Lai Tian

20 papers A* 5A 3Journal 12
YearRankTypeTitle / Venue / Authors
2025 A* conf
Testing Approximate Stationarity Concepts for Piecewise Affine Functions.
SODA
Lai Tian, Anthony Man-Cho So
2025 J jnl
Unsupervised Discriminative Feature Selection With $\ell _{2,0}$ℓ2,0-Norm Constrained Sparse Projection.
IEEE Trans. Pattern Anal. Mach. Intell.
Xia Dong, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2024 J jnl
No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians.
Math. Program.
Lai Tian, Anthony Man-Cho So
2023 J jnl
Learning Feature-Sparse Principal Subspace.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2023 J jnl
Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms.
CoRR
Lai Tian, Anthony Man-Cho So
2022 J jnl
Analyzing vulnerability of optical fiber network considering recoverability.
Reliab. Eng. Syst. Saf.
Ke Wang, Jinfeng Liu, Lai Tian, Xianfeng Tan, Guansheng Peng, Tianwen Qin, Jun Wu
2022 A conf
Computing D-Stationary Points of ρ-Margin Loss SVM.
AISTATS
Lai Tian, Anthony Man-Cho So
2022 A* conf
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions.
ICML
Lai Tian, Kaiwen Zhou, Anthony Man-Cho So
2022 A conf
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums.
AISTATS
Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
2022 J jnl
Subspace Sparse Discriminative Feature Selection.
IEEE Trans. Cybern.
Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li
2022 J jnl
Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Xia Dong, Lai Tian, Rong Wang, Xuelong Li
2021 J jnl
Non-Greedy L21-Norm Maximization for Principal Component Analysis.
IEEE Trans. Image Process.
Feiping Nie, Lai Tian, Heng Huang, Chris Ding
2021 J jnl
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums.
CoRR
Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
2020 A* conf
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.
IJCAI
Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2020 A* conf
Learning Feature Sparse Principal Subspace.
NeurIPS
Lai Tian, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Multiview Semi-Supervised Learning Model for Image Classification.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2019 A conf
A Unified Weight Learning Paradigm for Multi-view Learning.
AISTATS
Lai Tian, Feiping Nie, Xuelong Li
2019 J jnl
Learning Feature Sparse Principal Components.
CoRR
Lai Tian, Feiping Nie, Xuelong Li
2018 J jnl
A Comprehensive Survey for Low Rank Regularization.
CoRR
Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li
2018 A* conf
Multiview Clustering via Adaptively Weighted Procrustes.
KDD
Feiping Nie, Lai Tian, Xuelong Li