Jingyong Su

According to our database, Jingyong Su authored at least 47 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Double High-Order Correlation Preserved Robust Multi-View Ensemble Clustering.

Xiaojia Zhao, Tingting Xu, Qiangqiang Shen, Youfa Liu, Yongyong Chen, Jingyong Su

ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection.

Weiwei Xiao, Yongyong Chen, Qiben Shan, Yaowei Wang, Jingyong Su

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Malicious Domains Detection Method Based on File Sandbox Traffic.

Daojing He, Jiayu Dai, Hongjie Gu, Shanshan Zhu, Sammy Chan, Jingyong Su, Mohsen Guizani

IEEE Netw., November, 2023

Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory.

Jingyong Su, Junyao Ye, Liqiang Nie, Yilong Cao, Yongyong Chen

IEEE Trans. Knowl. Data Eng., October, 2023

Two-Person Graph Convolutional Network for Skeleton-Based Human Interaction Recognition.

Zhengcen Li, Yueran Li, Linlin Tang, Tong Zhang, Jingyong Su

IEEE Trans. Circuits Syst. Video Technol., July, 2023

A Riemannian Framework for Structurally Curated Functional Clustering of Brain White Matter Fibers.

Yi Zhao, Zhipeng Yang, Zhaohua Ding, Jingyong Su

IEEE Trans. Medical Imaging, 2023

Multi-view Ensemble Clustering via Low-rank and Sparse Decomposition: From Matrix to Tensor.

Xuanqi Zhang, Qiangqiang Shen, Yongyong Chen, Guokai Zhang, Zhongyun Hua, Jingyong Su

ACM Trans. Knowl. Discov. Data, 2023

Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics From Surface Electromyographic Signals.

Weiyu Guo, Ning Jiang, Dario Farina, Jingyong Su, Zheng Wang, Chuang Lin, Hui Xiong

IEEE Trans. Hum. Mach. Syst., 2023

Cross-Scale-Guided Fusion Transformer for Disaster Assessment Using Satellite Imagery.

Weiwei Xiao, Jingyong Su, Yongyong Chen, Guofeng Cao

IEEE Trans. Geosci. Remote. Sens., 2023

A deep transfer learning network for structural condition identification with limited real-world training data.

Nengxin Bao, Tong Zhang, Ruizhi Huang, Suryakanta Biswal, Jingyong Su, Ying Wang

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.

Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chenyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

RV-ESA: A novel computer-aided elastic shape analysis system for retinal vessels in diabetic retinopathy.

Xiaoling Luo, Honggang Zhang, Jingyong Su, Wai Keung Wong, Jinkai Li, Yong Xu

Comput. Biol. Medicine, 2023

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.

Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency.

Yang Yang, Ruixuan Wang, Tong Zhang, Jingyong Su

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Transformer-based Cross Reference Network for video salient object detection.

Kan Huang, Chunwei Tian, Jingyong Su, Jerry Chun-Wei Lin

Pattern Recognit. Lett., 2022

Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition.

Zhengcen Li, Yueran Li, Linlin Tang, Tong Zhang, Jingyong Su

CoRR, 2022

Statistical analysis of the community lockdown for COVID-19 pandemic.

Shaocong Wu, Xiaolong Wang, Jingyong Su

Appl. Intell., 2022

A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling.

Junyao Ye, Jingyong Su, Yilong Cao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Riemannian Framework for Functional Clustering of Whole Brain White Matter Fibers.

Yi Zhao, Jingyong Su, Zhipeng Yang, Zhaohua Ding

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering.

Yongyong Chen, Shuqin Wang, Jingyong Su, Junxin Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms.

Xiaoling Luo, Zuhui Pu, Yong Xu, Wai Keung Wong, Jingyong Su, Xiaoyan Dou, Baikang Ye, Jiying Hu, Lisha Mou

Pattern Recognit., 2021

2020

A Labeling Method for Financial Time Series Prediction Based on Trends.

Dingming Wu, Xiaolong Wang, Jingyong Su, Buzhou Tang, Shaocong Wu

Entropy, 2020

A Riemannian Framework for Detecting Stimulus-Relevant Fiber Pathways.

Mengmeng Guo, Jingyong Su, Zhipeng Yang, Linlin Tang, Zhaohua Ding

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Kernel nearest-farthest subspace classifier for face recognition.

Lin-Lin Tang, Zuohua Li, Jingyong Su, Huifen Lu, Zhangyan Li, Zhen Pang, Yong Zhang

Multim. Tools Appl., 2019

A distance weighted linear regression classifier based on optimized distance calculating approach for face recognition.

Lin-Lin Tang, Huifen Lu, Zhen Pang, Zhangyan Li, Jingyong Su

Multim. Tools Appl., 2019

Application Research of Ripley's K-function in Point Cloud Data Shape Analysis.

Linlin Tang, Xupeng Tong, Jingyong Su

Proceedings of the Genetic and Evolutionary Computing, 2019

2018

Rate-Invariant Analysis of Covariance Trajectories.

Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava

J. Math. Imaging Vis., 2018

2017

Elastic Functional Coding of Riemannian Trajectories.

Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Spatially Coherent Interpretations of Videos Using Pattern Theory.

Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su

Int. J. Comput. Vis., 2017

2016

Pattern theory for representation and inference of semantic structures in videos.

Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su

Pattern Recognit. Lett., 2016

Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories.

Boulbaba Ben Amor, Jingyong Su, Anuj Srivastava

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories.

Zhengwu Zhang, Jingyong Su, Eric Klassen, Huiling Le, Anuj Srivastava

CoRR, 2015

Temporally coherent interpretations for long videos using pattern theory.

Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Elastic functional coding of human actions: From vector-fields to latent variables.

Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Pattern Theory-Based Interpretation of Activities.

Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Shape Estimation from 3D Point Clouds.

Jingyong Su, Lin-Lin Tang

Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition.

Jingyong Su, Anuj Srivastava, Fillipe D. M. de Souza, Sudeep Sarkar

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Statistical analysis of manual segmentations of structures in medical images.

Sebastian Kurtek, Jingyong Su, Cindy Grimm, Michelle Vaughan, Ross T. Sowell, Anuj Srivastava

Comput. Vis. Image Underst., 2013

Detection, classification and estimation of individual shapes in 2D and 3D point clouds.

Jingyong Su, Anuj Srivastava, Fred W. Huffer

Comput. Stat. Data Anal., 2013

Rate-invariant comparisons of covariance paths for visual speech recognition.

Jingyong Su, Anuj Srivastava, Fillipe D. M. de Souza, Sudeep Sarkar

Proceedings of the Fourth National Conference on Computer Vision, 2013

Joint Registration and Shape Analysis of Curves and Surfaces.

Jingyong Su, Sebastian Kurtek, Anuj Srivastava

Proceedings of the Shape Perception in Human and Computer Vision, 2013

2012

Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds.

Jingyong Su, Ian L. Dryden, Eric Klassen, Huiling Le, Anuj Srivastava

Image Vis. Comput., 2012

2010

Detection of Shapes in 2D Point Clouds Generated from Images.

Jingyong Su, Zhiqiang Zhu, Anuj Srivastava, Fred W. Huffer

Proceedings of the 20th International Conference on Pattern Recognition, 2010

A fully statistical framework for shape detection in image primitives.

Jingyong Su, Zhiqiang Zhu, Anuj Srivastava, Fred W. Huffer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010