吴万庆
一、个人介绍
姓名：吴万庆
职称： 副教授/博士生导师
电子邮箱：wuwanqing@mail.sysu.edu.cn
联系地址： 广东省深圳市公常路66号中山大学深圳校区医学楼2栋610室
二、主要工作及教育经历
2019.07-至今 中山大学，“百人计划”副教授
2013.09-2019.07 中国科学院深圳先进技术研究院，副研
2007.09-2013.06 韩国釜山国立大学，博士
2004.09-2007.06 重庆大学，硕士
2000.09-2004.06 湖南师范大学，学士
三、学科方向（医学电子）
研究方向：可穿戴医疗电子、医学信号处理、 情感计算、云边协同系统等。
- 可穿戴医疗电子设备及系统
研究多传感器感知技术，实现生物力学/电学信号的柔性可穿戴获取；基于可穿戴设备研究生物特征提取与识别、生物特征安全加密方法，构建躯感网-医联网-物联网整合结构及系统集成方法。
- 情感及认知交互计算
研究应激–脑–情绪–心脏互动模式， 情绪介导的心身状态内隐-外显特征变化及互映射关系，探索多维情感生理信息高效、动态、联合的解码及融合方法。
- 生物反馈及云边协同系统
研究基于多元生理信息的人体行为意图识别方法及人-机-环境互适应学习机理，探索面向人机自然交互及协同的智能融合系统，开展临床转化及军民融合应用。
四、招聘/招生
副研究员/助理研究员/博士后招聘
长期招聘多名医学图像处理方向的副研究员、助理研究员、助理教授和博士后，申请者需具有（或即将拿到）计算机、电子信息、控制、数学、心理学、生物医学工程等相关专业背景的博士学位。
博士研究生/硕士研究生/本科生招生/实习：
欢迎有志于科学研究的保研/考研的同学联系我。同时欢迎在读硕士来实验室实习（本校外校均可）。适合对我的研究方向感兴趣、并准备今后攻读博士学位或出国深造的同学。期待计算机、电子信息、控制、数学、心理学、生物医学工程等相关专业背景的同学联系我。
五、主持科研项目
(1) 国家重点研发计划政府间国际合作项目
(2) 中央军委后勤保障部应用基础研究重点项目
(3) 国家自然科学基金面上项目
(4) 广东省科学技术厅高端新型电子信息重点项目
(5) 广州市重点研发计划民生项目
(6) 深圳市科技创新委员会技术公关项目
六、发表论文
[1]. Implementing the confidence constraint cloud-edge collaborative computing strategy for ultra-efficient arrhythmia monitoring. Jiarong Chen, Xianbin Zhang, Lin Xu, Victor Hugo C. de Albuquerque, Wanqing Wu*. Applied Soft Computing, 2024.
[2]. Conditional Generative Adversarial Network Driven Variable-Duration Single-Lead to 12-Lead Electrocardiogram Reconstruction. Zehui Zhan, Jiarong Chen, Kangming Li, Linfei Huang, Lin Xu, Guibin Bian, Richard Millham, Victor Hugo C. de Albuquerque, Wanqing Wu*. Biomedical Signal Processing and Control, 2024.
[3]. Personalized and adaptive neural networks for pain detection from multi-modal physiological features. Mingzhe Jiang, Riitta Rosio, Sanna Salanterä, Amir M Rahmani, Pasi Liljeberg, Daniel S da Silva, Victor Hugo C de Albuquerque, Wanqing Wu*. Expert Systems with Applications, 2024.
[4]. Implementing ultra-lightweight co-inference model in ubiquitous edge device for atrial fibrillation detection. Chen, Jiarong, Mingzhe Jiang, Xianbin Zhang, Daniel S. da Silva, Victor Hugo C. de Albuquerque, Wanqing Wu*. Expert Systems with Applications, 2023.
[5]. Detection of Atrial Fibrillation from Variable-Duration ECG Signal Based on Time-Adaptive Densely Network and Feature Enhancement Strategy. X. Zhang, M. Jiang, K. Polat, A. Alhudhaif, J. Hemanth and Wanqing Wu*. IEEE Journal of Biomedical and Health Informatics, 2023.
[6]. Edge2Analysis: A Novel AIoT Platform for Atrial Fibrillation Recognition and Detection. Chen, Jiarong, Yingfang Zheng, Yingshan Liang, Zehui Zhan, Mingzhe Jiang, Xianbin Zhang, Daniel S. da Silva, Wanqing Wu*, etc. IEEE Journal of Biomedical and Health Informatics, 2022.
[7]. A novel facial emotion recognition method for stress inference of facial nerve paralysis patients. Xu, Cuiting, Chunchuan Yan, Mingzhe Jiang, Fayadh S. Alenezi, Adi Alhudhaif, Norah Alnaim, Kemal Polat and Wanqing Wu*. Expert Systems with Applications，2022.
[8]. Improving sEMG-based motion intention recognition for upper-limb amputees using transfer learning. Jinghua Fan, Mingzhe Jiang, Chuang Lin, Gloria Li, Jinan Fiaidhi, Chenfei Ma, Wanqing Wu*. Neural Computing and Applications, 2021.
[9]. Hybrid feature fusion for classification optimization of short ECG segment in IoT based intelligent healthcare system. Zhang, Xianbin, Mingzhe Jiang, Wanqing Wu*, etc. Neural Computing and Applications, 2021.
[10]. IoT-based Smart Health System for Ambulatory Maternal and Fetal Monitoring. João Alexandre Lobo Marques, Tao Han, Wanqing Wu*, etc. IEEE Internet of Things Journal, 2020.
