| ERNIE: Enhanced Language Representation with Informative Entities Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu arXiv preprint arXiv:1905.07129, 2019 | 237 | 2019 |
| Neural generative question answering J Yin, X Jiang, Z Lu, L Shang, H Li, X Li arXiv preprint arXiv:1512.01337, 2015 | 171 | 2015 |
| Tinybert: Distilling bert for natural language understanding X Jiao, Y Yin, L Shang, X Jiang, X Chen, L Li, F Wang, Q Liu arXiv preprint arXiv:1909.10351, 2019 | 166 | 2019 |
| A ranking approach to keyphrase extraction X Jiang, Y Hu, H Li Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 147 | 2009 |
| Paraphrase generation with deep reinforcement learning Z Li, X Jiang, L Shang, H Li arXiv preprint arXiv:1711.00279, 2017 | 111 | 2017 |
| Affective neural response generation N Asghar, P Poupart, J Hoey, X Jiang, L Mou European Conference on Information Retrieval, 154-166, 2018 | 90 | 2018 |
| Comparison of MISR aerosol optical thickness with AERONET measurements in Beijing metropolitan area X Jiang, Y Liu, B Yu, M Jiang Remote Sensing of Environment 107 (1-2), 45-53, 2007 | 82 | 2007 |
| Deep active learning for dialogue generation N Asghar, P Poupart, X Jiang, H Li arXiv preprint arXiv:1612.03929, 2016 | 28 | 2016 |
| Decomposable Neural Paraphrase Generation Z Li, X Jiang, L Shang, Q Liu arXiv preprint arXiv:1906.09741, 2019 | 24 | 2019 |
| Fault diagnosis method and apparatus for big-data network system X Jiang, H Li US Patent 10,255,129, 2019 | 13* | 2019 |
| Dynabert: Dynamic bert with adaptive width and depth L Hou, Z Huang, L Shang, X Jiang, X Chen, Q Liu Advances in Neural Information Processing Systems 33, 2020 | 12 | 2020 |
| A hierarchical Bayesian approach for aerosol retrieval using MISR data Y Wang, X Jiang, B Yu, M Jiang Journal of the American Statistical Association 108 (502), 483-493, 2013 | 11 | 2013 |
| Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence Y Zhu, J Wan, Z Zhou, L Chen, L Qiu, W Zhang, X Jiang, Y Yu Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 10 | 2019 |
| Exploring Diverse Expressions for Paraphrase Generation L Qian, L Qiu, W Zhang, X Jiang, Y Yu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 9 | 2019 |
| GPT-based Generation for Classical Chinese Poetry Y Liao, Y Wang, Q Liu, X Jiang arXiv preprint arXiv:1907.00151, 2019 | 9 | 2019 |
| Integrating Graph Contextualized Knowledge into Pre-trained Language Models B He, D Zhou, J Xiao, Q Liu, NJ Yuan, T Xu arXiv preprint arXiv:1912.00147, 2019 | 8 | 2019 |
| NEZHA: Neural Contextualized Representation for Chinese Language Understanding J Wei, X Ren, X Li, W Huang, Y Liao, Y Wang, J Lin, X Jiang, X Chen, ... arXiv preprint arXiv:1909.00204, 2019 | 8 | 2019 |
| Zero-Shot Paraphrase Generation with Multilingual Language Models Y Guo, Y Liao, X Jiang, Q Zhang, Y Zhang, Q Liu arXiv preprint arXiv:1911.03597, 2019 | 7 | 2019 |
| Progressive Memory Banks for Incremental Domain Adaptation N Asghar, L Mou, KA Selby, KD Pantasdo, P Poupart, X Jiang arXiv preprint arXiv:1811.00239, 2018 | 6 | 2018 |
| Meta learning for few-shot keyword spotting Y Chen, T Ko, L Shang, X Chen, X Jiang, Q Li arXiv preprint arXiv:1812.10233, 2018 | 6* | 2018 |
Qun LiuNoah's Ark Lab, Huaweihuawei.com üzerinde doğrulanmış e-posta adresine sahip
