Camouflaged locust segmentation based on PraNet. - Limei Liu; Meng Liu; Kexin Meng; Linqiang Yang; Min Zhao; Shuli Mei (Comput. Electron. Agric., 2022)

Brain Tumor Segmentation Based on Bendlet Transform and Improved Chan-Vese Model. - Kexin Meng; Piercarlo Cattani; Francesco Villecco (Entropy, 2022)

Digital finance and happiness: evidence from China. - Kexin Meng; Jing Jian Xiao (Inf. Technol. Dev., 2023)

Enhancing the Quality of Pseudo Labels in 2D Human Pose Estimation via a Debiasing-Teacher Approach. - Naihao Wang; Shushi Hong; Kexin Meng; Ruirui Li (ICPR (10), 2024)

Camouflaged cotton bollworm instance segmentation based on PVT and Mask R-CNN. - Kexin Meng; Kexin Xu; Piercarlo Cattani; Shuli Mei (Comput. Electron. Agric., 2024)

Semi-supervised 2D Human Pose Estimation via Adaptive Keypoint Masking. - Kexin Meng; Ruirui Li; Daguang Jiang (CoRR, 2024)

Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks. - Jinjin Cai; Kexin Meng; Baijian Yang 001; Gang Shao (CoRR, 2024)

Multifractal characterization and recognition of animal behavior based on deep wavelet transform. - Kexin Meng; Shanjie Yang; Piercarlo Cattani; Shijiao Gao; Shuli Mei (Pattern Recognit. Lett., 2024)

Tree Species Classification from UAV Canopy Images with Deep Learning Models. - Yunmei Huang; Botong Ou; Kexin Meng; Baijian Yang 001; Joshua Carpenter; Jinha Jung; Songlin Fei (Remote. Sens., 2024)

Registration and inpainting of biological slice images based on Bendlet transform and interval Shannon-Cosine wavelet. - Kexin Meng; Meng Liu; Limei Liu; Shuli Mei (Int. J. Wavelets Multiresolution Inf. Process., 2024)

EMAWNB: Enhanced Multi-view Attribute Weighted Naive Bayes. - Guanzhi Liu; Kexin Meng; Pei Lv; Huan Zhang 007 (PAKDD (3), 2025)

Order Acquisition Under Competitive Pressure: A Rapidly Adaptive Reinforcement Learning Approach for Ride-Hailing Subsidy Strategies. - Fangzhou Shi; Xiaopeng Ke; Xinye Xiong; Kexin Meng; Chang Men; Zhengdan Zhu (CoRR, 2025)

A general dual-view framework for instance weighted naive Bayes. - Huan Zhang 007; Kexin Meng; Pei Lv; Shuo He 002; Mingliang Xu 001 (Pattern Recognit., 2026)