Histograms of Gaussian normal distribution for feature matching in clutter scenes. - Wei Zhou 012; Caiwen Ma; Arjan Kuijper (CoRR, 2017)

Hough-space-based hypothesis generation and hypothesis verification for 3D object recognition and 6D pose estimation. - Wei Zhou 012; Caiwen Ma; Arjan Kuijper (Comput. Graph., 2018)

Feature Fusion Information Statistics for feature matching in cluttered scenes. - Wei Zhou 012; Caiwen Ma; Shenghui Liao; Jinjing Shi; Tong Yao; Peng Chang; Arjan Kuijper (Comput. Graph., 2018)

Histograms of Gaussian normal distribution for 3D feature matching in cluttered scenes. - Wei Zhou 012; Caiwen Ma; Tong Yao; Peng Chang; Qi Zhang 015; Arjan Kuijper (Vis. Comput., 2019)

Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit. - Cheng Yao; Qinglei Zhao; Zelong Ma; Wei Zhou 012; Tong Yao (IEEE Access, 2020)

SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods. - Yao Hu; Guohua Geng; Kang Li 005; Wei Zhou 012; Xingxing Hao; Xin Cao 004 (CoRR, 2020)

Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net). - Yao Hu; Wei Zhou 012; Guohua Geng; Kang Li 005; Xingxing Hao; Xin Cao 004 (CSAE, 2021)

Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning. - Wei Zhou 012; Xin Cao 004; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (CoRR, 2021)

Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds. - Wei Zhou 012; Xin Cao 004; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (CoRR, 2021)

Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization. - Wei Liu 156; Chen Li 030; Xingxing Hao; Wei Zhou 012; Xin Cao 004; Fei Xie (Swarm Evol. Comput., 2022)

FCRoute: A Fast FPGA Connection Router Using Soft Routing-Space Pruning Algorithm. - Dekui Wang; Jun Feng 003; Wei Zhou 012; Xingxing Hao; Xiaodan Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text. - Binlong Zhang; Wei Zhou 012 (Neural Process. Lett., 2023)

Multi Point-Voxel Convolution (MPVConv) for deep learning on point clouds. - Wei Zhou 012; Xiaodan Zhang; Xingxing Hao; Dekui Wang; Ying He 001 (Comput. Graph., 2023)

A Fast FPGA Connection Router Using Prerouting-Based Parallel Local Routing Algorithm. - Dekui Wang; Jun Feng 003; Ke Liu; Wei Zhou 012; Xingxing Hao; Xiaodan Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Graph Transformer for 3D point clouds classification and semantic segmentation. - Wei Zhou 012; Qian Wang; Weiwei Jin; Xinzhe Shi; Ying He 001 (Comput. Graph., 2024)

Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization. - Haofan Wang; Li Chen; Xingxing Hao; Rong Qu; Wei Zhou 012; Dekui Wang; Wei Liu 156 (Swarm Evol. Comput., 2024)

Advancements in deep learning for point cloud classification and segmentation: A comprehensive review. - Wei Zhou 012; Kunlong Liu; Weiwei Jin; Qian Wang; Yunfeng She; Yongxiang Yu; Caiwen Ma (Comput. Graph., 2025)

Exploring multi-scale and cross-type features in 3D point cloud learning with CCMNET. - Wei Zhou 012; Weiwei Jin; Dekui Wang; Xingxing Hao; Yongxiang Yu; Caiwen Ma (Expert Syst. Appl., 2025)