Optimizing for Large Time Delay Systems by BP Neural Network and Evolutionary Algorithm Improving. - Fan Lin; Wenhua Zeng; Jianbing Xiahou; Yi Jiang (J. Softw., 2011)

Unsupervised feature selection by joint graph learning. - Zhihong Zhang 001; Jianbing Xiahou; Yuanheng Liang; Yuhan Chen (ChinaSIP, 2015)

Coupled-Feature Hypergraph Representation for Feature Selection. - Zhihong Zhang 001; Jianbing Xiahou; Lu Bai 001; Edwin R. Hancock (GbRPR, 2015)

Customer profitability analysis of automobile insurance market based on data mining. - Jianbing Xiahou; Yanyu Xu; Siyu Zhang; Wenxuan Liao (ICCSE, 2016)

Discriminative Lasso. - Zhihong Zhang 001; Jianbing Xiahou; Zheng-Jian Bai; Edwin R. Hancock; Da Zhou; Sibao Chen 001; Liyan Chen (Cogn. Comput., 2016)

TCM clinic records data mining approaches based on weighted-LDA and multi-relationship LDA model. - Fan Lin; Jianbing Xiahou; Zhuxiang Xu (Multim. Tools Appl., 2016)

Multi-kernel learning for multivariate performance measures optimization. - Fan Lin; Jingbin Wang; Nian Zhang; Jianbing Xiahou; Nancy McDonald (Neural Comput. Appl., 2017)

High-order covariate interacted Lasso for feature selection. - Zhihong Zhang 001; Yiyang Tian; Lu Bai 001; Jianbing Xiahou; Edwin R. Hancock (Pattern Recognit. Lett., 2017)

Multiobjective Evolutionary Algorithm Based on Nondominated Sorting and Bidirectional Local Search for Big Data. - Fan Lin; Jiasong Zeng; Jianbing Xiahou; Beizhan Wang; Wenhua Zeng; Haibin Lv (IEEE Trans. Ind. Informatics, 2017)

Real-Time Eye-Gaze Based Interaction for Human Intention Prediction and Emotion Analysis. - Hao He; Yingying She; Jianbing Xiahou; Junfeng Yao; Jun Li 043; Qingqi Hong; Yingxuan Ji (CGI, 2018)

Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model. - Jianbing Xiahou; Fan Lin; Qihua Huang; Wenhua Zeng (Neural Comput. Appl., 2018)

BabeBay-A Companion Robot for Children Based on Multimodal Affective Computing. - Meimei Zheng; Yingying She; Fang Liu; Jin Chen; Yang Shu; Jianbing Xiahou (HRI, 2019)

Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation. - Lu Liu; Fan Lin; Beizhan Wang; Kangkang Li 001; Meng Xiao; Jianbing Xiahou; Pengcheng Wu (IEEE Access, 2020)

Urban Traffic Signal Control Based on Multiobjective Joint Optimization. - Yongrong Wu; Yijie Zhou; Yanming Feng; Yutian Xiao; Shaojie He; Junsheng Zhou; Tianhe Ren; Jinling Chen; Mingsong Chen 003; Jianbing Xiahou; Fan Lin; Chao Huang (Sci. Program., 2020)

Moving Window Differential Evolution Independent Component Analysis-Based Operational Modal Analysis for Slow Linear Time-Varying Structures. - Yongshuo Zong; Jinling Chen; Siyi Tao; Cheng Wang 020; Jianbing Xiahou (Sci. Program., 2020)

Audio-Visual Salieny Network with Audio Attention Module. - Shuaiyang Cheng; Xing Gao 004; Liang Song; Jianbing Xiahou (ICAIIS, 2021)

Image-to-Video Translation Using a VAE-GAN with Refinement Network. - Shengli Wang; Mulin Xieshi; Zhangpeng Zhou; Xiang Zhang; Xujie Liu; Zeyi Tang; Jianbing Xiahou; Pingyuan Lin; Xuexin Xu; Yuxing Dai (ICIC (1), 2022)

A review: Music-emotion recognition and analysis based on EEG signals. - Xu Cui; Yongrong Wu; Jipeng Wu; Zhiyu You; Jianbing Xiahou; Menglin Ouyang (Frontiers Neuroinformatics, 2022)

Federated low-rank tensor projections for sequential recommendation. - Li Li; Fan Lin; Jianbing Xiahou; Yuanguo Lin; Pengcheng Wu; Yong Liu 020 (Knowl. Based Syst., 2022)

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. - Yuanguo Lin; Fan Lin; Wenhua Zeng; Jianbing Xiahou; Li Li; Pengcheng Wu; Yong Liu 020; Chunyan Miao (Knowl. Based Syst., 2022)

Relation-aware dynamic attributed graph attention network for stocks recommendation. - Shibo Feng; Chen Xu; Yu Zuo; Guo Chen; Fan Lin; Jianbing Xiahou (Pattern Recognit., 2022)

A Graph-Transformer Network for Scene Text Detection. - Yongrong Wu; Jingyu Lin; Houjin Chen; Dinghao Chen; Lvqing Yang; Jianbing Xiahou (ICIC (5), 2023)

DistVAE: Distributed Variational Autoencoder for sequential recommendation. - Li Li; Jianbing Xiahou; Fan Lin; Songzhi Su (Knowl. Based Syst., 2023)

Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs. - Yuanguo Lin; Shibo Feng; Fan Lin; Jianbing Xiahou; Wenhua Zeng (Appl. Soft Comput., 2023)

Multi-view short-term photovoltaic power prediction combining satellite images feature learning and graph mutual information feature representation. - Yuxing Dai; Jing Lai; Xuexin Xu; Jianbing Xiahou; Jie Lian; Zhihong Zhang (IET Comput. Vis., 2025)