Juanjuan Zhao

Orcid: 0000-0001-8134-9076

According to our database1, Juanjuan Zhao authored at least 123 papers between 2008 and 2025.

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Bibliography

2025
A2ST-GCM: An adaptive spatio-temporal aware graph convolutional model for predicting pathological complete response in neoadjuvant therapy.
Biomed. Signal Process. Control., 2025

2024
A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System.
IEEE Trans. Intell. Transp. Syst., November, 2024

VRNPT: A Neuropsychological Test Tool for Diagnosing Mild Cognitive Impairment Using Virtual Reality and EEG Signals.
Int. J. Hum. Comput. Interact., October, 2024

<i>STRmt</i>: A state transition based model for real-time crowd counting in a metro system.
Concurr. Comput. Pract. Exp., June, 2024

Two-stream vision transformer based multi-label recognition for TCM prescriptions construction.
Comput. Biol. Medicine, March, 2024

LIR-Net:Learnable Iterative Reconstruction Network for Fan Beam CT Sparse-View Reconstruction.
IEEE Trans. Computational Imaging, 2024

WIDINet: A diagnostic model for staging pneumoconiosis based on data expansion and KL entropy judgement.
Biomed. Signal Process. Control., 2024

CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer.
Artif. Intell. Medicine, 2024

FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Enhanced HMM Map Matching Model Based on Multiple Type Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GCompletor: A Graph-Based Deep Learning Method for Traffic State Imputation on Urban Road Networks.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Fine-Grained Geo-Obfuscation to Protect Workers' Location Privacy in Time-Sensitive Spatial Crowdsourcing.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
MobiCharger: Optimal Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging.
IEEE Trans. Mob. Comput., December, 2023

A cascade-based dual-domain data correction network for sparse view CT image reconstruction.
Comput. Biol. Medicine, October, 2023

A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction.
Int. J. Comput. Assist. Radiol. Surg., October, 2023

Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer.
Multim. Tools Appl., September, 2023

PMSG-Net: A priori-guided multilevel graph transformer fusion network for immunotherapy efficacy prediction.
Comput. Biol. Medicine, September, 2023

A Fast and Secured Vehicle-to-Vehicle Energy Trading Based on Blockchain Consensus in the Internet of Electric Vehicles.
IEEE Trans. Veh. Technol., June, 2023

Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling.
IEEE Trans. Big Data, June, 2023

FDTrans: Frequency Domain Transformer Model for predicting subtypes of lung cancer using multimodal data.
Comput. Biol. Medicine, May, 2023

Multi-scale dense selective network based on border modeling for lung nodule segmentation.
Int. J. Comput. Assist. Radiol. Surg., May, 2023

A segmentation-based sequence residual attention model for KRAS gene mutation status prediction in colorectal cancer.
Appl. Intell., May, 2023

MSTS-Net: malignancy evolution prediction of pulmonary nodules from longitudinal CT images via multi-task spatial-temporal self-attention network.
Int. J. Comput. Assist. Radiol. Surg., April, 2023

Attention Matching Network for few-shot learning in the syndrome differentiation of cerebral stroke.
Int. J. Mach. Learn. Cybern., March, 2023

Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data.
Neural Comput. Appl., February, 2023

Superior Fidelity and Distinct Editing Outcomes of SaCas9 Compared with SpCas9 in Genome Editing.
Genom. Proteom. Bioinform., 2023

GREPore-Seq: A Robust Workflow to Detect Changes After Gene Editing Through Long-Range PCR and Nanopore Sequencing.
Genom. Proteom. Bioinform., 2023

Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image-gene data.
Eng. Appl. Artif. Intell., 2023

APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses.
CoRR, 2023

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks.
CoRR, 2023

Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior.
Concurr. Comput. Pract. Exp., 2023

Classification of mild cognitive impairment based on handwriting dynamics and qEEG.
Comput. Biol. Medicine, 2023

PreGenerator: TCM Prescription Recommendation Model Based on Retrieval and Generation Method.
IEEE Access, 2023

Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Two-domain adaptive attention network for TCM auxiliary diagnosis with hand images.
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

A Survey on Cross-Domain Few-Shot Image Classification.
Proceedings of the Big Data - BigData 2023, 2023

2022
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data.
IEEE Trans. Intell. Transp. Syst., 2022

MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2022

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

DDPTransformer: Dual-Domain With Parallel Transformer Network for Sparse View CT Image Reconstruction.
IEEE Trans. Computational Imaging, 2022

A Federated Mixed Logit Model for Personal Mobility Service in Autonomous Transportation Systems.
Syst., 2022

Segmentation-based multi-scale attention model for KRAS mutation prediction in rectal cancer.
Int. J. Mach. Learn. Cybern., 2022

CatCharger: Deploying In-Motion Wireless Chargers in a Metropolitan Road Network via Categorization and Clustering of Vehicle Traffic.
IEEE Internet Things J., 2022

CD-Guide: A Dispatching and Charging Approach for Electric Taxicabs.
IEEE Internet Things J., 2022

Multi-level learning based on 3D CT image integrated medical clinic information for accurate diagnosis of pulmonary nodules.
Concurr. Comput. Pract. Exp., 2022

Improved heterogeneous data fusion and multi-scale feature selection method for lung cancer subtype classification.
Concurr. Comput. Pract. Exp., 2022

BAC: A block alliance consensus mechanism for the mine consortium blockchain.
Concurr. Comput. Pract. Exp., 2022

Static-Dynamic coordinated Transformer for Tumor Longitudinal Growth Prediction.
Comput. Biol. Medicine, 2022

MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data.
Int. J. Comput. Assist. Radiol. Surg., 2022

