Tao Huang

Orcid: 0000-0002-4463-4078

Affiliations:
  • University of Sydney, Faculty of Engineering, School of Computer Science, NSW, Australia
  • SenseTime Research, China (former)


According to our database1, Tao Huang authored at least 16 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
An energy-aware service placement strategy using hybrid meta-heuristic algorithm in iot environments.
Clust. Comput., October, 2023

Knowledge Diffusion for Distillation.
CoRR, 2023

Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Masked Distillation with Receptive Tokens.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
LightViT: Towards Light-Weight Convolution-Free Vision Transformers.
CoRR, 2022

Knowledge Distillation from A Stronger Teacher.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Relational Surrogate Loss Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Data Agnostic Filter Gating For Efficient Deep Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GreedyNASv2: Greedier Search with a Greedy Path Filter.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Locally Free Weight Sharing for Network Width Search.
Proceedings of the 9th International Conference on Learning Representations, 2021

Prioritized Architecture Sampling With Monto-Carlo Tree Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Explicitly Learning Topology for Differentiable Neural Architecture Search.
CoRR, 2020

Data Agnostic Filter Gating for Efficient Deep Networks.
CoRR, 2020

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers.
CoRR, 2020

GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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