Yaqing Wang
29 papers · 2018–2026 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yaqing Wang?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jing Gao, Fenglong Ma, Haoyu Wang
12 papers
· 2020–2024
· EMNLP, AAAI, COLING
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CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning
COLING 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
NeurIPS 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
ACL 2024
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference
EMNLP 2023
Hierarchical Pretraining on Multimodal Electronic Health Records
EMNLP 2023
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding
EMNLP 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
AAAI 2023
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
EMNLP 2022
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners
NAACL 2022
Knowledge-Guided Paraphrase Identification
EMNLP 2021
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
EMNLP 2021
Weak Supervision for Fake News Detection via Reinforcement Learning
AAAI 2020
5 papers whose co-authors appear nowhere else under this name
From Few-Shot Learning to Data-Efficient Intelligence
AAAI 2026
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
AAAI 2026
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
AAAI 2026
RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations
EMNLP 2025
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
CVPR 2024