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Ze Ye
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Persistence enhanced graph neural network
Q Zhao, Z Ye, C Chen, Y Wang
International Conference on Artificial Intelligence and Statistics, 2896-2906, 2020
652020
Curvature Graph Network
CC Ze Ye, Kin Sum Liu,Tengfei Ma,Jie Gao
International Conference on Learning Representations, 2020
64*2020
Reading labels of cylinder objects for blind persons
Z Ye, C Yi, Y Tian
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
112013
Solving m-modes in loopy graphs using tree decompositions
C Chen, C Yuan, Z Ye, C Chen
International Conference on Probabilistic Graphical Models, 145-156, 2018
92018
Diverse multiple prediction on neuron image reconstruction
Z Ye, C Chen, C Yuan, C Chen
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
52019
Spatial Transcriptomic Analysis Reveals Associations between Genes and Cellular Topology in Breast and Prostate Cancers
CCTSJ Lujain Alsaleh,Chen Li,Justin L. Couetil,Ze Ye,Kun Huang,Jie Zhang
Cancers 14 (https://doi.org/10.3390/cancers14194856), 2022
22022
Distribution of intravascular and extravascular extracellular volume fractions for neovascularization assessment by dynamic contrast-enhanced magnetic resonance imaging
Y Sun, Z Ye
2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2012
12012
RT2S: A framework for learning with noisy labels
I Bhattacharya, Z Ye, K Pavani, S Dasgupta
The ACM Conference on Information and Knowledge Management, 2023
2023
LAMM: Language aware active learning for multilingual models
Z Ye, D Liu, K Pavani, S Dasgupta
The ACM Conference on Information and Knowledge Management, 2023
2023
Spatial Transcriptomic Analysis Reveals Associations between Genes and Cellular Topology in Breast and Prostate Cancers. Cancers 2022, 14, 4856
L Alsaleh, C Li, JL Couetil, Z Ye, K Huang, J Zhang, C Chen, TS Johnson
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
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