| Efficient GAN-based anomaly detection H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar arXiv preprint arXiv:1802.06222, 2018 | 241 | 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 | 164 | 2005 |
| 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 | 118 | 2018 |
| 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 | 113 | 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 | 99 | 2008 |
| 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 | 97 | 2020 |
| Efficient multiple hyperparameter learning for log-linear models C Foo, CB Do, AY Ng Advances in neural information processing systems, 377-384, 2008 | 97 | 2008 |
| 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 | 95 | 2018 |
| Searching for rising stars in bibliography networks XL Li, CS Foo, KL Tew, SK Ng Database Systems for Advanced Applications, 288-292, 2009 | 65 | 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 | 61 | 2009 |
| 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 | 30 | 2019 |
| The unusual effectiveness of averaging in GAN training Y Yazici, CS Foo, S Winkler, KH Yap, G Piliouras, V Chandrasekhar arXiv preprint arXiv:1806.04498, 2018 | 23* | 2018 |
| 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 | 22 | 2009 |
| Semi-Supervised Learning with GANs: Revisiting Manifold Regularization B Lecouat, CS Foo, H Zenati, VR Chandrasekhar arXiv preprint arXiv:1805.08957, 2018 | 17 | 2018 |
| 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 | 13 | 2018 |
| Manifold regularization with GANs for semi-supervised learning B Lecouat, CS Foo, H Zenati, V Chandrasekhar arXiv preprint arXiv:1807.04307, 2018 | 11 | 2018 |
| The C2H2-ZF transcription factor Zfp335 recognizes two consensus motifs using separate zinc finger arrays BY Han, CS Foo, S Wu, JG Cyster Genes & Development 30 (13), 1509-1514, 2016 | 11 | 2016 |
| 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 | 9 | 2019 |
| Zinc finger protein Zfp335 is required for the formation of the naļve T cell compartment BY Han, S Wu, CS Foo, RM Horton, CN Jenne, SR Watson, B Whittle, ... Elife 3, e03549, 2014 | 9 | 2014 |
| 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 | 7 | 2019 |
Vijay ChandrasekharIEEE Senior Member, R&DVerified email at alumni.stanford.edu
