期刊论文

 
Wei Zhou※, Xinzhe Shi, Yunfeng She, Kunlong Liu, Yongqin Zhang. “Semi-supervised Single-view 3D Reconstruction via Multi Shape Prior Fusion Strategy and Self-Attention”, Computers & Graphics. (2025). CODE click HERE.–The code are verified by Haoyu Guo (郭浩宇,浙江大学) in Graphics Replicability Stamp Initiative (GRSI).
Haofang Wang, Li Chen, Xingxing Hao, Rong Qu, Wei Zhou, Dekui Wang, Wei Liu. “Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization”, Swarm and Evolutionary Computation. (2024). CODE click HERE
Yongqin Zhang, Xiaoyu Wang, Panpan Zhu, Xuan Lu, Jinsheng Xiao, Wei Zhou, Zhan Li, Xianlin Peng. “PRN: Progressive Reasoning Network and Its Image Completion Applications”, Scientific Reports. (2024). CODE click HERE
Liang Ma, Xingxing Hao※, Wei Zhou, Qianbao He, Ruibang Zhang and Li Chen. “A hybrid neural combinatorial optimization framework assisted by automated algorithm design”, Complex & Intelligent Systems. (2024). CODE click HERE
Wei Zhou※, Qian Wang, Weiwei Jin, Xinzhe Shi and Ying He. “Graph Transformer for 3D point clouds classification and semantic segmentation”, Computers & Graphics. (2024). CODE click HERE.–The code are verified by Hui Huang (黄慧,深圳大学) in Graphics Replicability Stamp Initiative (GRSI).
Wei Zhou※, Xiaodan Zhang, Xingxing Hao, Dekui Wang and Ying He. “Multi point-voxel convolution (MPVConv) for deep learning on point clouds”, Computers & Graphics. (2023). CODE click HERE
Dekui Wang, Jun Feng, Ke Liu, Wei Zhou, Xingxing Hao and Xiaodan Zhang. “A Fast FPGA Connection Router Using Pre-routing Based Parallel Local Routing Algorithm”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. (2023). CODE click HERE
Dekui Wang, Jun Feng, Wei Zhou, Xingxing Hao and Xiaodan Zhang. “FCRoute: A Fast FPGA Connection Router using Soft Routing-Space Pruning Algorithm”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. (2022). CODE click HERE
Enhui Chai, Li Chen※, Xingxing Hao and Wei Zhou. “Mitigate the scale imbalance via multi-scale information interaction in small object detection”, Neural Computing and Applications. (2024). CODE click HERE
Wei Liu※, Li Chen※, Xingxing Hao※, Wei Zhou, Xin Cao and Fei Xie. “Offspring regeneration method based on bi-level sampling for large-scale evolutionary multi-objective optimization”, Swarm and Evolutionary Computation. (2023). CODE click HERE
Binlong Zhang and Wei Zhou※. “Transformer-Encoder-GRU (TE-GRU) for Chinese Sentiment Analysis on Chinese Comment Text”, Neural Processing Letters. (2022). CODE click HERE
Wei Zhou※, Xingxing Hao※, Jin Cui, Yongxiang Yu, Xin Cao※ and Arjan Kuijper. “A self-adaptive learning method for motion blur kernel estimation of the single image”, Optik. (2021). CODE click HERE
Yongxiang Yu※, Daojin Yao,, Jie Shi and Wei Zhou. “Prestrike inrush current arc behavior in AMF vacuum interrupters subjected to contact plate slots”, Electric Power Systems Research. (2021). CODE click HERE
Cheng Yao, Qinglei Zhao※, Zelong Ma, Wei Zhou and Tong Yao. “Design and Simulation of an Intelligent Current Monitoring System for Urban Rail Transit”, IEEE Access. (2020). CODE click HERE
Kaidi Wang, Xiuqin Su※, Zhe Li, Shaobo Wua, Wei Zhou, Rui Wang, Songmao Chen and Xuan Wang. “Generation of non-Kolmogorov atmospheric turbulence phase screen using intrinsic embedding fractional Brownian motion method”, Optik. (2020). CODE click HERE
Guohua Geng, Jie Liu, Xin Cao※, Yangyang Liu, Wei Zhou, Fengjun Zhao, Linzhi Su, Kang li※, Mingquan Zhou. “Simplification method for 3D Terracotta Warrior fragments based on local structure and deep neural networks”, JOSA A. (2020). CODE click HERE
Xin Cao, Jun Zhang, Jianan Yang, Chunxiao Fan, Fengjun Zhao, Wei Zhou※, Lin Wang, Guohua Geng, Mingquan Zhou, and Xueli Chen※. “A deep unsupervised clustering-based post-processing framework for high-fidelity Cerenkov luminescence tomography”, Journal of Applied Physics. (2020). CODE click HERE
Wei Zhou※, Xingxing Hao, Kaidi Wang, Zhengyang Zhang, Yongxiang Yu, Haonan Su, Kang Li※, Xin Cao※ and Arjan Kuijper. “Improved estimation of motion blur parameters for restoration from a single image”, Plos One. (2020). CODE click HERE
Wei Zhou※, Caiwen Ma, Shenghui Liao, Jinjing Shi, Tong Yao, Peng Chang and Arjan Kuijper. “Feature Fusion Information Statistics for feature matching in cluttered scenes”, Computers & Graphics. (2018). CODE click HERE
Wei Zhou※, Caiwen Ma and Arjan Kuijper. “Hough-space-based hypothesis generation and hypothesis verification for 3D object recognition and 6D pose estimation”, Computers & Graphics. (2018). CODE click HERE
Wei Zhou※, Caiwen Ma, Tong Yao, Peng Chang, Qi Zhang and Arjan Kuijper. “Histograms of Gaussian normal distribution for 3D feature matching in cluttered scenes”, The Visual Computer. (2019). CODE click HERE

