Qingyuan Li

Affiliations:

Meituan Inc.
Xiaomi AI Lab, Beijing, China

According to our database¹, Qingyuan Li authored at least 11 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Other

Bibliography

2024

Integer Scale: A Free Lunch for Faster Fine-grained Quantization of LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Speed Odyssey for Deployable Quantization of LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

FPTQ: Fine-grained Post-Training Quantization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

2022

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

[BibT_eX]

[DOI]

CoRR, 2022

EAPruning: Evolutionary Pruning for Vision Transformers and CNNs.

[BibT_eX]

[DOI]

Qingyuan Li

Bo Zhang

Xiangxiang Chu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

AutoKWS: Keyword Spotting with Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2019

Qingyuan Li

Timeline

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