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Zekun Li 0010
Person information
- affiliation: Nanjing University, Nanjing, China
Other persons with the same name
- Zekun Li — disambiguation page
- Zekun Li 0001
— Institute of Information Engineering, Chinese Academy of Sciences, China
- Zekun Li 0002
— Brown University, USA (and 2 more)
- Zekun Li 0003
— Beijing University of Posts and Telecommunications, China
- Zekun Li 0004
— Xidian University, Xi'an, China
- Zekun Li 0005
— Southeast University, Nanjing, China
- Zekun Li 0006
— National Computer Network Emergency Response Technical Team, Coordination Center of China, Beijing, China
- Zekun Li 0007
— University of Minnesota, Twin Cities, MN, USA (and 1 more)
- Zekun Li 0008 — University of California, Santa Barbara, CA, USA
- Zekun Li 0009 — Aptos
- Zekun Li 0011 — OPPO US Research Center, InnoPeak Technology, Inc., Palo Alto, CA, USA
- Zekun Li 0012
— Washington University, Department of Biomedical Engineering, St. Louis, MO, USA
- Zekun Li 0013
— Xi'an University of Architecture and Technology, School of Information and Control Engineering, Institute for Interdisciplinary and Innovate Research, China
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2020 – today
- 2025
- [i5]Qinghe Ma, Jian Zhang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi:
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation. CoRR abs/2503.16997 (2025) - [i4]Maochen Yang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi:
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting. CoRR abs/2503.17984 (2025) - [i3]You Wang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists. CoRR abs/2504.00862 (2025) - 2024
- [j2]Zekun Li
, Lei Qi
, Yawen Li
, Yinghuan Shi
, Yang Gao
:
Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation. IEEE Trans. Knowl. Data Eng. 36(8): 4163-4177 (2024) - 2023
- [c1]Zekun Li
, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. ICCV 2023: 15824-15833 - [i2]Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. CoRR abs/2308.13168 (2023) - 2021
- [j1]Zekun Li
, Wei Zhao
, Feng Shi
, Lei Qi
, Xingzhi Xie, Ying Wei
, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu
, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69: 101978 (2021) - [i1]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR abs/2102.03837 (2021)
Coauthor Index

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last updated on 2025-05-19 21:10 CEST by the dblp team
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