Jiadong Zhang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
uBrainSurf: Unified Curvature-Aware Deformation Framework for Lifespan Brain Cortical Surface Reconstruction.
IEEE Trans. Medical Imaging, June, 2026
Pancreas Segmentation With Multi-Phase Feature Aggregation and Modality Adaptive Transformer.
IEEE J. Biomed. Health Informatics, May, 2026
An Alignment and Imputation Network (AINet) for Breast Cancer Diagnosis With Multimodal Multi-View Ultrasound Images.
IEEE Trans. Medical Imaging, April, 2026
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data.
IEEE Trans. Biomed. Eng., March, 2026
HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis.
CoRR, March, 2026
Robot observation trajectory optimization for active object SLAM with ellipsoid model and camera field of view.
Vis. Comput., January, 2026
HCRT: Hybrid network with correlation-aware region transformer for breast tumor segmentation in DCE-MRI.
Pattern Recognit., 2026
Large language model enabled DRL for trajectory optimization and resource allocation in UAV-assisted emergency communication networks.
Phys. Commun., 2026
TopoFarm: A Topology-Annotated Panoptic Dataset for Unauthorized Farmland Excavation Scene Representation.
ISPRS Int. J. Geo Inf., 2026
2025
Hardware Architecture Design for Iterative Reconstruction Algorithms Toward Palm-Size Photoacoustic Tomography.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2025
MeteorPred: A Meteorological Multimodal Large Model and Dataset for Severe Weather Event Prediction.
CoRR, August, 2025
IEEE Trans. Medical Imaging, January, 2025
Innovative Applications of Multimodal Sensing Technology in Sports Rehabilitation Assessment and Training.
Scalable Comput. Pract. Exp., 2025
Joint Task Offloading and Resource Allocation in AAV-Assisted MEC Networks for Disaster Rescue: A Large AI Model Enabled DRL Approach.
IEEE Internet Things J., 2025
Int. J. Approx. Reason., 2025
Shp2gml: semantic 3D model generation for Ming and Qing historical buildings at multiple LoDs using domain knowledge and multi-source data.
Int. J. Digit. Earth, 2025
Development of a Multifunctional Modular Flexible Rehabilitation Exoskeleton Based on a Retractor Module.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025
Joint Task Offloading and Resource Allocation in RSMA-based UAV-assisted MEC Networks for Disaster Rescue.
Proceedings of the 2025 IEEE Global Communications Conference, 2025
2024
Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images.
IEEE Trans. Medical Imaging, December, 2024
IEEE Trans. Ind. Informatics, November, 2024
Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Complex-Valued 2D-3D Hybrid Convolutional Neural Network with Attention Mechanism for PolSAR Image Classification.
Remote. Sens., August, 2024
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.
IEEE Trans. Medical Imaging, May, 2024
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy.
Medical Image Anal., February, 2024
Cross-Scene Building Identification Based on Dual-Stream Neural Network and Efficient Channel Attention Mechanism.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
LEO satellites selection-based computation offloading algorithm in aircraft-satellite multi-access edge computing networks.
Comput. Commun., 2024
Utility optimization for computation offloading and splitting in time-varying HAP and LEO satellite integrated MEC networks.
Comput. Networks, 2024
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024
2023
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning.
IEEE Trans. Medical Imaging, December, 2023
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification.
IEEE Trans. Medical Imaging, December, 2023
VP-SOM: View-Planning Method for Indoor Active Sparse Object Mapping Based on Information Abundance and Observation Continuity.
Sensors, December, 2023
Jump Over Block (JOB): An Efficient Line-of-Sight Checker for Grid/Voxel Maps With Sparse Obstacles.
IEEE Robotics Autom. Lett., November, 2023
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
Patterns, September, 2023
Partial offloading in device-to-device-assisted MEC network: A utility optimization approach.
Comput. Commun., September, 2023
Appl. Intell., August, 2023
Int. J. Appl. Earth Obs. Geoinformation, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation.
Proceedings of the Cancer Prevention Through Early Detection, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction.
IEEE Trans. Cybern., 2022
SO-SLAM: Semantic Object SLAM With Scale Proportional and Symmetrical Texture Constraints.
IEEE Robotics Autom. Lett., 2022
Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Proceedings of the CCRIS 2022: 3rd International Conference on Control, Robotics and Intelligent System, Virtual Event, China, August 26, 2022
2021
ACM Trans. Sens. Networks, 2021
IEEE Trans. Commun., 2021
An LED Detection and Recognition Method Based on Deep Learning in Vehicle Optical Camera Communication.
IEEE Access, 2021
Limited-View Photoacoustic Imaging Reconstruction With Dual Domain Inputs Based On Mutual Inforamtion.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Deep Reinforcement Learning for Offloading and Shunting in Hybrid Edge Computing Network.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
2020
ACM Trans. Sens. Networks, 2020
Resource Allocation for Hybrid RF/FSO Multi-Channel Multi-Radio Wireless Mesh Networks.
IEEE Access, 2020
LinkLab: A Scalable and Heterogeneous Testbed for Remotely Developing and Experimenting IoT Applications.
Proceedings of the Fifth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2020
2019
IEEE Commun. Lett., 2019
An Area-based Offloading Policy for Computing Offloading in MEC-assisted Wireless Mesh Network.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
An Auction Scheme for Computing Resource Allocation in D2D-Assisted Mobile Edge Computing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Queec: QoE-aware edge computing for complex IoT event processing under dynamic workloads.
Proceedings of the ACM Turing Celebration Conference - China, 2019
2016
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016
2014
A novel method for combining Bayesian networks, theoretical analysis, and its applications.
Pattern Recognit., 2014
Decis. Support Syst., 2014
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014
2013
Aggregating and Sampling Methods for Processing GPS Data Streams for Traffic State Estimation.
IEEE Trans. Intell. Transp. Syst., 2013
2010
Proceedings of the Second IEEE Vehicular Networking Conference, 2010
2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006