| Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... Journal of Machine Learning Research 21 (23), 1-7, 2020 | 250 | 2020 |
| Communication-efficient distributed blockwise momentum SGD with error-feedback S Zheng, Z Huang, J Kwok Advances in Neural Information Processing Systems 32, 2019 | 150 | 2019 |
| Alexa teacher model: Pretraining and distilling multi-billion-parameter encoders for natural language understanding systems J FitzGerald, S Ananthakrishnan, K Arkoudas, D Bernardi, A Bhagia, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 76 | 2022 |
| Fast-and-Light Stochastic ADMM. S Zheng, JT Kwok IJCAI, 2407-2613, 2016 | 71 | 2016 |
| Gemini: Fast failure recovery in distributed training with in-memory checkpoints Z Wang, Z Jia, S Zheng, Z Zhang, X Fu, TSE Ng, Y Wang Proceedings of the 29th Symposium on Operating Systems Principles, 364-381, 2023 | 56 | 2023 |
| Partial and asymmetric contrastive learning for out-of-distribution detection in long-tailed recognition H Wang, A Zhang, Y Zhu, S Zheng, M Li, AJ Smola, Z Wang International Conference on Machine Learning, 23446-23458, 2022 | 54 | 2022 |
| Removing batch normalization boosts adversarial training H Wang, A Zhang, S Zheng, X Shi, M Li, Z Wang International Conference on Machine Learning, 23433-23445, 2022 | 52 | 2022 |
| Cser: Communication-efficient sgd with error reset C Xie, S Zheng, S Koyejo, I Gupta, M Li, H Lin Advances in Neural Information Processing Systems 33, 12593-12603, 2020 | 47 | 2020 |
| Asynchronous Distributed Semi-Stochastic Gradient Optimization R Zhang, S Zheng, JT Kwok AAAI, 2323-2329, 2016 | 46* | 2016 |
| MiCS: Near-linear scaling for training gigantic model on public cloud Z Zhang, S Zheng, Y Wang, J Chiu, G Karypis, T Chilimbi, M Li, X Jin arXiv preprint arXiv:2205.00119, 2022 | 42 | 2022 |
| Follow the moving leader in deep learning S Zheng, JT Kwok International Conference on Machine Learning, 4110-4119, 2017 | 31 | 2017 |
| Prompt pre-training with twenty-thousand classes for open-vocabulary visual recognition S Ren, A Zhang, Y Zhu, S Zhang, S Zheng, M Li, AJ Smola, X Sun Advances in Neural Information Processing Systems 36, 12569-12588, 2023 | 29 | 2023 |
| Accelerated large batch optimization of bert pretraining in 54 minutes S Zheng, H Lin, S Zha, M Li arXiv preprint arXiv:2006.13484, 2020 | 22 | 2020 |
| Stochastic variance-reduced admm S Zheng, JT Kwok arXiv preprint arXiv:1604.07070, 2016 | 15 | 2016 |
| VCC: scaling transformers to 128k tokens or more by prioritizing important tokens Z Zeng, C Hawkins, M Hong, A Zhang, N Pappas, V Singh, S Zheng Advances in Neural Information Processing Systems 36, 20260-20286, 2023 | 9 | 2023 |
| Compressed communication for distributed training: Adaptive methods and system Y Zhong, C Xie, S Zheng, H Lin arXiv preprint arXiv:2105.07829, 2021 | 9 | 2021 |
| Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data S Zheng, JT Kwok International Conference on Machine Learning, 5932-5940, 2018 | 8 | 2018 |
| Lancet: Accelerating mixture-of-experts training via whole graph computation-communication overlapping C Jiang, Y Tian, Z Jia, S Zheng, C Wu, Y Wang Proceedings of Machine Learning and Systems 6, 74-86, 2024 | 7 | 2024 |
| {DISTMM}: Accelerating Distributed Multimodal Model Training J Huang, Z Zhang, S Zheng, F Qin, Y Wang 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 7 | 2024 |
| Blockwise adaptivity: Faster training and better generalization in deep learning S Zheng, JT Kwok arXiv preprint arXiv:1905.09899, 2019 | 7 | 2019 |
