CONFERENCE PAPERS

  1. Hengmin Zhang, W Luo, W Du, J Qian, J Yang, and B Zhang. Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization[C]. International Conference on Image and Graphics (ICIG), 2021: 106-119.
  2. Hengmin Zhang, W Du, Z Li, X Liu, J Long, and F Qian. Nonconvex Rank Relaxations based Matrix Regression for Face Reconstruction and Recognition[C]. China Automation Congress (CAC), 2020: 2335-2340.
  3. Hengmin Zhang, W Du, X Liu, B Zhang, and F Qian. Factored Trace Lasso based Linear Regression Methods: Optimizations and Applications[C]. International Conference on Cognitive Systems and Information Processing (ICCSIP), 2020, 121-130.
  4. Hengmin Zhang, W Luo, J Yang, and L Luo. Locality-constrained Group Sparse Coding Regularized NMR for Robust Face Recognition[C]. IEEE Asian Conference on Pattern Recognition (ACPR), 2015: 740-744.
  5. C Gong, Hengmin Zhang, J Yang, and D Tao. Learning with Inadequate and Incorrect Supervision[C]. IEEE International Conference on Data Mining (ICDM), 2017: 889-894.
  6. X Mo, T Wei, Hengmin Zhang, Q Huang, and W Luo. Label-Smooth Learning for Fine-Grained Visual Categorization[C]. IEEE Asian Conference on Pattern Recognition (ACPR), 2019: 17-41.  Code