ICIC (3)

Keyphrases

Publications

2023

Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Explainable Stuttering Recognition Using Axial Attention. ICIC (3) (2023)
Peixuan Lin, Likun Jiang, Fatma S. Ahmed, Xinru Ruan, Xiangrong Liu, Juan Liu
MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein Interactions. ICIC (3) (2023)
Yuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang
RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph. ICIC (3) (2023)
Runhua Zhang, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu
Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of Protein. ICIC (3) (2023)
Chunxiao Zhang, Pengpai Li, Duanchen Sun, Zhi-Ping Liu
MOFNet: A Deep Learning Framework of Integrating Multi-omics Data for Breast Cancer Diagnosis. ICIC (3) (2023)
Ruiguo Yu, Pan Sun, Xuewei Li, Ruixuan Zhang, Zhiqiang Liu, Jie Gao
A Prior-Guided Generative Adversarial Net for Semantically Strict Ultrasound Images Augmentation. ICIC (3) (2023)
Weinian Cao, Shengxiang Rao, Lijun Luo, Huijuan Zhang, Changqing Yin
PEA-U-Net: Parallel Embedded Attention for Liver and Tumor Segmentation in CT Volumes. ICIC (3) (2023)
Jiahao Zhang, Qingfang Meng, Zewen Wang
Seizure Prediction Based on Multidimensional EEG Spatial Matrix and Residual Network Structure. ICIC (3) (2023)
Zhihua Du, Xing Zhong, Min Fang, Jianqiang Li
GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence Data. ICIC (3) (2023)
Binhua Tang, Jiafei Nie
An Improved Variational Autoencoder-Based Clustering Method for Pan-Cancer Diagnosis and Subtyping. ICIC (3) (2023)
Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu
DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. ICIC (3) (2023)
Dengkang Qin, Mengxue Liu, Zheng Chen, Qian Lei
Optimizing Cardiac Surgery Risk Prediction: An Machine Learning Approach with Counterfactual Explanations. ICIC (3) (2023)
Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network. ICIC (3) (2023)
Lin Wang, Zhengzhong Wang, Quanrun Song, Changtong Ding, Xiaoning Li, Xiangwei Zhang, Shichao Geng
Patient Mortality Prediction Based on Two-Layer Attention Neural Network. ICIC (3) (2023)
Jianan Sui, Yuehui Chen, Yi Cao, Yaou Zhao
Accurate Identification of Submitochondrial Protein Location Based on Deep Representation Learning Feature Fusion. ICIC (3) (2023)
Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks. ICIC (3) (2023)
Xizi Wang, Jing Hu, Xiaolong Zhang
Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural Network. ICIC (3) (2023)
Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao
EEG Convolutional Sparse Transformer for Epilepsy Detection and Related Drug Classification. ICIC (3) (2023)
Dongdong Mao, Cong Shen, Ruilin Wu, Yuyang Han, Yankai Wu, Jinxuan Wang, Jijun Tang, Zhijun Liao
Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders. ICIC (3) (2023)
Zhangfan Yang, Kun Cao, Junkai Ji, Zexuan Zhu, Jianqiang Li
Adopting Autodock Koto for Virtual Screening of COVID-19. ICIC (3) (2023)
Hayat Ali Shah, Juan Liu, Zhihui Yang, Jing Feng
DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. ICIC (3) (2023)
Baichuan Zhang, Luying He, Qi Wang, Zhuo Wang, Wenzheng Bao, Honglin Cheng
Mit Protein Transformer: Identification Mitochondrial Proteins with Transformer Model. ICIC (3) (2023)
Pi-Jing Wei, Shu-Li Zhou, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng
Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping Algorithm. ICIC (3) (2023)
Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation. ICIC (3) (2023)
Pengyu Luo, Yuehan Huang, Xinyi Zhang, Lian Shen, Yuan Lin, Xiangrong Liu, Xiaoyang Huang
Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity. ICIC (3) (2023)
Zonghao Li, Jing Hu, Xiaolong Zhang
De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model. ICIC (3) (2023)
Xinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu
Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. ICIC (3) (2023)
Baozhong Zhu, Runhua Zhang, Tengsheng Jiang, Zhiming Cui, Hongjie Wu
Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model. ICIC (3) (2023)
Lin Yuan, Jinling Lai, Zhen Shen, Wendong Yu, Hongwei Wei, Ling Zhao, Zhijie Xu, Xingang Wang, Yushui Geng
An Improved Method for CFNet Identifying Glioma Cells. ICIC (3) (2023)
Lin Yuan, Jiawang Zhao, Zhen Shen, Wendong Yu, Hongwei Wei, Shengguo Sun, Xingang Wang, Yushui Geng
Identification of CircRNA-Disease Associations from the Integration of Multi-dimensional Bioinformatics with Graph Auto-encoder and Attention Fusion Model. ICIC (3) (2023)
Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu
Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder. ICIC (3) (2023)
Xiao Wang, Pengfei Li, Lijun Han, Rong Wang
A Stacking-Based Ensemble Learning Predictor Combined with Particle Swarm Optimizer for Identifying RNA Pseudouridine Sites. ICIC (3) (2023)
Xu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction. ICIC (3) (2023)
Mei Yu, Zhiyuan Xu, Jie Gao, Jian Yu, Mankun Zhao
An Unsupervised Domain Adaptive Network Based on Category Prototype Alignment for Medical Image Segmentation. ICIC (3) (2023)
Zi-Ang Fu, Xiaohua Wan, Fa Zhang
GPU Optimization of Biological Macromolecule Multi-tilt Electron Tomography Reconstruction Algorithm. ICIC (3) (2023)
Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu
An Efficient Drug Design Method Based on Drug-Target Affinity. ICIC (3) (2023)
Yuan Zhang, Zhengbo Zhang, Xiaoli Liu, Lei Zha, Fengcong, Xiaorui Su, Bowei Zhao, Lun Hu, Pengwei Hu
A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU. ICIC (3) (2023)
Fangbo Liu, Feng Yang
Medical Image Segmentation Based on Federated Distillation Optimization Learning on Non-IID Data. ICIC (3) (2023)
Mingxiang Gao, Bo Li
Molecular Identification Using Deep Learning Method. ICIC (3) (2023)
Yansen Su, Pengpeng Wang, Shuna Cui, Fei Xu, Tseren-Onolt Ishdorj
BIJE: A Joint Extraction Model for Biomedical Information Extraction. ICIC (3) (2023)
Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao
A Novel Descriptor and Molecular Graph-Based Bimodal Contrastive Learning Framework for Drug Molecular Property Prediction. ICIC (3) (2023)
Cong Shen, Xinyue Wang, Jijun Tang, Zhijun Liao
DETA-Net: A Dual Encoder Network with Text-Guided Attention Mechanism for Skin-Lesions Segmentation. ICIC (3) (2023)
Rongxing Wang, Junwei Xu, Xiaodi Huang, Wangjing Qi, Yanju Zhang
SpliceSCANNER: An Accurate and Interpretable Deep Learning-Based Method for Splice Site Prediction. ICIC (3) (2023)
Jian Liu, Long Hou, Shu-Guang Ge
Multi-omics Cancer Subtype Recognition Based on Multi-kernel Partition Aligned Subspace Clustering. ICIC (3) (2023)
Xunguang Ju, Kai Xiao, Luying He, Qi Wang, Zhuo Wang, Wenzheng Bao
Plant Vacuole Protein Classification with Ensemble Stacking Model. ICIC (3) (2023)
Ning Wang, Yizhang Jiang
An Omics-Based Metastasis Prediction Model for Osteosarcoma Patients Using Multi-scale Attention Network. ICIC (3) (2023)
Dayu Tan, Yang Yang, Minglu Wang, Pengpeng Wang, Lejun Zhang, Tseren-Onolt Ishdorj, Yansen Su
Extraction of Relationship Between Esophageal Cancer and Biomolecules Based on BioBERT. ICIC (3) (2023)
Yi-Ming Wang, Xiang-Zhen Kong, Boxin Guan, Chun-Hou Zheng, Ying-Lian Gao
Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis. ICIC (3) (2023)
Jiaxin Yang, Chuan-Yuan Wang, Duanchen Sun, Zhi-Ping Liu
Multi-objective Optimization-Based Approach for Detection of Breast Cancer Biomarkers. ICIC (3) (2023)

volume 14088, 2023

Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III ICIC (3) 14088 (2023)