Chia-Hsiang Kao

Orcid: 0009-0006-1956-5265

According to our database1, Chia-Hsiang Kao authored at least 8 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning.
CoRR, 2024

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning.
CoRR, 2023

2022
MAML is a Noisy Contrastive Learner in Classification.
Proceedings of the Tenth International Conference on Learning Representations, 2022

MEG-based Classification and Grad-CAM Visualization for Major Depressive and Bipolar Disorders with Semi-CNN.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
MAML is a Noisy Contrastive Learner.
CoRR, 2021

Demystifying T1-MRI to FDG<sup>18</sup>-PET Image Translation via Representational Similarity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019
Unravelling the Spatio-Temporal Neurodynamics of Rhythm Encoding-reproduction Networks by a Novel fMRI Autoencoder.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019


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