| Multi-consensus decentralized accelerated gradient descent H Ye, L Luo, Z Zhou, T Zhang Journal of Machine Learning Research 24 (306), 1-50, 2023 | 59 | 2023 |
| Decentralized accelerated proximal gradient descent H Ye, Z Zhou, L Luo, T Zhang Advances in Neural Information Processing Systems 33, 2020 | 28 | 2020 |
| Effective stabilized self-training on few-labeled graph data Z Zhou, J Shi, S Zhang, Z Huang, Q Li Information Sciences 631, 369-384, 2023 | 22* | 2023 |
| Sce: Scalable network embedding from sparsest cut S Zhang, Z Huang, H Zhou, Z Zhou Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 15 | 2020 |
| Effective semi-supervised node classification on few-labeled graph data Z Zhou, J Shi, S Zhang, Z Huang, Q Li arXiv preprint arXiv:1910.02684, 2019 | 9 | 2019 |
| Few-shot classification on graphs with structural regularized GCNs, 2019 S Zhang, Z Zhou, Z Huang, Z Wei URL https://openreview. net/forum, 0 | 4 | |
| SlotGAT: Slot-based Message Passing for Heterogeneous Graphs Z Zhou, J Shi, R Yang, Y Zou, Q Li International Conference on Machine Learning 40, 2023 | 3 | 2023 |
| Stabilized Self-training with Negative Sampling on Few-labeled Graph Data Z Zhou, J Shi, S Zhang, Z Huang, Q Li | | 2021 |
