| AdverTorch v0. 1: An adversarial robustness toolbox based on pytorch GW Ding, L Wang, X Jin arXiv preprint arXiv:1902.07623, 2019 | 200 | 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 | 64 | 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 | 51 | 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 | 29 | 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 | 27 | 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 | 16 | 2022 |
| Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions X Jin, B Vinzamuri, S Venkatapathy, H Ji, P Natarajan The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 1 | 2023 |
| Schema-based Data Augmentation for Event Extraction X Jin, H Ji Proc. The 2024 Joint International Conference on Computational Linguistics …, 2024 | | 2024 |
| Toward Consistent and Informative Event-Event Temporal Relation Extraction X Jin, H Wen, X Du, H Ji Proc. ACL2023 Workshop on Matching From Unstructured and Structured Data, 2023 | | 2023 |
| 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 |
Heng JiProfessor of Computer Science, University of Illinois Urbana-Champaign, Amazon ScholarΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα illinois.edu
