018
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
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
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
Efficient multiple hyperparameter learning for log-linear models
CB Do, CS Foo, AY Ng
Advances in neural information processing systems, 377-384, 2008
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
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
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
An evaluation of anomaly detection and diagnosis in multivariate time series
A Garg, W Zhang, J Samaran, R Savitha, CS Foo
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2508-2517, 2021
The Unusual Effectiveness of Averaging in GAN Training.
Y Yazici, CS Foo, S Winkler, KH Yap, G Piliouras, V Chandrasekhar
ICLR (Poster), 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
Searching for rising stars in bibliography networks
XL Li, CS Foo, KL Tew, SK Ng
Database Systems for Advanced Applications, 288-292, 2009
Proximal regularization for online and batch learning
CB Do, QV Le, CS Foo
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
X Xinyi, L Lyu, X Ma, C Miao, CS Foo, BKH Low
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
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
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
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
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
Adatime: A benchmarking suite for domain adaptation on time series data
M Ragab, E Eldele, WL Tan, CS Foo, Z Chen, M Wu, CK Kwoh, X Li
ACM Transactions on Knowledge Discovery from Data 17 (8), 1-18, 2023
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