Linzhi Su

24 papers B 3Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Attention-guided multi-scale local reconstruction for point clouds via masked autoencoder self-supervised learning.
Multim. Syst.
Xin Cao, Haoyu Wang, Jiaxu Shi, Linzhi Su, Xinda Liu, Kang Li
2026 J jnl
Point-DPA: Unifying contrastive and generative learning for 3D point cloud understanding via dynamic prototypes.
Inf. Sci.
Xin Cao, Xinmeng Hu, Yinan Wang, Kang Li, Linzhi Su, Yangyang Liu, Fengjun Zhao
2025 J jnl
Attention-Guided Multi-Scale Local Reconstruction for Point Clouds via Masked Autoencoder Self-Supervised Learning.
CoRR
Xin Cao, Haoyu Wang, Yuzhu Mao, Xinda Liu, Linzhi Su, Kang Li
2025 J jnl
ROMP-DCP: Dictionary learning via regularized orthogonal matching pursuit and difference of convex programming for robust fluorescence molecular tomography.
Biomed. Signal Process. Control.
Linzhi Su, Huimin Gao, Limin Chen, Wenlong Tang, Yi Chen, Chengyi Gao, Huangjian Yi, Xin Cao
2025 J jnl
TRRS-DM: Two-stage Resampling and Residual Shifting for high-fidelity texture inpainting of Terracotta Warriors utilizing Diffusion Models.
Pattern Recognit.
Xin Cao, Peiyuan Quan, Yuzhu Mao, Rui Cao, Linzhi Su, Kang Li
2024 J jnl
Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography.
Comput. Methods Programs Biomed.
Gege Zhang, Jun Zhang, Yi Chen, Mengfei Du, Kang Li, Linzhi Su, Huangjian Yi, Fengjun Zhao, Xin Cao
2024 J jnl
PointCluster: Deep Clustering of 3-D Point Clouds With Semantic Pseudo-Labeling.
IEEE Trans. Geosci. Remote. Sens.
Xiu Liu, Xinxin Han, Huan Xia, Kang Li, Haochen Zhao, Jia Jia, Gang Zhen, Linzhi Su, Fengjun Zhao, Xin Cao
2024 J jnl
PointStaClu: A Deep Point Cloud Clustering Method Based on Stable Cluster Discrimination.
Remote. Sens.
Xin Cao, Haoyu Wang, Qiuquan Zhu, Yifan Wang, Xiu Liu, Kang Li, Linzhi Su
2023 — conf
K-CapsNet: K-Nearest Neighbor Based Convolution Capsule Network for Cerenkov Luminescence Tomography Reconstruction.
EMBC
Xin Cao, Weitong Li, Yi Chen, Mengfei Du, Gege Zhang, Jun Zhang, Kang Li, Linzhi Su
2023 J jnl
PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization.
CoRR
Xin Cao, Huan Xia, Xinxin Han, Yifan Wang, Kang Li, Linzhi Su
2019 J jnl
A Novel Stacked Denoising Autoencoder-Based Reconstruction Framework for Cerenkov Luminescence Tomography.
IEEE Access
Xin Cao, Xiao Wei, Feng Yan, Lin Wang, Linzhi Su, Yuqing Hou, Guohua Geng, Xiaowei He
2017 J jnl
Deep learning and mapping based ternary change detection for information unbalanced images.
Pattern Recognit.
Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang
2016 B conf
A memetic algorithm based on MOEA/D for near space communication system deployment optimization on tide user model.
CEC
Zhao Wang, Maoguo Gong, Yu Lei, Shanfeng Wang, Linzhi Su
2016 J jnl
A multiobjective fuzzy clustering method for change detection in SAR images.
Appl. Soft Comput.
Hao Li, Maoguo Gong, Qiao Wang, Jia Liu, Linzhi Su
2016 J jnl
Coupled Dictionary Learning for Change Detection From Multisource Data.
IEEE Trans. Geosci. Remote. Sens.
Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu
2016 B conf
Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis.
IJCNN
Linzhi Su, Jiao Shi, Puzhao Zhang, Zhao Wang, Maoguo Gong
2016 J jnl
Feature-Level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery.
IEEE Geosci. Remote. Sens. Lett.
Hui Zhang, Maoguo Gong, Puzhao Zhang, Linzhi Su, Jiao Shi
2016 J jnl
Generalized correlation for shape alignment.
Inf. Sci.
Dayong Tian, Maoguo Gong, Linzhi Su
2015 J jnl
A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su
2015 J jnl
A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration.
IEEE Geosci. Remote. Sens. Lett.
Yue Wu, Wenping Ma, Maoguo Gong, Linzhi Su, Licheng Jiao
2015 J jnl
An efficient bi-convex fuzzy variational image segmentation method.
Inf. Sci.
Maoguo Gong, Dayong Tian, Linzhi Su, Licheng Jiao
2015 J jnl
Change detection in synthetic aperture radar images based on unsupervised artificial immune systems.
Appl. Soft Comput.
Jia Liu, Maoguo Gong, Qiguang Miao, Linzhi Su, Hao Li
2014 B conf
A multiobjective optimization method based on MOEA/D and fuzzy clustering for change detection in SAR images.
IEEE Congress on Evolutionary Computation
Qiao Wang, Hao Li, Maoguo Gong, Linzhi Su, Licheng Jiao
2014 J jnl
Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images.
IEEE Trans. Fuzzy Syst.
Maoguo Gong, Linzhi Su, Meng Jia, Weisheng Chen