Jiadong Zhang - researchr alias

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Viewing Publication 1 - 56 from 56

2025

2024

Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided DiagnosisQianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen. tmi, 43(5):1958-1971, May 2024. [doi]

IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound ImagesHaoyuan Chen, Yonghao Li, Jiadong Zhang, Qi Xu, Meiyu Li, Zhenhui Li, Xuejun Qian, Dinggang Shen. mlmi-ws 2025: 22-30 [doi]

Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR ImagesXibao Li, Xi Ouyang, Jiadong Zhang, Zhongxiang Ding, Yuyao Zhang, Zhong Xue, Feng Shi 0001, Dinggang Shen. tmi, 43(12):4483-4495, December 2024. [doi]

Complex-Valued 2D-3D Hybrid Convolutional Neural Network with Attention Mechanism for PolSAR Image ClassificationWenmei Li, Hao Xia, Jiadong Zhang, Yu Wang 0078, Yan Jia 0004, Yuhong He. remotesensing, 16(16):2908, August 2024. [doi]

Cross-Scene Building Identification Based on Dual-Stream Neural Network and Efficient Channel Attention MechanismWenmei Li, Jiadong Zhang, Hao Xia, Qing Liu, Yu Wang 0078, Yan Jia 0004, Yixiang Chen. staeors, 17:6920-6932, 2024. [doi]

Multi-Feature Fusion Based Radar Seeker Against Corner Reflector InterferenceTianxiang Tang, Linmao Qiu, Chen Li, Jiadong Zhang. icmlca 2024: 566-570 [doi]

Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapyLin Teng, Bin Wang, Xuanang Xu, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen. mia, 92:103045, February 2024. [doi]

SeqESR-GAN-Based Sparse Data Augmentation for Distribution NetworksTao Xu, Jiadong Zhang, He Meng, Lutong Liu, Kaiqi Wang, Ji Qiao, Zixuan Zhao, Hong Zhu, Wendi Wang. tii, 20(11):12913-12923, November 2024. [doi]

LEO satellites selection-based computation offloading algorithm in aircraft-satellite multi-access edge computing networksJiadong Zhang, Ruidong Zhang, Wenxiao Shi. comcom, 223:115-127, 2024. [doi]

Utility optimization for computation offloading and splitting in time-varying HAP and LEO satellite integrated MEC networksRuidong Zhang, Jiadong Zhang, Xue Wang, Wenxiao Shi. cn, 255:110866, 2024. [doi]

Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT ImagesJiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao 0010, Dinggang Shen. tnn, 35(10):13258-13270, October 2024. [doi]

2023

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape StrengtheningJiyuan Liu 0008, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He 0001, Dinggang Shen, Zhong Xue. isbi 2023: 1-4 [doi]

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRIShanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen. mlmi-ws 2024: 157-165 [doi]

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRIXibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi 0001, Dinggang Shen. isbi 2023: 1-4 [doi]

A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer ClassificationYonghao Li, Yiqing Shen 0003, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen. tmi, 42(12):3907-3918, December 2023. [doi]

Tropical forest AGB estimation based on structure parameters extracted by TomoSARWenmei Li, Yu Zhang, Jiadong Zhang, Huaihuai Chen, Erxue Chen, Lei Zhao 0004, Dan Zhao. aeog, 121:103369, 2023. [doi]

Multi-view Vertebra Localization and Identification from CT ImagesHan Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang 0002, Zhiming Cui, Dinggang Shen. miccai 2023: 136-145 [doi]

Jump Over Block (JOB): An Efficient Line-of-Sight Checker for Grid/Voxel Maps With Sparse ObstaclesZhuo Yao, Wei Wang 0221, Jiadong Zhang, Yan Wang, Jinjiang Li. ral, 8(11):7575-7582, November 2023. [doi]

Partial offloading in device-to-device-assisted MEC network: A utility optimization approachRuidong Zhang, Jiadong Zhang, Wenxiao Shi. comcom, 209:26-37, September 2023. [doi]

Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised LearningJiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen. tmi, 42(12):3944-3955, December 2023. [doi]

MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor SegmentationJiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen. miccai 2023: 94-104 [doi]

VP-SOM: View-Planning Method for Indoor Active Sparse Object Mapping Based on Information Abundance and Observation ContinuityJiadong Zhang, Wei Wang. sensors, 23(23):9415, December 2023. [doi]

