基本信息
views: 3
Career Trajectory
Bio
Lu mainly focuses on machine learning, especially:
Meta-Learning
Meta-Learning, or learning to learn, aims at extracting meta-knowledge from previous tasks, and reuse them in new tasks. It can be applied to few-shot learning, federated learning, hyper-parameter setting, and other related areas.
Contrastive Learning
Contrastive Learning methods maximize the agreement between positive pairs and minimize the agreement between negative pairs. It has been the one of the most popular methods in self-supervised learning, representation learning and is the fundamental technique of many pre-trained models like CLIP.
Semi-Supervised Learning
Semi-supervised learning is a broad category of machine learning that uses labeled data to ground predictions, and unlabeled data to learn the shape of the larger data distribution. Practitioners can achieve strong results with fractions of the labeled data, and as a result, can save valuable time and money.
Meta-Learning
Meta-Learning, or learning to learn, aims at extracting meta-knowledge from previous tasks, and reuse them in new tasks. It can be applied to few-shot learning, federated learning, hyper-parameter setting, and other related areas.
Contrastive Learning
Contrastive Learning methods maximize the agreement between positive pairs and minimize the agreement between negative pairs. It has been the one of the most popular methods in self-supervised learning, representation learning and is the fundamental technique of many pre-trained models like CLIP.
Semi-Supervised Learning
Semi-supervised learning is a broad category of machine learning that uses labeled data to ground predictions, and unlabeled data to learn the shape of the larger data distribution. Practitioners can achieve strong results with fractions of the labeled data, and as a result, can save valuable time and money.
Research Interests
Papers共 58 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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Coneria Nansubuga,Donna K. Mahnke, Siqi Li, Abigail Multerer, Jake Minx, Bradley Miller,Mengcheng Shen,Andreas Beyer,Lu Han,Joy Lincoln,Chun Liu
biorxiv(2024)
CoRR (2024)
Cited0Views0EIBibtex
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Lihui Zhang, Wanting Hu, Jingxuan Li, Yuehan Li, Feng Liu, Wenyi Xiao,Ning Jiang,Zhiyong Xiao,Lu Han,Wenxia Zhou
Science China Life Sciencespp.1-3, (2024)
AAAI 2024no. 12 (2024): 13563-13571
Lihui Zhang, Yuehan Li, Wanting Hu,Shengqiao Gao, Yiran Tang, Lei Sun,Ning Jiang,Zhiyong Xiao,Lu Han,Wenxia Zhou
Phytomedicinepp.155784, (2024)
Lihui Zhang, Yuehan Li, Wanting Hu,Shengqiao Gao, Yiran Tang, Lei Sun, Ning Jiang,Zhiyong Xiao,Lu Han,Wenxia Zhou
Phytomedicine : international journal of phytotherapy and phytopharmacology (2024): 155784-155784
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEno. 3 (2023): 3721-3737
IEEE Transactions on Knowledge and Data Engineeringno. 99 (2023): 1-14
Trans Mach Learn Res (2023)
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Author Statistics
#Papers: 58
#Citation: 1923
H-Index: 17
G-Index: 43
Sociability: 6
Diversity: 0
Activity: 1
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
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