On robustness of neural semantic parsers S Huang, Z Li, L Qu, L Pan arXiv preprint arXiv:2102.01563, 2021 | 17 | 2021 |
Few-shot semantic parsing for new predicates Z Li, L Qu, S Huang, G Haffari arXiv preprint arXiv:2101.10708, 2021 | 8 | 2021 |
Energy-latency attacks to on-device neural networks via sponge poisoning Z Wang, S Huang, Y Huang, H Cui Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems …, 2023 | 5 | 2023 |
Beyond the model: Data pre-processing attack to deep learning models in Android apps Y Sang, Y Huang, S Huang, H Cui Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems …, 2023 | 4 | 2023 |
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Y Hua, Y Huang, S Huang, T Feng, L Qu, C Bain, R Bassed, G Haffari arXiv preprint arXiv:2406.15490, 2024 | | 2024 |
NAP^ 2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human S Huang, W MacLean, X Kang, A Wu, L Qu, Q Xu, Z Li, X Yuan, G Haffari arXiv preprint arXiv:2406.03749, 2024 | | 2024 |
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices S Huang, L Qu, X Yuan, C Chen Findings of the Association for Computational Linguistics: EMNLP 2023, 4874-4885, 2023 | | 2023 |
Poster: Raising the Temporal Misalignment in Federated Learning B Zhang, S Huang, H Cui, X Liu, Z Yu, B Guo, T Xing 2023 IEEE 43rd International Conference on Distributed Computing Systems …, 2023 | | 2023 |