Fuwei Li

Contact

Education

Ph.D. in Electrical and Computer Engineering

University of California, Davis | 2021

  • Dissertation: “On the Adversarial Robustness of Machine Learning Algorithms”
  • Advisors: Lifeng Lai and Shuguang Cui

M.Sc. in Electrical Engineering

University of Electronic Science and Technology of China | 2015

  • Dissertation: “Bayesian Compressive Sensing: Theory and Algorithm”
  • Advisor: Jun Fang

B.Sc. in Electrical Engineering

University of Electronic Science and Technology of China | 2012

Publications

Monograph

Machine Learning Algorithms Book Cover
  • Fuwei Li, Lifeng Lai, and Shuguang Cui. Machine Learning Algorithms: Adversarial Robustness in Signal Processing. Springer Nature, November 2022

Selected Papers

  • Fuwei Li, Lifeng Lai, and Shuguang Cui. “Feature selection based on Wasserstein distance.” arXiv preprint arXiv:2411.07217, November 2024. https://arxiv.org/abs/2411.07217

  • Fuwei Li, Lifeng Lai, and Shuguang Cui. “On the adversarial robustness of LASSO based feature selection.” IEEE Transactions on Signal Processing, 69:5555–5567, October 2021

  • Fuwei Li, Lifeng Lai, and Shuguang Cui. “Optimal feature manipulation attacks against linear regression.” IEEE Transactions on Signal Processing, 69:5580–5594, September 2021

  • Ying Li, Fuwei Li, Lifeng Lai, and Jun Wu. “On the adversarial robustness of principal component analysis.” In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pages 3695–3699, Toronto, Canada, June 2021

  • Fuwei Li, Lifeng Lai, and Shuguang Cui. “On the adversarial robustness of linear regression.” In Proc. IEEE International Workshop on Machine Learning for Signal Processing, pages 1–6, Espoo, Finland, September 2020

  • Fuwei Li, Lifeng Lai, and Shuguang Cui. “On the adversarial robustness of feature selection using LASSO.” In Proc. IEEE International Workshop on Machine Learning for Signal Processing, pages 1–6, Espoo, Finland, September 2020

  • Fuwei Li, Lifeng Lai, and Shuguang Cui. “On the adversarial robustness of subspace learning.” IEEE Transactions on Signal Processing, 68:1470–1483, March 2020

  • Fuwei Li, Lifeng Lai, and Shuguang Cui. “On the adversarial robustness of subspace learning.” In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pages 2477–2481, Brighton, UK, May 2019

  • Xianbing Zou, Fuwei Li, Jun Fang, and Hongbin Li. “Computationally efficient sparse bayesian learning via generalized approximate message passing.” In Proc. IEEE International Conference on Ubiquitous Wireless Broadband, pages 1–4, Nanjing, China, October 2016

  • Fuwei Li, Jun Fang, Hongbin Li, and Lei Huang. “Robust one-bit bayesian compressed sensing with sign-flip errors.” IEEE Signal Processing Letters, 22(7):857–861, July 2014

  • Jun Fang, Yanning Shen, Fuwei Li, Hongbin Li, and Zhi Chen. “Support knowledge-aided sparse bayesian learning for compressed sensing.” In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pages 3786–3790, Brisbane, Australia, April 2015

  • Jun Fang, Yanning Shen, Fuwei Li, and Hongbin Li. “One-bit quantization design and adaptive methods for compressed sensing.” In Proc. IEEE Wireless Communications and Network Conference, Orleans, LA, March 2015

Review Activities

  • IEEE Transactions on Information Forensics & Security

  • EURASIP Journal on Advances in Signal Processing

  • IEEE Transactions on Signal and Information Processing over Networks

  • Computers & Security

  • IEEE Transactions on Mobile Computing

  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

  • International Joint Conference on Neural Networks (IJCNN)

  • IEEE International Workshop on Machine Learning for Signal Processing (MLSP)