Jingjing Zheng(郑晶晶)
Scholar

Jingjing Zheng(郑晶晶)

Google Scholar ID: vgPWqLkAAAAJ
Department of Mathematics, University of British Columbia
tensor recoverydeep learningcomputer vision
Citations & Impact
All-time
Citations
179
 
H-index
6
 
i10-index
6
 
Publications
20
 
Co-authors
5
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Two papers accepted to NeurIP 2025, with one co-authored paper, “Differentiable Decision Tree via ‘ReLU+Argmin’ Reformulation,” selected for a spotlight presentation
  • - Paper “Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework” accepted to ECCV 2024
  • - Paper “Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery” accepted to The Second Tiny Papers Track at ICLR 2024
  • - Awarded The Borealis AI 2023 Fellowship (awarded to ten AI researchers from across Canada)
  • - Received Chinese Government Award for Outstanding Self-financed Students Abroad (2022), 2023
Research Experience
  • - Visiting Student at ZERO Lab, Peking University, Beijing, China, Advisor: Prof. Zhouchen Lin, May 2024 - Sep 2024
  • - Research Intern at Nasdaq, NL, Canada, Advisor: John Hawkin, May 2022 - Sep 2022
Education
  • Pursuing a Ph.D. in Mathematics at the University of British Columbia since 2023, under the supervision of Prof. Yankai Cao.
Background
  • Current research interests include low-rank and sparse representation learning, explainable deep neural networks and their mathematical foundation, optimization in machine learning, as well as compression and fine-tuning of large models.
Miscellany
  • Appointed to the UBC Green College Academic Committee, 2025–2026.