Shanshan Lao

According to our database1, Shanshan Lao authored at least 10 papers between 2022 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2023
Weight-Inherited Distillation for Task-Agnostic BERT Compression.
CoRR, 2023

Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

The Danger of Metaphors for Metaheuristic Design.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Masked Autoencoders Are Stronger Knowledge Distillers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Rethinking Knowledge Distillation via Cross-Entropy.
CoRR, 2022

Particle swarm optimization with average-fitness based selection.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022



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