Estimating cotton leaf nitrogen by combining the bands sensitive to nitrogen concentration and oxidase activities using hyperspectral imaging. - Jingang Wang; Tian Tian; Haijiang Wang; Jing Cui; Yongqi Zhu; Wenxu Zhang; Xuanmeng Tong; Tianhang Zhou; Zhenkang Yang; Jiaqi Sun (Comput. Electron. Agric., 2021)

Enhancing Mobile Edge Computing with Efficient Load Balancing Using Load Estimation in Ultra-Dense Network. - Wen Chen 017; Yongqi Zhu; Jiawei Liu; Yuhu Chen (Sensors, 2021)

A Polynomial Time Algorithm for a Class of Two-Sided Scaffold Filling Base Contig. - Nan Liu; Shenghua Li; Yongqi Zhu (CSAE, 2022)

A New Approximation Algorithm for the Contig-Based One-Sided Repetitive Genomic Scaffold Filling Problem. - Nan Liu; Yongqi Zhu; Shenghua Li (CSAE, 2022)

MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion. - Guanzhou Ke; Yongqi Zhu; Yang Yu 058 (ICDM (Workshops), 2022)

A Clustering-guided Contrastive Fusion for Multi-view Representation Learning. - Guanzhou Ke; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Chang Xu; Yongqi Zhu; Yang Yu 058 (CoRR, 2022)

A New Approximation Algorithm for Genomic Scaffold Filling Based on Contig. - Yongqi Zhu; Nan Liu; Qing Yang 003 (HealthCom, 2023)

HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles. - Deyuan Qu; Qi Chen 018; Yongqi Zhu; Yihao Zhu; Sergei S. Avedisov; Song Fu; Qing Yang 003 (ECCV Workshops (8), 2024)

A unified kernel sparse representation framework for supervised learning problems. - Junyou Ye; Zhixia Yang 001; Yongqi Zhu; Zheng Zhang (Neural Comput. Appl., 2024)

A Clustering-Guided Contrastive Fusion for Multi-View Representation Learning. - Guanzhou Ke; Guoqing Chao; Xiaoli Wang 003; Chenyang Xu; Yongqi Zhu; Yang Yu 058 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Robust and Sparse Kernel-Free Quadratic Surface LSR via L2,p-Norm With Feature Selection for Multi-Class Image Classification. - Yongqi Zhu; Zhixia Yang 001; Junyou Ye; Yongxing Hu (IEEE Access, 2025)

Intelligent application of interactive scale transformer for fine grained feature extraction in sheep. - Xingran Guo; Haizheng Yu; Hong Bian; Wenrong Li; Xueying Liao; Yongqi Zhu (Eng. Appl. Artif. Intell., 2025)

Analysis and experiment of a positioning and pointing mechanism based on the stick-slip driving principle. - Yongqi Zhu; Juan Li; Jianbin Huang; Weida Li; Gai Liu; Lining Sun (Frontiers Neurorobotics, 2025)

Kernel-free quadratic surface SVM for conditional probability estimation in imbalanced multi-class classification. - Junyou Ye; Zhixia Yang 001; Yongqi Zhu; Zheng Zhang; Qin Wen (Neural Networks, 2025)

M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark. - Morui Zhu; Yongqi Zhu; Yihao Zhu; Qi Chen 018; Deyuan Qu; Song Fu; Qing Yang 003 (CoRR, 2025)