| 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 | 2111 | 2021 |
| GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Cen, Y Dong, H Yang, C Wang, J Tang KDD 2022, 2022 | 624 | 2022 |
| 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 Zhang, D Rojas, G Feng, ... arXiv preprint arXiv:2406.12793, 2024 | 457* | 2024 |
| 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 | 116 | 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 | 58* | 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 | 31* | 2024 |
| 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 | 27 | 2021 |
| 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 | 19* | 2024 |
| 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 | 18 | 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 | 12 | 2021 |
| 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 | 8 | 2023 |
| Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling Z Hou, X Lv, R Lu, J Zhang, Y Li, Z Yao, J Li, J Tang, Y Dong arXiv preprint arXiv:2501.11651, 2025 | 6 | 2025 |
| Longreward: Improving long-context large language models with ai feedback J Zhang, Z Hou, X Lv, S Cao, Z Hou, Y Niu, L Hou, Y Dong, L Feng, J Li arXiv preprint arXiv:2410.21252, 2024 | 6 | 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 | 5 | 2024 |
| 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 | 3 | 2024 |
| Does RLHF Scale? Exploring the Impacts From Data, Model, and Method Z Hou, P Du, Y Niu, Z Du, A Zeng, X Liu, M Huang, H Wang, J Tang, ... arXiv preprint arXiv:2412.06000, 2024 | 1 | 2024 |
| Scenegenagent: Precise industrial scene generation with coding agent X Xia, D Zhang, Z Liao, Z Hou, T Sun, J Li, L Fu, Y Dong arXiv preprint arXiv:2410.21909, 2024 | 1 | 2024 |
| MDGNN: Metapath-based decoupled graph neural network for MAG240M-LSC H Zhao, Y Cen, Y He, Z Hou, X Liu, X Cheng Conf. Neural Inf. Process. Syst, 2024 | 1 | 2024 |
Xiao LiuTsinghua UniversityPreverjeni e-poštni naslov na mails.tsinghua.edu.cn
