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Jingya Liu
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2020 – today
- 2024
- [c12]Jingya Liu, Issac Huang, Aishwarya Anand, Po-Hao Chang, Yufang Huang:
Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction. VR Workshops 2024: 368-373 - 2023
- [c11]Wentao Zhu, Jingya Liu, Yufang Huang:
HNSSL: Hard Negative-Based Self-Supervised Learning. CVPR Workshops 2023: 4778-4787 - [c10]Jingya Liu, Qiao Zhong, Zequan Shen, Zhao Du, Fang Wang, Shan Wang:
What Learners Want: Revealing the Focal Topics in MOOC Reviews. WHICEB (2) 2023: 298-308 - 2022
- [j3]Jingya Liu, Yingli Tian
, Cihan Duzgol, Oguz Akin, A. Muhtesem Agildere
, K. Murat Haberal
, Mehmet Coskun:
Virtual contrast enhancement for CT scans of abdomen and pelvis. Comput. Medical Imaging Graph. 100: 102094 (2022) - [c9]Jingya Liu, Xiaomin Hu, Qiao Zhong:
Exploring Airbnb Users' Concerns with LDA-based Topic Model and Sentiment Analysis. DSIT 2022: 1-5 - [c8]Jingya Liu, Bin Lou, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Yingli Tian, Dorin Comaniciu, Ali Kamen:
Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis. MIDL 2022: 796-807 - 2021
- [j2]Xiangke Cui, Zhenji Zhang, Fang Liu, Jingya Liu:
Layout evaluation for electric vehicle charging pile based on charging frequency. J. Intell. Fuzzy Syst. 41(4): 4735-4747 (2021) - [c7]Jingya Liu, Oguz Akin, Yingli Tian
:
Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation. MLMI@MICCAI 2021: 80-90 - 2020
- [c6]Jingya Liu, Yingli Tian
, A. Muhtesem Agildere
, K. Murat Haberal, Mehmet Coskun, Cihan Duzgol, Oguz Akin:
DyeFreeNet: Deep Virtual Contrast CT Synthesis. SASHIMI@MICCAI 2020: 80-89 - [c5]Jingya Liu, Liangliang Cao, Yingli Tian
:
Deep Active Learning for Effective Pulmonary Nodule Detection. MICCAI (6) 2020: 609-618
2010 – 2019
- 2019
- [c4]Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian
:
3DFPN-HS ^2 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. MICCAI (6) 2019: 513-521 - [i2]Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian:
3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. CoRR abs/1906.03467 (2019) - [i1]Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian:
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning. CoRR abs/1907.11704 (2019) - 2018
- [c3]Yuancheng Ye, Yingli Tian
, Matt Huenerfauth, Jingya Liu:
Recognizing American Sign Language Gestures From Within Continuous Videos. CVPR Workshops 2018: 2064-2073 - 2017
- [j1]Zhen Zhao
, Zhexu Liu, Yigang Sun
, Jingya Liu:
WOS-ELM-Based Double Redundancy Fault Diagnosis and Reconstruction for Aeroengine Sensor. J. Control. Sci. Eng. 2017: 1982879:1-1982879:14 (2017) - 2016
- [c2]Jingya Liu, Roberto Rojas-Cessa, Ziqian Dong:
Sensing, calculating, and disseminating evacuating routes during an indoor fire using a sensor and diffusion network. ICNSC 2016: 1-6 - 2015
- [c1]Jingya Liu, Roberto Rojas-Cessa, Ziqian Dong:
Real-time evacuating routing during earthquake using a sensor network in an indoor environment. Sarnoff Symposium 2015: 76-81
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