Yu Emma Wang

According to our database1, Yu Emma Wang authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2023
Hadamard Domain Training with Integers for Class Incremental Quantized Learning.
CoRR, 2023

Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization.
CoRR, 2023

Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search.
CoRR, 2023

2022
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models.
CoRR, 2022


2021
Exploiting Parallelism Opportunities with Deep Learning Frameworks.
ACM Trans. Archit. Code Optim., 2021

Exploring the Limits of Concurrency in ML Training on Google TPUS.
Proceedings of Machine Learning and Systems 2021, 2021

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020
Exploring the limits of Concurrency in ML Training on Google TPUs.
CoRR, 2020

2019
Demystifying Bayesian Inference Workloads.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019


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