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Juanjuan Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Juanjuan Zhao 0001
— Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China - Juanjuan Zhao 0002
— Taiyuan University of Technology, Taiyuan, China - Juanjuan Zhao 0003
— Capital Normal University, Beijing, China - Juanjuan Zhao 0004
— Peking Union Medical College, Tianjin, China - Juanjuan Zhao 0005
— Taiyuan University of Technology, Taiyuan, China
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2020 – today
- 2025
[j43]Zehao Qiao
, Maojun Wang, Xuexia Zhang, Juanjuan Zhao, Xiaojie Zhang, Tao Liu, Guangzhong Cao:
Validated visual features of Multi-Perspective imagery with Explainable Machine learning for detecting rural vacant courtyards in North China. Int. J. Appl. Earth Obs. Geoinformation 141: 104644 (2025)
[j42]Wanting Yang, Jie Yuan, Juanjuan Zhao, Wei Wu, Yan Qiang:
A2ST-GCM: An adaptive spatio-temporal aware graph convolutional model for predicting pathological complete response in neoadjuvant therapy. Biomed. Signal Process. Control. 99: 106800 (2025)
[j41]Qing Li, Tao Wang, Runrui Li, Yan Qiang, Bin Zhang, Jijie Sun, Juanjuan Zhao, Wei Wu:
TLIR: Two-layer iterative refinement model for limited-angle CT reconstruction. Biomed. Signal Process. Control. 100: 107058 (2025)
[j40]Yu Miao, Sijie Song, Lin Zhao, Jun Zhao, Yingsen Wang, Ran Gong, Yan Qiang, Hua Zhang, Juanjuan Zhao:
A segmentation-based hierarchical feature interaction attention model for gene mutation status identification in colorectal cancer. Comput. Medical Imaging Graph. 125: 102646 (2025)
[j39]Sanyan Zhang
, Surong Chu, Yan Qiang, Juanjuan Zhao, Yan Wang, Xiao Wei:
Combating Medical Label Noise through more precise partition-correction and progressive hard-enhanced learning. Comput. Methods Programs Biomed. 265: 108734 (2025)
[j38]Xueting Ren, Zijuan Zhao, Liye Jia, Juanjuan Zhao, Baoping Jia, Yan Qiang, Huilan Zhao, Huajie Yue:
Conditional Time Series Modeling for Pneumoconiosis Progression Risk Prediction with Missing Data. Cogn. Comput. 17(2): 70 (2025)
[j37]Jun Zhao, Kaixuan Yu, Yu Miao, Yingsen Wang, Yue Ma, Jiawei Zhang, Juanjuan Zhao, Yan Qiang, Bo Pei:
Frequency domain nuances guided parallel transformer model for industrial anomaly localization. Eng. Appl. Artif. Intell. 142: 109852 (2025)
[j36]Aoyu Li, Chen Xue, Ruixuan Wu, Wei Wu, Juanjuan Zhao, Yan Qiang:
Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment. Int. J. Hum. Comput. Interact. 41(4): 2579-2599 (2025)
[j35]Yishan Hu, Jun Zhao, Chen Qi, Yan Qiang, Juanjuan Zhao, Bo Pei:
VC-Mamba: Causal Mamba representation consistency for video implicit understanding. Knowl. Based Syst. 317: 113437 (2025)
[j34]Haohan Ou, Baoping Jia, Yishan Hu, Meiling Cai, Yan Qiang, Qi Chen, Bo Pei, Juanjuan Zhao:
Cadmamba: a differential feature fusion-based neural network for coronary artery disease screening from facial videos. Signal Image Video Process. 19(6): 448 (2025)
[j33]Fang Zheng, Juanjuan Zhao, Yuanchen Gao, Yafeng Li, Yaheng Li, Yan Geng, Yan Qiang, Yifang Zheng:
An interpretable two-branch network based on an prototype to promote group gene biomarkers discovery. J. Supercomput. 81(9): 1081 (2025)
[c19]Fang Zheng, Juanjuan Zhao, Yan Qiang, Zihang Yuan, Yafeng Li, Yaheng Li, Yan Geng, Yifang Zheng, Yuanchen Gao:
DTI Prediction Based on Lightweight MoE. ICIC (25) 2025: 342-354
