教师简介:
王瑞轩，副教授，博导，jbo竞博电竞官方网站“百人计划”引进人才，新加坡国立大学博士。目前专注于深度学习方法的研究及其在医学图象分析中的应用。曾参与多项英国及欧盟科研项目、主持国家自然科学基金面上项目、科技部重点研发项目子课题等国家及省市级科研项目近10项，在计算机视觉、模式识别、医学图像处理等领域的Nature子刊、ICCV、CVPR、AAAI、MICCAI等国际知名期刊和会议上发表论文80余篇。目前担任MICS专委会与CAA混合智能专委会委员、CCF数字医学分会执委，长期担任TMI、MIA、TIP等国际学术期刊审稿人和MICCAI、CVPR、ICCV等国际学术会议程序委员会委员。
招收：欢迎博士生、硕士生、及各年级优秀本科生加入实验室，长期招收博士后。实验室科研经费充足，科研气氛浓厚，同学关系融洽。如果你想在人工智能（尤其是与图像相关）方面进一步学习和深造，欢迎随时邮件联系我。
问：你们组只做与医学图像相关的研究？答：不是！我们组实际上主要关注的是人工智能尤其是深度学习前沿技术的探索。我们的目标是研发出能够像人类一样具有持续学习新知识、从少量数据中有效学习到新知识、以及具有可解释性和安全/鲁棒性的新一代人工智能模型与系统，并将其应用到多种（包括医疗智能）实际场景中。
问：做医学图像分析的研究需要相关医学知识和背景么？答：对于医学图像分析的相关研究，我们主要关注AI技术的创新，即使没有任何医学知识也不妨碍相关技术的探索。
所指导学生毕业去向：
- 研究生：腾讯（5人），阿里巴巴（5人），京东（1人），华为（1人），香港科技大学读博（2人），国内顶级高校读博（2人）
- 本科生：新加坡国立大学（读博，1人），加州大学（读硕，2人），北京大学（读硕，1人），南京大学（读硕，1人），jbo竞博电竞官方网站（读硕，18人），腾讯（1人）
所指导学生获奖情况：
- 2024年jbo竞博电竞官方网站优秀本科毕业论文（温北晨）
- 2023年皮肤病智能诊断嵌入式系统国际竞赛第三名（谭建韬、郑奕）
- 2020年医学图像领域国际知名会议ISBI最佳论文提名（雷伟贤）
- 2018年皮肤病智能诊断国际竞赛高校组第一名（庄嘉鑫、李伟鹏等）
- 2017年大脑白质异常区域分割国际竞赛冠军（李宏伟、江功发、王兆蕾）
- 2014年单细胞图像分类国际竞赛冠军（Siyamalan Manivannan,Wenqi Li, Shazia Akbar）
- 2014年多细胞标本图像分类国际竞赛冠军（Siyamalan Manivannan,Wenqi Li, Shazia Akbar）
研究领域:
计算机视觉方向
- 深度学习前沿技术：持续学习、小样本学习、视觉与多模态基础大模型等
- 可信人工智能：未知类（OOD）检测、模型可解释性、模型鲁棒性等
- 医学图像智能分析：基于各种医学图像的疾病智能诊断、疗效评估等
教育背景:
- 2007.07, 新加坡国立大学，jbo竞博电竞官方网站，博士
- 2002.07, 西安交通大学，电信学院，硕士
- 1999.07, 西安交通大学，电信学院，学士
工作经历:
- 2017.10至今, jbo竞博电竞官方网站，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jbo竞博电竞官方网站，博士后研究员，教学助理
科研项目:
- 国家自然科学基金面上项目（负责人）
- 国家重点研发计划（子课题负责人）
- 广东省卓越青年团队（核心成员）
- 广州市科技计划（负责人）
- 广东省重点领域研发计划项目-1（骨干）
- 广东省重点领域研发计划项目-2（骨干）
- 欧盟研究基金项目（骨干）
- 英国维康信托基金项目（骨干）
- 英国技术战略基金项目（骨干）
主要学术兼职:
- 医学图像计算青年研讨会（MICS）专委会委员
- 中国自动化学会（CAA）混合智能专委会委员
- 中国计算机学会（CCF）数字医学分会执委
教授课程:
- 人工神经网络，本科课程，2018-2024 春季学期
- 模式识别 (深度学习部分)，研究生课程，2019-2024 秋季学期
- 离散数学，本科课程，2024 秋季学期 （coming）
- 生物医药信息学前沿 (医学图像分析部分)，研究生课程，2020-2023 秋季学期
- 病理与健康 (AI与病理部分)，本科生通识课程，2019-2024 春季+秋季学期
- 医学人工智能的研发与应用 (疾病智能诊断部分)，研究生通识课程，2021-2024 秋季学期
- 深度学习前沿，研究生课程，2021-2022 秋季学期
代表性论著:
(AI-人工智能；CV-计算机视觉；MIA-医学图像分析；#: 共同一作；*：通讯作者）
【Nature 子刊】Xinke Zhang#, Zihan Zhao#, Ruixuan Wang#, Haohua Chen#, Xueyi Zheng, Lili Liu, Lilong Lan, Peng Li, Shuyan Wu, Qinghua Cao, Rongzhen Luo, Wanming Hu, Shanshan Lyu, Zhengyu Zhang, Dan Xie*, Yaping Ye*, Yu Wang*, Muyan Cai*. A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma, Nature Communications, 15:3768, 2024.
