Computational model of response maps in the dorsal cochlear nucleus. - Xiaohan Zheng; Herbert F. Voigt (Biol. Cybern., 2006)

Automatic textual Knowledge Extraction based on Paragraph Constitutive Relations. - Zuquan Peng; Huazhu Song; Baihan Kang; Babatounde Moctard Oloulade; Miao He; Xiaohan Zheng (ICSAI, 2019)

Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction. - Li Zhang 004; Qing-Qing Pang; Zhiqiang Xu; Xiaohan Zheng (ICONIP (5), 2020)

Feature Selection Using Sparse Twin Bounded Support Vector Machine. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (ICONIP (2), 2020)

Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (KSEM (1), 2020)

Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine. - Li Zhang 004; Xiaohan Zheng; Zhiqiang Xu (NCAA, 2020)

Sample Reduction Using ℓ 1-Norm Twin Bounded Support Vector Machine. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (NCAA, 2021)

Fast Gaussian kernel support vector machine recursive feature elimination algorithm. - Li Zhang 004; Xiaohan Zheng; Qing-Qing Pang; Weida Zhou (Appl. Intell., 2021)

CTSVM: A robust twin support vector machine with correntropy-induced loss function for binary classification problems. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (Inf. Sci., 2021)

Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction. - Xiaohan Zheng; Li Zhang 004; Zhengqi Zhang (IJCNN, 2022)

Radio Frequency Fingerprint Identification Based on Logarithmic Power Cosine Spectrum. - Jingbo Zhang 001; Qingwen Wang 003; Xiaochen Guo; Xiaohan Zheng; Da Liu (IEEE Access, 2022)

Deeper multi-column dilated convolutional network for congested crowd understanding. - Leilei Yan; Li Zhang 004; Xiaohan Zheng; Fanzhang Li (Neural Comput. Appl., 2022)

Sparse discriminant twin support vector machine for binary classification. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (Neural Comput. Appl., 2022)

Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. - Leilei Yan; Fanzhang Li; Xiaohan Zheng; Li Zhang 004 (CIKM, 2023)

DDFormer: A Dual-Domain Transformer for Building Damage Detection Using High-Resolution SAR Imagery. - Tianyang Li; Chao Wang 004; Hong Zhang 001; Fan Wu 001; Xiaohan Zheng (IEEE Geosci. Remote. Sens. Lett., 2023)

L1-norm Laplacian support vector machine for data reduction in semi-supervised learning. - Xiaohan Zheng; Li Zhang 004; Zhiqiang Xu (Neural Comput. Appl., 2023)

Discriminant space metric network for few-shot image classification. - Leilei Yan; Fanzhang Li; Li Zhang 004; Xiaohan Zheng (Appl. Intell., 2023)

Adaptive High Coherence Temporal Subsets SBAS-InSAR in Tropical Peatlands Degradation Monitoring. - Xiaohan Zheng; Chao Wang 004; Yixian Tang; Hong Zhang 001; Tianyang Li; Lichuan Zou; Shaoyang Guan (Remote. Sens., 2023)

Local dual-graph discriminant classifier for binary classification. - Xiaohan Zheng; Li Zhang 004; Leilei Yan (Neurocomputing, 2024)

Deep feature network with multi-scale fusion for highly congested crowd counting. - Leilei Yan; Li Zhang 004; Xiaohan Zheng; Fanzhang Li (Int. J. Mach. Learn. Cybern., 2024)

Semi-supervised regression with label-guided adaptive graph optimization. - Xiaohan Zheng; Li Zhang 004; Leilei Yan; Lei Zhao 001 (Appl. Intell., 2024)

A cell-interacting and multi-correcting method for automatic circulating tumor cells detection. - Xuan Zhang; Rensheng Lai; Ling Bai; Jianxin Ji; Ruihao Qin; Lihong Jiang; Bin Meng; Ying Zhang; Xiaohan Zheng; Yan Wang; Xiang Kui; Liuchao Zhang; et al. (Artif. Intell. Medicine, 2025)

FMFI: Transformer based four branches multi-granularity feature integration for person Re-ID. - Xiaohan Zheng; Jian Lu; Jiahui Xing; Kaibing Zhang (Expert Syst. Appl., 2025)

A robust semi-supervised regressor with correntropy-induced manifold regularization and adaptive graph. - Xiaohan Zheng; Li Zhang 004; Leilei Yan; Lei Zhao 001 (Neural Networks, 2025)

Contrastive prototype loss based discriminative feature network for few-shot learning. - Leilei Yan; Feihong He; Xiaohan Zheng; Li Zhang; Yiqi Zhang; Jiangzhen He; Weidong Du; Yansong Wang; Fanzhang Li (Appl. Intell., 2025)

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. - Xiaohan Zheng; Lanning Wei; Yong Li 008; Quanming Yao (CoRR, 2025)

Radio Frequency Fingerprint Identification of GMSK Modulated Signals Based on Eye Diagram Traces Deviation. - Jingbo Zhang 001; Xiaohan Zheng; Qingshuo Liu; Rongwen Lin (IEEE Trans. Veh. Technol., 2025)