← Authors

Yaqing Wang

29 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (80) 🧬 Topic Evolution πŸ† Grand Slam ❓ The Questioner πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (138) πŸ“ˆ Trend Setter ⚑ Prolific Year (6)

Conferences

EMNLP (9) AAAI (5) NIPS (3) CVPR (2) ICML (2) NAACL (2) ACL (1) COLING (1) ECCV (1) ICLR (1) IJCAI (1) JMLR (1)

Top co-authors

Jing Gao (9) Quanming Yao (7) Fenglong Ma (5) Dejing Dou (5) Haoyu Wang (4) Tianci Liu (3) Junyu Luo (3) Jiaqi Wang (3) Xiaochen Wang (3) Yi Liang (3)

Keywords

transfer learning (6) few-shot learning (6) graph neural network (4) representation learning (3) multimodal learning (3) in-context learning (3) model compression (3) medical ai (2) pre-trained language model (2) early exiting (2) mixture of expert (2) layer skipping (2) molecular property prediction (2) relation graph (2) short text classification (2) parameter-efficient fine-tuning (2) multi-label classification (2) semantic similarity (2) low-rank adaptation (2) inference efficiency (2)

Papers

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
Why In-Context Learning Models are Good Few-Shot Learners? ICLR 2025
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
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation ECCV 2024
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning COLING 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction NIPS 2024
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity ICML 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference EMNLP 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model CVPR 2023
Hierarchical Pretraining on Multimodal Electronic Health Records EMNLP 2023
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023
Simplified Graph Learning for Inductive Short Text Classification EMNLP 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NIPS 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 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
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners NAACL 2022
Knowledge-Guided Paraphrase Identification EMNLP 2021
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification EMNLP 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction NIPS 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
Online Convolutional Sparse Coding with Sample-Dependent Dictionary ICML 2018