【Nature 子刊】Xueyi Zheng#(博士生), Ruixuan Wang#, Xinke Zhang#, Yan Sun#,Haohuan Zhang, Zihan Zhao, Yuanhang Zheng, Jing Luo, Jiangyu Zhang, Hongmei Wu, Dan Huang, Wenbiao Zhu, Jianning Chen, Qinghua Cao, Hong Zeng, Rongzhen Luo, Peng Li, Lilong Lan, Jingping Yun, Dan Xie, Wei-Shi Zheng*, Junhang Luo*, Muyan Cai*, A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology, Nature Communications, 13:2790, 2022.
【Nature 子刊】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, 12:1259, 2021.
【AI顶会，CCF A类】Jiankang Chen (硕士生), Tong Zhang, Weishi Zheng, Ruixuan Wang*. TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection, AAAI Conference on Artificial Intelligence (AAAI), 2024.
【AI顶会，CCF A类】Dalong Chen (硕士生), Jianjia Zhang, Weishi Zheng, Ruixuan Wang*. FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging, AAAI Conference on Artificial Intelligence (AAAI), 2024.
【AI顶会，CCF A类】Xiaoyuan Guan (博士生), Jiankang Chen, Shenshen Bu, Yuren Zhou*, Weishi Zheng, Ruixuan Wang*. Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection, AAAI Conference on Artificial Intelligence (AAAI), 2024.
【AI顶会，CCF A类】Jiankang Chen (硕士生), Ling Deng, Zhiyong Gan, Weishi Zheng, Ruixuan Wang*. FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector, ACM Multimedia (ACM-MM), 2024.
【MIA顶会，Top-1】Xuyang Li (硕士生), Weizhuo Zhang (硕士生), Yue Yu, Weishi Zheng, Tong Zhang*, Ruixuan Wang*. SiFT: A Serial Framework with Textual Guidance for Federated Learning, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
【MIA顶会，Top-1】Yuanhang Zheng (硕士生), Yiqiao Qiu, Haoxuan Che, Hao Chen, Weishi Zheng, Ruixuan Wang*. Deep Model Reference: Simple but Effective Confidence Estimation for Image Classification, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
【CV名刊，中科院一区】Wei Shi (硕士生), Wentao Zhang, Weishi Zheng, Ruixuan Wang*. PAMI: Partition Input and Aggregate Outputs for Model Interpretation, Pattern Recognition (PR), 145:109898, 2024.
【CV名刊，中科院一区】Zhuohao Sun (硕士生), Yiqiao Qiu, Zhijun Tan, Weishi Zheng, Ruixuan Wang*. Classifier-Head Informed Feature Masking and Prototype-Based Logit Smoothing for Out-of-Distribution Detection, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. DOI 10.1109/TCSVT.2024.3359319
【CV顶会，CCF A类】Xiaoyuan Guan (博士生), Zhouwu Liu, Weishi Zheng, Yuren Zhou*, Ruixuan Wang*. Revisit PCA-based technique for Out-of-Distribution Detection, IEEE International Conference on Computer Vision (ICCV), 2023.
【MIA顶会，Top-1】Wentao Zhang#（博士生）, Yujun Huang#（硕士生）, Tong Zhang, Qingsong Zou , Weishi Zheng, Ruixuan Wang*. Adapter learning in pretrained feature extractor for continual learning of diseases, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
【MIA名刊，中科院一区】Kanghao Chen (硕士生), Weixian Lei, Shen Zhao*, Weishi Zheng, Ruixuan Wang*. PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification, IEEE Journal of Biomedical and Health Informatics (JBHI), 27(4):2026-2036, 2023.
【CV名刊，中科院一区】Yiqiao Qiu (本科生), Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang*. SATS: Self-attention transfer for continual semantic segmentation, Pattern Recognition (PR), 138:109383, 2023.
【MIA顶会，Top-1】Yaojia Zheng (硕士生), Zhouwu Liu (硕士生), Rong Mo, Ziyi Chen, Weishi Zheng, Ruixuan Wang*. Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.
【MIA顶会，Top-1】Yang Yang(硕士生), Zhiying Cui(硕士生), Junjie Xu(硕士生), Changhong Zhong(硕士生), Ruixuan Wang*, Weishi Zheng, Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.
【MIA顶会，Top-1】Kanghao Chen#(硕士生), Yifan Mao#(硕士生), Huijuan Lu(硕士生), Chenghua Zeng(硕士生), Ruixuan Wang*, Weishi Zheng, Alleviating Data Imbalance Issue with Perturbed Input during Inference, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.
【MIA顶会，Top-1】Yangwen Hu#(硕士生), Zhehao Zhong#(硕士生), Ruixuan Wang*, Hongmei Liu, Weishi Zheng, Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.
【MIA顶会，Top-1】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), 2020.
【MIA顶会，Top-1】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.
【MIA顶会，Top-1】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.
【最佳论文提名】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，医学图像分析领域国际知名会议) , 2020.
【MIA顶会，Top-1】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.
【MIA顶会，Top-1】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.
【MIA顶刊，中科院一区】Hongwei Li (硕士生), 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.
【MIA顶会，Top-1】Haocheng Shen* (博士生), 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.
【CV名刊，中科院一区】Siyamalan Manivannan (博士生), 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.
【CV顶刊，CCF A类】 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.
【MIA顶会，Top-1】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.
【CV顶会，CCF A类】Ruixuan Wang*, Emanuele Trucco. Single-patch Low-rank Prior for Non-pointwise Impulse Noise Removal. IEEE International Conference on Computer Vision (ICCV), 2013.
【CV名刊，中科院一区】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.
【CV顶会，CCF A类】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.
