Jingya Liu

According to our database, Jingya Liu authored at least 16 papers between 2015 and 2023.

Collaborative distances:

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

2023

What Learners Want: Revealing the Focal Topics in MOOC Reviews.

Jingya Liu, Qiao Zhong, Zequan Shen, Zhao Du, Fang Wang, Shan Wang

Proceedings of the E-Business. Digital Empowerment for an Intelligent Future, 2023

HNSSL: Hard Negative-Based Self-Supervised Learning.

Wentao Zhu, Jingya Liu, Yufang Huang

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

2022

Virtual contrast enhancement for CT scans of abdomen and pelvis.

Jingya Liu, Yingli Tian, Cihan Duzgol, Oguz Akin, A. Muhtesem Agildere, K. Murat Haberal, Mehmet Coskun

Comput. Medical Imaging Graph., 2022

Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis.

Jingya Liu, Bin Lou, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Yingli Tian, Dorin Comaniciu, Ali Kamen

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Exploring Airbnb Users' Concerns with LDA-based Topic Model and Sentiment Analysis.

Jingya Liu, Xiaomin Hu, Qiao Zhong

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021

Layout evaluation for electric vehicle charging pile based on charging frequency.

Xiangke Cui, Zhenji Zhang, Fang Liu, Jingya Liu

J. Intell. Fuzzy Syst., 2021

Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation.

Jingya Liu, Oguz Akin, Yingli Tian

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

DyeFreeNet: Deep Virtual Contrast CT Synthesis.

Jingya Liu, Yingli Tian, A. Muhtesem Agildere, K. Murat Haberal, Mehmet Coskun, Cihan Duzgol, Oguz Akin

Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Deep Active Learning for Effective Pulmonary Nodule Detection.

Jingya Liu, Liangliang Cao, Yingli Tian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning.

Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian

CoRR, 2019

3DFPN-HS²: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection.

Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian

CoRR, 2019

3DFPN-HS ^2 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection.

Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian

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

2018

Recognizing American Sign Language Gestures From Within Continuous Videos.

Yuancheng Ye, Yingli Tian, Matt Huenerfauth, Jingya Liu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

WOS-ELM-Based Double Redundancy Fault Diagnosis and Reconstruction for Aeroengine Sensor.

Zhen Zhao, Zhexu Liu, Yigang Sun, Jingya Liu

J. Control. Sci. Eng., 2017

2016

Sensing, calculating, and disseminating evacuating routes during an indoor fire using a sensor and diffusion network.

Jingya Liu, Roberto Rojas-Cessa, Ziqian Dong

Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

2015

Real-time evacuating routing during earthquake using a sensor network in an indoor environment.

Jingya Liu, Roberto Rojas-Cessa, Ziqian Dong

Proceedings of the 36th IEEE Sarnoff Symposium 2015, Newark, NJ, USA, 2015