Publications

Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity

Yu, D., Li, M., Shi, W. and Yu, Q., Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity. In The Thirty-eighth Annual Conference on Neural Information Processing Systems..

The development of thermodynamically consistent and physics-informed equation-of-state model through machine learning

Hinz, J., Yu, D., Pandey, D.S., Sapkota, H., Yu, Q., Mihaylov, D.I., Karasiev, V.V. and Hu, S.X., 2024. The development of thermodynamically consistent and physics-informed equation-of-state model through machine learning. APL Machine Learning, 2(2).

Deep energy-pressure regression for a thermodynamically consistent EOS model

Yu, D., Pandey, D.S., Hinz, J., Mihaylov, D., Karasiev, V.V., Hu, S.X. and Yu, Q., 2024. Deep energy-pressure regression for a thermodynamically consistent EOS model. Machine Learning: Science and Technology, 5(1), p.015031.

BOSS: Diversity-Difficulty Balanced One-Shot Subset Selection for Data-Efficient Deep Learning

Acharya, A., Yu, D., Yu, Q. and Liu, X., BOSS: Diversity-Difficulty Balanced One-Shot Subset Selection for Data-Efficient Deep Learning. In ICML 2024.

Actively testing your model while it learns: realizing label-efficient learning in practice

Yu, D., Shi, W. and Yu, Q., 2024. Actively testing your model while it learns: realizing label-efficient learning in practice. Advances in Neural Information Processing Systems, 36.

STARS: spatial-temporal active re-sampling for label-efficient learning from noisy annotations

Yu, D., Shi, W. and Yu, Q., 2023, June. STARS: spatial-temporal active re-sampling for label-efficient learning from noisy annotations. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 9, pp. 10980-10988).

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

Yu, D., Shi, W. and Yu, Q., 2023, July. Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. In International Conference on Machine Learning (pp. 40321-40338). PMLR.

A gaussian process-bayesian bernoulli mixture model for multi-label active learning

Shi, W.*, Yu, D.* and Yu, Q., 2021. A gaussian process-bayesian bernoulli mixture model for multi-label active learning. Advances in Neural Information Processing Systems, 34, pp.27542-27554.

Electron correlations engineer catalytic activity of pyrochlore iridates for acidic water oxidation

C. Shang, C. Cao, D. Yu, Y. Yan, Y. Lin, H. Li, T. Zheng, X. Yan, W. Yu, S. Zhou, J. Zeng, Adv. Mater. 2019, 31, 1805104.

^* Equal authorship

Dayou Yu