Li Jing

talks---li-jing

Research Area
  • Data Privacy
  • Fairness Learning
  • Robustness

Award

  • UTS FEIT PhD Post-Thesis Scholarship, 2022 
  • A*STAR Research Attachment Programme Scholarship, 2022

Publications

1. Jing Li, Yuangang Pan, Yulei Sui, and Ivor W. Tsang, “Secure Metric Learning via Differential Pairwise Privacy,” IEEE Transactions on Information Forensics and Security, vol. 15, pp. 3640-3652, 2020.

2. Feiping Nie, Jing Li, and Xuelong Li, “Self-Weighted Multiview Clustering with Multiple Graphs,”  International Joint Conference on Artificial Intelligence, pp. 2564-2570, 2017.

3. Feiping Nie, Jing Li, and Xuelong Li, “Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification,” International Joint Conference on Artificial Intelligence, pp. 1881-1887, 2016.

Research Services

  • TNNLS Reviewer
  • ICLR 2022 reviewer