A transductive framework of distance metric learning by spectral dimensionality reduction. - Fuxin Li; Jian Yang 016; Jue Wang (ICML, 2007)

Local peculiarity factor and its application in outlier detection. - Jian Yang 016; Ning Zhong 001; Yiyu Yao; Jue Wang 004 (KDD, 2008)

Peculiarity Analysis for Classifications. - Jian Yang 016; Ning Zhong 001; Yiyu Yao; Jue Wang 004 (ICDM, 2009)

Brain activation detection by neighborhood one-class SVM. - Jian Yang 016; Ning Zhong 001; Peipeng Liang; Jue Wang 004; Yiyu Yao; Shengfu Lu (Cogn. Syst. Res., 2010)

Record-level peculiarity-based data analysis and classifications. - Jian Yang 016; Ning Zhong 001; Yiyu Yao; Jue Wang 004 (Knowl. Inf. Syst., 2011)

A Naïve Hypergraph Model of Brain Networks. - Zhijiang Wang; Jiming Liu 001; Ning Zhong 001; Yulin Qin; Haiyan Zhou; Jian Yang 016; Kuncheng Li (Brain Informatics, 2012)

Local Tangent Distances for Classification Problems. - Jian Yang 016; Kexin Zhu; Ning Zhong 001 (Web Intelligence, 2012)

Local Peculiarity Oriented Data Mining and its Application in Outlier Detection. - Jian Yang 016; Ning Zhong 001; Yiyu Yao; Jue Wang 004 (Int. J. Inf. Technol. Decis. Mak., 2012)

A cluster-based sequential feature selection algorithm. - Kexin Zhu; Jian Yang 016 (ICNC, 2013)

Fast Marching Spanning Tree: An Automatic Neuron Reconstruction Method. - Ming Hao; Jian Yang 016; Xiaoyang Liu; Zhijiang Wan; Ning Zhong 001 (BIH, 2016)

An Automatic Neuron Tracing Method Based on Mean Shift and Minimum Spanning Tree. - Zhijiang Wan; Yishan He; Ming Hao; Jian Yang 016; Ning Zhong 001 (BIH, 2016)

M-AMST: an automatic 3D neuron tracing method based on mean shift and adapted minimum spanning tree. - Zhijiang Wan; Yishan He; Ming Hao; Jian Yang 016; Ning Zhong 001 (BMC Bioinform., 2017)

High-Order Functional Connectivity Network for Differential Diagnosis of Depression. - Jian Yang 016; Xu Mao; Ning Liu; Ning Zhong 001 (J. Medical Imaging Health Informatics, 2019)

FMST: an Automatic Neuron Tracing Method Based on Fast Marching and Minimum Spanning Tree. - Jian Yang 016; Ming Hao; Xiaoyang Liu; Zhijiang Wan; Ning Zhong 001; Hanchuan Peng (Neuroinformatics, 2019)

Retrieving similar substructures on 3D neuron reconstructions. - Jian Yang 016; Yishan He; Xuefeng Liu (Brain Informatics, 2020)

Probabilistic Embedding for Collaborative Reasoning. - Huanhuan Yuan; Jian Yang 016; Jiajin Huang; Ning Zhong 001 (WI/IAT, 2021)

Exploring highly reliable substructures in auto-reconstructions of a neuron. - Yishan He; Jiajin Huang; Gaowei Wu; Jian Yang 016 (Brain Informatics, 2021)

Classifying the tracing difficulty of 3D neuron image blocks based on deep learning. - Bin Yang; Jiajin Huang; Gaowei Wu; Jian Yang 016 (Brain Informatics, 2021)

Nested U-Net Architecture Based Image Segmentation for 3D Neuron Reconstruction. - Jian Yang 016; Yong Zhang; Yuanlin Yu; Ning Zhong 001 (J. Medical Imaging Health Informatics, 2021)

Improving hypergraph convolution network collaborative filtering with feature crossing and contrastive learning. - Huanhuan Yuan; Jian Yang 016; Jiajin Huang (Appl. Intell., 2022)

M2GCF: A multi-mixing strategy for graph neural network based collaborative filtering. - Jianan Xu; Jiajin Huang; Jian Yang 016; Ning Zhong 001 (Web Intell., 2023)

TFCSRec: Time-frequency consistency based contrastive learning for sequential recommendation. - Yadong Xiao; Jiajin Huang; Jian Yang 016 (Expert Syst. Appl., 2024)

HFNF: learning a hybrid Fourier neural filter with a heterogeneous loss for sequential recommendation. - Yadong Xiao; Jiajin Huang; Jian Yang 016 (Appl. Intell., 2024)

HyNCF: A hybrid normalization strategy via feature statistics for collaborative filtering. - Jianan Xu; Jiajin Huang; Jianwei Zhao 004; Jian Yang 016 (Expert Syst. Appl., 2024)

Disentangled Variational Autoencoder for Social Recommendation. - Yongshuai Zhang; Jiajin Huang; Jian Yang 016 (Neural Process. Lett., 2024)

Contrastive learning with adversarial masking for sequential recommendation. - Rongzheng Xiang; Jiajin Huang; Jian Yang 016 (Electron. Commer. Res. Appl., 2025)