Wei Zhou

22 papers Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Advancements in deep learning for point cloud classification and segmentation: A comprehensive review.
Comput. Graph.
Wei Zhou, Kunlong Liu, Weiwei Jin, Qian Wang, Yunfeng She, Yongxiang Yu, Caiwen Ma
2025 J jnl
Exploring multi-scale and cross-type features in 3D point cloud learning with CCMNET.
Expert Syst. Appl.
Wei Zhou, Weiwei Jin, Dekui Wang, Xingxing Hao, Yongxiang Yu, Caiwen Ma
2025 J jnl
Semi-supervised single-view 3D reconstruction via multi shape prior fusion strategy and self-attention.
Comput. Graph.
Wei Zhou, Xinzhe Shi, Yunfeng She, Kunlong Liu, Yongqin Zhang
2024 J jnl
Graph Transformer for 3D point clouds classification and semantic segmentation.
Comput. Graph.
Wei Zhou, Qian Wang, Weiwei Jin, Xinzhe Shi, Ying He
2024 J jnl
Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization.
Swarm Evol. Comput.
Haofan Wang, Li Chen, Xingxing Hao, Rong Qu, Wei Zhou, Dekui Wang, Wei Liu
2024 J jnl
Semi-supervised Single-view 3D Reconstruction via Multi Shape Prior Fusion Strategy and Self-Attention.
CoRR
Wei Zhou, Xinzhe Shi, Yunfeng She, Kunlong Liu, Yongqin Zhang
2023 J jnl
A Fast FPGA Connection Router Using Prerouting-Based Parallel Local Routing Algorithm.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dekui Wang, Jun Feng, Ke Liu, Wei Zhou, Xingxing Hao, Xiaodan Zhang
2023 J jnl
FCRoute: A Fast FPGA Connection Router Using Soft Routing-Space Pruning Algorithm.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dekui Wang, Jun Feng, Wei Zhou, Xingxing Hao, Xiaodan Zhang
2023 J jnl
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation.
CoRR
Wei Zhou, Qian Wang, Weiwei Jin, Xinzhe Shi, Dekui Wang, Xingxing Hao, Yongxiang Yu
2023 J jnl
Multi Point-Voxel Convolution (MPVConv) for deep learning on point clouds.
Comput. Graph.
Wei Zhou, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He
2023 J jnl
Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text.
Neural Process. Lett.
Binlong Zhang, Wei Zhou
2022 J jnl
Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization.
Swarm Evol. Comput.
Wei Liu, Chen Li, Xingxing Hao, Wei Zhou, Xin Cao, Fei Xie
2021 J jnl
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds.
CoRR
Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He
2021 J jnl
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning.
CoRR
Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He
2021 — conf
Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net).
CSAE
Yao Hu, Wei Zhou, Guohua Geng, Kang Li, Xingxing Hao, Xin Cao
2021 J jnl
Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net).
CoRR
Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao
2020 J jnl
Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit.
IEEE Access
Cheng Yao, Qinglei Zhao, Zelong Ma, Wei Zhou, Tong Yao
2020 J jnl
SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods.
CoRR
Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao
2019 J jnl
Histograms of Gaussian normal distribution for 3D feature matching in cluttered scenes.
Vis. Comput.
Wei Zhou, Caiwen Ma, Tong Yao, Peng Chang, Qi Zhang, Arjan Kuijper
2018 J jnl
Feature Fusion Information Statistics for feature matching in cluttered scenes.
Comput. Graph.
Wei Zhou, Caiwen Ma, Shenghui Liao, Jinjing Shi, Tong Yao, Peng Chang, Arjan Kuijper
2018 J jnl
Hough-space-based hypothesis generation and hypothesis verification for 3D object recognition and 6D pose estimation.
Comput. Graph.
Wei Zhou, Caiwen Ma, Arjan Kuijper
2017 J jnl
Histograms of Gaussian normal distribution for feature matching in clutter scenes.
CoRR
Wei Zhou, Caiwen Ma, Arjan Kuijper