[11]. Physiological explicit of delayed psychological stress response induced by extra neural regulation. Ming Li, Shixiong Chen, Zhen Gao, Wanqing Wu*, etc. Computer Methods and Programs in Biomedicine, 2020.
[12]. Hyper-Noise Interference Privacy Protection Framework for Intelligent Medical Data-Centric Networks. Wanqing Wu, Haoke Zhang, Victor Hugo C. de Albuquerque, Lin Xu. IEEE Network, 2020.
[13]. Active balancing mechanism for imbalanced medical data in deep learning–based classification models. Hongyi Zhang, Haoke Zhang, Sandeep Pirbhula, Wanqing Wu*, etc. ACM Transactions on Multimedia Computing, Communications, and Applications, 2020.
[14]. Adaptive computing-based biometric security for intelligent medical applications. Wu, Wanqing, Sandeep Pirbhulal, and Guanglin Li. Neural Computing and Applications, 2020.
[15]. Mobility enabled security for optimizing IoT based intelligent applications. Sandeep Pirbhulal, Wanqing Wu*, etc. IEEE Network, 2020.
[16]. Automatic neuroimage processing and analysis in stroke—A systematic review. Roger Moura Sarmento, Francisco Fabio Ximenes Vasconcelos, Pedro Pedrosa Reboucas Filho, Wanqing Wu*, etc. IEEE reviews in biomedical engineering, 2019.
[17]. Quantitative Assessment for Self-Tracking of Acute Stress based on Triangulation Principle in a Wearable Sensor System, Wanqing Wu, Sandeep Pirbhulal, Heye Zhang and Subhas Chandra Mukhopadhyay. IEEE Journal of Biomedical and Health Informatics, 2019.
[18]. Optimization of Signal Quality over Comfortability of Textile Electrodes for ECG Monitoring in Fog Computing based Medical Applications. Wanqing Wu, Sandeep Pirbhulal, Arun Kumar Sangaiahd, Subhas Chandra Mukhopadhyay, Guanglin Li. Future Generation Computer Science, 2018.
[19]. Heart-Beats Based Biometric Rand Binary Sequences Generation to Secure Wireless Body Sensor Networks, S. Pirbhulal, H. Zhang, W. Wu*, etc. IEEE Transactions on Biomedical Engineering, 2018.
[20]. Mobility Enabled Security for Optimizing IoT based Applications. Sandeep Pirbhulal, Wanqing Wu*, etc. IEEE Internet of Things, 2018.
[21]. Medical Information Security for Wearable Body Sensor Networks in Smart Healthcare. Sandeep Pirbhulal, Wanqing Wu*, etc. IEEE Consumer Electronics Magazine, 2018.
[22]. A Joint Resource-Aware and Medical Data Security Framework for Wearable Healthcare Systems, Sandeep Pirbhulal, Oluwarotimi Williams Samuel, Wanqing Wu*, etc. Future Generation Computer Science, 2018.
[23]. Fuzzy vault-based biometric security method for tele-health monitoring systems. Sandeep Pirbhulal, Peng Shang, Wanqing Wu*, etc. Computers & Electrical Engineering, 2018.
[24]. Performance Evaluation of Plain Weave and Honeycomb Weave Electrodes for Human ECG Monitoring. Xueliang Xiao, Sandeep Pirbhulal, Ke Dong, Wanqing Wu*, etc. Journal of Sensors, 2017.
[25]. A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network. Sandeep Pirbhulal, Heye Zhang, Md Eshrat E Alahi, Hemant Ghayvat, Subhas Chandra Mukhopadhyay, Yuan- Ting Zhang, Wanqing Wu*. Sensors, 2016.
[26]. An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks, Sandeep Pirbhulal, Heye Zhang, Subhas Chandra Mukhopadhyay, Chunyue Li, Yumei Wang, Guanglin Li, Wanqing Wu*, Yuan-Ting Zhang. Sensors, 2015.
[27]. Assessment of Biofeedback Training for Emotion Management through Wearable Textile Physiological Monitoring System, Wanqing Wu, Heye Zhang, Sandeep Pirbhulal, Subhas Chandra Mukhopadhyay, Yuan-Ting Zhang. IEEE Sensors Journal, 2015.
[28]. 一种便携式多体征参数监护系统的设计及实现. 戴明,王琪,吴万庆*, 陈昳丽,李春月. 电子技术应用, 2015.
[29]. Combination of Wearable Multi-Biosensor Platform and Resonance Frequency Training for Stress Management of the Unemployed Population. Wanqing Wu, Yeongjoon Gil, Jungtae Lee. Sensors, 2012.
授权专利
[1] 一种用于冠心病预诊断中的改进型随机森林模型及其与诊断系统. 吴万庆，蒋明哲，张献斌. 中国发明: ZL202110488133.8.
[2]一种面向单导联心电图的分类方法、系统及装置.吴万庆，张献斌，韦程琳.中国发明： ZL202110258443.0.
[3] 一种基于紧凑型卷积神经网络的抑郁症识别方法及系统.吴万庆，韦程琳, 蒋明哲，张献斌.中国发明：ZL202110364597.8.
[4] 共振呼吸频率测定方法、交互提示生成方法、装置及设备.吴万庆，胡铁瀚,袁敖，杨艺荣，巫烨力.中国发明：ZL202211502730.2.
[5] 一种可穿戴生理信号采集系统.吴万庆，吴丹，张贺晔，李春月.中国发明： ZL201521139706.2
[6] 一种心理压力评估与反馈系统.吴万庆，吴丹，张贺晔，李春月.中国发明： ZL201511030904.X.
[7] 一种用于光电容积描记信号的光电流处理模拟前端电路. 陆云，董子刚，周小林，吴万庆，张元亭. 中国发明: ZL201410854901.7.
