陈娟

个人简介

陈娟,博士毕业于西南交通大学,现为西华大学beat365唯一官网app硕士生导师。从事深度学习和深度强化学习在边缘计算、云计算以及时间序列预测等相关领域的科研教学工作。近年来,在《IEEE Internet of Things Journal》、《IEEE Communications Letters》、《Journal of cloud computing》、《IEEE Photonics Journal》、《Applied Sciences》等刊物上,以及IEEE ICC、IEEE ICWS、IEEE HPCC等国际会议上,公开发表学术论文16余篇。主持并参与四川省科技厅、校人才引进、企事业单位委托等各类项目共7项。四川省2022年度优秀物联网教师,中国人工智能学会会员,中国计算机学会会员,四川省物联网联盟编委会成员。

工作经历

西华大学beat365唯一官网app 专职教师国家能源集团 LTE铁路通信主管

教育经历

西南交通大学,信息科学与技术学院,信息与通信工程 ,博士

研究方向


1. 机器学习有关的人工智能优化;

2. 深度学习

3. 深度强化学习

4. 边缘计算

5. 云计算

6. 时间序列异常检测

学术成果

代表性论文如下(*为通讯作者)

[11]Yujia Song, Ruyue Xin, Peng Chen*, Rui Zhang, Juan Chen, Zhiming Zhao.Identifying Performance Anomalies in Fluctuating Cloud Environments: A Robust Correlative-GNN-based Explainable Approach.Future Generation Computer Systems.Vol.145, 77-86,2023.

[10]Rui Zhang, Juan Chen共一作者), Wenyu Shan, Yujia Song, Peng Chen*, Yunni Xia.An Effective Transformation-Encoding-Attention Framework for Multivariate Time Series Anomaly Detection in IoT Environment.Mobile Networks and Applications(2023). https://doi.org/1 10.1007/S11036-023-02204-9

[9]Sibo Qi, Juan Chen(共一作者), Peng Chen*,  Peian Wen, Xianhua Niu & Lei Xu. An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers. The Journal of Supercomputing (2023). https://doi.org/10.1007/s11227-023-05534-3

[8] Sibo Qi, Juan Chen(共一作者), Peng Chen*,  Peian Wen, Wenyu Shan, and Ling Xiong*. An Effective WGAN-based Anomaly Detection Model for IoT Multivariate Time Series. PAKDD 2023. pp. 1-12.

[8] Juan Chen, Zongling Wu, Lei Wu*, Yunni Xia*,Yang Wang, Ling Xiong, Canghong Shi. Hybrid Decision Based Multi-Agent Deep Reinforcement learning for Task Offloading in Collaborative Edge-Cloud Computing. HPCC2022, pp. 1-8. 

[7] Rui Zhang, Juan Chen(共一作者), Yujia Song, Wenyu Shan, Peng Chen*, and Yunni Xia*. A Novel Unsupervised Anomaly Detection Approach using Neural Transformation in Cloud Environment. CLOUD 2022. pp. 1-9. 

[6] Peian Wen, Zhenyu Yang, Lei Wu*, Sibo Qi, Juan Chen*. An Unsupervised Convolutional Adversarial Anomaly Detection Model for IoT Data Infrastructure. HPCC2022, pp. 1-6.  

[5] Juan Chen, Peng Chen*, Xianhua Niu, Zonglign Wu, Ling Xiong, Canghong Shi. Task Offloading in Hybrid-decision-based Multi-cloud Computing Network: a Cooperative Multi-agent Deep Reinforcement Learning. Journal of Cloud Computing. 2022. 11(90), pp. 1-16. DOI:10.1186/s13677-022-00372-9. 

[4]Juan Chen, Huanlai Xing*, Zhiwen Xiao, Lexi Xu, Tao Tao. A DRL agent for jointly optimizing computation offloading and  resource allocation in MEC. IEEE Internet of Things Journal, 2021, 8(24):17508-17524. 

[3]Juan Chen, Zongling Wu*. Dynamic Computation offloading with Energy Harvesting Devices: A Graph-based Deep Reinforcement Learning Approach, IEEE Communications Letters, 2021, 25(9): 2968-2972.  

[2] Juan Chen, Zhiwen Xiao, Huanlai Xing*, Penglin Dai, Shouxi Luo and Muhammad Azhar Iqbal. STDPG: A spatio-temporal deterministic policy gradient agent for dynamic routing in SDN. IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020: 1-6.  

[1] JuanChen, Huanlai Xing*, Hai Yang, Lexi Xu. Network traffic prediction based on LSTM networks with genetic algorithm. International Conference on Signal and Information Processing, Networking and Computers (ICSINC), 2019, 550: 411-419.


主持/参与的科研项目:

四川省科技厅“基于深度强化学习的多目标计算卸载与多跳卸载传输机制研究(2023JDRC0087)”(主持)

教育部春晖计划“面向工业互联网的智能边缘计算任务卸载关键技术研究(HZKY20220578)”(主持)

校人才引进 面向SDN的边缘计算任务调度机制研究(RX2200001976(主持)

企事业委托 “地质灾害预警检测大数据处理(222138)”(主持)

企事业委托 高可信跨云边端城市交通应急信息服务平台系统设计及原型开发222397(主研)

企事业委托 路侧停车检测算法及原型系统开发222133(主研)

企事业委托 在线法律咨询与电子文书数据预处理222132(主研)






欢迎有上进心与科研热情、数学与编程基础扎实,对云计算、边缘计算等相关领域感兴趣的本科生、硕士生同学加入课题组。有意向的同学请邮件联系: chenjuan@mail.xhu.edu.cn


 



教学工作

NoSQL数据库系统设计

软件项目管理


荣誉奖励

社会兼职

四川省物联网联盟编委会成员

中国人工智能学会会员

中国计算机学会会员



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