王如心 Ruxin Wang
博士、副研究员, 深圳市“鹏城孔雀计划”特聘岗位
理学博士，中国科学院深圳先进技术研究院副研究员，中国科学院大学硕士生导师，科技部国家重点研发计划“数学和应用研究”专项青年科学家项目首席，深圳市“鹏城孔雀计划”特聘岗位，中国工业与应用数学学会、中国运筹学学会、中国计算机学会会员、IEEE member。主要研究方向包括模式识别，机器学习，图像处理，多模态表征计算等。在IEEE TKDE/TNNLS/TCYB/TCSS/JBHI, Medical Image Analysis, Information Fusion等知名国际学术期刊、会议发表学术论文20余篇（ESI高被引论文1篇，IF>10论文5篇），申请发明专利11项，作为核心成员获“深圳市抗击新冠肺炎疫情先进集体”荣誉称号，主要完成人获2021年深圳市科技进步一等奖，担任多个知名国际学术期刊、会议审稿人/PC member，荣获2021年度IEEE JBHI期刊杰出审稿人荣誉称号，担任国家自然科学基金评审专家，广东省粤港澳团队核心成员。主持国家自然科学基金、广东省自然科学基金、华为横向课题等，参与国家自然科学基金联合基金、国家重点研发计划、中科院先导B类项目等多项重大国家及省部级项目。
教师个人主页：https://people.ucas.edu.cn/~rxwang
联系方式：rx.wang@siat.ac.cn
近三年代表性论文:
[1] Boundary-aware context neural network for medical image segmentation, Medical Image Analysis,2022,First author (IF: 13.828, Q1)
[2] Cascaded context enhancement network for automatic skin lesion segmentation, Expert Systems With Applications,2022,First author (IF: 8.665, Q1)
[3] Perturb more, trap more: Understanding behaviors of graph neural networks, Neurocomputing, 2022,co-first author (IF: 5.779, Q1)
[4] Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation, IEEE Transactions on Neural Networks and Learning Systems,2022,First author(IF: 14.255, Q1)
[5] Incomplete Multiview Clustering using Normalizing Alignment Strategy with Graph Regularization, IEEE Transactions on Knowledge and Data Engineering,2022 (IF: 9.235, Q1)
[6] Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering, IEEE Transactions on Cybernetics,2021 (IF: 19.118, Q1)
[7] Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization, IEEE Transactions on Neural Networks and Learning Systems,2021 (IF: 14.255, Q1)
[8] A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data, IEEE Transactions on Computational Social Systems,2021,First author (IF: 4.747, Q1)
[9] Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection, IEEE Journal of Biomedical and Health Informatics,2020,First author (IF: 7.021, Q1)
[10] Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network, Information Fusion,2020 (IF: 17.564, Q1, ESI高被引)
