王如心(Ruxin Wang) 中国科学院深圳先进技术研究院 研究员，博士生导师
王如心，中国科学院深圳先进技术研究院研究员，中国科学院大学博士生导师，国家重点研发计划首席青年科学家，中国科学院特聘研究岗位（骨干人才），深圳市优青，深圳市“鹏城孔雀计划”特聘岗位人才，中国运筹学会数学与智能分会副秘书长，中国运筹学会图论组合分会青年理事，中国计算机学会生物信息学专委会委员，中国人工智能产业发展联盟医学人工智能委员会标准与评测工作组专家，广东省精准医学应用学会医学大数据与人工智能分会常务委员。主要研究方向包括因果机器学习与优化，多模态表征计算，图像处理等。近五年，在ACM/IEEE TKDD/TKDE/TNNLS/TCYB/TCSS/JBHI, Medical Image Analysis, Pattern Recognition, Information Fusion, ICML, CVPR, IJCAI, MICCAI等知名国际学术期刊、会议发表学术论文几十余篇，授权发明专利十余项，获吴文俊人工智能科学技术奖自然科学二等奖(2025)广东省科技进步二等奖(2023)、深圳市科技进步一等奖(2021)，深圳市优秀科技论文(2022, 2023)，广东省计算机学会优秀论文奖(2025)等。担任国家自然科学基金、广东省科技厅、北京市自然科学基金以及深圳市科技创新委员会评审专家等。主持国家重点研发计划青年科学家项目，国家自然科学基金面上项目、青年项目（C类），广东省自然科学基金面上项目，深圳市优秀创新人才培养项目及华为企业合作研究课题等。
教师个人主页：https://people.ucas.edu.cn/~rxwang
联系方式：rx.wang@siat.ac.cn
代表性学术论文：
[1] Causal Conditional Prompt Learning for Biomedical Vision Language Models[C]. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[2] A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables[C]. Proceedings of the International Conference on Machine Learning (ICML), 2026.
[3] Multimodal Medical Endoscopic Image Analysis via Progressive Disentangle-aware Contrastive Learning[J]. Medical Image Analysis, 2026.
[4] Semi-supervised Medical Image Classification Made Easier with Causality-Driven Learning[J]. IEEE Journal of Biomedical and Health Informatics, 2026.
[5] Semi-MedSAM: Adapting SAM-assisted Semi-supervised Multi-modality Learning for Medical Endoscopic Image Segmentation[J]. Pattern Recognition, 2026.
[6] Causality-inspired Latent Feature Augmentation for Single Domain Generalization[J]. Pattern Recognition,2026.
[7] Learning Directed Acyclic Graphs via Noising and Denoising[J]. Information Sciences, 2026.
[8] MORSE: Molecular Representation Learning via Structured Semantic Extraction across Hierarchical and Asymmetric Biological Modalities[J], Pattern Recognition, 2025.
[9] Decouple-and-Couple Learning in Multi-modal Brain Tumor Segmentation, IEEE Journal of Biomedical and Health Informatics, 2025.
[10] SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization[C], International Conference on Machine Learning (ICML), 2025.
[11] Cyclic Contrastive Representation Learning for Incomplete Multi-modal Medical Image Segmentation[J].IEEE Journal of Biomedical and Health Informatics, 2025.
[12] Identifying Causal Mechanism Shifts under Additive Models with Arbitrary Noise[C], International Joint Conference on Artificial Intelligence (IJCAI), 2025.
[13] Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis[C]. Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
[14] Boundary-aware Context Neural Network for Medical Image Segmentation[J]. Medical Image Analysis, 2022.
[15] Focus, Fusion, and Rectify: Context-aware Learning for COVID-19 Lung Infection Segmentation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.
