| 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 | 1598 | 2020 |
| Efficient GAN-based anomaly detection H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar arXiv preprint arXiv:1802.06222, 2018 | 908 | 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 | 548 | 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 | 378 | 2018 |
| 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 | 205 | 2021 |
| 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 | 186 | 2019 |
| 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 | 186 | 2005 |
| Efficient multiple hyperparameter learning for log-linear models CB Do, CS Foo, AY Ng Advances in neural information processing systems, 377-384, 2008 | 161 | 2008 |
| 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 | 138 | 2020 |
| Discovering protein complexes in dense reliable neighborhoods of protein interaction networks XL Li, CS Foo, SK Ng Computational Systems Bioinformatics: (Volume 6), 157-168, 2007 | 134 | 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 | 115 | 2008 |
| The unusual effectiveness of averaging in GAN training Y Yaz, CS Foo, S Winkler, KH Yap, G Piliouras, V Chandrasekhar International Conference on Learning Representations, 2018 | 108 | 2018 |
| 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 | 94* | 2021 |
| Searching for rising stars in bibliography networks XL Li, CS Foo, KL Tew, SK Ng Database Systems for Advanced Applications, 288-292, 2009 | 84 | 2009 |
| 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 | 82 | 2023 |
| On representation knowledge distillation for graph neural networks CK Joshi, F Liu, X Xun, J Lin, CS Foo IEEE Transactions on Neural Networks and Learning Systems, 2022 | 77 | 2022 |
| Validation Free and Replication Robust Volume-based Data Valuation X Xinyi, Z Wu, CS Foo, BKH Low Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 77* | 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 | 74 | 2021 |
| Proximal regularization for online and batch learning CB Do, QV Le, CS Foo Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 68 | 2009 |
| Incentivizing collaboration in machine learning via synthetic data rewards SS Tay, X Xu, CS Foo, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9448-9456, 2022 | 52 | 2022 |
Vijay ChandrasekharIEEE Senior Member, R&DVerified email at alumni.stanford.edu
