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Hui Liu

Assistant Professor · College of Engineering

Michigan State University · United States
Trustworthy AI

简介

Hui Liu received her PhD degree in Electrical Engineering from Southern Methodist University in 2015. Her research interests include trustworthy AI, designing data mining algorithms for wireless communication of smart devices, and applying machine learning and data mining in wireless communications. She has more than 7-year research experience in data science on mobile data.

教育经历

  • Ph.D., Southern Methodist University
  • M.S., Beijing Institute of Technology
  • B.S., Beijing Institute of Technology

代表成果

  • Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen and Jiliang Tang. "Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection", In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021
  • Zhiwei Wang, Hui Liu, Gale Yan Huang and Zitao Liu. "Sequence Learning with Side Dependencies?", Proceedings of IEEE DSAA, October 2020.
  • Tian Xie, Guan-Hua Tu, Bangjie Yin, Chi-Yu Li, Chunyi Peng, Mi Zhang, Hui Liu, Xiaoming Liu. "The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures".
  • "IEEE Transactions on Mobile Computing, May 2020.", Hui Liu, Jialin He, Sabyasachi Gupta, Dinesh Rajan and Joseph Camp. "FIT: On-the-Fly, In-Situ Training for SNR-Based Rate Selection", IEEE Transactions on Vehicular Technology, 2019.
  • "Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain. "Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。