Least-Squares Regulation Based Graph Embedding. - Si-Xing Liu; Timothy Apasiba Abeo; Xiang-jun Shen (PCM (1), 2017)

Building kernelized canonical correlation ensemble for dimensionality reduction. - XiaoZhen Luo; Xiang-jun Shen; Timothy Apasiba Abeo (ICIMCS, 2018)

Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework. - Ernest Domanaanmwi Ganaa; Timothy Apasiba Abeo; Sumet Mehta; Heping Song; Xiang-Jun Shen (ICIG (3), 2019)

Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery. - Yuxuan Wang; Timothy Apasiba Abeo; Liangjun Wang; Dickson Keddy Wornyo; Xiang-Jun Shen (ICIG (3), 2019)

Manifold Alignment with Multi-graph Embedding. - Changbin Huang; Timothy Apasiba Abeo; Xiangjun Shen (MMAsia, 2019)

Manifold Alignment via Global and Local Structures Preserving PCA Framework. - Timothy Apasiba Abeo; Xiangjun Shen; Ernest Domanaanmwi Ganaa; Qian Zhu 003; Bing-Kun Bao; Zheng-Jun Zha (IEEE Access, 2019)

Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings. - Timothy Apasiba Abeo; Xiangjun Shen; Jianping Gou; Qirong Mao; Bing-Kun Bao; Shuying Li (IET Comput. Vis., 2019)

Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification. - Xiang-Jun Shen; XiaoZhen Luo; Timothy Apasiba Abeo; Yang Yang 046; Xi Shao; Shuying Li (IEEE Geosci. Remote. Sens. Lett., 2019)

A generalized multi-dictionary least squares framework regularized with multi-graph embeddings. - Timothy Apasiba Abeo; Xiangjun Shen; Bing-Kun Bao; Zheng-Jun Zha; Jianping Fan 001 (Pattern Recognit., 2019)

Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems. - Arfan Ali Nagra; Fei Han 001; Qing-Hua Ling; Muhammad Abubaker; Farooq Ahmad; Sumet Mehta; Timothy Apasiba Abeo (Connect. Sci., 2020)

Semi-supervised manifold alignment with multi-graph embedding. - Chang-Bin Huang; Timothy Apasiba Abeo; XiaoZhen Luo; Xiang-Jun Shen; Jianping Gou; DeJiao Niu (Multim. Tools Appl., 2020)

Deflated manifold embedding PCA framework via multiple instance factorings. - Ernest Domanaanmwi Ganaa; Xiang-Jun Shen; Timothy Apasiba Abeo (Multim. Tools Appl., 2021)

Diversified feature representation via deep auto-encoder ensemble through multiple activation functions. - Na Qiang; Xiang-Jun Shen; Chang-Bin Huang; Shengli Wu 001; Timothy Apasiba Abeo; Ernest Domanaanmwi Ganaa; Shu-Cheng Huang (Appl. Intell., 2022)

A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network. - Jeremiah Osei-Kwakye; Fei Han 001; Alfred Adutwum Amponsah; Qinghua Ling; Timothy Apasiba Abeo (Connect. Sci., 2022)

A novel message passing neural network based on neighborhood expansion. - Yanfeng Xue; Zhen Jin 001; Timothy Apasiba Abeo (Int. J. Mach. Learn. Cybern., 2023)

Dual projection learning with adaptive graph smoothing for multi-label classification. - Zhifeng Liu; Rui-hang Cai; Timothy Apasiba Abeo; Qian Zhu 003; Cong-hua Zhou; Xiang-Jun Shen (Appl. Intell., 2023)

A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection. - Jeremiah Osei-Kwakye; Fei Han 001; Alfred Adutwum Amponsah; Qing-Hua Ling; Timothy Apasiba Abeo (Appl. Intell., 2023)

Geometrically Preserved Dual Projections Learning for Multi-label Classification. - Zhi-Feng Liu; Rui-hang Cai; Timothy Apasiba Abeo; Cong-hua Zhou; Xiang-Jun Shen (Neural Process. Lett., 2023)

Self-expressive induced clustered attention for video-text retrieval. - Jingxuan Zhu; Xiangjun Shen; Sumet Mehta; Timothy Apasiba Abeo; Yongzhao Zhan 001 (Multim. Syst., 2024)

Robust multi-label classification via data reconstruction by neighborhood samples augmentation. - Zhifeng Liu; Sitao Xi; Timothy Apasiba Abeo; Xiang-Jun Shen; Conghua Zhou; Heping Song; Peiwang Li (Multim. Tools Appl., 2025)