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，在利用人工智能针对生物电信号（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7项（NSFC面上3国合交流3、科技部1）、省部级8项，目前主持在研国家级2项（NSFC面上1国合交流1）、省部级2项。
具有广泛深入的国内外交流合作，中国工程院咨询专家，中国人工智能学会智慧医疗专委会副主任委员。
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，2027 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， 2022中国生物医学工程大会主动睡眠健康分会场主席（首届）。
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。
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。
IEEE JBHI/TAFFC/IoT (Elsevier)等期刊编辑，曾任IEEE RBME/OJEMB期刊编辑。主持过7个SCI期刊的专刊（IEEE IoTJ/IEEE JBHI等）。
具备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，具有非常丰富的国内外学术、医疗合作资源。作为导师指导了5个国家的40+名硕士生和10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，9人在国内双一流高校（清华、上交、复旦3、东南、天大、山大2）攻读博士学位。西南大学的实验室首届学生2023年夏季毕业，历届毕业生先后在国内外高校、企业、事业单位工作或深造，使导师深感欣慰与光荣（图1-4）。
图1. 2023年赠言“喜春华秋实，期鹏程万里”（2023.6.1）
图2. 2024年赠言“忆春耕夏收，嘱壮志绸缪”（2024.6.7）
图3. 2025年赠言“春雨无声化甘露，值此可遇不可求”（2025.6.17）
图4. 2026年赠言“霖积千岳，燕驰鸿洋，历经沧海终折桂；浩启云途，硕博延双，长风一路奏凯歌”
（含毕业生名，2026.6.26）
2027级拟招收1名博士生从事智能睡眠医学方向，email联系截止时间2027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. 具有一定硬件和系统研发能力，算法有基础者更佳；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/C++等）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] Yanshuang Liu#, Yamei Li#, Mingming Zhao, Nian Xiong, Ming Guan, Hung-Chun Li, Ye Zhang, Yuan Zhang* and Anton Kos, DFCNet: A Precise Detection Approach for Obstructive Sleep Apnea-Hypopnea Events Using Airflow and Respiratory Effort Signals, IEEE Journal of Biomedical and Health Informatics, 2026, published online with DOI 10.1109/JBHI.2026.3688540
[3] Zhen Mei#, Yanshuang Liu#, Mingle Sui, Alan Luiz Eckeli, Yudan Lv, Yuan Zhang*, Xiaoqing Hu and Huan Yu, S5: Self-Supervised Learning Boosts Sleep Spindle Detection in Single-Channel EEG via Temporal Segmentation, IEEE Transactions on Biomedical Engineering, 2026, published online with DOI 10.1109/TBME.2026.3675979
[4] Jie Wei, Hongyin Zhang, Thomas Penzel, Haitang Qiu*, Yuan Zhang* and Mang I Vai, Diagnosis of Major Depressive Disorder with High Suicide Risk Using Slow-wave Sleep Electroencephalograms by TCFM-CNN, IEEE Transactions on Affective Computing, vol. 17(1), pp. 1004-1013, 2026.
[5] Xielan Tang#, Bin Zhang, Yamei Li#, Ming Guan, Nian Xiong, Hung-Chun Li, Mikhail Poluektov, Xuesheng Ma, Yuan Zhang∗ and Mang I Vai, Hybrid Residual Neural Network for Obstructive Sleep Apnea Detection Using ECG Scalogram, IEEE Transactions on Biomedical Engineering, vol. 73(3), pp. 1015-1023, 2026.
[6] Yamei Li, Jing Li, Xinyu Sun, Martin Glos, Yuan Zhang* and Thomas Penzel, Cross-Granular Collaborative Recognition of Cortical Arousal and Sleep Stages from Photoplethysmography, IEEE Transactions on Biomedical Engineering, vol. 72(6), pp. 1800-1810, 2025.
[7] 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, vol. 29(4), pp. 2496-2505, 2025.
[8] 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, vol. 9(2), pp: 1756-1765, 2025.
[9] 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, vol. 28(12), pp. 7447-7456, 2024.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] 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.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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)
[31] 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.
