| Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. M Wang, L Yu, D Zheng, Q Gan, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ... | 764 | 2019 |
| Communication-efficient distributed blockwise momentum SGD with error-feedback S Zheng, Z Huang, J Kwok Advances in Neural Information Processing Systems 32, 2019 | 130 | 2019 |
| Instance-optimal Mean Estimation Under Differential Privacy Z Huang, Y Liang, K Yi Advances in Neural Information Processing Systems 34, 2021 | 50 | 2021 |
| Frequency estimation under multiparty differential privacy: One-shot and streaming Z Huang, Y Qiu, K Yi, G Cormode Proceedings of the VLDB Endowment 15 (10), 2058 - 2070, 2022 | 24 | 2022 |
| Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation Z Huang, Z Huang, Y Wang, K Yi Advances in Neural Information Processing Systems 32, 2019 | 12 | 2019 |
| SeqPATE: Differentially Private Text Generation via Knowledge Distillation Z Tian, Y Zhao, Z Huang, YX Wang, N Zhang, H He Advances in Neural Information Processing Systems 35, 2022 | 11 | 2022 |
| Approximate Range Counting Under Differential Privacy Z Huang, K Yi 37th International Symposium on Computational Geometry (SoCG 2021), 2021 | 5 | 2021 |
| Communication-Efficient Weighted Sampling and Quantile Summary for GBDT Z Huang, K Yi arXiv preprint arXiv:1909.07633, 2019 | 2 | 2019 |
| BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics H Wu, X Shi, Z Huang, P Zhao, W Xiong, J Xue, Y Tao, X Huang, W Wang arXiv preprint arXiv:2405.17051, 2024 | | 2024 |
