Jingyuan Xu

According to our database, Jingyuan Xu authored at least 8 papers between 2016 and 2023.

Collaborative distances:

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

2023

Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip.

Jingyuan Xu, Hongtao Xie, Qingfeng Tan, Hai Wu, Chuanbin Liu, Sicheng Zhang, Zhendong Mao, Yongdong Zhang

World Wide Web (WWW), March, 2023

A Nonlinear Multimode Controller for Seamless off-Grid of Energy Storage Inverter Under Unintentional Islanding.

Hongyang Qing, Chunjiang Zhang, Jingyuan Xu, Songlin Zeng, Xiaoqiang Guo

IEEE Trans. Ind. Electron., 2023

Characterization of Overfitting in Robust Multiclass Classification.

Jingyuan Xu, Weiwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On Robust Multiclass Learnability.

Jingyuan Xu, Weiwei Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Proxy Probing Decoder for Weakly Supervised Object Localization: A Baseline Investigation.

Jingyuan Xu, Hongtao Xie, Chuanbin Liu, Yongdong Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Hip Landmark Detection With Dependency Mining in Ultrasound Image.

Jingyuan Xu, Hongtao Xie, Chuanbin Liu, Fang Yang, Sicheng Zhang, Xun Chen, Yongdong Zhang

IEEE Trans. Medical Imaging, 2021

2019

Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip.

Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Jingyuan Xu, Jun Sun, Yongdong Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2016

An OWL Ontology Representation for Machine-Learned Functions Using Linked Data.

Jingyuan Xu, Hao Wang, Henry Trimbach

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016