| Ultrashort peptide nanofibrous hydrogels for the acceleration of healing of burn wounds Y Loo, YC Wong, EZ Cai, CH Ang, A Raju, A Lakshmanan, GWA Chan, ... Biomaterials 35 (17), 4805-4814, 2014 | 206 | 2014 |
| Deep learning for fabrication and maturation of 3D bioprinted tissues and organs WL Ng*, A Chan*, YS Ong, CK Chua Virtual and Physical Prototyping, 1-19, 2020 | 127 | 2020 |
| Enhancement of the sensitivity of magneto-optical fiber sensor by magnifying the birefringence of magnetic fluid film with Loyt-Sagnac interferometer P Zu, CC Chan, GWA Chan, WS Lew, Y Jin, HF Liew, WC Wong, X Dong Sensors and Actuators B: Chemical 191, 19-23, 2014 | 118 | 2014 |
| Jacobian Adversarially Regularized Networks for Robustness A Chan, Y Tay, YS Ong, J Fu Eighth International Conference on Learning Representations (ICLR 2020), 2019 | 87 | 2019 |
| Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with Parameters A Zhang, Y Tay, S Zhang, A Chan, AT Luu, SC Hui, J Fu Ninth International Conference on Learning Representations (ICLR 2021), 2021 | 80 | 2021 |
| CoCon: A Self-Supervised Approach for Controlled Text Generation A Chan, YS Ong, B Pung, A Zhang, J Fu Ninth International Conference on Learning Representations (ICLR 2021), 2020 | 80 | 2020 |
| Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder A Chan, Y Tay, YS Ong, A Zhang Findings of The 2020 Conference on Empirical Methods in Natural Language …, 2020 | 52 | 2020 |
| What it Thinks is Important is Important: Robustness Transfers through Input Gradients A Chan, Y Tay, YS Ong IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2019 | 52 | 2019 |
| Breaking neural reasoning architectures with metamorphic relation-based adversarial examples A Chan, L Ma, F Juefei-Xu, YS Ong, X Xie, M Xue, Y Liu IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6976-6982, 2021 | 41* | 2021 |
| Poison as a cure: Detecting & neutralizing variable-sized backdoor attacks in deep neural networks A Chan, YS Ong arXiv preprint arXiv:1911.08040, 2019 | 36 | 2019 |
| Deep Extrapolation for Attribute-Enhanced Generation A Chan, A Madani, B Krause, N Naik Advances in Neural Information Processing Systems (NeurIPS 2021) 35, 2021 | 20 | 2021 |
| On orthogonality constraints for transformers A Zhang, A Chan, Y Tay, J Fu, S Wang, S Zhang, H Shao, S Yao, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 17 | 2021 |
| Would you rather? a new benchmark for learning machine alignment with cultural values and social preferences Y Tay, D Ong, J Fu, A Chan, N Chen, AT Luu, C Pal Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 17 | 2020 |
| Survey on AI sustainability: emerging trends on learning algorithms and research challenges Z Chen, M Wu, A Chan, X Li, YS Ong IEEE Computational Intelligence Magazine 18 (2), 60-77, 2023 | 15 | 2023 |
| How does frequency bias affect the robustness of neural image classifiers against common corruption and adversarial perturbations? A Chan, YS Ong, C Tan Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 6 | 2022 |
| Pretraining ecg data with adversarial masking improves model generalizability for data-scarce tasks JY Bo, HW Huang, A Chan, G Traverso arXiv preprint arXiv:2211.07889, 2022 | 3 | 2022 |
| RNA alternative splicing prediction with discrete compositional energy network A Chan, A Korsakova, YS Ong, FR Winnerdy, KW Lim, AT Phan Proceedings of the Conference on Health, Inference, and Learning, 193-203, 2021 | 2 | 2021 |
| Methods and system for deep learning model generation of samples with enhanced attributes A Madani, AGW Chan US Patent App. 17/353,691, 2022 | | 2022 |
| Defences and threats in safe deep learning AGW Chan Nanyang Technological University, 2021 | | 2021 |
| Adversarial Masking for Pretraining ECG Data Improves Downstream Model Generalizability J Bo, HW Huang, A Chan, G Traverso NeurIPS 2022 Workshop on Learning from Time Series for Health, 0 | | |
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEE在 ntu.edu.sg 的电子邮件经过验证
