| Ernie: Enhanced representation through knowledge integration Y Sun, S Wang, Y Li, S Feng, X Chen, H Zhang, X Tian, D Zhu, H Tian, ... arXiv preprint arXiv:1904.09223, 2019 | 1220 | 2019 |
| Ernie 2.0: A continual pre-training framework for language understanding Y Sun, S Wang, Y Li, S Feng, H Tian, H Wu, H Wang Proceedings of the AAAI conference on artificial intelligence 34 (05), 8968-8975, 2020 | 951 | 2020 |
| Masked label prediction: Unified message passing model for semi-supervised classification Y Shi, Z Huang, S Feng, H Zhong, W Wang, Y Sun arXiv preprint arXiv:2009.03509, 2020 | 829 | 2020 |
| Ernie 3.0: Large-scale knowledge enhanced pre-training for language understanding and generation Y Sun, S Wang, S Feng, S Ding, C Pang, J Shang, J Liu, X Chen, Y Zhao, ... arXiv preprint arXiv:2107.02137, 2021 | 536 | 2021 |
| Ernie-vil: Knowledge enhanced vision-language representations through scene graphs F Yu, J Tang, W Yin, Y Sun, H Tian, H Wu, H Wang Proceedings of the AAAI conference on artificial intelligence 35 (4), 3208-3216, 2021 | 413 | 2021 |
| Pre-trained language models and their applications H Wang, J Li, H Wu, E Hovy, Y Sun Engineering 25, 51-65, 2023 | 274 | 2023 |
| Ernie-gen: An enhanced multi-flow pre-training and fine-tuning framework for natural language generation D Xiao, H Zhang, Y Li, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2001.11314, 2020 | 153 | 2020 |
| Ernie-vilg 2.0: Improving text-to-image diffusion model with knowledge-enhanced mixture-of-denoising-experts Z Feng, Z Zhang, X Yu, Y Fang, L Li, X Chen, Y Lu, J Liu, W Yin, S Feng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 125 | 2023 |
| ERNIE-M: Enhanced multilingual representation by aligning cross-lingual semantics with monolingual corpora X Ouyang, S Wang, C Pang, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2012.15674, 2020 | 109 | 2020 |
| Ernie 3.0 titan: Exploring larger-scale knowledge enhanced pre-training for language understanding and generation S Wang, Y Sun, Y Xiang, Z Wu, S Ding, W Gong, S Feng, J Shang, Y Zhao, ... arXiv preprint arXiv:2112.12731, 2021 | 96 | 2021 |
| Ernie-layout: Layout knowledge enhanced pre-training for visually-rich document understanding Q Peng, Y Pan, W Wang, B Luo, Z Zhang, Z Huang, T Hu, W Yin, Y Chen, ... arXiv preprint arXiv:2210.06155, 2022 | 79 | 2022 |
| Irisin exerts neuroprotective effects on cultured neurons by regulating astrocytes K Wang, H Li, H Wang, J Wang, F Song, Y Sun Mediators of inflammation 2018 (1), 9070341, 2018 | 76 | 2018 |
| ERNIE-Doc: A retrospective long-document modeling transformer S Ding, J Shang, S Wang, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2012.15688, 2020 | 67 | 2020 |
| Irisin attenuates neuroinflammation and prevents the memory and cognitive deterioration in streptozotocin‐induced diabetic mice K Wang, F Song, K Xu, Z Liu, S Han, F Li, Y Sun Mediators of inflammation 2019 (1), 1567179, 2019 | 62 | 2019 |
| Ernie-vilg: Unified generative pre-training for bidirectional vision-language generation H Zhang, W Yin, Y Fang, L Li, B Duan, Z Wu, Y Sun, H Tian, H Wu, ... arXiv preprint arXiv:2112.15283, 2021 | 61 | 2021 |
| Circulating Levels of Betatrophin and Irisin Are Not Associated with Pancreatic β‐Cell Function in Previously Diagnosed Type 2 Diabetes Mellitus Patients L Wang, J Song, C Wang, P Lin, K Liang, Y Sun, T He, W Li, R Zhao, J Qin, ... Journal of diabetes research 2016 (1), 2616539, 2016 | 55 | 2016 |
| ERNIE-Gram: Pre-training with explicitly n-gram masked language modeling for natural language understanding D Xiao, YK Li, H Zhang, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2010.12148, 2020 | 52 | 2020 |
| Galileo at SemEval-2020 task 12: Multi-lingual learning for offensive language identification using pre-trained language models S Wang, J Liu, X Ouyang, Y Sun arXiv preprint arXiv:2010.03542, 2020 | 52 | 2020 |
| Relationship of Hemoglobin A1c with β Cell Function and Insulin Resistance in Newly Diagnosed and Drug Naive Type 2 Diabetes Patients X Hou, J Liu, J Song, C Wang, K Liang, Y Sun, Z Ma, W Yang, C Li, ... Journal of diabetes research 2016 (1), 8797316, 2016 | 49 | 2016 |
| X-MOL: large-scale pre-training for molecular understanding and diverse molecular analysis D Xue, H Zhang, D Xiao, Y Gong, G Chuai, Y Sun, H Tian, H Wu, Y Li, ... bioRxiv, 2020.12. 23.424259, 2020 | 46 | 2020 |
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