[c18]Guanghui Song, Ye Hong, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Incremental Tucker Decomposition for Scalable and Efficient Multilingual Speech Recognition. IJCNN 2025: 1-8- 2024
[j32]Wenbo Xue, Yong Gao, Xueting Ren, Jingying Cui, Juanjuan Zhao, Yan Qiang, Yangyang Wei, Ying Qiao:
WIDINet: A diagnostic model for staging pneumoconiosis based on data expansion and KL entropy judgement. Biomed. Signal Process. Control. 90: 105741 (2024)
[j31]Chen Xue, Aoyu Li
, Ruixuan Wu, Jiali Chai, Yan Qiang, Juanjuan Zhao, Qianqian Yang:
VRNPT: A Neuropsychological Test Tool for Diagnosing Mild Cognitive Impairment Using Virtual Reality and EEG Signals. Int. J. Hum. Comput. Interact. 40(20): 6268-6286 (2024)
[j30]Aoyu Li
, Jingwen Li, Wei Wu, Juanjuan Zhao, Yan Qiang:
Effect of Virtual Reality Training on Cognitive Function and Motor Performance in Older Adults With Cognitive Impairment Receiving Health Care: A Randomized Controlled Trial. Int. J. Hum. Comput. Interact. 40(22): 7755-7772 (2024)
[j29]Yubin Cheng
, Qing Li, Runrui Li
, Tao Wang, Juanjuan Zhao, Yan Qiang
, Zia ur Rehman
, Long Wang, Yan Geng:
LIR-Net:Learnable Iterative Reconstruction Network for Fan Beam CT Sparse-View Reconstruction. IEEE Trans. Computational Imaging 10: 181-195 (2024)
[c17]Xiaoying Liu, Juanjuan Zhao, Xitong Gao, Kejiang Ye:
RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data. IEEE Big Data 2024: 1536-1545
[c16]Ye Hong, Guanghui Song, Xitong Gao, Tianhui Meng, Juanjuan Zhao, Kejiang Ye:
Improving Multilingual Speech Recognition with Tucker-Compressed Mixture of LoRAs. ICONIP (3) 2024: 36-50
[c15]Xiangyu Pang, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Tackling Periodic Distribution Shifts in Federated Learning with Half-Cycle Knowledge Distillation. ICONIP (2) 2024: 306-321- 2023
[j28]Jiali Chai
, Ruixuan Wu, Aoyu Li, Chen Xue, Yan Qiang, Juanjuan Zhao, Qinghua Zhao, Qianqian Yang:
Classification of mild cognitive impairment based on handwriting dynamics and qEEG. Comput. Biol. Medicine 152: 106418 (2023)
[j27]Wanting Yang, Wei Wu, Long Wang, Shuming Zhang, Juanjuan Zhao, Yan Qiang:
PMSG-Net: A priori-guided multilevel graph transformer fusion network for immunotherapy efficacy prediction. Comput. Biol. Medicine 164: 107371 (2023)
[j26]Qing Li, Runrui Li, Tao Wang, Yubin Cheng, Yan Qiang, Wei Wu, Juanjuan Zhao, Dongxu Zhang:
A cascade-based dual-domain data correction network for sparse view CT image reconstruction. Comput. Biol. Medicine 165: 107345 (2023)
[j25]Liye Jia, Wei Wu, Guojie Hou, Juanjuan Zhao, Yan Qiang, Yanan Zhang, Meiling Cai:
Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer. Multim. Tools Appl. 82(21): 33443-33463 (2023)
[c14]Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
A Survey on Cross-Domain Few-Shot Image Classification. BigData 2023: 3-17
[c13]Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification. ICANN (1) 2023: 183-194
[c12]Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. ICTAI 2023: 586-594- 2022
[j24]Saize Li, Qing Li, Runrui Li, Wei Wu, Juanjuan Zhao, Yan Qiang, Yuling Tian:
An adaptive self-guided wavelet convolutional neural network with compound loss for low-dose CT denoising. Biomed. Signal Process. Control. 75: 103543 (2022)
[j23]Runrui Li
, Qing Li, Hexi Wang
, Saize Li, Juanjuan Zhao, Yan Qiang
, Long Wang:
DDPTransformer: Dual-Domain With Parallel Transformer Network for Sparse View CT Image Reconstruction. IEEE Trans. Computational Imaging 8: 1101-1116 (2022)
