| Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels F Wang, T Zhao, S Wang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 10 | 2024 |
| A comprehensive survey of small language models in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness F Wang, Z Zhang, X Zhang, Z Wu, T Mo, Q Lu, W Wang, R Li, J Xu, X Tang, ... arXiv preprint arXiv:2411.03350, 2024 | 6 | 2024 |
| InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration F Wang, R Bao, S Wang, W Yu, Y Liu, W Cheng, H Chen EMNLP 2024, 3675--3688, 2024 | 6 | 2024 |
| De-co: A two-step spelling correction model for combating adversarial typos Z Liu, F Wang, Z Lin, L Wang, Z Yin 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 6 | 2020 |
| Maximum entropy loss, the silver bullet targeting backdoor attacks in pre-trained language models Z Liu, B Shen, Z Lin, F Wang, W Wang Findings of the Association for Computational Linguistics: ACL 2023, 3850-3868, 2023 | 5 | 2023 |
| NarGNN: Narrative graph neural networks for new script event prediction problem S Yang, F Wang, D Zha, C Xue, Z Tang 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 4 | 2020 |
| Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge Z Zhang, F Wang, X Li, Z Wu, X Tang, H Liu, Q He, W Yin, S Wang arXiv e-prints, arXiv: 2410.16454, 2024 | 3 | 2024 |
| HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training F Wang, T Zhao, J Xu, S Wang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Macrobert: Maximizing certified region of bert to adversarial word substitutions F Wang, Z Lin, Z Liu, M Zheng, L Wang, D Zha Database Systems for Advanced Applications: 26th International Conference …, 2021 | 2 | 2021 |
| Catastrophic Failure of LLM Unlearning via Quantization Z Zhang, F Wang, X Li, Z Wu, X Tang, H Liu, Q He, W Yin, S Wang arXiv preprint arXiv:2410.16454, 2024 | | 2024 |
| Enhance Graph Alignment for Large Language Models H Luo, X Meng, S Wang, T Zhao, F Wang, H Cao, Y Zhang arXiv preprint arXiv:2410.11370, 2024 | | 2024 |
| BEFSR: A Multiple Attention-Based Model Considering Bidirectional Entity Information Flows and Few-Shot Relations X Guo, N Gao, F Wang, N Mu, L Wang, Y Dong 2022 26th International Conference on Pattern Recognition (ICPR), 4441-4447, 2022 | | 2022 |
| ConvMB: Improving Convolution-Based Knowledge Graph Embeddings by Adopting Multi-Branch 3D Convolution Filters X Guo, F Wang, N Gao, Z Liu, K Liu 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | | 2021 |
| Study and simulation of machining speed connection based on multi-axis linkage NC wood engraving machine. FL Wang, JL Bian, FM Zhang, L Ge, H Ma, GJ Chen Journal of Northeast Forestry University 46 (2), 77-83, 2018 | | 2018 |
Suhang WangPennsylvania State UniversityVerificeret mail på psu.edu