activity
20172025
most citedSPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning

6 citations · 13 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.LG2025

Non-Rival Data as Rival Products: An Encapsulation-Forging Approach for Data Synthesis

Kaidong Wang, Jiale Li, Shao-Bo Lin +1

The non-rival nature of data creates a dilemma for firms: sharing data unlocks value but risks eroding competitive advantage. Existing data synthesis methods often exacerbate this…

cs.LG2025

A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation

Yiyang Yang, Xiejian Chi, Shanxing Gao +2

Data quality is critical to Intelligent Transportation Systems (ITS), as complete and accurate traffic data underpin reliable decision-making in traffic control and management. Rec…

cs.LG2025

Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach

Yao Wang, Yiyang Yang, Kaidong Wang +2

We consider the problem of matrix completion with graphs as side information depicting the interrelations between variables. The key challenge lies in leveraging the similarity str…

cs.LG2023

Tensor Completion Leveraging Graph Information: A Dynamic Regularization Approach with Statistical Guarantees

Kaidong Wang, Qianxin Yi, Yao Wang +3

We consider the problem of tensor completion with graphs serving as side information to represent interrelationships among variables. Existing approaches suffer from several limita…

cs.LG2021

Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions

Qianxin Yi, Chenhao Wang, Kaidong Wang +1

Low-tubal-rank tensor approximation has been proposed to analyze large-scale and multi-dimensional data. However, finding such an accurate approximation is challenging in the strea…

cs.LG2021

Universal Consistency of Deep Convolutional Neural Networks

Shao-Bo Lin, Kaidong Wang, Yao Wang +1

Compared with avid research activities of deep convolutional neural networks (DCNNs) in practice, the study of theoretical behaviors of DCNNs lags heavily behind. In particular, th…

cs.LG2018★ 2 cited

Understanding Self-Paced Learning under Concave Conjugacy Theory

Shiqi Liu, Zilu Ma, Deyu Meng

By simulating the easy-to-hard learning manners of humans/animals, the learning regimes called curriculum learning~(CL) and self-paced learning~(SPL) have been recently investigate…