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ORCIDGe Yang 0002
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
- affiliation: Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA, USA
- affiliation: Scripps Research Institute, San Diego, CA, USA
- affiliation (PhD 2004): University of Minnesota Twin Cities, Minneapolis, MN, USA
Other persons with the same name
- Ge Yang — disambiguation page
- Ge Yang 0001 — Ohio State University, Department of Computer Science & Engineering, Columbus, OH, USA (and 1 more)
- Ge Yang 0003 — Massachusetts Institute of Technology (MIT), Cambridge, MA, USA (and 2 more)
- Ge Yang 0004 — Nvidia Corp., Santa Clara, CA, USA (and 1 more)
- Ge Yang 0005 — Harbin Engineering of Technology, School of Computer Science and Technology, China
- Ge Yang 0006 — Peking University, Shenzhen Graduate School, China
- Ge Yang 0007 — Xidian University, School of Electronic Engineering, Xian, Shaanxi, China
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Journal Articles
- 2021
[j6]Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu
:
Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms. Bioinform. 37(2): 185-191 (2021)- 2018
- [j5]Xiaoqi Chai, Qinle Ba, Ge Yang:
Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology. Quant. Biol. 6(4): 344-358 (2018) - 2017
- [j4]Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai, Eric P. Xing:
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. Bioinform. 33(14): i13-i22 (2017) - 2016
- [j3]Hao-Chih Lee, Tao Liao, Yongjie Jessica Zhang, Ge Yang:
Shape component analysis: structure-preserving dimension reduction on biological shape spaces. Bioinform. 32(5): 755-763 (2016) - 2005
- [j2]Ge Yang, James A. Gaines, Bradley J. Nelson:
Optomechatronic Design of Microassembly Systems for Manufacturing Hybrid Microsystems. IEEE Trans. Ind. Electron. 52(4): 1013-1023 (2005) - 2003
- [j1]Ge Yang, James A. Gaines, Bradley J. Nelson:
A Supervisory Wafer-Level 3D Microassembly System for Hybrid MEMS Fabrication. J. Intell. Robotic Syst. 37(1): 43-68 (2003)
Conference and Workshop Papers
- 2024
- [c32]Lingrui Li, Yanfeng Zhou, Ge Yang:
Robust Source-Free Domain Adaptation for Fundus Image Segmentation. WACV 2024: 7825-7834 - 2023
- [c31]Yanfeng Zhou, Yiming Huang, Ge Yang:
Spatial and Planar Consistency for Semi-Supervised Volumetric Medical Image Segmentation. BMVC 2023: 84-88 - [c30]Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang:
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. ICCV 2023: 4401-4411 - [c29]Yanfeng Zhou, Jiaxing Huang, Chenlong Wang, Le Song, Ge Yang:
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images. ICCV 2023: 21028-21039 - [c28]Yiming Huang, Guole Liu, Yaoru Luo, Ge Yang:
ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection. ICIP 2023: 206-210 - 2022
- [c27]Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang:
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation. AAAI 2022: 1908-1916 - [c26]Guole Liu, Yaoru Luo, Ge Yang:
3d Particle Picking in Cryo-Electron Tomograms Using Instance Segmentation. ICIP 2022: 2157-2161 - [c25]Shiyu Wu, Guole Liu, Ge Yang:
Fast Particle Picking For Cryo-Electron Tomography Using One-Stage Detection. ISBI 2022: 1-5 - [c24]Yuanhao Guo, Yaoru Luo, Wenjing Li, Ge Yang:
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations. PRCV (2) 2022: 164-177 - 2021
- [c23]Bo You, Ge Yang:
Attention-based LSTM for Motion Switching Detection of Particles in Living Cells. IJCNN 2021: 1-6 - [c22]Liqun Zhong, Guole Liu, Ge Yang:
Blind Denoising of Fluorescence Microscopy Images Using GAN-Based Global Noise Modeling. ISBI 2021: 863-867 - [c21]Yuanhao Guo, Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Wenjing Li, Ge Yang:
Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features. PRCV (3) 2021: 386-397 - 2020
- [c20]Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion. ISBI 2020: 149-153 - 2019
- [c19]Yile Feng, Xiaoqi Chai, Qinle Ba, Ge Yang:
Quality Assessment of Synthetic Fluorescence Microscopy Images for Image Segmentation. ICIP 2019: 814-818 - 2018
- [c18]Xiaoqi Chai, Qinle Ba, Ge Yang:
Characterizing Robustness and Sensitivity of Convolutional Neural Networks in Segmentation of Fluorescence Microscopy Images. ICIP 2018: 3838-3842 - 2017
- [c17]Huilin Yang, Jing Wang, Haiyun Tang, Qinle Ba, Ge Yang, Xiaoying Tang:
Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matching. EMBC 2017: 4062-4065 - [c16]Xiaoqi Chai, Douglas Qian, Qinle Ba, Angran Li, Yongjie Jessica Zhang, Ge Yang:
Image-based measurement of cargo traffic flow in complex neurite networks. ICIP 2017: 3290-3294 - 2015
- [c15]Hao-Chih Lee, Ge Yang:
An image-based computational method for characterizing whole-cell scale spatiotemporal dynamics of intracellular transport. ISBI 2015: 699-702 - [c14]Kuan-Chieh Jackie Chen, Yiyi Yu, Jelena Kovacevic, Ge Yang:
A sliding-window data aggregation method for super-resolution imaging of live cells. ISBI 2015: 785-788 - 2014
- [c13]Kuan-Chieh Jackie Chen, Minhua Qiu, Jelena Kovacevic, Ge Yang:
Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport. CompIMAGE 2014: 292-303 - [c12]Jianquan Xu, Yiyi Yu, Hao-Chih Lee, Qirui Fan, Jessica Winter, Ge Yang:
Cell penetrating peptide mediated quantum dot delivery and release in live mammalian cells. EMBC 2014: 4260-4263 - [c11]Kuan-Chieh Jackie Chen, Ge Yang, Jelena Kovacevic:
Spatial density estimation based segmentation of super-resolution localization microscopy images. ICIP 2014: 867-871 - [c10]Hao-Chih Lee, Ge Yang:
Computational removal ofbackground fluorescence for biological fluorescence microscopy. ISBI 2014: 205-208 - [c9]Hao-Chih Lee, Ge Yang:
Integrating dimension reduction with mean-shift clustering for biological shape classification. ISBI 2014: 254-257 - [c8]Kuan-Chieh Jackie Chen, Jelena Kovacevic, Ge Yang:
Structure-based determination of imaging length for super-resolution localization microscopy. ISBI 2014: 991-994 - 2013
- [c7]Minhua Qiu, Ge Yang:
Drift correction for fluorescence live cell imaging through correlated motion identification. ISBI 2013: 452-455 - 2012
- [c6]Kuan-Chieh Jackie Chen, Yiyi Yu, Ruiqin Li, Hao-Chih Lee, Ge Yang, Jelena Kovacevic:
Adaptive active-mask image segmentation for quantitative characterization of mitochondrial morphology. ICIP 2012: 2033-2036 - [c5]Minhua Qiu, Hao-Chih Lee, Ge Yang:
Nanometer resolution tracking and modeling of bidirectional axonal cargo transport. ISBI 2012: 992-995 - 2003
- [c4]Ge Yang, Bradley J. Nelson:
Micromanipulation contact transition control by selective focusing and microforce control. ICRA 2003: 3200-3206 - [c3]Ge Yang, Bradley J. Nelson:
Wavelet-based autofocusing and unsupervised segmentation of microscopic images. IROS 2003: 2143-2148 - 2002
- [c2]Michael A. Greminger, Ge Yang, Bradley J. Nelson:
Sensing Nanonewton Level Forces by Visually Tracking Structural Deformations. ICRA 2002: 1943-1948 - 2001
- [c1]Ge Yang, James A. Gaines, Bradley J. Nelson:
A Flexible Experimental Workcell for Efficient and Reliable Wafer-Level 3D Microassembly. ICRA 2001: 133-138
Data and Artifacts
- 2022
- [d2]Liqun Zhong, Ge Yang, Lingrui Li:
Robustness Benchmark Datasets for Semantic Segmentation of Fluorescence Images. IEEE DataPort, 2022
- 2021
- [d1]Yaoru Luo, Yuanhao Guo, Wenjing Li, Guole Liu, Ge Yang:
Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks. IEEE DataPort, 2021
Informal and Other Publications
- 2023
- [i8]Kaijie Zhu, Jindong Wang, Xixu Hu, Xing Xie, Ge Yang:
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. CoRR abs/2308.02533 (2023) - [i7]Yiming Huang, Guole Liu, Yaoru Luo, Ge Yang:
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection. CoRR abs/2308.15280 (2023) - [i6]Lingrui Li, Yanfeng Zhou, Ge Yang:
Robust Source-Free Domain Adaptation for Fundus Image Segmentation. CoRR abs/2310.16665 (2023) - 2022
- [i5]Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang:
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks. CoRR abs/2205.00160 (2022) - 2021
- [i4]Yaoru Luo, Guole Liu, Wenjing Li, Yuanhao Guo, Ge Yang:
Deep Neural Networks Learn Meta-Structures to Segment Fluorescence Microscopy Images. CoRR abs/2103.11594 (2021) - [i3]Tianjie Yang, Yaoru Luo, Wei Ji, Ge Yang:
Advancing biological super-resolution microscopy through deep learning: a brief review. CoRR abs/2106.13064 (2021) - 2020
- [i2]Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu:
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms. CoRR abs/2007.15422 (2020) - 2019
- [i1]Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion. CoRR abs/1910.13740 (2019)
Coauthor Index
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