A unified sample selection framework for output noise filtering: an error-bound perspective

Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang

The existence of output noise will bring difficulties to supervised learning. Noise filtering,aiming to detect and remove polluted samples, is one of the main ways to deal with the noise on outputs.

Journal of Machine Learning Research, 2021, 22, 1-66.

Enhanced group sparse regularized nonconvex regression for face recognition

Chao Zhang, Huaxiong Li, Chunlin Chen, Yuhua Qian, Xianzhong Zhou

Regression analysis based methods have shown strong robustness and achieved great success in face recognition. In these methods, convex l1-norm and nuclear norm are usually utilized to approximate the l0-norm and rank function.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, In Press

Evolutionary Deep Fusion Method and Its Application in Chemical Structure Recognition

Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang

Abstract—Feature extraction is a critical issue in many machine learning systems. A number of basic fusion operators have been proposed and studied. This paper proposes an evolutionary algorithm, called evolutionary deep fusion ...

IEEE Transactions on Evolutionary Computation, 2021, Accepted

Edge-dependent Efficient Grasp Rectangle Search in Robotic Grasp Detection

Lu Chen, Panfeng Huang, Yuanhao Li, Zhongjie Meng

In this paper, we propose an edge-based grasp detection strategy, which combines low-level features and a lightweight convolutional neural network (CNN).

IEEE/ASME Transactions on Mechatronics

A balanced total-variation-Chambolle-Pock algorithm for EPR imaging

Zhiwei Qiao, Gage Redler, Boris Epel, Howard Halpern

Total variation (TV) minimization algorithm is an effective algorithm capable of accurately reconstructing images from sparse projection data in a variety of imaging modalities including computed tomography (CT) ...

Journal of Magnetic Resonance, 2021, 328: 107009

Noise-tolerant fuzzy β covering based multigranulation rough sets and feature subset selection

Zhehuang Huang, Jinjin Li, and Yuhua Qian

As a novel fuzzy covering, fuzzy β covering has attracted considerable attention. However, traditional fuzzy β covering based rough sets and most of its extended models can not well fit the distribution of samples in real data.

IEEE Transactions on Fuzzy Systems,2021