王书强，中科院特聘研究员，生物医学信息中心副主任。 于香港城市大学获得博士学位，先后在华为-诺亚方舟实验室、香港大学李嘉诚医学院和中科院深圳先进技术研究院从事机器学习，脑影像计算和大数据分析技术等领域的研究；主持科技部重点研发计划课题、国家自然科学基金(4项)、广东省杰出青年基金、广东省国际合作项目、深圳市科创委重点项目等20余项；授权美国发明专利8项，中国发明专利41项；在IEEE TPAMI, IEEE TMI, IEEE TIP, IEEE TNNLS, IEEE TCYB, IEEE TSMC, IEEE TNSRE, IEEE TSP, IEEE TAI, IEEE TCI, IEEE TMC, IEEE TCE, Medical Image Analysis 等国际权威期刊和ICLR, IJCAI, AAAI, MICCAI 等国际权威会议发表论文150余篇, 6篇论文入选ESI 高被引；H-index=42, 多次入选斯坦福大学“全球前2%顶尖科学家”年度科学影响力榜单和终身科学影响力榜单；担任Pattern Recognition, IEEE Transactions on Consumer Electronics, Brain Informatics，《阿尔茨海默病及相关病杂志》等期刊副主编/编委；IEEE Senior Member, 中国人工智能学会模式识别专委, 中国自动化学会模式识别和机器智能专委。
近5年代表性论文：
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI:10.1109/TPAMI.2024.3442811, 2024
Prior-guided Adversarial Learning with Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease, IEEE Transactions on Cybernetics, DOI:10.1109/TCYB.2023.3344641, 2024
Alzheimer's Disease Diagnosis From Multi-modal Data via Feature Inductive Learning and Dual Multilevel Graph Neural Network, Medical Image Analysis, 97:103213, 2024
3D Multimodal Fusion Network with Disease-induced Joint Learning for Early Alzheimer's Disease Diagnosis, IEEE Transactions on Medical Imaging, DOI: 10.1109/TMI.2024.3386937. 2024
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment, IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2024.3425949, 2024
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion, AAAI, 2024
WaveNet: Tackling Non-Stationary Graph Signals via Graph Spectral Wavelets, AAAI, 2024
DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease, IEEE Transactions on Artificial Intelligence, DOI: 10.1109/TAI.2024.3416420, 2024
Generative AI Enables Synthesizing Cross-Modality Brain Image via Multi-Level-Latent Representation Learning, IEEE Transactions on Computational Imaging, DOI:10.1109/TCI.2024.3434724
Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks, IEEE Transactions on Cybernetics, DOI:: 10.1109/TCYB.2024.3353549, 2024
Fundus Image-label Pairs Synthesis and Retinopathy Screening via GANs with Class-imbalanced Semi-supervised Learning, IEEE Transactions on Medical Imaging, DOI:10.1109/TMI.2023.3263216, 2023 （IF=11)
Federated Domain Adaptation via Transformer for Multi-site Alzheimer’s Disease Diagnosis, IEEE Transactions on Medical Imaging, DOI: 10.1109/TMI.2023.3300725, 2023 （IF=11)
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3266819, 2023 （IF=14.2)
Alzheimer’s Disease Prediction via Brain Structural-Functional Deep Fusing Network, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31:4601-4612, DOI: 10.1109/TNSRE.2023.3333952, 2023
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI, IEEE Transactions on Neural Systems and Rehabilitation Engineering, DOI: 10.1109/TNSRE.2023.3323432, 2023
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain, IEEE Transactions on Neural Networks and Learning Systems, 34(11):8802-8814, 2023 （IF=14.2)
Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement, IJCAI 2023
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3118369, 34(8):4401-4415, 2023, （IF=14.2 )
Joint 3D trajectory and resource optimization in multi-UAV enabled IoT networks with wireless power transfer, IEEE Internet of Things Journal, 8(10):7833-7848, 2021 (IF=10.2)
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms, ICLR, 2021
Tensorizing GAN with High-Order Pooling for Alzheimer’s Disease Assessment, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3063516, 33(9): 4945-4959, 2022 （IF=14.2)
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis, IEEE Transactions on Medical Imaging, DOI: 10.1109/TMI.2021.3107013, 41(1): 145-157, 2022, (IF=11)
Predicting Clinical Scores for Alzheimer's Disease Based on Joint and Deep Learning, Expert Systems with Applications, 187:115966, 2022（IF=6.9 )
Insights Into Algorithms for Separable Nonlinear Least Squares Problems, IEEE Transactions on Image Processing, 30: 1207-1218, 2021（IF=10.3)
Diabetic Retinopathy Diagnosis using Multi-channel Generative Adversarial Network with Semi-supervision, IEEE Transactions on Automation Science and Engineering, 18(2):574-585, 2021, （IF=5.2）
An Ensemble based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022, 52(1):426-437, （IF=13.4)
Skin Lesion Segmentation via Generative Adversarial Networks with Dual Discriminators, Medical Image Analysis, 64: 10716, 2020 （IF=11.1)
Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network, MICCAI 2020, LNCS 12262:698-707, 2020
Multi-Scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection, MICCAI 2020, LNCS 12267: 228–237, 2020.
Deep and joint learning of longitudinal data for Alzheimer’s disease prediction, Pattern Recognition, 10: 107247, 2020（IF=7.2）
Dominant-modes-based Sliding Mode Observer for Estimation of Temperature Distribution in Rapid Thermal Processing System, IEEE Transactions on Industrial Informatics, 15(5): 2673-2681, 2019 （IF:9.1 ）
