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ORCIDShuo Jin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j17]Jinghua Yue
, Shuo Jin, Siyuan Wang, Jianping Zeng, Siqiao Shan, Bo Liu, Nan Jiang, Fugen Zhou:
A shape-supervised feature fusion U-Net for tubular structure segmentation. Comput. Electr. Eng. 119: 109522 (2024)- [j16]Jie Xu, Minbin Su, Yuxuan Sun, Wenbin Pan, Hongchuan Cui, Shuo Jin, Li Zhang, Pei Wang:
Tree Crown Segmentation and Diameter at Breast Height Prediction Based on BlendMask in Unmanned Aerial Vehicle Imagery. Remote. Sens. 16(2): 368 (2024) - [j15]Shuo Jin, Chao Wang, Zhizhuo Zhen, Xiaoning Cao, Jianyu Wang:
Estimation of Temperature for Premixed Flame by Relative Permittivity and Conductivity. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j14]Xiaoyuan Xie, Shuo Jin, Songqiang Chen:
qaAskeR+: a novel testing method for question answering software via asking recursive questions. Autom. Softw. Eng. 30(1): 14 (2023) - [j13]Meiqin Liu, Shuo Jin, Chao Yao, Chunyu Lin, Yao Zhao:
Temporal Consistency Learning of Inter-Frames for Video Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1507-1520 (2023) - [j12]Chao Wang, Shuo Jin, Zhizhuo Zhen, Xiaoning Cao, Jiamin Ye:
Flame Complex Permittivity Model Considering Electrons and Positive Ions. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j11]Zhen Wang, Shuo Jin, Linhao Li, Yongfeng Dong, Qinghua Hu:
Meta-Probability Weighting for Improving Reliability of DNNs to Label Noise. IEEE J. Biomed. Health Informatics 27(4): 1726-1734 (2023) - [c13]Zhen Wang, Shuo Jin, Jiapeng Du, Linhao Li, Yongfeng Dong:
Training Noise Robust Deep Neural Networks with Self-supervised Learning. ADMA (4) 2023: 297-311 - [c12]Shuo Jin, Meiqin Liu, Yu Guo, Chao Yao, Mohammad S. Obaidat:
Multi-frame Correlated Representation Network for Video Super-Resolution. CITS 2023: 1-7 - [c11]Hu Qiu, Jing Zhang, Hao Zhan, Lifeng Chen, Haodong Yang, Shuo Jin, Yangyang Cao:
Influence of DC Component on DC GIS Gap Breakdown under AC and DC Superimposed Voltages. EEET 2023: 203-207 - [c10]Jinghua Yue, Nan Jiang, Bo Liu, Fugen Zhou, Shuo Jin, Siyuan Wang, Jianping Zeng:
SCU-Net: A Shape-Supervised Contextual-Fusion U-Net for the Dilated Biliary Tree Segmentation. ISBI 2023: 1-5 - [c9]Yuqi Jiang, Chune Zhang, Shuo Jin, Jiao Liu, Jiapeng Wang:
CLG-INet: Coupled Local-Global Interactive Network for Image Restoration. ACM Multimedia 2023: 7580-7589 - [c8]Shuo Jin, Meiqin Liu, Chao Yao, Chunyu Lin, Yao Zhao:
Kernel Dimension Matters: To Activate Available Kernels for Real-time Video Super-Resolution. ACM Multimedia 2023: 8617-8625 - [i8]Xiaoyuan Xie, Shuo Jin, Songqiang Chen, Shing-Chi Cheung:
Word Closure-Based Metamorphic Testing for Machine Translation. CoRR abs/2312.12056 (2023) - 2022
- [c7]Chao Wang, Shuo Jin, Xiaoning Cao, Jiamin Ye:
Improvement of Flame Complex Permittivity Model Considering Positive Ions and Electrons. I2MTC 2022: 1-5 - [i7]Chao Yao, Shuo Jin, Meiqin Liu, Xiaojuan Ban:
Dense residual Transformer for image denoising. CoRR abs/2205.06944 (2022) - [i6]Meiqin Liu, Shuo Jin, Chao Yao, Chunyu Lin, Yao Zhao:
Temporal Consistency Learning of inter-frames for Video Super-Resolution. CoRR abs/2211.01639 (2022) - 2021
- [j10]Bo Wang, Shuo Jin, Qingsen Yan, Haibo Xu, Chuan Luo, Lai Wei, Wei Zhao, Xuexue Hou, Wenshuo Ma, Zhengqing Xu, Zhuozhao Zheng, Wenbo Sun, Lan Lan, Wei Zhang, Xiangdong Mu, Chenxi Shi, Zhongxiao Wang, Jihae Lee, Jiahong Dong:
