| Joint semi-supervised and active learning for segmentation of gigapixel pathology images with cost-effective labeling Z Lai, C Wang, LC Oliveira, BN Dugger, SC Cheung, CN Chuah Proceedings of the IEEE/CVF international conference on computer vision, 591-600, 2021 | 32 | 2021 |
| Smoothed adaptive weighting for imbalanced semi-supervised learning: Improve reliability against unknown distribution data Z Lai, C Wang, H Gunawan, SCS Cheung, CN Chuah International Conference on Machine Learning, 11828-11843, 2022 | 26 | 2022 |
| Optimal nested test plan for combinatorial quantitative group testing C Wang, Q Zhao, CN Chuah IEEE Transactions on Signal Processing 66 (4), 992-1006, 2017 | 26 | 2017 |
| A semi-supervised learning for segmentation of gigapixel histopathology images from brain tissues Z Lai, C Wang, Z Hu, BN Dugger, SC Cheung, CN Chuah 2021 43rd annual international conference of the IEEE engineering in …, 2021 | 17 | 2021 |
| Group testing under sum observations for heavy hitter detection C Wang, Q Zhao, CN Chuah 2015 Information Theory and Applications Workshop (ITA), 149-153, 2015 | 16 | 2015 |
| Active hypothesis testing on a tree: Anomaly detection under hierarchical observations C Wang, K Cohen, Q Zhao 2017 IEEE International Symposium on Information Theory (ISIT), 993-997, 2017 | 15 | 2017 |
| Information-directed random walk for rare event detection in hierarchical processes C Wang, K Cohen, Q Zhao IEEE Transactions on Information Theory 67 (2), 1099-1116, 2020 | 13 | 2020 |
| Sar: Self-adaptive refinement on pseudo labels for multiclass-imbalanced semi-supervised learning Z Lai, C Wang, S Cheung, CN Chuah Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Dynamic Search on a Tree with Information-Directed Random Walk C Wang, Q Zhao, K Cohen 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 3 | 2018 |
| Information-directed random walk for rare event detection in hierarchical processes C Wang, K Cohen, Q Zhao arXiv preprint arXiv:1612.09067, 2016 | 2 | 2016 |
| Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? GB Rehm, C Wang, I Cortes-Puch, CN Chuah, J Adams arXiv preprint arXiv:2109.12323, 2021 | | 2021 |
| Sequential Design of Experiments for Anomaly Detection C Wang Cornell University, 2018 | | 2018 |
| Quantitative Group Testing for Heavy Hitter Detection C Wang, Q Zhao, CN Chuah arXiv preprint arXiv:1407.2283, 2014 | | 2014 |
Chen-Nee ChuahProfessor, University of California, DavisVerified email at ucdavis.edu
