Professor
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Email: sq.wang@siat.ac.cn
Research Areas
Machine learning, Brain image computing, Medical image computing, Big data
Experience
Work Experience & Education
2020/11-Present, Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
2016/1-2020/11, Associate Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
2014/5-2015/12, Assistant Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
2013/5-2014/4, Postdoc, LKS Faculty of Medicine, The University of Hong Kong
2012/10–2013/5, Research Engineer, Noah Ark’s Lab, Huawei, Shenzhen
2012/8-2012/10, Research Assistant, City University of Hong Kong
2009/8-2012/8, Ph.D , City University of Hong Kong, Hong Kong
Publications
Selected Publications Since 2017
- Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain, IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2022.3153088, 2022
- 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, 2021
- 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
- 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, 2021
- 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
- Predicting Clinical Scores for Alzheimer's Disease Based on Joint and Deep Learning, Expert Systems with Applications, 187:115966, 2022
- Insights Into Algorithms for Separable Nonlinear Least Squares Problems, IEEE Transactions on Image Processing, 30: 1207-1218, 2021
- Diabetic Retinopathy Diagnosis using Multi-channel Generative Adversarial Network with Semi-supervision, IEEE Transactions on Automation Science and Engineering,18(2):574-585, 2021
- 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
- Skin Lesion Segmentation via Generative Adversarial Networks with Dual Discriminators, Medical Image Analysis, 64: 10716, 2020
- 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
- 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
- Classification oF Diffusion tensor metrics for The Diagnosis of A Myelopathic Cord Using Machine Learning, International Journal of Neural Systems,6, 1750036, 2018
- Ensemble of 3D Densely Connected Convolutiona Network for Diagnosis of Mild Cognitiv Impairment and Alzheimer’s disease, Neurocomputing, 333:145-156, 2018
- Subcarrier Pairing Based Resource Optimization for OFDM Wireless Powered Relay Transmissions with Time Switching Scheme, IEEE Transactions on Signal Processing, 65(5): 1130-1145, 2017.
- Prediction of myelopathic level in cervical spondylotic myelopathy using diffusion tensor imaging, Journal of Magnetic Resonance Imaging, 41:1682–1688, 2015
Students
现指导学生
陈卓 硕士研究生 085211-计算机技术
胡圣烨 硕士研究生 085210-控制工程
罗蔚然 硕士研究生 085208-电子与通信工程
奚桂锴 硕士研究生 085211-计算机技术
游森榕 硕士研究生 085211-计算机技术
胡博闻 硕士研究生 085211-计算机技术
杨戈 硕士研究生 085211-计算机技术
宫长威 硕士研究生 081200-计算机科学与技术
荆常宏 硕士研究生 085400-电子信息
王中昊 硕士研究生 085400-电子信息