Multi-label learning with Relief-based label-specific feature selectionJiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu. apin, 53(15):18517-18530, August 2023. [doi]

2022

Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series PredictionShoubo Feng, Min Han, Jiadong Zhang, Tie Qiu 0001, Weijie Ren. tcyb, 52(6):4115-4125, 2022. [doi]

SO-SLAM: Semantic Object SLAM With Scale Proportional and Symmetrical Texture ConstraintsZiwei Liao, Yutong Hu, Jiadong Zhang, Xianyu Qi, Xiaoyu Zhang, Wei Wang 0221. ral, 7(2):4008-4015, 2022. [doi]

CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month InfantsXin Tang, Jiadong Zhang, Yongsheng Pan, Yuyao Zhang, Feng Shi 0001. miccai 2022: 83-91 [doi]

Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent ConstraintsJiadong Zhang, Zhiming Cui, Caiwen Jiang, Jingyang Zhang, Fei Gao, Dinggang Shen. miccai 2022: 758-767 [doi]

Pedestrian detection and tracking based on 2D Lidar and RGB-D cameraZhe Zhao, Xianyu Qi, Yufei Zhao, Jiadong Zhang, Wei Wang 0221, Xiangdong Yang. ccris 2022: 7-14 [doi]

2021

Queec: QoE-aware Edge Computing for IoT Devices under Dynamic WorkloadsBorui Li, Wei Dong 0001, Gaoyang Guan, Jiadong Zhang, Tao Gu, Jiajun Bu, Yi Gao. tosn, 17(3), 2021. [doi]

An LED Detection and Recognition Method Based on Deep Learning in Vehicle Optical Camera CommunicationXu Sun, Wenxiao Shi, Qing Cheng, Wei Liu 0089, Zhuo Wang, Jiadong Zhang. access, 9:80897-80905, 2021. [doi]

Deep Reinforcement Learning for Offloading and Shunting in Hybrid Edge Computing NetworkJiadong Zhang, Wenxiao Shi, Ruidong Zhang, Sicheng Liu. icc 2021: 1-6 [doi]

Computation Offloading and Shunting Scheme in Wireless Wireline InternetworkJiadong Zhang, Wenxiao Shi, Ruidong Zhang, Wei Liu 0089. tcom, 69(10):6808-6821, 2021. [doi]

Limited-View Photoacoustic Imaging Reconstruction With Dual Domain Inputs Based On Mutual InforamtionJiadong Zhang, Hengrong Lan, Changchun Yang, Tengbo Lyu, Shangshan Guo, Feng Gao, Fei Gao. isbi 2021: 1522-1526 [doi]

2020

2019

2016

A Multi-agent Based Load Balancing Framework in Cloud EnvironmentJiadong Zhang, Qiongxin Liu, Jiayu Chen. iscid 2016: 278-281 [doi]

An Advanced Load Balancing Strategy for Cloud EnvironmentJiadong Zhang, Qiongxin Liu, Jiayu Chen. pdcat 2016: 240-243 [doi]

2014

2013

Aggregating and Sampling Methods for Processing GPS Data Streams for Traffic State EstimationJiadong Zhang, Jin Xu, Stephen Shaoyi Liao. tits, 14(4):1629-1641, 2013. [doi]

2010

Constructing summarizations for V2V traffic data based on sampling methodsJiadong Zhang, Jin Xu, Chen Zhu, Wei Wang, Stephen Shaoyi Liao. vnc 2010: 139-143 [doi]

2009

Augmenting learning function to Bayesian network inferences with maximum likelihood parametersWeiyi Liu, Kun Yue, Jiadong Zhang. eswa, 36(2):3497-3504, 2009. [doi]

2008

Learning and Inferences of the Bayesian Network with Maximum Likelihood ParametersJiadong Zhang, Kun Yue, Weiyi Liu. adma 2008: 391-399 [doi]

Learning-Function-Augmented Inferences of Causalities Implied in Health DataJiadong Zhang, Kun Yue, Weiyi Liu. apweb 2008: 87-98 [doi]

2006

Forecasting Electricity Demand by Hybrid Machine Learning ModelShu Fan, Chengxiong Mao, Jiadong Zhang, Luonan Chen. iconip 2006: 952-963 [doi]

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