| 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 35 (1), 857-876, 2021 | 1614 | 2021 |
| GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Cen, Y Dong, H Yang, C Wang, J Tang KDD 2022, 2022 | 371 | 2022 |
| GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Z Hou, Y He, Y Cen, X Liu, Y Dong, E Kharlamov, J Tang WWW 2023, 2023 | 55 | 2023 |
| Cogdl: An extensive toolkit for deep learning on graphs Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, X Yao, A Zeng, S Guo, P Zhang, ... arXiv preprint arXiv:2103.00959 7 (8), 2021 | 50* | 2021 |
| Understanding WeChat user preferences and “Wow” diffusion F Zhang, J Tang, X Liu, Z Hou, Y Dong, J Zhang, X Liu, R Xie, K Zhuang, ... IEEE Transactions on Knowledge and Data Engineering 34 (12), 6033-6046, 2021 | 17 | 2021 |
| Improving the training of graph neural networks with consistency regularization C Zhang, Y He, Y Cen, Z Hou, J Tang arXiv preprint arXiv:2112.04319, 2021 | 14 | 2021 |
| Automated unsupervised graph representation learning Z Hou, Y Cen, Y Dong, J Zhang, J Tang IEEE Transactions on Knowledge and Data Engineering 35 (3), 2285-2298, 2021 | 9 | 2021 |
| ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline Y Xu, X Liu, X Liu, Z Hou, Y Li, X Zhang, Z Wang, A Zeng, Z Du, W Zhao, ... arXiv preprint arXiv:2404.02893, 2024 | 3 | 2024 |
| ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools GLM Team, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Rojas, G Feng, ... arXiv e-prints, arXiv: 2406.12793, 2024 | 2 | 2024 |
| MTDiag: an effective multi-task framework for automatic diagnosis Z Hou, Y Cen, Z Liu, D Wu, B Wang, X Li, L Hong, J Tang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14241 …, 2023 | 2 | 2023 |
| MDGNN: METAPATH-BASED DECOUPLED GRAPH NEURAL NETWORK FOR MAG240M-LSC H Zhao, Y Cen, Y He, Z Hou, X Liu, X Cheng | 1 | |
| Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data Y He, Z Hou, Y Cen, F He, X Cheng, B Hooi arXiv preprint arXiv:2407.03953, 2024 | | 2024 |
| ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Rojas, G Feng, H Zhao, ... arXiv preprint arXiv:2406.12793, 2024 | | 2024 |
| GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Z Hou, H Li, Y Cen, J Tang, Y Dong arXiv preprint arXiv:2406.02953, 2024 | | 2024 |
| ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback Z Hou, Y Niu, Z Du, X Zhang, X Liu, A Zeng, Q Zheng, M Huang, H Wang, ... arXiv preprint arXiv:2404.00934, 2024 | | 2024 |
Tang JieWeBank Chair Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
