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Dayou Yu

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2024
[j1]
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  - journals/mlst/YuPHMKHY24
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Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, S. X. Hu, Qi Yu:
Deep energy-pressure regression for a thermodynamically consistent EOS model. Mach. Learn. Sci. Technol. 5(1): 15031 (2024)
[c5]
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Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu:
Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection. ICML 2024
2023
[c4]
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  - conf/aaai/YuS023
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Dayou Yu, Weishi Shi, Qi Yu:
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. AAAI 2023: 10980-10988
[c3]
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Dayou Yu, Weishi Shi, Qi Yu:
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. ICML 2023: 40321-40338
[c2]
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Dayou Yu, Weishi Shi, Qi Yu:
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice. NeurIPS 2023
2021
[c1]
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Weishi Shi, Dayou Yu, Qi Yu:
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning. NeurIPS 2021: 27542-27554

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