Zhaoyang Zhang

Affiliations:
  • Wuhan University, China
  • SenseTime Research, Wuhan, China


According to our database1, Zhaoyang Zhang authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022
Dynamic Token Normalization improves Vision Transformers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Dynamic Token Normalization Improves Vision Transformer.
CoRR, 2021

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening.
CoRR, 2021

FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation.
CoRR, 2021

Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution.
Proceedings of the 38th International Conference on Machine Learning, 2021

STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
AdaX: Adaptive Gradient Descent with Exponential Long Term Memory.
CoRR, 2020

2019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Boosting up Scene Text Detectors with Guided CNN.
Proceedings of the British Machine Vision Conference 2018, 2018


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