| Environmental efficiency evaluation based on data envelopment analysis: a review M Song, Q An, W Zhang, Z Wang, J Wu Renewable and Sustainable Energy Reviews 16 (7), 4465-4469, 2012 | 415 | 2012 |
| SCAN: Structure correcting adversarial network for organ segmentation in chest X-rays W Dai, N Dong, Z Wang, X Liang, H Zhang, EP Xing Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 266 | 2018 |
| Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports B Jing, Z Wang, E Xing 57th Annual Meeting of the Association for Computational Linguistics (ACL …, 2019 | 139 | 2019 |
| Statistical analysis and combination forecasting of environmental efficiency and its influential factors since China entered the WTO: 2002–2010–2012 M Song, L Zhang, Q An, Z Wang, Z Li Journal of cleaner production 42, 42-51, 2013 | 130 | 2013 |
| Environmental efficiency and energy consumption of highway transportation systems in China M Song, W Zheng, Z Wang International Journal of Production Economics 181, 441-449, 2016 | 129 | 2016 |
| Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 108 | 2018 |
| Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration Z Wang, S Cao, JS Morris, J Ahn, R Liu, S Tyekucheva, F Gao, B Li, W Lu, ... iScience (Cell Press), 2018 | 69 | 2018 |
| Soda: Detecting covid-19 in chest x-rays with semi-supervised open set domain adaptation J Zhou, B Jing, Z Wang, H Xin, H Tong IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021 | 47 | 2021 |
| Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling Z Wang, N Dong, W Dai, SD Rosario, EP Xing International Conference Image Analysis and Recognition, 745-753, 2018 | 46 | 2018 |
| Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 43 | 2018 |
| Calculation of China’s environmental efficiency and relevant hierarchical cluster analysis from the perspective of regional differences M Song, Y Song, H Yu, Z Wang Mathematical and Computer Modelling 58 (5-6), 1084-1094, 2013 | 33 | 2013 |
| Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images Z Wang, N Dong, SD Rosario, M Xu, P Xie, EP Xing 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 32 | 2019 |
| RNA-seq mixology: designing realistic control experiments to compare protocols and analysis methods AZ Holik, CW Law, R Liu, Z Wang, W Wang, J Ahn, ML Asselin-Labat, ... Nucleic acids research 45 (5), e30-e30, 2017 | 32 | 2017 |
| WGAN domain adaptation for the joint optic disc-and-cup segmentation in fundus images S Kadambi*, Z Wang*, E Xing (*equal contribution) International Journal of Computer Assisted Radiology and Surgery, 2020 | 28 | 2020 |
| DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering Z Wang, Y Ni, B Jing, D Wang, H Zhang, E Xing IEEE Transactions on Neural Networks and Learning Systems, 2021 | 19 | 2021 |
| Adversarial domain adaptation being aware of class relationships Z Wang, B Jing, Y Ni, N Dong, P Xie, EP Xing European Conference on Artificial Intelligence (2020), 2020 | 17 | 2020 |
| HepatoScore‐14: Measures of biological heterogeneity significantly improve prediction of hepatocellular carcinoma risk JS Morris, MM Hassan, YE Zohner, Z Wang, L Xiao, A Rashid, A Haque, ... Hepatology, 2020 | 16 | 2020 |
| Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer Z Wang, V Baladandayuthapan, AO Kaseb, HM Amin, MM Hassan, ... Journal of the American Statistical Association, 2022 | 12 | 2022 |
| Identification and Validation Novel Risk Genes for Autism Spectrum Disorder–A Meta-Analysis D Liu, Z Wang Journal of Psychiatry and Brain Science 1 (1), 117-127, 2017 | 8 | 2017 |
| Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering Y Ni, D Jones, Z Wang 2020 IEEE International Conference on Big Data (Big Data), 204-209, 2020 | 6 | 2020 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
