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Journal Articles
- 2022
[j4]Jieli Zhou
, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong:
SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2605-2612 (2022)- [j3]Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing:
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7610-7620 (2022) - 2020
- [j2]Shreya Kadambi, Zeya Wang, Eric P. Xing:
WGAN domain adaptation for the joint optic disc-and-cup segmentation in fundus images. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1205-1213 (2020) - 2013
- [j1]Malin Song, Yaqin Song, Huayin Yu, Zeya Wang:
Calculation of China's environmental efficiency and relevant hierarchical cluster analysis from the perspective of regional differences. Math. Comput. Model. 58(5-6): 1084-1094 (2013)
Conference and Workshop Papers
- 2020
- [c8]Yang Ni, David Jones, Zeya Wang:
Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering. IEEE BigData 2020: 204-209 - [c7]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI 2020: 1579-1586 - 2019
- [c6]Baoyu Jing, Zeya Wang, Eric P. Xing:
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports. ACL (1) 2019: 6570-6580 - [c5]Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing:
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI 2019: 601-604 - 2018
- [c4]Zeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing:
Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling. ICIAR 2018: 745-753 - [c3]Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing:
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI 2018: 263-273 - [c2]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI 2018: 317-325 - [c1]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) 2018: 544-552
Informal and Other Publications
- 2024
- [i6]Zeya Wang, Chenglong Ye:
Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures. CoRR abs/2403.14830 (2024) - 2020
- [i5]Baoyu Jing, Zeya Wang, Eric P. Xing:
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports. CoRR abs/2004.12274 (2020) - [i4]Jieli Zhou, Baoyu Jing, Zeya Wang:
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation. CoRR abs/2005.11003 (2020) - 2019
- [i3]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR abs/1905.11931 (2019) - 2018
- [i2]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR abs/1807.03434 (2018) - [i1]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR abs/1807.11113 (2018)
Coauthor Index
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