| 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 | 1016 | 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 | 793 | 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 | 503 | 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 | 331 | 2021 |
| Water filling: Unsupervised people counting via vertical kinect sensor X Zhang, J Yan, S Feng, Z Lei, D Yi, SZ Li 2012 IEEE ninth international conference on advanced video and signal-based …, 2012 | 135 | 2012 |
| Online content-aware video condensation S Feng, Z Lei, D Yi, SZ Li 2012 IEEE Conference on computer vision and pattern recognition, 2082-2087, 2012 | 86 | 2012 |
| 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 | 76 | 2023 |
| 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 | 55 | 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 | 45 | 2022 |
| High-performance video condensation system J Zhu, S Feng, D Yi, S Liao, Z Lei, SZ Li IEEE Transactions on Circuits and Systems for Video Technology 25 (7), 1113-1124, 2014 | 28 | 2014 |
| Ernie-geol: A geography-and-language pre-trained model and its applications in baidu maps J Huang, H Wang, Y Sun, Y Shi, Z Huang, A Zhuo, S Feng Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 25 | 2022 |
| Online principal background selection for video synopsis S Feng, S Liao, Z Yuan, SZ Li 2010 20th International Conference on Pattern Recognition, 17-20, 2010 | 18 | 2010 |
| ERNIE: enhanced representation through knowledge integration. CoRR abs/1904.09223 (2019) Y Sun, S Wang, YK Li, S Feng, X Chen, H Zhang, X Tian, D Zhu, H Tian, ... arXiv preprint arXiv:1904.09223, 2019 | 17 | 2019 |
| Label information enhanced fraud detection against low homophily in graphs Y Wang, J Zhang, Z Huang, W Li, S Feng, Z Ma, Y Sun, D Yu, F Dong, ... Proceedings of the ACM Web Conference 2023, 406-416, 2023 | 15 | 2023 |
| Fractional denoising for 3d molecular pre-training S Feng, Y Ni, Y Lan, ZM Ma, WY Ma International Conference on Machine Learning, 9938-9961, 2023 | 13 | 2023 |
| Alpha at semeval-2021 task 6: Transformer based propaganda classification Z Feng, J Tang, J Liu, W Yin, S Feng, Y Sun, L Chen Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021 | 13 | 2021 |
| Kk2018 at SemEval-2020 task 9: Adversarial training for code-mixing sentiment classification J Liu, X Chen, S Feng, S Wang, X Ouyang, Y Sun, Z Huang, W Su arXiv preprint arXiv:2009.03673, 2020 | 13 | 2020 |
| Ernie-tiny: A progressive distillation framework for pretrained transformer compression W Su, X Chen, S Feng, J Liu, W Liu, Y Sun, H Tian, H Wu, H Wang arXiv preprint arXiv:2106.02241, 2021 | 9 | 2021 |
| Mmlayout: multi-grained multimodal transformer for document understanding W Wang, Z Huang, B Luo, Q Chen, Q Peng, Y Pan, W Yin, S Feng, Y Sun, ... Proceedings of the 30th ACM International Conference on Multimedia, 4877-4886, 2022 | 8 | 2022 |
| Dueta: Traffic congestion propagation pattern modeling via efficient graph learning for eta prediction at baidu maps J Huang, Z Huang, X Fang, S Feng, X Chen, J Liu, H Yuan, H Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
Zhengjie HuangBaidu IncVerified email at mail2.sysu.edu.cn
