2011年本科毕业于厦门大学智能科学与技术专业，2017年博士毕业于厦门大学计算机科学与技术专业，入选厦门大学南强B类人才计划。目前主持和参与多项国家自然科学基金、国家重点研发计划、福建省自然科学基金、厦门市重点项目和横向课题。
Lei Li, Sheng Lian, Zhiming Luo*, Shaozi Li*, Beizhang Wang, Shuo Li, "Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation", MICCAI 2021.
Chengji Wang, Zhiming Luo*, Yaojin Lin, Shaozi Li*, "Text-based Person Search via Multi-Granularity Embedding Learning", IJCAI 2021.
Yongguo Ling, Zhiming Luo*, Yaojin Lin, Shaozi Li*, "A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification", IJCAI 2021.
Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo*, Elisa Ricci, Nicu Sebe, "Neighborhood Contrastive Learning for Novel Class Discovery", CVPR 2021.
Zhun Zhong, Linchao Zhu, Zhiming Luo*, Shaozi Li, Yi Yang Nicu Sebe, "OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World", CVPR 2021.
Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo*, Yaojin Lin, Shaozi Li*, Nicu Sebe, "Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification", CVPR 2021.
Fengxiang Yang, Zhun Zhong, Zhiming Luo*, Yuanzheng Cai, Yaojin Lin, Shaozi Li*, Nicu Sebe, "Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification", CVPR 2021.
Fengxiang Yang, Zhun Zhong Hong Liu, Zheng Wang, Zhiming Luo*, Shaozi Li*, Nicu Sebe, Shin'ichi Satoh, "Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning", AAAI 2021.
Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo*, Xing Sun*, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li, "Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification", AAAI 2020.
Yongguo Ling, Zhun Zhong, Zhiming Luo*, Paolo Rota, Shaozi Li*, Nicu Sebe, "Class-Aware Modality Mix and Center-Guided Metric Learning for Visible-Thermal Person Re-Identification", ACM MM 2020.
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li*, Yi Yang, "Invariance matters: Exemplar memory for domain adaptive person re-identification", CVPR 2019.
Zhiming Luo, Akshaya Mishra, Andrew Achkar, Justin Eichel, Shaozi Li*, Pierre-Marc Jodoin, "Non-local deep features for salient object detection", CVPR 2017.
Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo*, Donglin Cao, Shaozi Li, Shin’ichi Satoh, Nicu Sebe, "Towards Robust Person Re-identification by Defending Against Universal Attackers", IEEE Transactions on Pattern Analysis and Machine Intelligence 2022.
Yuyang Zhao, Zhong Zhun*, Zhiming Luo, Gim Hee Lee, Nicu Sebe, "Source-Free Open Compound Domain Adaptation in Semantic Segmentation", IEEE Transactions on Circuits and Systems for Video Technology 2022.
Jinliang Lin, Zhedong Zheng, Zhun Zhong, Zhiming Luo*, Shaozi Li*, Yi Yang, Nicu Sebe, "Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization", IEEE Transactions on Image Processing 2022.
Wei Liu, Zhiming Luo*, Yuanzheng Cai, Ying Yu, Yang Ke, José Marcato, Wesley Nunes Gonçalves, Jonathan Li, "Adversarial Unsupervised Domain Adaptation for 3D Semantic Segmentation with Multi-Modal Learning", ISPRS Journal of Photogrammetry and Remote Sensing 2021.
Sheng Lian, Zhiming Luo*, Cheng Feng, Shaozi Li*, Shuo Li*, "APRIL: Anatomical Prior-guided ReInforcement Learning for Accurate Carotid Lumen Diameter and Intima-media Thickness Measurement", Medical Image Analysis 2021.
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li*, Yi Yang, "Learning to Adapt Invariance in Memory for Person Re-identification", IEEE Transactions on Pattern Analysis and Machine Intelligence 2020.
Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li*, "Joint imbalanced classification and feature selection for hospital readmissions", Knowledge-Based Systems 2020.
Fengxiang Yang, Zhun Zhong, Zhiming Luo*, Sheng Lian, Shaozi Li, "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", IEEE Transactions on Multimedia.
Clement Zotti*, Zhiming Luo, Alain Lalande, Pierre-Marc Jodoin, "Convolutional neural network with shape prior applied to cardiac MRI segmentation", IEEE Journal of Biomedical and Health Informatics 2019.
Jia Zhang, Zhiming Luo, Candong Li, Changen Zhou, Shaozi Li*, "Manifold regularized discriminative feature selection for multi-label learning", Pattern Recognition 2019.
Sheng Lian, Lei Li, Guiren Lian, Xiao Xiao, Zhiming Luo*, Shaozi Li*, "A global and local enhanced residual u-net for accurate retinal vessel segmentation", IEEE/ACM Transactions on Computational Biology and Bioinformatics 2019.
Jia Zhang, Candong Li, Zhenqiang Sun, Zhiming Luo, Changen Zhou, Shaozi Li*, "Towards a unified multi-source-based optimization framework for multi-label learning", Applied Soft Computing 2019.
Wei Liu, Zhiming Luo*, Shaozi Li, "Improving deep ensemble vehicle classification by using selected adversarial samples", Knowledge-Based Systems 2018.
Zhiming Luo, Frederic B.-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li*, Akshaya Mishra, Andrew Achkar, Justin Eichel, Pierre-Marc Jodoin, "MIO-TCD: A new benchmark dataset for vehicle classification and localization", IEEE Transactions on Image Processing 2018.
Zilong Zhong, Jonathan Li*, Zhiming Luo, Michael Chapman, "Spectral–spatial residual network for hyperspectral image classification: A 3-D deep learning framework", IEEE Transactions on Geoscience and Remote Sensing 2018.
Zhiming Luo, Pierre-Marc Jodoin, Song-Zhi Su*, Shao-Zi Li, Hugo Larochelle, "Traffic analytics with low-frame-rate videos", IEEE Transactions on Circuits and Systems for Video Technology 2018.
