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2020 – today
- 2024
[j6]Jing Zhang
, Jiaqi Qu, Jiangpei Liu, Zhe Wang:
MCPL: Multi-model co-guided progressive learning for multimodal aspect-based sentiment analysis. Knowl. Based Syst. 301: 112331 (2024)- [j5]Jiaqi Qu, Xiang Xiao, Xunbin Wei, Xiaohua Qian:
A causality-inspired generalized model for automated pancreatic cancer diagnosis. Medical Image Anal. 94: 103154 (2024) - [c5]Jiaqi Qu, Xunbin Wei, Xiaohua Qian:
Generalizable Lymph Node Metastasis Prediction in Pancreatic Cancer. MLMI@MICCAI (1) 2024: 12-21 - 2023
- [j4]Jiaqi Qu, Xunbin Wei, Xiaohua Qian:
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization. Medical Image Anal. 86: 102774 (2023) - [i1]Jiaqi Qu, Lu Wei, Qiang Sun, Hamidreza Zareipour, Zheng Qian:
Fault diagnosis for PV arrays considering dust impact based on transformed graphical feature of characteristic curves and convolutional neural network with CBAM modules. CoRR abs/2304.06493 (2023) - 2022
- [j3]Jiaqi Qu, Huaijian Luo, Changyuan Yu:
Dual-Wavelength Polarization-Dependent Bifocal Metalens for Achromatic Optical Imaging Based on Holographic Principle. Sensors 22(5): 1889 (2022) - 2021
- [c4]Qiancheng Zhao, Qun Hao, Jiaqi Qu, Zongru Yang, Yifan Liu, Changyuan Yu, Gang-Ding Peng:
Thermal Quenching Induced Luminescence Enhancement of Bismuth/Erbium Co-doped Fiber (BEDF) under 830 Pumping. OFC 2021: 1-3
2010 – 2019
- 2019
- [c3]Jiaqi Qu, Ying Shen, Wei Xu, Fengze Tan, Changyuan Yu, Cheungchuen Yu:
Non-invasive Vital Signs Monitoring Based on Polarization Maintaining Fiber and Sagnac Interferometer. OECC/PSC 2019: 1-3 - 2018
- [j2]Hao Yu, Zheng Qian, Huayi Liu, Jiaqi Qu:
Circular Array of Magnetic Sensors for Current Measurement: Analysis for Error Caused by Position of Conductor. Sensors 18(2): 578 (2018) - [c2]Yu Hao, Liliang Wang, Qian Zheng, Jiaqi Qu, Jing Bo:
Dynamic Magnetic Field Generator Based on the Movement Permanent Magnet. IEEE SENSORS 2018: 1-4 - 2016
- [j1]Vijetha Vemulapalli, Jiaqi Qu, Jeonifer M. Garren, Leonardo O. Rodrigues, Michael A. Kiebish, Rangaprasad Sarangarajan, Niven R. Narain, Viatcheslav R. Akmaev:
Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data. Artif. Intell. Medicine 74: 1-8 (2016) - 2014
- [c1]Vijetha Vemulapalli, Jiaqi Qu, Leonardo O. Rodrigues, Vivek K. Vishnudas, Rangaprasad Sarangarajan, Ely Benaim, Viatcheslav R. Akmaev, Niven R. Narain:
Novel insights into disease interactions from Medicare claims data using Berg Interrogative BiologyTM Informatics Suite. AMIA 2014
Coauthor Index
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