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system. Appl. Soft Comput. 98: 106897 (2021) - [j9]Xin Liu, Chuhua Xian, Shuo Jin, Guiqing Li:
Surface attributes driven volume segmentation for 3D-printing. Comput. Graph. 100: 43-53 (2021) - [j8]Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Jingyang Ai, Qinfeng Shi, Yanning Zhang, Shuo Jin, Liang Zhang, Zheng You:
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. IEEE Trans. Big Data 7(1): 13-24 (2021) - [c6]Yijing Chen, Chuhua Xian, Shuo Jin, Guiqing Li:
3D Shape-Adapted Garment Generation with Sketches. CGI 2021: 125-136 - [c5]Songqiang Chen, Shuo Jin, Xiaoyuan Xie:
Testing Your Question Answering Software via Asking Recursively. ASE 2021: 104-116 - [c4]Shuo Jin, Songqiang Chen, Xiaoyuan Xie:
Property-based Test for Part-of-Speech Tagging Tool. ASE 2021: 1306-1311 - [c3]Songqiang Chen, Shuo Jin, Xiaoyuan Xie:
Validation on machine reading comprehension software without annotated labels: a property-based method. ESEC/SIGSOFT FSE 2021: 590-602 - [i5]Yekun Chai, Shuo Jin, Junliang Xing:
RefineCap: Concept-Aware Refinement for Image Captioning. CoRR abs/2109.03529 (2021) - 2020
- [c2]Bo Wang, Qingsen Yan, Zhengqing Xu, Jingyang Ai, Shuo Jin, Wei Xu, Wei Zhao, Liang Zhang, Zheng You:
A Benchmark Dataset for Segmenting Liver, Vasculature and Lesions from Large-scale Computed Tomography Data. ICPR 2020: 6584-6591 - [i4]Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You:
COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. CoRR abs/2004.10987 (2020) - [i3]Yekun Chai, Haidong Zhang, Shuo Jin:
Neural Text Classification by Jointly Learning to Cluster and Align. CoRR abs/2011.12184 (2020)
2010 – 2019
- 2019
- [j7]Jiangjun Ruan, Yiming Xie, Shuo Jin, Yu Shi, Yu Tian, Yongqing Deng:
Inversion of Oil-Immersed Paper Resistivity in Transformer Based on Dielectric Loss Factor. IEEE Access 7: 44050-44058 (2019) - [j6]Zhi-Guang Pan, Chuhua Xian, Shuo Jin, Guiqing Li:
Progressive Furniture Model Decimation with Texture Preservation. J. Comput. Sci. Technol. 34(6): 1258-1268 (2019) - 2018
- [j5]Chuhua Xian, Shuo Jin, Charlie C. L. Wang:
Efficient C2-Weighting for Image Warping. IEEE Computer Graphics and Applications 38(1): 59-76 (2018) - 2017
- [j4]Shuo Jin, Chengkai Dai, Yang Liu, Charlie C. L. Wang:
Motion Imitation Based on Sparsely Sampled Correspondence. J. Comput. Inf. Sci. Eng. 17(4) (2017) - 2016
- [i2]Shuo Jin, Chengkai Dai, Yang Liu, Charlie C. L. Wang:
Motion Imitation Based on Sparsely Sampled Correspondence. CoRR abs/1607.04907 (2016) - 2015
- [j3]Kailun Hu, Shuo Jin, Charlie C. L. Wang:
Support slimming for single material based additive manufacturing. Comput. Aided Des. 65: 1-10 (2015) - [j2]Camille Schreck, Damien Rohmer, Stefanie Hahmann, Marie-Paule Cani, Shuo Jin, Charlie C. L. Wang, Jean-Francis Bloch:
Nonsmooth Developable Geometry for Interactively Animating Paper Crumpling. ACM Trans. Graph. 35(1): 10:1-10:18 (2015) - [i1]Chuhua Xian, Shuo Jin, Charlie C. L. Wang:
Meshfree C^2-Weighting for Shape Deformation. CoRR abs/1507.02800 (2015) - 2014
- [j1]Shuo Jin, Yunbo Zhang, Charlie C. L. Wang:
Deformation with enforced metrics on length, area and volume. Comput. Graph. Forum 33(2): 429-438 (2014) - [c1]Shuo Jin, Bin Wang:
A preprocessing method based on independent component analysis with references for target detection in hyperspectral imagery. ICAILP 2014: 537-542
Coauthor Index
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last updated on 2024-09-26 01:00 CEST by the dblp team
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