所属研究所、院系:
人工智能与无人系统研究所

职称:
副教授

E-mail:
wangruix5@mail.sysu.edu.cn

个人主页: http://www.isee-ai.cn/~wangruixuan/



教师简介:
中山大学"****"引进人才，新加坡国立大学博士，曾以主研人员参与多项英国及欧盟研究基金项目，所涉及的研究包括低级视觉的图像去噪、中级视觉的图像特征编码、图像分割、和图像浏览、高级视觉的目标检测和图像分类，以及机器学习中流行学习、度量学习、高斯过程学习、和深度学习等。目前主要专注于新型深度学习模型与方法的研究及其在医学图像智能分析中的应用。迄今在计算机视觉、模式识别、医学图像处理等领域的IEEE TIP、 IEEE TMM、 PR、ICCV、CVPR、MICCAI等顶级国际期刊和会议上发表论文40余篇，并率队获得国际大赛冠军3项。
招收：欢迎研究生与各年级优秀本科生加入实验室，长期招收博士后、特聘副研究员与特聘研究员。

研究领域:
人工智能，包括深度学习、计算机视觉、模式识别、医学图像智能分析等。

教育背景:
2002.07-2007.07, 新加坡国立大学计算机学院，博士，计算机视觉
1999.09-2002.07, 西安交通大学研究生院，硕士，模式识别与智能系统
1994.09-1999.07, 西安交通大学电信学院，本科，自动控制

工作经历:
2017.10至今, 中山大学数据科学与计算机学院，副教授
2016.05-2017.09, 英国邓迪大学科学与工程学院，研究员
2015.01-2016.03, 欧洲东芝医学图像研发中心，科学家
2014.10-2015.01, 英国赫瑞瓦特大学， 副研究员
2007.08-2014.09, 英国邓迪大学计算机学院，博士后研究员，教学助理

海外经历:
2016.05-2017.09, 英国邓迪大学科学与工程学院，研究员
2015.01-2016.03, 欧洲东芝医学影像研发中心，科学家
2014.10-2015.01, 英国赫瑞瓦特大学， 副研究员
2007.08-2014.09, 英国邓迪大学计算机学院，博士后研究员，教学助理
2002.07-2007.07, 新加坡国立大学计算机学院，博士研究生

科研项目:
1.?国家自然科学基金面上项目（**），主持，2021-2024
2.?广东省重点领域研发计划项目（2020B），骨干，2020-2023
3. 广东省重点领域研发计划项目（2019B），骨干，2019-2021
4. 广州市科技计划（0），主持，2019-2021
5. 国家重点研发计划（2018YFC**），骨干，2018-2021
6. Discovering retinal biomarkers for diabetes with Vampire，英国维康信托基金，主研，2016-2017
7. Colonic Disease Investigation by Robot Hydro-colonoscopy (CODIR)，欧盟研究基金，主研，2011-2014.
8. Microscopic Image Analysis for Cell Biology, 英国三大科研联合基金，主研, 2010-2011.
9. FABRIC: Fashion and Apparel Browsing for Inspirational Content, 英国技术战略基金，主研，2007-2010.

主要学术兼职:
长期担任TMI, MIA, TIP, PR等国际学术期刊和MICCAI, CVPR等国际学术会议审稿人。

教授课程:
深度学习（人工神经网络原理与实验），本科课程
深度学习前沿，本硕贯通课程
人工智能与模式识别（部分），研究生课程
生物医药信息学前沿（医学图像分析部分），研究生课程

