Jianpeng Zhang

Orcid: 0000-0002-4106-6562

According to our database1, Jianpeng Zhang authored at least 113 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.
Medical Image Anal., January, 2024

Rethinking masked image modelling for medical image representation.
Medical Image Anal., 2024

CCFTL: A novel continuity compressed page-level flash address mapping method for SSDs.
J. Parallel Distributed Comput., 2024

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model.
CoRR, 2024

Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study.
CoRR, 2024

CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios.
CoRR, 2024

Robustness of interdependent networks with weak dependency links and reinforced nodes.
Sci. China Inf. Sci., 2024

Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Football Player Injury Full-Cycle Management and Monitoring System Based on Blockchain and Machine Learning Algorithm.
Int. J. Comput. Intell. Syst., December, 2023

CRFTL: Cache Reallocation-Based Page-Level Flash Translation Layer for Smartphones.
IEEE Trans. Consumer Electron., August, 2023

Combining Multi-Source Data and Feature Optimization for Plastic-Covered Greenhouse Extraction and Mapping Using the Google Earth Engine: A Case in Central Yunnan Province, China.
Remote. Sens., July, 2023

Virtual self-adaptive bitmap for online cardinality estimation.
Inf. Syst., March, 2023

Cluster-preserving sampling algorithm for large-scale graphs.
Sci. China Inf. Sci., January, 2023

Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2023

A Composite Approach of Electromagnetic Acoustic Transducer and Eddy Current for Inner and Outer Corrosion Defects Detection.
IEEE Trans. Instrum. Meas., 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023

A comprehensive bibliometric analysis of Apache Hadoop from 2008 to 2020.
Int. J. Intell. Comput. Cybern., 2023

Temporal motif-based attentional graph convolutional network for dynamic link prediction.
Intell. Data Anal., 2023

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.
CoRR, 2023

Attention Mechanisms in Medical Image Segmentation: A Survey.
CoRR, 2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023

TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Time-varying QoS Estimation via Non-negative Latent Factorization of Tensors with Extended Linear Biases.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Linear and Nonlinear Characteristics of Long-Term NDVI Using Trend Analysis: A Case Study of Lancang-Mekong River Basin.
Remote. Sens., December, 2022

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.
IEEE Trans. Image Process., 2022

Mapping of Forest Biomass in Shangri-La City Based on LiDAR Technology and Other Remote Sensing Data.
Remote. Sens., 2022

Land Cover Classification Using ICESat-2 Photon Counting Data and Landsat 8 OLI Data: A Case Study in Yunnan Province, China.
IEEE Geosci. Remote. Sens. Lett., 2022

Cushion: A proactive resource provisioning method to mitigate SLO violations for containerized microservices.
IET Commun., 2022

ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers.
CoRR, 2022

TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier.
Proceedings of the Computer Vision - ECCV 2022, 2022

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Total Dose and Single Event Effects on 16 Mbit Standalone Spin-Transfer Torque MRAM with 45 nm CMOS Technology.
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

2021
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.
IEEE Trans. Medical Imaging, 2021

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors.
IEEE Trans. Medical Imaging, 2021

A directed link prediction method using graph convolutional network based on social ranking theory.
Intell. Data Anal., 2021

A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control.
IEEE Commun. Lett., 2021

Unified 2D and 3D Pre-training for Medical Image classification and Segmentation.
CoRR, 2021

Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation.
CoRR, 2021

Cloud Trust-Driven Hierarchical Sharing Method of Internet of Things Information Resources.
Complex., 2021

Target-free ULS-TLS point-cloud registration for alpine forest lands.
Comput. Electron. Agric., 2021

View adaptive learning for pancreas segmentation.
Biomed. Signal Process. Control., 2021

Dynamic changes of vegetation coverage in China-Myanmar economic corridor over the past 20 years.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Transfer Learning for KiTS21 Challenge.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.
IEEE Trans. Medical Imaging, 2020

