| R-drop: Regularized dropout for neural networks X Liang, L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu Advances in Neural Information Processing Systems 34, 10890-10905, 2021 | 491 | 2021 |
| Cross-domain NER using cross-domain language modeling C Jia, X Liang, Y Zhang Proceedings of the 57th annual meeting of the association for computational …, 2019 | 153 | 2019 |
| Neural relation classification with text descriptions F Ren, D Zhou, Z Liu, Y Li, R Zhao, Y Liu, X Liang Proceedings of the 27th international conference on computational …, 2018 | 26 | 2018 |
| Open-ended long text generation via masked language modeling X Liang, Z Tang, J Li, M Zhang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 19 | 2023 |
| R2-DDI: relation-aware feature refinement for drug–drug interaction prediction J Lin, L Wu, J Zhu, X Liang, Y Xia, S Xie, T Qin, TY Liu Briefings in bioinformatics 24 (1), bbac576, 2023 | 17 | 2023 |
| Multi-teacher distillation with single model for neural machine translation X Liang, L Wu, J Li, T Qin, M Zhang, TY Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 992-1002, 2022 | 17 | 2022 |
| Are the BERT family zero-shot learners? A study on their potential and limitations Y Wang, L Wu, J Li, X Liang, M Zhang Artificial Intelligence 322, 103953, 2023 | 13 | 2023 |
| C2-rec: An effective consistency constraint for sequential recommendation C Liu, X Liu, R Zheng, L Zhang, X Liang, J Li, L Wu, M Zhang, L Lin arXiv preprint arXiv:2112.06668, 2021 | 12 | 2021 |
| Ct4rec: simple yet effective consistency training for sequential recommendation L Chong, X Liu, R Zheng, L Zhang, X Liang, J Li, L Wu, M Zhang, L Lin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 10 | 2023 |
| Dynamic and efficient inference for text generation via BERT family X Liang, J Li, L Wu, Z Cao, M Zhang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 9 | 2023 |
| N-reader: Machine reading comprehension model based on double layers of self-attention L Xiaobo, R Feiliang, L Yongkang J. Chin. Inf. Process. 32 (10), 130-137, 2018 | 7 | 2018 |
| Enhancing low-resource NLP by consistency training with data and model perturbations X Liang, R Mao, L Wu, J Li, M Zhang, Q Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 189-199, 2023 | 5 | 2023 |
| JANUS: Joint autoregressive and non-autoregressive training with auxiliary loss for sequence generation X Liang, L Wu, J Li, M Zhang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
| Randomness Regularization With Simple Consistency Training for Neural Networks J Li, X Liang, L Wu, Y Wang, Q Meng, T Qin, M Zhang, TY Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 3 | 2024 |
| Techkg: A large-scale Chinese technology-oriented knowledge graph F Ren, Y Hou, Y Li, L Pan, Y Zhang, X Liang, Y Liu, Y Guo, R Zhao, ... arXiv preprint arXiv:1812.06722, 2018 | 3 | 2018 |
| Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch Y Ding, X Shi, X Liang, J Li, Q Zhu, M Zhang arXiv preprint arXiv:2410.18693, 2024 | 1 | 2024 |
| Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging X Liang, H Zhang, J Li, J Xu, M Zhang arXiv preprint arXiv:2405.12163, 2024 | | 2024 |
Min ZhangProfessor of Computer Science, Soochow UniversityPotvrđena adresa e-pošte na suda.edu.cn
