| Kurdyka-Lojasiewicz exponent via inf-projection P Yu, G Li, TK Pong Foundations of Computational Mathematics 22, 1171–1217, 2021 | 78* | 2021 |
| Analysis and algorithms for some compressed sensing models based on L1/L2 minimization L Zeng, P Yu, TK Pong SIAM Journal on Optimization 31 (2), 1576-1603, 2021 | 29 | 2021 |
| Convergence rate analysis of a sequential convex programming method with line search for a class of constrained difference-of-convex optimization problems P Yu, TK Pong, Z Lu SIAM Journal on Optimization 31 (3), 2024-2054, 2021 | 24 | 2021 |
| Iteratively reweighted ℓ1 algorithms with extrapolation P Yu, TK Pong Computational Optimization and Applications 73 (2), 353-386, 2019 | 21 | 2019 |
| Dropout enhanced bilevel training P Yu, J Li, H Huang The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
| Convergence analysis for a variant of manifold proximal point algorithm based on Kurdyka-{\L} ojasiewicz property P Yu, L Zeng, TK Pong arXiv preprint arXiv:2502.06183, 2025 | | 2025 |
| Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training R Shirkavand, Q He, P Yu, H Huang arXiv preprint arXiv:2502.03604, 2025 | | 2025 |
| Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models R Shirkavand, P Yu, S Gao, G Somepalli, T Goldstein, H Huang arXiv preprint arXiv:2412.15341, 2024 | | 2024 |
| Calculus of Kurdyka-Lojasiewicz exponents and its applications in the analysis of first-order methods P Yu Hong Kong Polytechnic University, 2021 | | 2021 |
| Adaptation of extrapolation techniques in the proximal gradient algorithm and an iteratively reweighted l₁ algorithm P Yu Hong Kong Polytechnic University, 2018 | | 2018 |
| Hybrid Fine-Tuning of LLMs: Theoretical Insights on Generalized Smoothness and Convergence S Ma, P Yu, H Huang | | |
| A Fast Federated Method for Minimax Problems with Sequential Convergence Guarantees P Yu, W Xian, H Huang | | |
| Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems P Yu, J Li, H Huang Transactions on Machine Learning Research, 0 | | |
Ting Kei Pong (龐鼎基)Professor, the Hong Kong Polytechnic Universitypolyu.edu.hk의 이메일 확인됨