Evaluation of the Sample Clustering Process on Graphs.
IEEE Trans. Knowl. Data Eng., 2020

Partial Label Metric Learning Based on Statistical Inference.
IEICE Trans. Inf. Syst., 2020

struc2gauss: Structural role preserving network embedding via Gaussian embedding.
Data Min. Knowl. Discov., 2020

PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation.
CoRR, 2020

COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection.
CoRR, 2020

Real-time detection of energy consumption of IoT network nodes based on artificial intelligence.
Comput. Commun., 2020

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Pairwise Relation Learning for Semi-supervised Gland Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Boundary-Aware Network for Kidney Tumor Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

A Max-log-MPA algorithm based on serial and threshold in SCMA system.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Attention Residual Learning for Skin Lesion Classification.
IEEE Trans. Medical Imaging, 2019

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.
IEEE Trans. Medical Imaging, 2019

Ultrasoft, Adhesive and Millimeter Scale Epidermis Electronic Sensor for Real-Time Enduringly Monitoring Skin Strain.
Sensors, 2019

Medical image classification using synergic deep learning.
Medical Image Anal., 2019

Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.
Medical Image Anal., 2019

Mechanics of tissue rupture during needle insertion in transverse isotropic soft tissue.
Medical Biol. Eng. Comput., 2019

Cluster-preserving sampling from fully-dynamic streaming graphs.
Inf. Sci., 2019

A Network Digital Teaching Mode of Basketball Based on Ecological Learning Space.
Int. J. Emerg. Technol. Learn., 2019

A Knowledge Representation Based User-Driven Ontology Summarization Method.
IEICE Trans. Inf. Syst., 2019

Super-Node Based Detection of Redundant Ontology Relations.
IEICE Trans. Inf. Syst., 2019

An attention-gated convolutional neural network for sentence classification.
Intell. Data Anal., 2019

A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification.
CoRR, 2019

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks.
CoRR, 2019

Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation.
CoRR, 2019

DHNE: Network Representation Learning Method for Dynamic Heterogeneous Networks.
IEEE Access, 2019

MHDNE: Network Embedding Based on Multivariate Hawkes Process.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Deep Segmentation-Emendation Model for Gland Instance Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Infinite motif stochastic blockmodel for role discovery in networks.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.
IEEE J. Biomed. Health Informatics, 2018

基于标签关系改进的多标签特征选择算法 (Multi-label Feature Selection Algorithm Based on Improved Label Correlation).
计算机科学, 2018

Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT.
Inf. Fusion, 2018

A Two-Layered Framework for the Discovery of Software Behavior: A Case Study.
IEICE Trans. Inf. Syst., 2018

A bounded-size clustering algorithm on fully-dynamic streaming graphs.
Intell. Data Anal., 2018

USI-AUC: An evaluation criterion of community detection based on a novel link-prediction method.
Intell. Data Anal., 2018

A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images.
CoRR, 2018

struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding.
CoRR, 2018

Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

DyNMF: Role Analytics in Dynamic Social Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Object tracking by color distribution fields with adaptive hierarchical structure.
Vis. Comput., 2017

Sensing Properties of a Novel Temperature Sensor Based on Field Assisted Thermal Emission.
Sensors, 2017

Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning.
CoRR, 2017

Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Jointly Using Deep Model Learned Features and Traditional Visual Features in a Stacked SVM for Medical Subfigure Classification.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Clustering-Structure Representative Sampling from Graph Streams.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
A robust density-based clustering algorithm for multi-manifold structure.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Person re-identification via person DPM based partition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Structural measures of clustering quality on graph samples.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Effects of Evolutionary Linguistics in Text Classification.
Proceedings of the Statistical Language and Speech Processing, 2015

2013
Upper semicontinuity of pullback attractors for a non-autonomous viscoelastic equation.
Appl. Math. Comput., 2013

Applied Research on Security of Computer Network Technology.
Proceedings of the 2013 The Second International Conference on Innovative Computing and Cloud Computing, 2013


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