Lin, Xiaojun

9 publications

L4DC 2025 A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks Saptarshi Mandal, Xiaojun Lin, Rayadurgam Srikant

ICML 2025 Quantum Algorithms for Finite-Horizon Markov Decision Processes Bin Luo, Yuwen Huang, Jonathan Allcock, Xiaojun Lin, Shengyu Zhang, John C.S. Lui

TMLR 2024 SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery Ajinkya K Mulay, Xiaojun Lin

ICML 2023 SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching Liren Yu, Jiaming Xu, Xiaojun Lin

NeurIPS 2022 On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model Peizhong Ju, Xiaojun Lin, Ness Shroff

JMLR 2021 Graph Matching with Partially-Correct Seeds Liren Yu, Jiaming Xu, Xiaojun Lin

ICML 2021 On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models Peizhong Ju, Xiaojun Lin, Ness Shroff

CVPR 2021 Student-Teacher Learning from Clean Inputs to Noisy Inputs Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan

NeurIPS 2020 Overfitting Can Be Harmless for Basis Pursuit, but Only to a Degree Peizhong Ju, Xiaojun Lin, Jia Liu