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Weizhi Li
Weizhi Li
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Title
Cited by
Cited by
Year
Image co-saliency detection and co-segmentation via progressive joint optimization
CC Tsai, W Li, KJ Hsu, X Qian, YY Lin
IEEE Transactions on Image Processing 28 (1), 56-71, 2018
682018
Regularization via Structural Label Smoothing
W Li, G Dasarathy, V Berisha
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
502020
Finding the Homology of Decision Boundaries with Active Learning
W Li, G Dasarathy, KN Ramamurthy, V Berisha
Advances in Neural Information Processing Systems (NeurIPS), 2020
172020
Noise-tolerant deep learning for histopathological image segmentation
W Li, X Qian, J Ji
2017 IEEE International Conference on Image Processing (ICIP), 3075-3079, 2017
122017
The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression
L Wang, X Zhou, C Wang, W Li
KSII Transactions on Internet and Information Systems (TIIS) 10 (7), 3245-3271, 2016
22016
A label-efficient two-sample test
W Li, G Dasarathy, KN Ramamurthy, V Berisha
Uncertainty in Artificial Intelligence, 168-1177, 2022
12022
Rapid Change Localization in Dynamic Graphical Models
A Zahin, W Li, G Dasarathy
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Active Sequential Two-Sample Testing
W Li, KN Ramamurthy, P Kadambi, P Saidi, G Dasarathy, V Berisha
arXiv preprint arXiv:2301.12616, 2023
2023
Modeling and Exploiting the Structure of Data via Meta-Features for Robust and Efficient Machine Learning
W Li
Arizona State University, 2022
2022
Supplementary Materials: Regularization via Structural Label Smoothing
W Li, G Dasarathy, V Berisha
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