Yaohui Cai

Orcid: 0000-0003-3785-3413

According to our database1, Yaohui Cai authored at least 11 papers between 2019 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs.
CoRR, 2024

A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs.
Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference.
CoRR, 2023

QuIP: 2-Bit Quantization of Large Language Models With Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Structured Pruning is All You Need for Pruning CNNs at Initialization.
CoRR, 2022

2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation.
Proceedings of the 38th International Conference on Machine Learning, 2021

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs.
Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020
CoDeNet: Algorithm-hardware Co-design for Deformable Convolution.
CoRR, 2020

ZeroQ: A Novel Zero Shot Quantization Framework.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks.
CoRR, 2019

Algorithm-hardware Co-design for Deformable Convolution.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019


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