代表性论著:
[1].?Wenying Zhou^#(硕士生), Yang Yang^#(硕士生), Cheng Yu, Juxian Liu, Xingxing Duan, Zongjie Weng, Dan Chen, Qianhong Liang, Qin Fang, Jiaojiao Zhou, Hao Ju, Zhenhua Luo, Weihao Guo, Xiaoyan Ma, Xiaoyan Xie*, Ruixuan Wang*, Luyao Zhou*, Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images, Nature Communications (Nature 子刊), 12:1259,?2021.
[2]. Yang Yang(硕士生), Jiancong Chen, Ruixuan Wang*, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang*, Towards unbiased COVID-19 lesion localisation and segmentation via weakly supervised learning, International Symposium on Biomedical Imaging (ISBI, 医学图象智能分析国际知名会议), 2021.
[3]. Yifan Mao (硕士生), Feifei Xue?(硕士生),?Ruixuan Wang*, Jianguo Zhang*, Weishi Zheng, Hongmei Liu.?Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Autoencoders.?International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI, 医学图象智能分析国际顶级会议), 2020.
[4].?Jiaxin Zhuang (硕士生), Jiabin Cai (硕士生),?Ruixuan Wang*, Jianguo Zhang, Weishi Zheng.?Deep kNN for Medical Image Classification.?International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020.?
[5].??Zhuoyun Li (本科生), Changhong Zhong (硕士生),?Ruixuan Wang*, Weishi Zheng.?Continual Learning of New Diseases with Dual Distillation and Ensemble Strategy.?International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020.
[6].??Weixian Lei (本科生), Rong Zhang (硕士生), Yang Yang (硕士生),?Ruixuan Wang*, Weishi Zheng.?Class-center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data.?International Symposium on Biomedical Imaging (ISBI)?, 2020. 最佳论文提名
[7].??Weipeng Li (硕士生), Jiaxin Zhuang (硕士生),?Ruixuan Wang*, Jianguo Zhang, Weishi Zheng.?Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis.?International Symposium on Biomedical Imaging (ISBI), 2020.
[8].??Zhiying Cui (硕士生), Longshi Wu (硕士生),?Ruixuan Wang*.?Open Set Semantic Segmentation with Statistical Test and Adaptive Threshold.?IEEE International Conference on Multimedia and Expo (ICME), 2020.
[9]. Junjie Xu(硕士生), Yaojia Zheng(硕士生), Yifan Mao(硕士生), Ruixuan Wang*, Wei-Shi Zheng, Anomaly detection on electroencephalography with self-supervised learning, IEEE International Conference on Bioinformatics and Biomedicine?(BIBM), 2020.
[10]. Rong Zhang (硕士生), Shuhan Tan (本科生), Ruixuan Wang*, Siyamalan Manivannan, Jingjing Chen, Haotian Lin, Weishi Zheng.?Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network.?International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.?
[11].?Feifei Xue (硕士生), Jin Peng (本科生), Ruixuan Wang*, Qiong Zhang, Weishi Zheng. Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks.?International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019.?
[12].?Zhiying Cui (硕士生), Longshi Wu (本科生), Ruixuan Wang*, Weishi Zheng.?Ensemble Transductive Learning for Skin Lesion Segmentation.?Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2019.
[13]. Jiaxin Zhuang (硕士生), Jiabin Cai (硕士生), Ruixuan Wang*, Jianguo Zhang, Weishi Zheng.??CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data.?International Conference on Medical Imaging with Deep Learning (MIDL,?医学影像智能分析与深度学习结合的高标准国际会议), 2019.
[14].?Hongwei Li, Gongfa Jiang, Jianguo Zhang*, Ruixuan Wang*, Zhaolei Wang, Wei-shi Zheng, Bjoern Menze. Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. NeuroImage, 2018.
[15]. Gareth J. McKay, Euan N. Paterson, Alexander P. Maxwell, Christopher C. Cardwell, Ruixuan Wang, Stephen Hogg, Thomas J. MacGillivray, Emanuele Trucco, Alexander S. Doney. Retinal microvascular parameters are not associated with reduced renal function in a study of individuals with type 2 diabetes. Scientific Report, 8:3931, 2018.
[16]. Haocheng Shen*, Jianguo Zhang, Ruixuan Wang, Weishi Zheng, Stephen McKenna. Boundary-aware Fully Convolutional Network for Brain Tumor Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017.
[17]. Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna*. An Automated Pattern Recognition System for Classifying Indirect?Immunofluorescence Images of HEp-2 Cells and Specimens. Pattern Recognition (PR), 51, 12-26, 2016.
[18]. Siyamalan Manivannan*, Ruixuan Wang, Emanuele Trucco. Hierarchical Mix-Pooling and its Applications to Biomedical Image Classification. International Symposium on Biomedical Imaging (ISBI), 2016.
[19]. Ruixuan Wang*, Markus Pakleppa, Emanuele Trucco. Low Rank Prior in Single Patches for Non-pointwise Pulse Noise Removal. IEEE Transactions on Image Processing (TIP), 25(4), 1485-1496, 2015.
[20]. Siyamalan Manivannan*, Ruixuan Wang, Emanuele Trucco. Inter-cluster Features for Medical Image Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014.
[21]. Ruixuan Wang*, Emanuele Trucco. Single-patch Low-rank Prior for Non-pointwise Impulse Noise Removal. IEEE International Conference on Computer Vision (ICCV), 2013.
[22]. Siyamalan Manivannan*, Ruixuan Wang, Emanuele Trucco, Adrian Hood. Automatic Normal-abnormal Video Frame Classification for Colonoscopy. International Symposium on Biomedical Imaging (ISBI), 2013.
[23]. Wee Kheng Leow, Ruixuan Wang*, Hong Wai Leong. 3D-2D Spatiotemporal Registration for Sports Motion Analysis. Machine Vision and Applications (MVA), 23(6), 1177-1194, 2012.
[24]. Ruixuan Wang, Himanshu Pokhariya, Stephen J. McKenna, John Lucocq*. Recognition of Immuno Gold Markers in Electron Micrographs. Journal of Structural Biology (JSB), 176(2), 151-158, 2011.
[25]. Ruixuan Wang*, Stephen J. McKenna, Junwei Han. Visualizing Image Collections using High-Entropy Layout Distributions. IEEE Transaction on Multimedia (TMM), 12(18), 803-813, 2010.
[26]. Ruixuan Wang*, Stephen J. McKenna, and Junwei Han. High-Entropy Layouts for Content-based Browsing and Retrieval. ACM International Conference on Image and Video Retrieval (CIVR), 2009.
[27]. Junwei Han*, Stephen J. McKenna, Ruixuan Wang. Regular Texture Analysis as Statistical Model Selection. European Conference on Computer Vision (ECCV), 2008.
[28]. Ruixuan Wang*, Wee Kheng Leow, and Hong Wai Leong. 3D-2D Spatiotemporal Registration for Sports Motion Analysis. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
3. 专利：
[1]. Stephen J. McKenna, Ruixuan Wang, Annette Ward. System and Method for Arranging Items for Display. 中国专利CN, 2014, 美国专利US**, 2016.
[2]. 郑南宁，王瑞轩，吴勇，张光烈，徐维朴。一种内在并行的二维离散小波变换的VLSI结构的设计方法. 中国专利CN**, 2005.