张远，博士，教授，博士生导师。研究领域智能感知和医学人工智能，目前主要研究方向包括：睡眠健康感知与计算、基础生理指标监测，在利用机器学习技术针对生物电信号（脑电、心电、肌电、脉搏波、PPG信号等）和医学影像（fMRI、CT等）辅助诊疗、康养方面具有多项创新成果。主持纵向科研项目国家级6项（NSFC面上3国合1、科技部1）、省部级6项，目前主持在研3项（NSFC面上2）。
具有广泛深入的国内外交流合作，香山科学会议“面向睡眠健康的智能感知与计算”发起人和执行主席，6次参加和主持香山科学会议。
IEEE/ACM/中国人工智能学会/中国生物医学工程学会的高级会员，2025 IEEE Fellow提名候选人，2024科技部“中国-新西兰科学家交流计划”入选人，CAAI智慧医疗专委会常委，2022中国生物医学工程大会主动睡眠健康分会场主席（首届）。
国家重点研发计划/NSFC等函评、会评专家，多个国家级科研计划指南编制专家。
主持过7个SCI期刊的专刊（IEEE IoTJ/IEEE JBHI等），IEEE JBHI/IoT (Elsevier)/IEEE RBME/IEEE OJEMB等期刊编辑。
具有强烈的科研探索精神、开拓创新能力和热爱学生培养学生的情怀。作为导师指导了5个国家的30+名研究生和7名博士生，已毕业研究生中9人获得全额奖学金先后赴加拿大、澳大利亚、英国和新西兰攻读博士学位，7人在国内双一流高校（清华、上交、复旦2、东南、天大、山大）攻读博士学位。
2023年毕业的硕士研究生中，1名在清华大学攻读博士学位，1名在上海交大攻读博士学位，1名全额奖学金在悉尼大学攻读博士学位，1名全额奖学金将赴奥塔哥大学攻读博士学位。在读4名博士生分别来自郑州大学、中科院自动化所、广西科技大学、四川轻化工大学，其中1名在德国柏林夏里特医科大学联合培养。
2025级拟招收1名博士生从事智能睡眠健康方向，email联系截止时间2025年3月。对报考博士研究生的要求：1. 研究兴趣匹配，一作发表有相关高水平论文；2. 具有吃苦耐劳、踏实肯干的品质；3. 具有良好的数学、英语、信号处理、算法和较好的Python语言基础；4. 未来目标不清、个人意识过强、自我管理能力差者，不适宜联系。
对报考硕士研究生的要求：1. 研究兴趣匹配，未来规划以国内外读博为主；2. 具有吃苦耐劳、踏实肯干的品质；3. 具有良好的信号处理、算法和一定的程序语言（Python/Matlab）基础；4. 未来目标不清、个人意识过强、自我管理能力差者，不适宜联系。
Email: yuanzhang@swu.edu.cn, yuan.zhang@ieee.org
附部分代表作
[1] 张远*，面向睡眠健康的感知、计算和干预，科学通报，67: 27-36, 2022.
[2] Yongliang Chen#, Yudan Lv, Xinyu Sun#, Mikhail Poluektov, Yuan Zhang* and Thomas Penzel, ESSN: An Efficient Sleep Sequence Network for Automatic Sleep Staging, IEEE Journal of Biomedical and Health Informatics, 在线发表DOI 10.1109/JBHI.2024.3443340
[3] Kai Du, Jing Li, Zhiyi Huang, Houbing Song, Yuanting Zhang, Yuan Zhang∗ and Zhen Mei∗, A non-invasive blood glucose detection system based on multiple near-infrared sensors and deep learning model, IEEE Journal of Biomedical and Health Informatics, 在线发表DOI 10.1109/JBHI.2024.3443317
[4] Qi Liu#, Jie Wei#, Thomas Penzel, Maarten De Vos, Yuan Zhang∗, Zhiyi Huang, Mikhail Poluektov, Yulan Zhu and Chenyu Li, ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging, IEEE Transactions on Emerging Topics in Computational Intelligence, 在线发表DOI 10.1109/TETCI.2024.3446389
[5] Zhiya Wang, Xue Pan, Zhen Mei, Zhifei Xu, Yudan Lv, Yuan Zhang* and Cuntai Guan, ECGAN-Assisted ResT-Net Based on Fuzziness for OSA Detection, IEEE Transactions on Biomedical Engineering, vol. 71(8), pp. 2518-2527, 2024.
[6] Shisen Chen, Fen Qin, Xuesheng Ma, Jie Wei, Yuan-Ting Zhang, Yuan Zhang* and Emil Jovanov, Multi-View Cross-Fusion Transformer Based on Kinetic Features for Non-Invasive Blood Glucose Measurement Using PPG Signal, IEEE Journal of Biomedical and Health Informatics, vol. 28(4), pp. 1982-1992, 2024.
[7] Yucen Yang, Jie Chen, Jie Wei, Zhikang Wang, Jiangning Song, Yuanting Zhang, Yuan Zhang* and Jichao Zhao, Noninvasive Blood Glucose Detection System with Infrared Pulse Sensor and Hybrid Feature Neural Network, IEEE Sensors Journal, vol. 22(8), pp. 13385-13394, 2024.
