| Forecasting fine-grained air quality based on big data Y Zheng, X Yi, M Li, R Li, Z Shan, E Chang, T Li Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 501 | 2015 |
| Deep learning of feature representation with multiple instance learning for medical image analysis Y Xu, T Mo, Q Feng, P Zhong, M Lai, I Eric, C Chang 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 476 | 2014 |
| Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features Y Xu, Z Jia, LB Wang, Y Ai, F Zhang, M Lai, EIC Chang BMC bioinformatics 18, 1-17, 2017 | 460 | 2017 |
| Location mapping for key-point based services E Chang, KK Wong, D Tang US Patent 7,751,971, 2010 | 456 | 2010 |
| Weakly supervised histopathology cancer image segmentation and classification Y Xu, JY Zhu, I Eric, C Chang, M Lai, Z Tu Medical image analysis 18 (3), 591-604, 2014 | 330 | 2014 |
| Inferring gas consumption and pollution emission of vehicles throughout a city J Shang, Y Zheng, W Tong, E Chang, Y Yu Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 324 | 2014 |
| Cross-type biomedical named entity recognition with deep multi-task learning X Wang, Y Zhang, X Ren, Y Zhang, M Zitnik, J Shang, C Langlotz, J Han Bioinformatics 35 (10), 1745-1752, 2019 | 305 | 2019 |
| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 297 | 2019 |
| Diagnosing New York city's noises with ubiquitous data Y Zheng, T Liu, Y Wang, Y Zhu, Y Liu, E Chang Proceedings of the 2014 ACM international joint conference on pervasive and …, 2014 | 285 | 2014 |
| Personal Media Landscapes in Mixed Reality DK Edge, E Chang, K Min US Patent App. 12/371,431, 2010 | 274 | 2010 |
| Recursive cascaded networks for unsupervised medical image registration S Zhao, Y Dong, EI Chang, Y Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 271 | 2019 |
| Large scale image completion via co-modulated generative adversarial networks S Zhao, J Cui, Y Sheng, Y Dong, X Liang, EI Chang, Y Xu arXiv preprint arXiv:2103.10428, 2021 | 268 | 2021 |
| Unsupervised 3D end-to-end medical image registration with volume tweening network S Zhao, T Lau, J Luo, I Eric, C Chang, Y Xu IEEE journal of biomedical and health informatics 24 (5), 1394-1404, 2019 | 262 | 2019 |
| Constrained deep weak supervision for histopathology image segmentation Z Jia, X Huang, I Eric, C Chang, Y Xu IEEE transactions on medical imaging 36 (11), 2376-2388, 2017 | 248 | 2017 |
| Maskflownet: Asymmetric feature matching with learnable occlusion mask S Zhao, Y Sheng, Y Dong, EI Chang, Y Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 236 | 2020 |
| Deep convolutional activation features for large scale brain tumor histopathology image classification and segmentation Y Xu, Z Jia, Y Ai, F Zhang, M Lai, I Eric, C Chang 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 207 | 2015 |
| Natural language speech recognition using slot semantic confidence scores related to their word recognition confidence scores EIC Chang, EG Jackson US Patent 6,567,778, 2003 | 202 | 2003 |
| Context based online advertising R Chandrasekar, T Bai, EJ Chang, M Tsang US Patent 8,326,630, 2012 | 200 | 2012 |
| Meta-path guided embedding for similarity search in large-scale heterogeneous information networks J Shang, M Qu, J Liu, LM Kaplan, J Han, J Peng arXiv preprint arXiv:1610.09769, 2016 | 196 | 2016 |
| Unsupervised object class discovery via saliency-guided multiple class learning JY Zhu, J Wu, Y Xu, E Chang, Z Tu IEEE transactions on pattern analysis and machine intelligence 37 (4), 862-875, 2014 | 195 | 2014 |
Yan XuProfessor of biological science and medical engineering, beihang universityVerified email at buaa.edu.cn
