教育背景
ph.d. 厦门大学智能科学与技术系 2017.12
b.s. 厦门大学智能科学与技术系 2011.06
工作经历
2021年8月 至今 厦门大学信息学院 副教授
2018年3月 至 2021年7月 厦门大学信息学院 博士后
研究领域
计算机视觉、医疗影像分析
授课
计算机视觉、科技论文写作
近期发表文章
[1] juanjuan weng, zhiming luo*, zhun zhong, dazhen lin, shaozi li, "exploring non-target knowledge for improving ensemble universal adversarial attacks", aaai 2023.
[2] yongguo ling, zhun zhong, zhiming luo, fengxiang yang, donglin cao, yaojin lin, shaozi li, nicu sebe, "cross-modality earth mover’s distance for visible thermal person re-identification", aaai 2023.
[3] 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.
[4] 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.
[5] chengji wang, zhiming luo*, yaojin lin, shaozi li*, "text-based person search via multi-granularity embedding learning", ijcai 2021.
[6] yongguo ling, zhiming luo*, yaojin lin, shaozi li*, "a multi-constraint similarity learning with adaptive weighting for visible-thermal person re-identification", ijcai 2021.
[7] zhun zhong, enrico fini, subhankar roy, zhiming luo*, elisa ricci, nicu sebe, "neighborhood contrastive learning for novel class discovery", cvpr 2021.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] yongguo ling, zhun zhong, zhiming luo*, paolo rota, shaozi li*, nicu sebe, "", acm international conference on multimedia (mm) 2020.
[14] 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.
[15] zhun zhong, liang zheng, zhiming luo, shaozi li*, yi yang, "invariance matters: exemplar memory for domain adaptive person re-identification", cvpr 2019.