Lai Tian

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Feature Selection

Subspace Learning

Principal Components

Karush Kuhn Tucker

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Lai Tian, Anthony Man-Cho So
Testing Stationarity Concepts for ReLU Networks: Hardness, Regularity, and Robust Algorithms. CoRR (2023)
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
Learning Feature-Sparse Principal Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Lai Tian, Anthony Man-Cho So
Computing D-Stationary Points of ρ-Margin Loss SVM. AISTATS (2022)
Feiping Nie, Xia Dong, Lai Tian, Rong Wang, Xuelong Li
Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. AISTATS (2022)
Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li
Subspace Sparse Discriminative Feature Selection. IEEE Trans. Cybern. 52 (6) (2022)
Lai Tian, Kaiwen Zhou, Anthony Man-Cho So
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions. ICML (2022)
Ke Wang, Jinfeng Liu, Lai Tian, Xianfeng Tan, Guansheng Peng, Tianwen Qin, Jun Wu
Analyzing vulnerability of optical fiber network considering recoverability. Reliab. Eng. Syst. Saf. 221 (2022)
Feiping Nie, Lai Tian, Heng Huang, Chris Ding
Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. 30 (2021)
Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. CoRR (2021)
Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. IJCAI (2020)
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
Multiview Semi-Supervised Learning Model for Image Classification. IEEE Trans. Knowl. Data Eng. 32 (12) (2020)
Lai Tian, Feiping Nie, Rong Wang, Xuelong Li
Learning Feature Sparse Principal Subspace. NeurIPS (2020)
Lai Tian, Feiping Nie, Xuelong Li
A Unified Weight Learning Paradigm for Multi-view Learning. AISTATS (2019)
Lai Tian, Feiping Nie, Xuelong Li
Learning Feature Sparse Principal Components. CoRR (2019)
Feiping Nie, Lai Tian, Xuelong Li
Multiview Clustering via Adaptively Weighted Procrustes. KDD (2018)
Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li
A Comprehensive Survey for Low Rank Regularization. CoRR (2018)