Chia-Hsiang Kao

According to our database, Chia-Hsiang Kao authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling.

Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

CoRR, 2024

2023

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

Chia-Hsiang Kao, Yu-Chiang Frank Wang

CoRR, 2023

2022

MAML is a Noisy Contrastive Learner in Classification.

Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen

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.

Chun-Chih Huang, Intan Low, Chia-Hsiang Kao, Chuan-Yu Yu, Tung-Ping Su, Jen-Chuen Hsieh, Yong-Sheng Chen, Li-Fen Chen

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

MAML is a Noisy Contrastive Learner.

Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen

CoRR, 2021

Demystifying T1-MRI to FDG¹⁸-PET Image Translation via Representational Similarity.

Chia-Hsiang Kao, Yong-Sheng Chen, Li-Fen Chen, Wei-Chen Chiu

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.

Chia-Hsiang Kao, Ching-Ju Yang, Li-Kai Cheng, Hsin-Yen Yu, Yong-Sheng Chen, Jen-Chuen Hsieh, Li-Fen Chen

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019