孙乐教授

32

硕士生导师

职称:教授

性别:女

毕业院校:维多利亚大学

学历:博士研究生毕业

在职信息:在岗

所在单位:计算机学院、网络空间安全学院(数字取证教育部工程研究中心、公共计算机教学部)

学科:计算机应用技术

办公地点:计算机楼203

联系方式:qq864457960

电子邮箱:002813@nuist.edu.cn

个人简介


学习与工作经历 Study and Working Experience

Dr. Le Sun is a Professor in the School of Computer and Software, Nanjing University of Information Science and Technology, China. She received her PhD degree in 2016, from Victoria University, Australia, and received the Chancellor-citation Best PhD Award. In 2018, she was a visiting scholar of Michigan State University. She has published over 50 papers on high quality conferences and journals, including CCF-A, B and C journal papers. Her research interests include Medical data stream mining, services computing, and fog computing.

孙乐于201612月从澳大利亚维多利亚大学工程与科学系取得博士学位,毕业论文:医疗云中的感应数据流挖掘,并获得校长提名最优博士奖。20172月进入南京信息工程大学计算机与软件学院工作。20181月获得南信大中美计算机研究中心资助,赴美国密歇根州立大学访学。孙乐正主持国家自然科学基金和江苏省自然科学基金项目各一项;其在数据挖掘、云计算等领域取得过丰硕成果,已在高质量学术期刊及国际知名会议发表论文50 余篇,包括CCF-A类期刊论文,中科院一区论文,我校T1级别期刊论文。

2019.07-now              Professor, School of Computer and Software, Nanjing University of Science and Technology, China

2018.01-2018.12        Visiting scholar, Department of Computer Science and Engineering, Michigan State University, USA

2017.2 – 2019.07        Lecturer, School of Computer and Software, Nanjing University of Science and Technology, China

2016.7 - 2016.12        Research Assistant, Center for Applied Informatics, Victoria University, Australia

研究领域 Research Interests

Medical Data Mining 医疗大数据挖掘;Deep Learning 深度学习; Cloud Computing and Services Computing 云计算和服务计算

带学生情况 Students

部分研究生

吴圣尧  2017-2020 学硕研究生;北京邮电大学读博

彭丹丹  2018-2021 学硕研究生;广州大学院士和千人团队读博

     2020年江苏省研究生科研与实践创新计划奖学金;科创江北高价值专利大赛二等奖;

王逸琳  2019-2022 学硕研究生;苏州大学读博

     研究生国家奖学金;2021年江苏省研究生科研与实践创新计划奖学金;科创江北高价值专利大赛二等奖;

吴进   2020-2023 专硕研究生;华中科技大学读博

     研究生国家奖学金;一等奖学金;  

仲昭奕  2020-2023 学硕研究生;澳洲斯文本科技博士全额奖学金

      一等奖学金


部分本科生

虞千迪 保研华中科大、已发表学术论文、专利、软著若干、大创省级一般项目负责人 

朱均可 大创省级一般项目负责人,发表SCI论文,授权专利和软著,国防科大读研

叶堂华 互联网+ 校赛银奖负责人

徐凯茜和石雨欣 软件杯 国赛三等奖

梁馨月 大创省级一般项目负责人

王徐旸 省优秀毕设;香港中文大学读研


科研成果:

论文发表情况详见我的谷歌学术个人主页:https://scholar.google.com/citations?user=tLUOzV4AAAAJ&hl=zh-CN

近两年部分论文成果如下:

【1】L. Sun, C. Li, B. Liu and Y. Zhang, "Class-Driven Graph Attention Network for Multi-Label Time Series Classification in Mobile Health Digital Twins," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 10, pp. 3267-3278, Oct. 2023 (一区,CCF-A,我校T1)

【2】Le Sun, Yueyuan Wang, Yongjun Ren and Feng Xia, Path Signature-based XAI-enabled Network Time Series Classification, SCIENCE CHINA-INFORMATION SCIENCES, (一区,CCF-A,我校T1)

