Jun Ying

According to our database, Jun Ying authored at least 17 papers between 2003 and 2024.

Collaborative distances:

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

2024

Auto-Regressive Model with Exogenous Input-ARX-based traffic-flow prediction.

Jun Ying, Xin Dong, Bowei Li, Zihan Tian

CoRR, 2024

2023

Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration.

Zhen Yang, Jun Ying, Junjie Shen, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao, Henry X. Liu

IEEE Trans. Intell. Transp. Syst., September, 2023

2022

A parallel algorithm for multi-AGV systems.

Dingding Yu, Xianliang Hu, Kewei Liang, Jun Ying

J. Ambient Intell. Humaniz. Comput., 2022

Engaging with Immersive Technologies in Medical Library: An Investigation of Students' Perceived Affordances and Constraints.

Yuxiang (Chris) Zhao, Jingwen Lian, Shijie Song, Jun Ying

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021

Shard Manager: A Generic Shard Management Framework for Geo-distributed Applications.

Sangmin Lee, Zhenhua Guo, Omer Sunercan, Jun Ying, Thawan Kooburat, Suryadeep Biswal, Jun Chen, Kun Huang, Yatpang Cheung, Yiding Zhou, Kaushik Veeraraghavan, Biren Damani, Pol Mauri Ruiz, Vikas Mehta, Chunqiang Tang

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

2020

Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks.

Jun Ying, Joyita Dutta, Ning Guo, Chenhui Hu, Dan Zhou, Arkadiusz Sitek, Quanzheng Li

IEEE J. Biomed. Health Informatics, 2020

In-Hospital Mortality Prediction for Heart Failure Patients Using Electronic Health Records and an Improved Bagging Algorithm.

Binhua Wang, Xiao Ma, Yifei Wang, Wei Dong, Chengyu Liu, Yongyi Bai, Suyan Bian, Jun Ying, Xin Hu, Shanshan Wan, Wanguo Xue, Yaping Tian, Cheng Zhong, Yang Zhang, Kunlun He, Jiayue Li

J. Medical Imaging Health Informatics, 2020

Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm.

Hong He, Yonghong Tan, Jun Ying, Wuxiong Zhang

Appl. Soft Comput., 2020

2019

Feature Selection and Recognition of Multivariate Physiological Signals Using Binary Firefly Algorithm.

Hong He, Feihu Peng, Jun Ying

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Stress Intensity Factors for Thick-walled Cylinder under Interference Fit.

Jun Ying, Zhaojun Yang, Chuanhai Chen, Xiaoxu Li, Hailong Tian

Proceedings of the 4th International Conference on System Reliability and Safety, 2019

A Model Optimization Method for Accelerated Degradation Test Data.

Xiaobing Li, Guangze Pan, Jun Ying, Xiaocui Zhu

Proceedings of the 4th International Conference on System Reliability and Safety, 2019

2018

Development of Reliability Test System Based on Working Principle and Fault Analysis of Motorized Spindle.

Hongxun Zhao, Zhaojun Yang, Chuanhai Chen, Hailong Tian, Lei Chen, Jun Ying, Xu Jia

Proceedings of the 3rd International Conference on System Reliability and Safety, 2018

2016

Localizing Sources of Brain Disease Progression with Network Diffusion Model.

Chenhui Hu, Xue Hua, Jun Ying, Paul M. Thompson, Georges El Fakhri, Quanzheng Li

IEEE J. Sel. Top. Signal Process., 2016

Gold classification of COPDGene cohort based on deep learning.

Jun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2012

Derived SNP Alleles are Used More Frequently than Ancestral Alleles as Risk-associated Variants in Common Human Diseases.

Olga Y. Gorlova, Jun Ying, Christopher I. Amos, Margaret R. Spitz, Bo Peng, Ivan P. Gorlov

J. Bioinform. Comput. Biol., 2012

2004

Information Services in Digital Library, Fudan's Experience.

Yixin Xu, Jun Ying, Xinli Si, Meiqi Mo, Zhiping Xia

Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004

2003

Bayesian and profile likelihood change point methods for modeling cognitive function over time.

Charles B. Hall, Jun Ying, Lynn Kuo, Richard B. Lipton

Comput. Stat. Data Anal., 2003