Xinliang Zhu
Cited by
Cited by
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
J Yao, X Zhu, J Jonnagaddala, N Hawkins, J Huang
Medical Image Analysis 65, 101789, 2020
Wsisa: Making survival prediction from whole slide histopathological images
X Zhu, J Yao, F Zhu, J Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Deep convolutional neural network for survival analysis with pathological images
X Zhu, J Yao, J Huang
2016 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2016
Graph CNN for survival analysis on whole slide pathological images
R Li, J Yao, X Zhu, Y Li, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Deep correlational learning for survival prediction from multi-modality data
J Yao, X Zhu, F Zhu, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Label-driven reconstruction for domain adaptation in semantic segmentation
J Yang, W An, S Wang, X Zhu, C Yan, J Huang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Deep multi-instance learning for survival prediction from whole slide images
J Yao, X Zhu, J Huang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Imaging biomarker discovery for lung cancer survival prediction
J Yao, S Wang, X Zhu, J Huang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
Lung cancer survival prediction from pathological images and genetic data—an integration study
X Zhu, J Yao, X Luo, G Xiao, Y Xie, A Gazdar, J Huang
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1173-1176, 2016
10,000+ times accelerated robust subset selection (arss)
CP F Zhu, B Fan, X Zhu, Y Wang, S Xiang
arXiv preprint arXiv:1409.3660, 2014
Hierarchical proxy-based loss for deep metric learning
Z Yang, M Bastan, X Zhu, D Gray, D Samaras
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model
Z Xinliang, Y Jiawen, X Guanghua, X Yang, RC Jaime, P Edwin, R, ...
Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on …, 2016
Hierarchical transformer for survival prediction using multimodality whole slide images and genomics
C Li, X Zhu, J Yao, J Huang
2022 26th international conference on pattern recognition (ICPR), 4256-4262, 2022
Cohesion-based online actor-critic reinforcement learning for mhealth intervention
F Zhu, P Liao, X Zhu, Y Yao, J Huang
arXiv preprint arXiv:1703.10039, 2017
Weightaln: Weighted homologous alignment for protein structure property prediction
Y Guo, J Wu, H Ma, J Yang, X Zhu, J Huang
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
A Novel Method To Collect Kinect-Comparable RGB-D Outdoor Image
X Zhu, S Tang
Global Perspectives on AI (GPAI) Vol 3, 2015
ProVLA: Compositional image search with progressive vision-language alignment and multimodal fusion
Z Hu, X Zhu, S Tran, R Vidal, A Dhua
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Multimodal Representation and Retrieval [MRR 2024]
X Zhu, A Dhua, D Gray, IZ Yalniz, T Yu, M Elhoseiny, B Plummer
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
Bringing multimodality to Amazon visual search system
X Zhu, M Huang, H Ding, J Yang, K Chen, T Zhou, T Neiman, O Xie, ...
Leveraging Large Language Models for Multimodal Search
O Barbany, M Huang, X Zhu, A Dhua
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
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