yuzhimanhua
Incoming Assistant Professor at TAMU; PhD at UIUC; BS at PKU; Data Mining, NLP, AI4Science
Urbana, IL
Pinned Repositories
Awesome-Scientific-Language-Models
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
HiGitClass
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
HIMECat
Hierarchical Metadata-Aware Document Categorization under Weak Supervision (WSDM'21)
Influence-Maximization
Top-K Influential Nodes in Social Networks: A Game Perspective (SIGIR'17)
LM-LSTM-CRF
MAPLE
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)
MATCH
MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)
MetaCat
Minimally Supervised Categorization of Text with Metadata (SIGIR'20)
MICoL
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification (WWW'22)
Multi-BioNER
Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)
yuzhimanhua's Repositories
yuzhimanhua/Awesome-Scientific-Language-Models
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
yuzhimanhua/MATCH
MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)
yuzhimanhua/Multi-BioNER
Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)
yuzhimanhua/MAPLE
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)
yuzhimanhua/HiGitClass
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
yuzhimanhua/MetaCat
Minimally Supervised Categorization of Text with Metadata (SIGIR'20)
yuzhimanhua/HIMECat
Hierarchical Metadata-Aware Document Categorization under Weak Supervision (WSDM'21)
yuzhimanhua/LM-LSTM-CRF
yuzhimanhua/Influence-Maximization
Top-K Influential Nodes in Social Networks: A Game Perspective (SIGIR'17)
yuzhimanhua/MICoL
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification (WWW'22)
yuzhimanhua/SeeTopic
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)
yuzhimanhua/FUTEX
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers (KDD'23)
yuzhimanhua/MotifClass
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information (WSDM'22)
yuzhimanhua/SciMult
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding (Findings of EMNLP'23)
yuzhimanhua/PENNER
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature (BIBM'18)
yuzhimanhua/SEType
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains (AAAI'24)
yuzhimanhua/Location-Inference
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation (CIKM'17)
yuzhimanhua/SciDocs
yuzhimanhua/yuzhimanhua.github.io
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