[c11]Xianghuan He, Xitong Gao
, Juanjuan Zhao, Chengxi Gao, Kejiang Ye:
Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM. CLOUD 2022: 39-53
[c10]Shisheng Deng, Dongping Liao, Xitong Gao
, Juanjuan Zhao, Kejiang Ye:
Improving Few-Shot Image Classification with Self-supervised Learning. CLOUD 2022: 54-68- 2021
[j22]Xiaojiao Xiao, Yan Qiang, Juanjuan Zhao, Xingyu Yang, Xiaotang Yang:
Segmentation of Liver Lesions Without Contrast Agents With Radiomics-Guided Densely UNet-Nested GAN. IEEE Access 9: 2864-2878 (2021)
[j21]Wenkai Yang, Yunyun Dong, Qianqian Du, Yan Qiang, Kun Wu, Juanjuan Zhao, Xiaotang Yang, Muhammad Bilal Zia:
Integrate domain knowledge in training multi-task cascade deep learning model for benign-malignant thyroid nodule classification on ultrasound images. Eng. Appl. Artif. Intell. 98: 104064 (2021)
[j20]Huijun Zhang
, Junjie Chen, Yan Qiang, Juanjuan Zhao, Jiangyang Xu, Xiaobo Fan, Yemin Yang, Xiaolong Zhang
:
DART: a visual analytics system for understanding dynamic association rule mining. Vis. Comput. 37(2): 341-357 (2021)
[c9]Yutian Huang, Juanjuan Zhao, Yan Qiang, Tengxuan Hou, Xiaoling Ren, Huanwu Sun:
The Reform and Exploration of Intelligent PYTHON Language Teaching. ICCSE 2021: 883-888
[c8]Ning Xiao
, Shichao Luo, Yan Qiang, Juanjuan Zhao, Jianhong Lian:
DPACN: Dual Prior-Guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence. PRCV (3) 2021: 560-569- 2020
[j19]Jiawen Wang, Yanfen Cui, Guohua Shi, Juanjuan Zhao, Xiaotang Yang, Yan Qiang, Qianqian Du, Yue Ma, Ntikurako Guy-Fernand Kazihise:
Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI. Appl. Intell. 50(8): 2352-2369 (2020)
[j18]Guohua Shi, Jiawen Wang, Yan Qiang, Xiaotang Yang, Juanjuan Zhao, Rui Hao, Wenkai Yang, Qianqian Du, Ntikurako Guy-Fernand Kazihise:
Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification. Comput. Methods Programs Biomed. 196: 105611 (2020)
[j17]Penghua Xie
, Ming Lv, Juanjuan Zhao:
An improved energy-low clustering hierarchy protocol based on ensemble algorithm. Concurr. Comput. Pract. Exp. 32(7) (2020)
[j16]Ning Xiao
, Yan Qiang, Zijuan Zhao, Juanjuan Zhao, Jianhong Lian:
Tumour growth prediction of follow-up lung cancer via conditional recurrent variational autoencoder. IET Image Process. 14(15): 3975-3981 (2020)
2010 – 2019
- 2019
[j15]Yunyun Dong, Wenkai Yang, Jiawen Wang, Juanjuan Zhao, Yan Qiang, Zijuan Zhao, Ntikurako Guy-Fernand Kazihise, Yanfen Cui, Xiaotong Yang, Siyuan Liu:
MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data. BMC Bioinform. 20(1): 578:1-578:14 (2019)
[j14]Zhiyong Zhang, Jialing Yang, Juanjuan Zhao:
An automatic detection model of pulmonary nodules based on deep belief network. Int. J. Wirel. Mob. Comput. 16(1): 7-13 (2019)
[j13]Xiao Wang, Huiming Gao, Juanjuan Zhao, Sanhu Wang:
Mobile health framework based on adaptive feature selection of deep convolutional neural network and QoS optimisation for benign-malignant lung nodule classification. Int. J. Wirel. Mob. Comput. 17(3): 307-315 (2019)
[j12]Xiaojiao Xiao, Zilin Qiang, Juanjuan Zhao, Yan Qiang, Pan Wang
, Peng Han:
A feature extraction method for lung nodules based on a multichannel principal component analysis network (PCANet). Multim. Tools Appl. 78(13): 17317-17335 (2019)
[c7]Wenkai Yang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Yunyun Dong, Qianqian Du, Guohua Shi, Muhammad Bilal Zia:
DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification. MICCAI (4) 2019: 558-566- 2018
[j11]Juanjuan Zhao, Wei Qiang, Guo-hua Ji, Xiang-fei Zhou:
3D reconstruction of pulmonary nodules in PET-CT image sequences based on a novel 3D region growing method combined with ACO. Int. J. Bio Inspired Comput. 11(1): 54-59 (2018)
[j10]Rui Hao, Zilin Qiang, Yan Qiang, Lei Ge, Juanjuan Zhao:
Automatic diagnosis of pulmonary nodules using a hierarchical extreme learning machine model. Int. J. Bio Inspired Comput. 11(3): 192-201 (2018)- 2017
[j9]Juanjuan Zhao, Ling Pan, Pengfei Zhao, Xiao-Xian Tang:
Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing. J. Comput. Sci. Technol. 32(3): 457-469 (2017)
[j8]Xiaolei Liao, Juanjuan Zhao:
基于改进自生成神经网络的肺部CT序列图像分割 (Segmentation of Lung CT Image Sequences Based on Improved Self-generating Neural Networks). 计算机科学 44(8): 296-300 (2017)- 2016
[j7]Juanjuan Zhao, Guo-hua Ji, XiaoHong Han, Yan Qiang, Xiaolei Liao:
An automated pulmonary parenchyma segmentation method based on an improved region growing algorithmin PET-CT imaging. Frontiers Comput. Sci. 10(1): 189-200 (2016)
[j6]Xiaomin Chang, Juanjuan Zhao, Lei Ge, Yan Qiang, Yaohua Shi:
基于哈希编码的无线多媒体传感网络森林火灾图像识别算法 (Forest Fire Image Recognition Algorithm Based on Wireless Multimedia Sensor Network of Hash Coding). 计算机科学 43(5): 313-317 (2016)
[c6]Xiaojiao Xiao, Yan Qiang, Juanjuan Zhao, Pengfei Zhao:
A Deep Learning Model of Automatic Detection of Pulmonary Nodules Based on Convolution Neural Networks (CNNs). BIC-TA (1) 2016: 349-361- 2015
[j5]Juanjuan Zhao, Guo-hua Ji, Yong Xia, Xiaolong Zhang
:
Cavitary nodule segmentation in computed tomography images based on self-generating neural networks and particle swarm optimisation. Int. J. Bio Inspired Comput. 7(1): 62-67 (2015)
[j4]Yongxing Liu, Juanjuan Zhao, Xiaomin Chang:
基于数据融合的无线传感器网络林火监控算法 (Forest Fire Monitoring Algorithm Based on Wireless Sensor Network Data Fusion). 计算机科学 42(11): 158-163 (2015)- 2014
[j3]Yan Qiang, Bo Pei, Weili Wu, Juanjuan Zhao, Xiaolong Zhang
, Yue Li, Lidong Wu:
Improvement of path analysis algorithm in social networks based on HBase. J. Comb. Optim. 28(3): 588-599 (2014)
[j2]Juanjuan Zhao, Weili Wu, Xiaolong Zhang
, Yan Qiang, Tao Liu, Lidong Wu:
A short-term trend prediction model of topic over Sina Weibo dataset. J. Comb. Optim. 28(3): 613-625 (2014)
[j1]Yan Qiang, Bo Pei, Juanjuan Zhao:
Forest Fire Image Intelligent Recognition based on the Neural Network. J. Multim. 9(3): 449-455 (2014)
[c5]Yan Qiang, Xiaomin Chang, Juanjuan Zhao, Xiaolong Zhang
, Xiaofei Yan:
A New Energy Reduction Method Based on Fire Probability Threshold Switch for WSN. MSN 2014: 30-37
[c4]Juanjuan Zhao, Yongxing Liu, Yongqiang Cheng, Yan Qiang, Xiaolong Zhang
:
Multisensor Data Fusion for Wildfire Warning. MSN 2014: 46-53- 2013
[c3]Juanjuan Zhao, Weili Wu, Xiaolong Zhang
, Yan Qiang, Tao Liu, Lidong Wu:
A Short-Term Prediction Model of Topic Popularity on Microblogs. COCOON 2013: 759-769
[c2]Yan Qiang, Junzuo Lu, Weili Wu, Juanjuan Zhao, Xiaolong Zhang
, Yue Li, Lidong Wu:
Social Network Path Analysis Based on HBase. COCOON 2013: 770-779
2000 – 2009
- 2008
[c1]Juanjuan Zhao, Junjie Chen:
The Research on User Modeling for Personalized Affective Computing. CSSE (1) 2008: 459-462
Coauthor Index

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last updated on 2025-12-28 00:26 CET by the dblp team
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