AdverTorch v0. 1: An adversarial robustness toolbox based on pytorch GW Ding, L Wang, X Jin arXiv preprint arXiv:1902.07623, 2019 | 163 | 2019 |
On the Sensitivity of Adversarial Robustness to Input Data Distributions. GW Ding, KYC Lui, X Jin, L Wang, R Huang ICLR (Poster) 4, 2019 | 49 | 2019 |
Chemical-Reaction-Aware Molecule Representation Learning H Wang, W Li, X Jin, K Cho, H Ji, J Han, MD Burke International Conference on Learning Representations, 2021 | 24 | 2021 |
Gender, confidence, and mark prediction in CS examinations B Harrington, S Peng, X Jin, M Khan Proceedings of the 23rd Annual ACM Conference on Innovation and Technology …, 2018 | 19 | 2018 |
Resin-11: Schema-guided event prediction for 11 newsworthy scenarios X Du, Z Zhang, S Li, P Yu, H Wang, T Lai, X Lin, Z Wang, I Liu, B Zhou, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 5 | 2022 |
Event Schema Induction with Double Graph Autoencoders X Jin, M Li, H Ji 2022 Annual Conference of the North American Chapter of the Association for …, 2022 | 3 | 2022 |
System and method for machine learning architecture with adversarial attack defense W Ding, L Wang, R Huang, JIN Xiaomeng, KYC Lui US Patent 11,520,899, 2022 | | 2022 |