| Lexical simplification with pretrained encoders J Qiang, Y Li, Y Zhu, Y Yuan, X Wu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8649-8656, 2020 | 96 | 2020 |
| Lsbert: Lexical simplification based on bert J Qiang, Y Li, Y Zhu, Y Yuan, Y Shi, X Wu IEEE/ACM transactions on audio, speech, and language processing 29, 3064-3076, 2021 | 54 | 2021 |
| Sentence simplification via large language models Y Feng, J Qiang, Y Li, Y Yuan, Y Zhu arXiv preprint arXiv:2302.11957, 2023 | 44 | 2023 |
| Transfer learning with stacked reconstruction independent component analysis Y Zhu, X Hu, Y Zhang, P Li Knowledge-Based Systems 152, 100-106, 2018 | 41 | 2018 |
| Personalized recommendation with knowledge graph via dual-autoencoder Y Yang, Y Zhu, Y Li Applied Intelligence 52 (6), 6196-6207, 2022 | 34 | 2022 |
| Prompt-learning for short text classification Y Zhu, Y Wang, J Qiang, X Wu IEEE Transactions on Knowledge and Data Engineering, 2023 | 33 | 2023 |
| Natural language watermarking via paraphraser-based lexical substitution J Qiang, S Zhu, Y Li, Y Zhu, Y Yuan, X Wu Artificial Intelligence 317, 103859, 2023 | 31 | 2023 |
| Representation learning with collaborative autoencoder for personalized recommendation Y Zhu, X Wu, J Qiang, Y Yuan, Y Li Expert Systems with Applications 186, 115825, 2021 | 29 | 2021 |
| Hybrid collaborative recommendation via dual-autoencoder B Dong, Y Zhu, L Li, X Wu IEEE Access 8, 46030-46040, 2020 | 28 | 2020 |
| Transfer learning with deep manifold regularized auto-encoders Y Zhu, X Wu, P Li, Y Zhang, X Hu Neurocomputing 369, 145-154, 2019 | 28 | 2019 |
| Lsbert: A simple framework for lexical simplification J Qiang, Y Li, Y Zhu, Y Yuan, X Wu arXiv preprint arXiv:2006.14939, 2020 | 27 | 2020 |
| Combining embedding-based and symbol-based methods for entity alignment T Jiang, C Bu, Y Zhu, X Wu Pattern Recognition 124, 108433, 2022 | 24 | 2022 |
| An unsupervised method for building sentence simplification corpora in multiple languages X Lu, J Qiang, Y Li, Y Yuan, Y Zhu arXiv preprint arXiv:2109.00165, 2021 | 24 | 2021 |
| Representation learning via serial autoencoders for domain adaptation S Yang, Y Zhang, Y Zhu, P Li, X Hu Neurocomputing 351, 1-9, 2019 | 23 | 2019 |
| A simple BERT-based approach for lexical simplification J Qiang, Y Li, Y Zhu, Y Yuan, X Wu arXiv preprint arXiv:1907.06226, 2019 | 21 | 2019 |
| Semi-supervised representation learning via dual autoencoders for domain adaptation S Yang, H Wang, Y Zhang, P Li, Y Zhu, X Hu Knowledge-Based Systems 190, 105161, 2020 | 20 | 2020 |
| A hybrid classification method via character embedding in Chinese short text with few words Y Zhu, Y Li, Y Yue, J Qiang, Y Yuan IEEE Access 8, 92120-92128, 2020 | 18 | 2020 |
| Two-stage entity alignment: combining hybrid knowledge graph embedding with similarity-based relation alignment T Jiang, C Bu, Y Zhu, X Wu PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 17 | 2019 |
| Hybrid collaborative recommendation of co-embedded item attributes and graph features B Dong, Y Zhu, L Li, X Wu Neurocomputing 442, 307-316, 2021 | 16 | 2021 |
| Representation learning with deep sparse auto-encoder for multi-task learning Y Zhu, X Wu, J Qiang, X Hu, Y Zhang, P Li Pattern Recognition 129, 108742, 2022 | 15 | 2022 |
Jipeng QiangYangzhou UniversityGeverifieerd e-mailadres voor yzu.edu.cn