[8] Fuxiang Deng, Emil Jovanov, Houbing Song, Weisong Shi, Yuan Zhang* and Wenyao Xu, WiLDAR: WiFi Signal-Based Lightweight Deep Learning Model for Human Activity Recognition, IEEE Internet of Things Journal, vol. 11(2), pp. 2899-2908, 2024.
[9] Hongmei Liu, Haibo Zhang, Baozhu Li, Xinge Yu, Yuan Zhang* and Thomas Penzel, MSleepNet: A Semi-supervision Based Multi-view Hybrid Neural Network for Simultaneous Sleep Arousal and Sleep Stage Detection, IEEE Transactions on Instrumentation and Measurement, vol. 73, 4002909, 2024.
[10] Zhiqiang Chen, Xue Pan, Zhifei Xu, Ke Li, Yudan Lv, Yuan Zhang* and Hongqiang Sun, A Semi-supervised Multi-scale Arbitrary Dilated Convolution Neural Network for Pediatric Sleep Staging, IEEE Journal of Biomedical and Health Informatics, vol. 28(2), pp. 1043-1053, 2024.
[11] Chuanhao Zhang, Emil Jovanov, Hongen Liao, Yuan-Ting Zhang, Benny Lo, Yuan Zhang* and Cuntai Guan, Video Based Cocktail Causal Container for Blood Pressure Classification and Blood Glucose Prediction, IEEE Journal of Biomedical and Health Informatics, vol. 27(2), pp. 1118-1128, 2023.
[12] Yamei Li, Shengqiong Luo, Haibo Zhang, Yinkai Zhang, Yuan Zhang* and Benny Lo, Mtclss: Multi-Task Contrastive Learning for Semi-Supervised Pediatric Sleep Staging, IEEE Journal of Biomedical and Health Informatics, vol. 27(6), pp. 2647-2655, 2023.
[13] Liu Cheng, Shengqiong Luo, Xinge Yu, Hemant Ghayvat, Haibo Zhang and Yuan Zhang*, EEG-CLNet: collaborative learning for simultaneous measurement of sleep stages and OSA events based on single EEG signal, IEEE Transactions on Instrumentation and Measurement, vol. 72, 2503910, pp. 1-10, 2023.
[14] Gaobo Zhang, Zhen Mei, Yuan Zhang*, et al., A Non-invasive Blood Glucose Monitoring System Based on Smartphone PPG Signal Processing and Machine Learning, IEEE Transactions on Industrial Informatics, vol. 16(11), pp. 7209-7218, 2020.
[15] Chuanhao Zhang, Wenwen Yu, Yamei Li, Hongqiang Sun*, Yuan Zhang* and Maarten De Vos, CMS2-net: Semi-supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity, IEEE Journal of Biomedical and Health Informatics, vol. 26(7), pp. 3447-3457, 2022.
[16] Xinyu Yang, Yuan Zhang*, et al., DBAN: Adversarial Network with Multi-Scale Features for Cardiac MRI Segmentation, IEEE Journal of Biomedical and Health Informatics, vol. 25(6), pp. 2018-2028, 2021.
[17] Yuan Zhang, et al., Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network, IEEE Journal of Biomedical and Health Informatics, vol. 24(2), pp. 465-474, 2020.
[18] Md Rishad Ahmed, Yuan Zhang*, et al., Single Volume Image Generator and Deep Learning-based ASD Classification, IEEE Journal of Biomedical and Health Informatics, vol. 24(11), pp. 3044-3054, 2020.
[19] Qingbei Guo, Yuan Zhang*, et al., A Localization Method Avoiding Flip Ambiguities for micro-UAVs with Bounded Distance Measurement Errors, IEEE Transactions on Mobile Computing, vol. 18 (8), pp. 1718-1730, 2019.
[20] Yuan Zhang, et al., Special Issue on Wearable Sensor-Based Big Data Analysis for Smart Health, IEEE Internet of Things Journal, vol. 6(2), pp. 1293-1297, 2019.
[21] Md Rishad Ahmed, Yuan Zhang*, et al., Neuroimaging and Machine Learning for Dementia Diagnosis: Recent Advancements and Future Prospects, IEEE Reviews in Biomedical Engineering, vol. 12, pp. 19-33, 2019.
[22] Sarah Ali Siddiqui, Yuan Zhang*, et al., Pain-free Blood Glucose Monitoring Using Wearable Sensors: Recent Advancements and Future Prospects, IEEE Reviews in Biomedical Engineering, vol. 11, pp. 21-35, 2018.
[23] Matej Kren, Andrej Kos, Yuan Zhang*, et al., Public Interest Analysis Based on Implicit Feedback of IPTV Users, IEEE Transactions on Industrial Informatics, vol. 13(4), pp. 2077-2086, 2017.
[24] Alex Obinikpo, Yuan Zhang*, et al., Queueing Algorithm for Effective Target Coverage in Mobile Crowd Sensing, IEEE Internet of Things Journal, vol. 4(4), pp. 1046-1055, 2017.
[25] Yuan Zhang, et al., Ubiquitous WSN for Healthcare: Recent Advances and Future Prospects, IEEE Internet of Things Journal, vol.1 (4), pp. 311-318, 2014. (150+引用，2020年9月)
[26] Yuan Zhang*, et al., Localization Using Joint Distance and Angle Information for 3D Wireless Sensor Networks, IEEE Communications Letters, vol. 16(6), pp. 809-811, 2012.
