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Shuai Zheng
Shuai Zheng
Amazon Web Services
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Title
Cited by
Cited by
Year
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, ...
The Journal of Machine Learning Research 21 (1), 845-851, 2020
1782020
Communication-efficient distributed blockwise momentum SGD with error-feedback
S Zheng, Z Huang, J Kwok
Advances in Neural Information Processing Systems 32, 2019
952019
Fast-and-Light Stochastic ADMM.
S Zheng, JT Kwok
IJCAI, 2407-2613, 2016
612016
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
472022
Asynchronous Distributed Semi-Stochastic Gradient Optimization
R Zhang, S Zheng, JT Kwok
AAAI, 2323-2329, 2016
43*2016
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
252020
Accelerated large batch optimization of bert pretraining in 54 minutes
S Zheng, H Lin, S Zha, M Li
arXiv preprint arXiv:2006.13484, 2020
162020
Follow the moving leader in deep learning
S Zheng, JT Kwok
International Conference on Machine Learning, 4110-4119, 2017
152017
Stochastic variance-reduced admm
S Zheng, JT Kwok
arXiv preprint arXiv:1604.07070, 2016
132016
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
112022
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
102022
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
S Zheng, JT Kwok
International Conference on Machine Learning, 5932-5940, 2018
82018
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
72022
Compressed communication for distributed training: Adaptive methods and system
Y Zhong, C Xie, S Zheng, H Lin
arXiv preprint arXiv:2105.07829, 2021
52021
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
MS Bari, A Zhang, S Zheng, X Shi, Y Zhu, S Joty, M Li
arXiv preprint arXiv:2212.10929, 2022
32022
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
S Ren, A Zhang, Y Zhu, S Zhang, S Zheng, M Li, A Smola, X Sun
arXiv preprint arXiv:2304.04704, 2023
12023
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing
C He, S Zheng, A Zhang, G Karypis, T Chilimbi, M Soltanolkotabi, ...
arXiv preprint arXiv:2212.05191, 2022
12022
Context, language modeling, and multimodal data in finance
S Das, C Goggins, J He, G Karypis, S Krishnamurthy, M Mahajan, ...
The Journal of Financial Data Science, 2021
12021
Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning
S Zheng, JT Kwok
arXiv preprint arXiv:1905.09899, 2019
12019
Stochastic Optimization for Machine Learning
S Zheng
https://szhengac.github.io/papers/pqe.pdf, 2017
12017
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