| Frequency-aware contrastive learning for neural machine translation T Zhang, W Ye, B Yang, L Zhang, X Ren, D Liu, J Sun, S Zhang, H Zhang, ... Proceedings of the AAAI conference on artificial intelligence 36 (10), 11712 …, 2022 | 30 | 2022 |
| Refining traceability links between vulnerability and software component in a vulnerability knowledge graph D Du, X Ren, Y Wu, J Chen, W Ye, J Sun, X Xi, Q Gao, S Zhang Web Engineering: 18th International Conference, ICWE 2018, Cáceres, Spain …, 2018 | 14 | 2018 |
| A security vulnerability threat classification method Y Hou, X Ren, Y Hao, T Mo, W Li Advances on Broad-Band Wireless Computing, Communication and Applications …, 2018 | 5 | 2018 |
| Attention enhanced Chinese word embeddings X Ren, L Zhang, W Ye, H Hua, S Zhang Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 3 | 2018 |
| Unsupervised preference-aware language identification X Ren, B Yang, D Liu, H Zhang, X Lv, L Yao, J Xie Findings of the Association for Computational Linguistics: ACL 2022, 3847-3852, 2022 | 2 | 2022 |
| A dynamic boosted ensemble learning method based on random forest X Ren, C Long, L Zhang, Y Wei, D Du, J Liang, S Zhang, W Li arXiv e-prints, arXiv: 1804.07270, 2018 | 2 | 2018 |
| Dynamic Voting for Efficient Reasoning in Large Language Models M Xue, D Liu, W Lei, X Ren, B Yang, J Xie, Y Zhang, D Peng, J Lv Findings of the Association for Computational Linguistics: EMNLP 2023, 3085-3104, 2023 | 1 | 2023 |
| Effective approaches to neural query language identification X Ren, B Yang, D Liu, H Zhang, X Lv, L Yao, J Xie Computational Linguistics 48 (4), 887-906, 2022 | 1 | 2022 |
| Transvae: a novel variational sequence-to-sequence framework for semi-supervised learning and diversity improvement X Wang, T Hu, X Ren, J Sun, K Liu, M Zhang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 1 | 2021 |
| A Rough Set Based Optimization Method for Elderly Evaluation W Li, T Mo, X Ren, J Zhang, Z Wu International Journal of Intelligence Science 7 (2), 25-53, 2017 | 1 | 2017 |
| An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model Y Tian, M Yang, Y Li, D Liu, X Ren, X Peng, J Lv arXiv preprint arXiv:2403.08433, 2024 | | 2024 |
| Deep Dynamic Boosted Forest H Wang, X Ren, J Sun, W Ye, L Chen, M Yu, S Zhang Asian Conference on Machine Learning, 257-272, 2020 | | 2020 |
