Emerson Liu

According to our database1, Emerson Liu authored at least 13 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Encoder-Free ECG-Language Models.
CoRR, January, 2026

2025
Retrieval-Augmented Generation for Electrocardiogram-Language Models.
CoRR, October, 2025

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework.
CoRR, May, 2025

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling.
Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Interpretation of Intracardiac Electrograms Through Textual Representations.
CoRR, 2024

Interpretation of Intracardiac Electrograms Through Textual Representations.
Proceedings of the Conference on Health, 2024

2023
Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding.
CoRR, 2023

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.
Proceedings of the Machine Learning for Health, 2023

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction.
CoRR, 2022

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2022


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