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 (NER, 2019)

Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity. - Chia-Hsiang Kao; Yong-Sheng Chen; Li-Fen Chen; Wei-Chen Chiu (MICCAI (3), 2021)

MAML is a Noisy Contrastive Learner. - Chia-Hsiang Kao; Wei-Chen Chiu; Pin-Yu Chen (CoRR, 2021)

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 (EMBC, 2022)

MAML is a Noisy Contrastive Learner in Classification. - Chia-Hsiang Kao; Wei-Chen Chiu; Pin-Yu Chen (ICLR, 2022)

FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning. - Chia-Hsiang Kao; Yu-Chiang Frank Wang (CoRR, 2023)

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. - Yair Schiff; Chia-Hsiang Kao; Aaron Gokaslan; Tri Dao; Albert Gu; Volodymyr Kuleshov (ICML, 2024)

Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning. - Chia-Hsiang Kao; Bharath Hariharan (NeurIPS, 2024)

AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery. - Hangyu Zhou; Chia-Hsiang Kao; Cheng Perng Phoo; Utkarsh Mall; Bharath Hariharan; Kavita Bala (NeurIPS, 2024)

Towards LLM Agents for Earth Observation. - Chia-Hsiang Kao; Wenting Zhao; Shreelekha Revankar; Samuel Speas; Snehal Bhagat; Rajeev Datta; Cheng Perng Phoo; Utkarsh Mall; Carl Vondrick; Kavita Bala; Bharath Hariharan (CoRR, 2025)