Real-time evacuating routing during earthquake using a sensor network in an indoor environment. - Jingya Liu; Roberto Rojas-Cessa; Ziqian Dong (Sarnoff Symposium, 2015)

Sensing, calculating, and disseminating evacuating routes during an indoor fire using a sensor and diffusion network. - Jingya Liu; Roberto Rojas-Cessa; Ziqian Dong (ICNSC, 2016)

WOS-ELM-Based Double Redundancy Fault Diagnosis and Reconstruction for Aeroengine Sensor. - Zhen Zhao 004; Zhexu Liu; Yigang Sun; Jingya Liu (J. Control. Sci. Eng., 2017)

Recognizing American Sign Language Gestures From Within Continuous Videos. - Yuancheng Ye; Yingli Tian; Matt Huenerfauth; Jingya Liu (CVPR Workshops, 2018)

3DFPN-HS ^2 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection. - Jingya Liu; Liangliang Cao; Oguz Akin; Yingli Tian (MICCAI (6), 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)

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)

Deep Active Learning for Effective Pulmonary Nodule Detection. - Jingya Liu; Liangliang Cao; Yingli Tian (MICCAI (6), 2020)

DyeFreeNet: Deep Virtual Contrast CT Synthesis. - Jingya Liu; Yingli Tian; A. Muhtesem Agildere; K. Murat Haberal; Mehmet Coskun; Cihan Duzgol; Oguz Akin (SASHIMI@MICCAI, 2020)

Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation. - Jingya Liu; Oguz Akin; Yingli Tian (MLMI@MICCAI, 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)

Exploring Airbnb Users' Concerns with LDA-based Topic Model and Sentiment Analysis. - Jingya Liu; Xiaomin Hu; Qiao Zhong (DSIT, 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 002; Yingli Tian; Dorin Comaniciu; Ali Kamen (MIDL, 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)

HNSSL: Hard Negative-Based Self-Supervised Learning. - Wentao Zhu; Jingya Liu; Yufang Huang (CVPR Workshops, 2023)

What Learners Want: Revealing the Focal Topics in MOOC Reviews. - Jingya Liu; Qiao Zhong; Zequan Shen; Zhao Du; Fang Wang 015; Shan Wang 006 (WHICEB (2), 2023)

Low-cost Granary Vehicles Positioning Using a Distributed LED Network. - Jingya Liu; Pengtao Ma; Lingmin Zhang; Yu Geng; Lei Yan (ICCT, 2024)

Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction. - Jingya Liu; Issac Huang; Aishwarya Anand; Po-Hao Chang; Yufang Huang (VR Workshops, 2024)

Unveiling learner experience in MOOC reviews. - Jingya Liu; Zhao Du; Qiao Zhong; Fang Wang 015; Shan Wang 006 (Int. J. Netw. Virtual Organisations, 2024)

Nurturing Minds with AI Tree-holes: Exploring Personalized Feedback, Emotional Capability, and Continuance Intention. - Yongmei Liu 006; Jingya Liu; Bo Sophia Xiao (PACIS, 2025)

Robust multi-view subspace clustering via neighbor embedding on manifold and low-rank representation learning. - Jiarui Kong; Jingya Liu; Ronghua Shang; Weitong Zhang; Songhua Xu; Yangyang Li 001 (Expert Syst. Appl., 2025)