Tue Minh Cao

According to our database, Tue Minh Cao authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders.

Tue Minh Cao, Nhat X. Hoang, Raed Alharbi, Phi Le Nguyen, My T. Thai

CoRR, May, 2026

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold.

Chenlang Yi, Gang Li, Zizhan Xiong, Tue Minh Cao, Yanmin Gong, My T. Thai, Tianbao Yang

CoRR, April, 2026

2025

NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions.

Tue Minh Cao, Nhat X. Hoang, Hieu H. Pham, Phi Le Nguyen, My T. Thai

CoRR, February, 2025

NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions.

Tue Minh Cao, Nhat Hoang-Xuan, Hieu H. Pham, Phi Le Nguyen, My T. Thai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification.

Tue Minh Cao, Nhat Hong Tran, Hieu H. Pham, Hung Thanh Nguyen, Le P. Nguyen

CoRR, 2024

2023

IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis.

Tue Minh Cao, Nhat Hong Tran, Phi-Le Nguyen, Hieu Huy Pham, Hung Thanh Nguyen

CoRR, 2023

Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata.

Tue Minh Cao, Nhat Hong Tran, Phi Le Nguyen, Hieu H. Pham

CoRR, 2023