| Understanding and Improving Layer Normalization J Xu, X Sun, Z Zhang, G Zhao, J Lin Advances in Neural Information Processing Systems, 4381-4391, 2019 | 353 | 2019 |
| Raise a child in large language model: Towards effective and generalizable fine-tuning R Xu, F Luo, Z Zhang, C Tan, B Chang, S Huang, F Huang arXiv preprint arXiv:2109.05687, 2021 | 150 | 2021 |
| Pkuseg: A toolkit for multi-domain chinese word segmentation R Luo, J Xu, Y Zhang, Z Zhang, X Ren, X Sun arXiv preprint arXiv:1906.11455, 2019 | 146 | 2019 |
| Be careful about poisoned word embeddings: Exploring the vulnerability of the embedding layers in NLP models W Yang, L Li, Z Zhang, X Ren, X Sun, B He arXiv preprint arXiv:2103.15543, 2021 | 129 | 2021 |
| Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection G Zhao, J Lin, Z Zhang, X Ren, Q Su, X Sun arXiv preprint arXiv:1912.11637, 2019 | 119 | 2019 |
| Rethinking Skip Connection with Layer Normalization F Liu, X Ren, Z Zhang, X Sun, Y Zou Proceedings of the 28th International Conference on Computational …, 2020 | 118* | 2020 |
| MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning G Zhao, X Sun, J Xu, Z Zhang, L Luo arXiv preprint arXiv:1911.09483, 2019 | 59 | 2019 |
| Pretrain-KGE: learning knowledge representation from pretrained language models Z Zhang, X Liu, Y Zhang, Q Su, X Sun, B He Findings of the Association for Computational Linguistics: EMNLP 2020, 259-266, 2020 | 47 | 2020 |
| Exploring the vulnerability of deep neural networks: A study of parameter corruption X Sun, Z Zhang, X Ren, R Luo, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11648 …, 2021 | 38 | 2021 |
| How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Z Zhang, L Lyu, W Wang, L Sun, X Sun arXiv preprint arXiv:2109.01300, 2021 | 32 | 2021 |
| Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models Z Zhang, L Lyu, X Ma, C Wang, X Sun arXiv preprint arXiv:2210.09545, 2022 | 20 | 2022 |
| Automatic translating between ancient Chinese and contemporary Chinese with limited aligned corpora Z Zhang, W Li, Q Su Natural Language Processing and Chinese Computing: 8th CCF International …, 2019 | 20 | 2019 |
| Memorized sparse backpropagation Z Zhang, P Yang, X Ren, Q Su, X Sun Neurocomputing 415, 397-407, 2020 | 16 | 2020 |
| Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks S Chen, W Yang, Z Zhang, X Bi, X Sun arXiv preprint arXiv:2210.07907, 2022 | 15 | 2022 |
| Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects Z Zhang, X Ren, Q Su, X Sun, B He Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 11 | 2021 |
| Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation Z Zhang, Q Su, X Sun arXiv preprint arXiv:2210.06894, 2022 | 10 | 2022 |
| GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization Z Zhang, R Luo, Q Su, X Sun arXiv preprint arXiv:2210.06895, 2022 | 9 | 2022 |
| No Stock is an Island: Learning Internal and Relational Attributes of Stocks with Contrastive Learning S Li, W Li, Z Zhang, R Bao, K Harimoto, X Sun Proceedings of the Fourth Workshop on Financial Technology and Natural …, 2022 | 6 | 2022 |
| Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias Z Zhang, D Chen, H Zhou, F Meng, J Zhou, X Sun arXiv preprint arXiv:2305.04547, 2023 | 5 | 2023 |
| ASAT: Adaptively scaled adversarial training in time series Z Zhang, W Li, R Bao, K Harimoto, Y Wu, X Sun Neurocomputing 522, 11-23, 2023 | 5 | 2023 |
Xu SunAssociate Professor, Peking UniversityVerified email at pku.edu.cn
