基本信息
黄欣宇 男 中国科学院昆明植物研究所
电子邮件: hxy101726462@gmail.com
通信地址: Ratzeburger Allee 160, Lübeck
邮政编码: 23562
电子邮件: hxy101726462@gmail.com
通信地址: Ratzeburger Allee 160, Lübeck
邮政编码: 23562
招生信息
招生专业
100701-药物化学
招生方向
基于人工智能,大数据的活性天然产物发现及AI辅助分子设计
教育背景
2017-10--2022-11 德国吕贝克大学医学信息学部 博士 (Dr.-Ing.)2013-04--2017-05 德国锡根大学计算机科学 硕士研究生(Master of Science)
工作经历
工作简历
2024-07~现在, 中国科学院昆明植物研究所, 国家重点实验室副主任(研究员四级)2023-09~2024-06,德国吕贝克大学医学数据科学实验室, 青年课题组组长2022-11~2023-08,德国吕贝克大学医学数据科学实验室, 博后
专利与奖励
专利成果
( 1 ) 全自动神经嵴细胞显微图像分割系统及方法, 发明专利, 2018, 第 1 作者, 专利号: CN106296712A
出版信息
发表论文
(1) Comparison of Feature Learning Methods for Non-invasive Interstitial Glucose Prediction Using Wearable Sensors in Healthy Cohorts: A Pilot Study, Intelligent Medicine, 2024, 第 1 作者(2) The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques, Systems and Soft Computing, 2024, 第 8 作者(3) A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification, Neural Computing and Applications, 2024, 第 10 作者(4) EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation, Frontiers in Microbiology, 2023, 第 12 作者(5) A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers, Computers in Biology and Medicine, 2023, 第 7 作者(6) A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors, Sensors, 2023, 第 4 作者(7) Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning, Computers in Biology and Medicine, 2023, 第 1 作者(8) Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data, Computers in Biology and Medicine, 2023, 第 4 作者(9) Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation, Sensors, 2023, 第 1 作者(10) TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos, Computers in Biology and Medicine, 2022, 第 8 作者(11) Application of transfer learning and ensemble learning in image-level classification for breast histopathology, Intelligent Medicine, 2022, 第 10 作者(12) SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors, Sensors, 2022, 第 3 作者(13) SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection, Applied Sciences, 2022, 第 8 作者(14) A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer, Frontiers in Medicine, 2022, 第 6 作者(15) IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach, Computers in Biology and Medicine, 2022, 第 10 作者(16) Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification, Sensors, 2020, 第 4 作者(17) Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition, Sensors, 2020, 第 4 作者(18) Sleep stage classification for child patients using DeConvolutional Neural Network, Artificial Intelligence in Medicine, 2020, 第 1 作者(19) Full-automatic computer aided system for stem cell clustering using content-based microscopic image analysis, Biocybernetics and Biomedical Engineering, 2017, 第 1 作者
发表著作
(1) Sensor-based Sleep Stage Classification Using Deep Learning, Logos Verlag Berlin, 2023-02, 第 1 作者
科研活动
科研项目
( 1 ) 联合基于CT/MRI/PET影像的脂肪评价及健康智能监测指标构建代谢综合征早期预警及随访评价系统, 负责人, 国家任务, 2023-01--2027-12( 2 ) ParkProReakt, 参与, 其他, 2021-11--2024-10( 3 ) Indicate-FH, 参与, 其他, 2021-07--2024-06( 4 ) VT-Flow, 参与, 其他, 2021-06--2024-05( 5 ) Systemic Nutritional Medicine (SENSE), 负责人, 其他, 2021-05--2024-09( 6 ) SleepMed, 负责人, 其他, 2017-10--2021-12
参与会议
(1)Sensor-Based Detection of Food Hypersensitivity Using Machine Learning 2023-09-21(2)Stem cell microscopic image segmentation using supervised normalized cuts 2016-09-06