Lai Tian

According to our database, Lai Tian authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Testing Approximate Stationarity Concepts for Piecewise Affine Functions.

Lai Tian, Anthony Man-Cho So

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2024

No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians.

Lai Tian, Anthony Man-Cho So

Math. Program., November, 2024

2023

Learning Feature-Sparse Principal Subspace.

Feiping Nie, Lai Tian, Rong Wang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms.

Lai Tian, Anthony Man-Cho So

CoRR, 2023

2022

Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph.

Feiping Nie, Xia Dong, Lai Tian, Rong Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Subspace Sparse Discriminative Feature Selection.

Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li

IEEE Trans. Cybern., 2022

Analyzing vulnerability of optical fiber network considering recoverability.

Ke Wang, Jinfeng Liu, Lai Tian, Xianfeng Tan, Guansheng Peng, Tianwen Qin, Jun Wu

Reliab. Eng. Syst. Saf., 2022

On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions.

Lai Tian, Kaiwen Zhou, Anthony Man-Cho So

Proceedings of the International Conference on Machine Learning, 2022

Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums.

Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Computing D-Stationary Points of ρ-Margin Loss SVM.

Lai Tian, Anthony Man-Cho So

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Non-Greedy L21-Norm Maximization for Principal Component Analysis.

Feiping Nie, Lai Tian, Heng Huang, Chris Ding

IEEE Trans. Image Process., 2021

2020

Multiview Semi-Supervised Learning Model for Image Classification.

Feiping Nie, Lai Tian, Rong Wang, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2020

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.

Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Learning Feature Sparse Principal Components.

Lai Tian, Feiping Nie, Xuelong Li

CoRR, 2019

A Unified Weight Learning Paradigm for Multi-view Learning.

Lai Tian, Feiping Nie, Xuelong Li

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Comprehensive Survey for Low Rank Regularization.

Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li

CoRR, 2018

Multiview Clustering via Adaptively Weighted Procrustes.

Feiping Nie, Lai Tian, Xuelong Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018