| Dialogpt: Large-scale generative pre-training for conversational response generation Y Zhang, S Sun, M Galley, YC Chen, C Brockett, X Gao, J Gao, J Liu, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2019 | 1583 | 2019 |
| Accurate de novo prediction of protein contact map by ultra-deep learning model S Wang, S Sun, Z Li, R Zhang, J Xu PLoS computational biology 13 (1), e1005324, 2017 | 1031 | 2017 |
| A brief overview of ChatGPT: The history, status quo and potential future development T Wu, S He, J Liu, S Sun, K Liu, QL Han, Y Tang IEEE/CAA Journal of Automatica Sinica 10 (5), 1122-1136, 2023 | 940 | 2023 |
| Patient knowledge distillation for bert model compression S Sun, Y Cheng, Z Gan, J Liu Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 | 908 | 2019 |
| Freelb: Enhanced adversarial training for natural language understanding C Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu International Conference on Learning Representations (ICLR), 2019 | 533 | 2019 |
| Hierarchical graph network for multi-hop question answering Y Fang, S Sun, Z Gan, R Pillai, S Wang, J Liu Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 | 223 | 2019 |
| Analysis of deep learning methods for blind protein contact prediction in CASP12 S Wang, S Sun, J Xu Proteins: Structure, Function, and Bioinformatics 86, 67-77, 2018 | 105 | 2018 |
| Training data is more valuable than you think: A simple and effective method by retrieving from training data S Wang, Y Xu, Y Fang, Y Liu, S Sun, R Xu, C Zhu, M Zeng arXiv preprint arXiv:2203.08773, 2022 | 102 | 2022 |
| Microsoft dialogue challenge: Building end-to-end task-completion dialogue systems X Li, Y Wang, S Sun, S Panda, J Liu, J Gao arXiv preprint arXiv:1807.11125, 2018 | 97 | 2018 |
| Lightningdot: Pre-training visual-semantic embeddings for real-time image-text retrieval S Sun, YC Chen, L Li, S Wang, Y Fang, J Liu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 89 | 2021 |
| Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, ... arXiv preprint arXiv:2204.00300, 2022 | 79 | 2022 |
| Contrastive Distillation on Intermediate Representations for Language Model Compression S Sun, Z Gan, Y Cheng, Y Fang, S Wang, J Liu Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 72 | 2020 |
| Human parity on commonsenseqa: Augmenting self-attention with external attention Y Xu, C Zhu, S Wang, S Sun, H Cheng, X Liu, J Gao, P He, M Zeng, ... arXiv preprint arXiv:2112.03254, 2021 | 66 | 2021 |
| E2Efold-3D: end-to-end deep learning method for accurate de novo RNA 3D structure prediction T Shen, Z Hu, Z Peng, J Chen, P Xiong, L Hong, L Zheng, Y Wang, I King, ... arXiv preprint arXiv:2207.01586, 2022 | 57 | 2022 |
| Cluster-former: Clustering-based sparse transformer for long-range dependency encoding S Wang, L Zhou, Z Gan, YC Chen, Y Fang, S Sun, Y Cheng, J Liu arXiv preprint arXiv:2009.06097, 2020 | 56* | 2020 |
| Retgen: A joint framework for retrieval and grounded text generation modeling Y Zhang, S Sun, X Gao, Y Fang, C Brockett, M Galley, J Gao, B Dolan Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11739 …, 2022 | 51* | 2022 |
| Filter: An enhanced fusion method for cross-lingual language understanding Y Fang, S Wang, Z Gan, S Sun, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12776 …, 2021 | 47 | 2021 |
| AUC-maximized deep convolutional neural fields for protein sequence labeling S Wang, S Sun, J Xu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 39 | 2016 |
| Learning structured densities via infinite dimensional exponential families S Sun, M Kolar, J Xu Advances in neural information processing systems 28, 2015 | 29 | 2015 |
| Leveraging knowledge in multilingual commonsense reasoning Y Fang, S Wang, Y Xu, R Xu, S Sun, C Zhu, M Zeng arXiv preprint arXiv:2110.08462, 2021 | 19 | 2021 |
Zhe GanResearch Scientist, AppleПодтвержден адрес электронной почты в домене apple.com
