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Ge 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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2020 – today
- 2024
- [j7]Minsheng Hao, Lei Wei, Fan Yang, Jianhua Yao, Christina V. Theodoris, Bo Wang, Xin Li, Ge Yang, Xuegong Zhang:
Current opinions on large cellular models. Quant. Biol. 12(4): 433-443 (2024) - [c34]Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Guole Liu, Heng Guo, Ge Yang:
Representing Topological Self-similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures. ECCV (30) 2024: 143-160 - [c33]Liqun Zhong, Yanfeng Zhou, Ge Yang:
Improve Corruption Robustness of Intracellular Structures Segmentation in Fluorescence Microscopy Images. PRCV (8) 2024: 80-93 - [c32]Lingrui Li, Yanfeng Zhou, Ge Yang:
Robust Source-Free Domain Adaptation for Fundus Image Segmentation. WACV 2024: 7825-7834 - [i10]Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Guole Liu, Heng Guo, Ge Yang:
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures. CoRR abs/2407.14754 (2024) - [i9]Yanfeng Zhou, Lingrui Li, Zichen Wang, Guole Liu, Ziwen Liu, Ge Yang:
XNet v2: Fewer Limitations, Better Results and Greater Universality. CoRR abs/2409.00947 (2024) - 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
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 - [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
- [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
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations. PRCV (2) 2022: 164-177 - [d2]Liqun Zhong, Ge Yang, Lingrui Li:
Robustness Benchmark Datasets for Semantic Segmentation of Fluorescence Images. IEEE DataPort, 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
- [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) - [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
Segmentation of Intracellular Structures in Fluorescence Microscopy Images by Fusing Low-Level Features. PRCV (3) 2021: 386-397 - [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 - [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
- [c20]Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion. ISBI 2020: 149-153 - [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)
2010 – 2019
- 2019
- [c19]Yile Feng, Xiaoqi Chai, Qinle Ba, Ge Yang:
Quality Assessment of Synthetic Fluorescence Microscopy Images for Image Segmentation. ICIP 2019: 814-818 - [i1]Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion. CoRR abs/1910.13740 (2019) - 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) - [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
- [j4]Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. Bioinform. 33(14): i13-i22 (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
Image-based measurement of cargo traffic flow in complex neurite networks. ICIP 2017: 3290-3294 - 2016
- [j3]Hao-Chih Lee, Tao Liao, Yongjie Jessica Zhang
Shape component analysis: structure-preserving dimension reduction on biological shape spaces. Bioinform. 32(5): 755-763 (2016) - 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
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
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
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
2000 – 2009
- 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) - [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
Coauthor Index
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