An adaptive self-guided wavelet convolutional neural network with compound loss for low-dose CT denoising.
Biomed. Signal Process. Control., 2022

Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification.
Appl. Intell., 2022

DAS-Net: A lung nodule segmentation method based on adaptive dual-branch attention and shadow mapping.
Appl. Intell., 2022

Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Ordis: A Dynamic Order-Dispatch Algorithm for Ridehailing and Ridesharing in a Large Region.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

A Fast and Secured Peer-to-Peer Energy Trading Using Blockchain Consensus.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

TrafficAdaptor: an adaptive obfuscation strategy for vehicle location privacy against traffic flow aware attacks.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM.
Proceedings of the Cloud Computing - CLOUD 2022, 2022

Improving Few-Shot Image Classification with Self-supervised Learning.
Proceedings of the Cloud Computing - CLOUD 2022, 2022

2021
DART: a visual analytics system for understanding dynamic association rule mining.
Vis. Comput., 2021

Integrate domain knowledge in training multi-task cascade deep learning model for benign-malignant thyroid nodule classification on ultrasound images.
Eng. Appl. Artif. Intell., 2021

Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction.
CoRR, 2021

Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting.
CoRR, 2021

Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales.
Concurr. Comput. Pract. Exp., 2021

Tourism Growth Prediction Based on Deep Learning Approach.
Complex., 2021

Spatial-Frequency dual-branch attention model for determining <i>KRAS</i> mutation status in colorectal cancer with T2-weighted MRI.
Comput. Methods Programs Biomed., 2021

Segmentation of Liver Lesions Without Contrast Agents With Radiomics-Guided Densely UNet-Nested GAN.
IEEE Access, 2021

DPACN: Dual Prior-Guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

The Reform and Exploration of Intelligent PYTHON Language Teaching.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020
Tumour growth prediction of follow-up lung cancer via conditional recurrent variational autoencoder.
IET Image Process., 2020

Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification.
Eng. Appl. Artif. Intell., 2020

Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction.
CoRR, 2020

An improved energy-low clustering hierarchy protocol based on ensemble algorithm.
Concurr. Comput. Pract. Exp., 2020

Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification.
Comput. Methods Programs Biomed., 2020

Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI.
Appl. Intell., 2020

Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction.
IEEE Access, 2020

Reinforcement Learning based Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

CD-Guide: A Reinforcement Learning based Dispatching and Charging Approach for Electric Taxicabs.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

MobiCharger: Optimal Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems.
Proceedings of the Big Data - BigData 2020, 2020

2019
A feature extraction method for lung nodules based on a multichannel principal component analysis network (PCANet).
Multim. Tools Appl., 2019

An automatic detection model of pulmonary nodules based on deep belief network.
Int. J. Wirel. Mob. Comput., 2019

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., 2019

MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data.
BMC Bioinform., 2019

DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Employing Opportunistic Charging for Electric Taxicabs to Reduce Idle Time.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

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., 2018

Automatic diagnosis of pulmonary nodules using a hierarchical extreme learning machine model.
Int. J. Bio Inspired Comput., 2018

2017
Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems.
IEEE Trans. Intell. Transp. Syst., 2017

Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data.
IEEE Trans. Intell. Transp. Syst., 2017

Last-Mile Transit Service with Urban Infrastructure Data.
ACM Trans. Cyber Phys. Syst., 2017

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, 2017

Medical Sign Recognition of Lung Nodules Based on Image Retrieval with Semantic Features and Supervised Hashing.
J. Comput. Sci. Technol., 2017

CatCharger: Deploying wireless charging lanes in a metropolitan road network through categorization and clustering of vehicle traffic.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016
Spatiotemporal Segmentation of Metro Trips Using Smart Card Data.
IEEE Trans. Veh. Technol., 2016

Heterogeneous Model Integration for Multi-Source Urban Infrastructure Data.
ACM Trans. Cyber Phys. Syst., 2016

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, 2016

An automated pulmonary parenchyma segmentation method based on an improved region growing algorithmin PET-CT imaging.
Frontiers Comput. Sci., 2016

CatCharge: Deploying wireless charging lane in metropolitan scale through categorization and clustering of vehicle mobility.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

A Deep Learning Model of Automatic Detection of Pulmonary Nodules Based on Convolution Neural Networks (CNNs).
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
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, 2015

Cavitary nodule segmentation in computed tomography images based on self-generating neural networks and particle swarm optimisation.
Int. J. Bio Inspired Comput., 2015

Feeder: supporting last-mile transit with extreme-scale urban infrastructure data.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

UrbanCPS: a cyber-physical system based on multi-source big infrastructure data for heterogeneous model integration.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

coMobile: real-time human mobility modeling at urban scale using multi-view learning.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014
Forest Fire Image Intelligent Recognition based on the Neural Network.
J. Multim., 2014

A short-term trend prediction model of topic over Sina Weibo dataset.
J. Comb. Optim., 2014

Improvement of path analysis algorithm in social networks based on HBase.
J. Comb. Optim., 2014

Multisensor Data Fusion for Wildfire Warning.
Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014

A New Energy Reduction Method Based on Fire Probability Threshold Switch for WSN.
Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014

Understanding temporal and spatial travel patterns of individual passengers by mining smart card data.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
A Short-Term Prediction Model of Topic Popularity on Microblogs.
Proceedings of the Computing and Combinatorics, 19th International Conference, 2013

Social Network Path Analysis Based on HBase.
Proceedings of the Computing and Combinatorics, 19th International Conference, 2013

A characterization of big data benchmarks.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2008
The Research on User Modeling for Personalized Affective Computing.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008


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