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ZHEWEI YAO
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Name
Affiliation
Papers
ZHEWEI YAO
Department of Mathematics, Zhiyuan College, Shanghai Jiao Tong University, Shanghai 200240, China
29
Collaborators
Citations
PageRank
67
31
10.58
Referers
Referees
References
188
340
109
Search Limit
100
340
Publications (29 rows)
Collaborators (67 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
How Much Can CLIP Benefit Vision-and-Language Tasks?
0
0.34
2022
Integer-Only Zero-Shot Quantization for Efficient Speech Recognition
0
0.34
2022
I-Bert: Integer-Only Bert Quantization
0
0.34
2021
Adahessian: An Adaptive Second Order Optimizer For Machine Learning
0
0.34
2021
What's Hidden in a One-layer Randomly Weighted Transformer?
0
0.34
2021
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.
0
0.34
2021
HAWQ-V3: Dyadic Neural Network Quantization
0
0.34
2021
Actnn: Reducing Training Memory Footprint Via 2-Bit Activation Compressed Training
0
0.34
2021
HAWQ-V2 - Hessian Aware trace-Weighted Quantization of Neural Networks.
0
0.34
2020
Q-Bert: Hessian Based Ultra Low Precision Quantization Of Bert
1
0.34
2020
PowerNorm - Rethinking Batch Normalization in Transformers.
0
0.34
2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
0
0.34
2020
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding.
1
0.39
2020
PyHessian: Neural Networks Through the Lens of the Hessian
2
0.37
2020
ZeroQ: A Novel Zero Shot Quantization Framework
3
0.38
2020
ANODEV2: A Coupled Neural ODE Evolution Framework.
0
0.34
2019
ANODEV2: A Coupled Neural ODE Framework.
0
0.34
2019
Residual Networks as Nonlinear Systems: Stability Analysis using Linearization.
0
0.34
2019
Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data.
0
0.34
2019
Jumprelu: A Retrofit Defense Strategy For Adversarial Attacks
0
0.34
2019
Inefficiency Of K-Fac For Large Batch Size Training
0
0.34
2019
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision
12
0.61
2019
Parameter Re-Initialization through Cyclical Batch Size Schedules.
0
0.34
2018
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.
6
0.42
2018
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent.
2
0.36
2018
Large batch size training of neural networks with adversarial training and second-order information.
1
0.38
2018
Trust Region Based Adversarial Attack On Neural Networks
0
0.34
2018
On an adaptive preconditioned Crank-Nicolson MCMC algorithm for infinite dimensional Bayesian inference.
3
0.57
2017
A Hybrid Adaptive MCMC Algorithm in Function Spaces
0
0.34
2017
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