【3】L. Sun, C. Li, Y. Ren and Y. Zhang, "A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2024.3369064. (一区,CCF-B,我校T1)

【4】Le Sun, Huiyun Li, Ghulam Muhammad, A Metaverse text recognition model based on character-level contrastive learning, Applied Soft Computing, Volume 149, Part A, 2023, 110969. (一区,我校T1)

【5】L. Sun, R. Zhou, D. Peng, A. Bouguettaya and Y. Zhang, "Automatically Building Service-Based Systems with Function Relaxation," in IEEE Transactions on Cybernetics, vol. 53, no. 5, pp. 2703-2716, May 2023 (一区,CCF-B,我校T1)

【6】Le Sun, Wenzhang Dai, Ghulam Muhammad, Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting, Information Fusion, Volume 105, 2024, 102214. (一区)

【7】L. Sun, Q. Chen, M. Zheng, X. Ning, D. Gupta and P. Tiwari, "Energy-efficient Online Continual Learning for Time Series Classification in Nanorobot-based Smart Health," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3289992, 2023. (一区,CCF-C,我校T2)

【8】L. Sun, J. Liang, C. Zhang, D. Wu and Y. Zhang, "Meta-Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3250962. (一区,CCF-B,我校T2)

【9】L. Sun, M. Zhang, B. Wang and P. Tiwari, "Few-Shot Class-Incremental Learning for Medical Time Series Classification," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3247861.  (一区,CCF-C,我校T2)

【10】Le Sun, Jin Wu, Yang Xu, Yanchun Zhang, A federated learning and blockchain framework for physiological signal classification based on continual learning, Information Sciences, Volume 630, 2023, Pages 586-598.  (一区,CCF-B,我校T2)


部分项目:

1.      基于深度贝叶斯的医疗数据流异常预测,国家自然科学青年基金,主研,2018-2020

2.      省自然科学青年基金,主研,2017-2019

3.    人体生理信号实时监控和分析,55万,2021-2023

已授权七项发明专利,专利情况如下(部分):

1)一种员工亚健康监测系统(已授权)

2)一种自主构建医疗监测系统的方法(发明,已授权)

3)一种医疗感应数据流分类模型的构建方法(发明,已授权)

其他学术成就:

担任多个SCI期刊编委、副主编、客座编辑,部分如下:

  • Assotiate Editor: Health Information Science and Systems IF 6.0

  • Editor: BMC Bioinformatics  IF 4.3

  • Editor: Engineering Applications of Artificial Intelligence IF 7.8

  • Editor: EAI Endorsed Transactions on Scalable Information Systems EI期刊

  • Editor Board Member, BMC Medical Informatics and Decision Making. 5-year IF 3.394. 

  • Lead Guest Editor, International Journal of Distributed Sensor Networks, Special Issue: Smart E-healthcare 5.0 based on Wireless Medical Sensor Networks, Deadline: 2022.04. 5-year IF 1.64.

  • Lead Guest Editor, Scientific Programming, Special issue: Scientific Programming and Artificial Intelligence for Sensor Data Stream Analysis. Deadline: 2022.01. 5-year IF 1.025.

  • Guest Editor, Sensors, Special issue: Next generation sensing and cloud services

  • Lead Guest Editor, Journal of healthcare engineering, Special issue: Advanced Aritificial intelligence and machine learning techniques on Healthcare 5.0. Deadline: 2022.01. 5-year IF 2.682.

  • 担任CCF-C类国际会议APWEB2020 Publication Chair;

  • 担任CCF-B类国际会议IEEE SERVICES2020 Session Chair

  • 依托于ICAIS2019/2020会议,举办智慧医疗workshop,邀请国内外知名专家担任workshop的联合主席;

  • 2018.01-2018.12 赴密歇根州立大学访学一年。

教育经历

暂无内容

工作经历

暂无内容

社会兼职

  • 暂无内容

研究方向

  • 暂无内容
  • 其他联系方式

  • [6]  邮箱: 864457960@qq.com

  • 团队成员

    暂无内容