Papers

1. Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min.
   Hyperbolic Contrastive Learning for Cross-Domain Recommendation
   CIKM ‘24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 21 October 2024.
2. Z. Lai, A. Yoshise.
   Riemannian Interior Point Methods for Constrained Optimization on Manifolds
   J Optim Theory Appl 201, 433–469 (2024).
3. Z. Lai, A. Yoshise.
   Completely positive factorization by a Riemannian smoothing method
   Comput Optim Appl 83, 933–966 (2022).

Thesis

1. PhD Thesis: Z. Lai.
   Riemannian Optimization Algorithms for Applications and Their Theoretical Properties
   (2024).
2. Master Thesis: Z. Lai.
   A New Method for Completely Positive Matrix Factorization
   (2021).