Dayou Yu

According to our database, Dayou Yu authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Deep energy-pressure regression for a thermodynamically consistent EOS model.

Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, S. X. Hu, Qi Yu

Mach. Learn. Sci. Technol., March, 2024

Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection.

Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice.

Dayou Yu, Weishi Shi, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning.

Dayou Yu, Weishi Shi, Qi Yu

Proceedings of the International Conference on Machine Learning, 2023

STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations.

Dayou Yu, Weishi Shi, Qi Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning.

Weishi Shi, Dayou Yu, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021