• PROJECTS

    Past and ongoing projects:

    Person-post matching based on deep learning

    Internship Project at MoSeeker : Using Deep Learning to Replace Humans for Match Analysis of Job Candidates' Resumes and Job Information.

    IPv6 network traffic analysis and prediction

    Project with Cernet: I analyzed the characteristics of IPv6 traffic usage in Shanghai universities, and designed a more efficient IPv6 traffic prediction model.

    Human Activity Recognition using Federated Learning

    Project with BirenTech: I designed a deep learning model for the human activity recognition problem, and used federated learning to train the model to ensure data privacy.

    Detection of Users’ Stances of Health QR Code on Social Media

    Project with Shanghai Artificial Intelligence Laboratory: I crawled social information about Health QR Code in Sina Weibo, and reflected the public's evaluation of Health QR Code through sentiment analysis and user statistics.

  • PUBLICATION

    CloudyFL: A Cloudlet-Based Federated Learning Framework for Sensing User Behavior Using Wearable Devices

    Qingyuan Gong, Hui Ruan, Yang Chen*, Xiang Su

    Proc. of 6th International Workshop on Embedded and Mobile Deep Learning (EMDL), Portland, OR, USA, July 2022.

    https://doi.org/10.1145/3539491.3539592

    Analysis and Prediction of the IPv6 Traffic over Campus Networks in Shanghai

    Zhiyang Sun, Hui Ruan, Yixin Cao, Yang Chen*, Xin Wang

    Future Internet 2022, 14(12), 353.

    https://doi.org/10.3390/fi14120353

    Poster: A Privacy-preserving Heart Rate Prediction System for Drivers in Connected Vehicles

    Hui Ruan, Qingyuan Gong*, Yang Chen, Jiong Chen, Ziyue Li, Xiang Su

    Proc. of MobiSys, Finland, June 2023.

    https://doi.org/10.1145/3581791.3597364

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