| Short text topic modeling techniques, applications, and performance: a survey J Qiang, Z Qian, Y Li, Y Yuan, X Wu IEEE Transactions on Knowledge and Data Engineering 34 (3), 1427-1445, 2020 | 379 | 2020 |
| Topic modeling over short texts by incorporating word embeddings J Qiang, P Chen, T Wang, X Wu Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 155 | 2017 |
| 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 | 105 | 2020 |
| Text simplification using neural machine translation T Wang, P Chen, J Rochford, J Qiang Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 77 | 2016 |
| Multi-document summarization using closed patterns JP Qiang, P Chen, W Ding, F Xie, X Wu Knowledge-Based Systems 99, 28-38, 2016 | 68 | 2016 |
| Novel discrete-time recurrent neural networks handling discrete-form time-variant multi-augmented Sylvester matrix problems and manipulator application Y Shi, L Jin, S Li, J Li, J Qiang, DK Gerontitis IEEE Transactions on Neural Networks and Learning Systems 33 (2), 587-599, 2020 | 65 | 2020 |
| An experimental study of LSTM encoder-decoder model for text simplification T Wang, P Chen, K Amaral, J Qiang arXiv preprint arXiv:1609.03663, 2016 | 58 | 2016 |
| 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 | 56 | 2021 |
| Sentence simplification via large language models Y Feng, J Qiang, Y Li, Y Yuan, Y Zhu arXiv preprint arXiv:2302.11957, 2023 | 53 | 2023 |
| Short text clustering based on Pitman-Yor process mixture model J Qiang, Y Li, Y Yuan, X Wu Applied Intelligence 48, 1802-1812, 2018 | 46 | 2018 |
| Prompt-learning for short text classification Y Zhu, Y Wang, J Qiang, X Wu IEEE Transactions on Knowledge and Data Engineering 36 (10), 5328-5339, 2023 | 45 | 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 | 38 | 2023 |
| Chinese lexical simplification J Qiang, X Lu, Y Li, Y Yuan, X Wu IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1819-1828, 2021 | 32 | 2021 |
| 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 | 31 | 2021 |
| 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 | 29 | 2021 |
| Lsbert: A simple framework for lexical simplification J Qiang, Y Li, Y Zhu, Y Yuan, X Wu arXiv preprint arXiv:2006.14939, 2020 | 28 | 2020 |
| Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation Y Shi, L Jin, S Li, J Qiang Journal of the Franklin Institute 357 (6), 3636-3655, 2020 | 26 | 2020 |
| Unsupervised statistical text simplification J Qiang, X Wu IEEE Transactions on Knowledge and Data Engineering 33 (4), 1802-1806, 2019 | 26 | 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 |
| Snapshot ensembles of non-negative matrix factorization for stability of topic modeling J Qiang, Y Li, Y Yuan, W Liu Applied Intelligence 48 (11), 3963-3975, 2018 | 20 | 2018 |
Dr. Yun-Hao YuanDepartment of Computer Science and Technology, Yangzhou UniversityVahvistettu sähköpostiosoite verkkotunnuksessa yzu.edu.cn