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 Quanming Yao, Dejing Dou, Shiguang Wu
9 papers
· 2018–2025
· NeurIPS, EMNLP, ICLR
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Why In-Context Learning Models are Good Few-Shot Learners?
ICLR 2025
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
IJCAI 2024
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
NeurIPS 2022
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
JMLR 2022
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning
NAACL 2022
Simplified Graph Learning for Inductive Short Text Classification
EMNLP 2022
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
EMNLP 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
NeurIPS 2021
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
ICML 2018
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