| Self-supervised learning: Generative or contrastive X Liu, F Zhang, Z Hou, L Mian, Z Wang, J Zhang, J Tang IEEE Transactions on Knowledge and Data Engineering, 2021 | 294 | 2021 |
| GPT Understands, Too X Liu*, Y Zheng*, Z Du, M Ding, Y Qian, Z Yang, J Tang arXiv preprint arXiv:2103.10385, 2021 | 148* | 2021 |
| Oag: Toward linking large-scale heterogeneous entity graphs F Zhang, X Liu, J Tang, Y Dong, P Yao, J Zhang, X Gu, Y Wang, B Shao, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 53 | 2019 |
| Pre-trained models: Past, present and future X Han*, Z Zhang*, N Ding*, Y Gu*, X Liu*, Y Huo*, J Qiu, L Zhang, W Han, ... AI Open, 2021 | 48 | 2021 |
| P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks X Liu*, K Ji*, Y Fu*, Z Du, Z Yang, J Tang Proceedings of the 60th Annual Meeting of the Association of Computational …, 2021 | 35* | 2021 |
| Language models are open knowledge graphs C Wang, X Liu, D Song arXiv preprint arXiv:2010.11967, 2020 | 32 | 2020 |
| GLM: General Language Model Pretraining with Autoregressive Blank Infilling Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 23* | 2022 |
| OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models X Liu*, D Yin*, X Zhang, K Su, K Wu, H Yang, J Tang arXiv preprint arXiv:2103.02410, 2021 | 10 | 2021 |
| Wudaocorpora: A super large-scale chinese corpora for pre-training language models S Yuan, H Zhao, Z Du, M Ding, X Liu, Y Cen, X Zou, Z Yang, J Tang AI Open 2, 65-68, 2021 | 5 | 2021 |
| SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs X Liu, H Hong, X Wang, Z Chen, E Kharlamov, Y Dong, J Tang Proceedings of the ACM Web Conference 2022, 2022, 2022 | 3* | 2022 |
| Zero-Shot Information Extraction as a Unified Text-to-Triple Translation C Wang, X Liu, Z Chen, H Hong, J Tang, D Song Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 3 | 2021 |
| OAG_know: Self-supervised Learning for Linking Knowledge Graphs X Liu, L Mian, Y Dong, F Zhang, J Zhang, J Tang, P Zhang, J Gong, ... IEEE Transactions on Knowledge and Data Engineering, 2021 | 1 | 2021 |
| The International Workshop on Pretraining: Algorithms, Architectures, and Applications (Pretrain@ KDD 2021) M Ding, Y Dong, X Liu, J Qiu, J Tang, Z Yang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | | 2021 |
Tang JieProfessor, Tsinghua Universitytsinghua.edu.cn의 이메일 확인됨
