Jing Wang

23 papers B 1Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Tri-Path boundary preserving network via Context-aware aggregator for multi-organ medical image segmentation.
Biomed. Signal Process. Control.
Bicao Li, Panpan Li, Zhoufeng Liu, Bei Wang, Chunlei Li, Xuwei Guo, Jing Wang, Wei Li
2025 J jnl
A novel memory interaction neural network for multi-label drug-drug interaction prediction with neighbor importance sampling.
Artif. Intell. Medicine
Jing Wang, Runzhi Li, Shuo Zhang, Yunli Xing, Siyu Yan, Lihong Ma
2025 J jnl
SECNet: Spatially enhanced channel-shuffled network with interactive contextual aggregation for medical image segmentation.
Expert Syst. Appl.
Bicao Li, Wei Li, Bei Wang, Zhoufeng Liu, Jie Huang, Jing Wang, Panpan Li, Danting Niu
2025 J jnl
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics.
CoRR
Danni Feng, Runzhi Li, Jing Wang, Siyu Yan, Lihong Ma, Yunli Xing
2024 J jnl
BMCS-Net: A Bi-directional multi-scale cascaded segmentation network based on transformer-guided feature Aggregation for medical images.
Comput. Biol. Medicine
Bicao Li, Jing Wang, Bei Wang, Zhuhong Shao, Wei Li, Jie Huang, Panpan Li
2024 J jnl
Gate Feature Interaction Network for Relation Prediction in Knowledge Graph.
Data Intell.
Jing Wang, Shuo Zhang, Runzhi Li
2024 — conf
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction of ICU patients.
BCB
Runzhi Li, Zhe Sun, Jing Wang, Gang Chen, Siyu Yan, Lihong Ma
2024 J jnl
Static and multivariate-temporal attentive fusion transformer for readmission risk prediction.
CoRR
Zhe Sun, Runzhi Li, Jing Wang, Gang Chen, Siyu Yan, Lihong Ma
2023 — conf
MCA-Net: Multi-scale Context-aware Aggregation Network for Medical Image Segmentation.
ICCPR
Panpan Li, Bicao Li, Bei Wang, Zhuhong Shao, Xuwei Guo, Jie Huang, Jing Wang
2023 J jnl
Multi-view feature representation and fusion for drug-drug interactions prediction.
BMC Bioinform.
Jing Wang, Shuo Zhang, Runzhi Li, Gang Chen, Siyu Yan, Lihong Ma
2023 — conf
PSAENet: Perceptual Scale Aggregation Enhancement Network for Retinal Vessel Segmentation.
ICCPR
Wei Li, Bicao Li, Zhoufeng Liu, Bei Wang, Xuwei Guo, Jing Wang, Panpan Li
2022 — conf
CTCNet: A Bi-directional Cascaded Segmentation Network Combining Transformers with CNNs for Skin Lesions.
PRCV (2)
Jing Wang, Bicao Li, Xuwei Guo, Jie Huang, Mengxing Song, Miaomiao Wei
2022 — conf
Chinese Drug Information Named Entity Recognition Based on MSCNN And BERT-BiLSTM-CRF.
CCRIS
Duzhuang Wang, Runzhi Li, Jing Wang, Zhanbo Li
2022 — conf
DMF-CL: Dense Multi-scale Feature Contrastive Learning for Semantic Segmentation of Remote-Sensing Images.
PRCV (4)
Mengxing Song, Bicao Li, Pingjun Wei, Zhuhong Shao, Jing Wang, Jie Huang
2022 J jnl
Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network.
IEEE J. Biomed. Health Informatics
Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li, Yuming Xu
2022 J jnl
Interpretable CNN for ischemic stroke subtype classification with active model adaptation.
BMC Medical Informatics Decis. Mak.
Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li, Yuming Xu
2022 B conf
Lisnet: A Covid-19 Lung Infection Segmentation Network Based on Edge Supervision and Multi-Scale Context Aggregation.
ICIP
Jing Wang, Bicao Li, Jie Huang, Miaomiao Wei, Mengxing Song, Zongmin Wang
2022 — conf
Research on Bidirectional Recurrent Imputation of Multivariate Time Series for Clinical Outcomes Prediction.
BIBM
Hao Gao, Runzhi Li, Jing Wang, Hongling Zhao, Siyu Yan, Lihong Ma
2021 — conf
A Multi-granularity Fusion Neural Network Model for Medical Question Classification.
CCIS
Yingpei Ma, Jing Wang, Yonghao Ren, Shuo Zhang, Runzhi Li
2021 — conf
TSC-MI: A Temporal Spatial Convolution Neural Network Fused with Mutual Information for Motor Imagery Based EEG Classification.
BI
Yonghao Ren, Shuo Zhang, Jing Wang, Runzhi Li
2020 J jnl
Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules.
Comput. Intell. Neurosci.
Jingzhe Ma, Shaobo Duan, Ye Zhang, Jing Wang, Zongmin Wang, Runzhi Li, Yongli Li, Lianzhong Zhang, Huimin Ma
2020 J jnl
MLP With Riemannian Covariance for Motor Imagery Based EEG Analysis.
IEEE Access
Pengpeng Yang, Jing Wang, Hongling Zhao, Runzhi Li
2020 J jnl
Multimodal Sleep Signals-Based Automated Sleep Arousal Detection.
IEEE Access
Guangxin Zhou, Runzhi Li, Shuo Zhang, Jing Wang, Jingzhe Ma