会议论文

 
Wei Zhou※, Kunlong Liu, Weiwei Jin, Qian Wang, Yunfeng She, Yongxiang Yu and Caiwen Ma. “Revolutionizing Point Cloud Classification with Multiview Self-Supervised Learning”. The 17th lEEE International Conference on Signal Processing (ICSP 2024), 2024. (ICSP 2024最佳论文奖, Oral Presentation). CODE click HERE.
Wei Zhou※, Weiwei Jin, Qian Wang, Kunlong Liu, Yunfeng She, Yongxiang Yu and Caiwen Ma. “Unveiling the Power of Dual Positional Encoding in Point Cloud Learning with DPAtteNet”. The 17th lEEE International Conference on Signal Processing (ICSP 2024), 2024. (Oral Presentation). CODE click HERE.
Wei Zhou※, Weiwei Jin, Qian Wang, Kunlong Liu, Yunfeng She, Yongxiang Yu and Caiwen Ma. “Global Mask Autoencoder for Streamlined Point Cloud Learning and Voxel Token Integration”. The 17th lEEE International Conference on Signal Processing (ICSP 2024), 2024. (Oral Presentation). CODE click HERE.
Wei Zhou※, Qian Wang, Weiwei Jin, Kunlong Liu, Yunfeng She, Yongxiang Yu and Caiwen Ma. “SMNet: Surface Feature Extraction Network using Multi-scale Strategy”. The 17th lEEE International Conference on Signal Processing (ICSP 2024), 2024. (Oral Presentation). CODE click HERE.
Wei Zhou※, Yunfeng She, Weiwei Jin, Qian Wang, Kunlong Liu, Yongxiang Yu and Caiwen Ma. “Enhancing Point Cloud Robustness through Cylindrical Coordinate Masking in PointCut”. The 17th lEEE International Conference on Signal Processing (ICSP 2024), 2024. (Oral Presentation). CODE click HERE.
Xiwen Yang, Xingxing Hao, Li Chen, Dekui Wang, Wei Zhou and Wei Liu. “A Novel Two-Stage Evolutionary Algorithm for Constrained Multiobjective Optimization”. The 5th International Conference on Data-driven Optimization of Complex Systems (DOCS 2023), 2023. CODE click HERE.
Yao Hu, Wei Zhou, Guohua Geng, Kang Li※, Xingxing Hao and Xin Cao. “Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)”. The 5th International Conference on Computer Science and Application Engineering (CSAE 2021), 2021. CODE click HERE.

发明专利

 
胡尧,李康,周伟。基于区域生长与深度学习结合的针对兵马俑点云的无监督分割方法。申请专利号:CN202110061603.2
王德奎,冯筠,周伟,郝星星,张晓丹。一种FPGA预布线方法、系统、介质、设备及终端。申请专利号:CN202211410494.1