Yangkun Wang
9 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Conference Polyglot (7) π Interdisciplinary Bridge
π
Cross-Pollinator
(11)
π₯
Unstoppable
(5)
β
The Questioner
(2)
Conferences
ICLR (3)
ACL (1)
COLING (1)
EMNLP (1)
ICML (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(3)
text classification
(2)
node classification
(2)
representation learning
(2)
gradient-based optimization
(1)
attention mechanism
(1)
toxicity detection
(1)
content moderation
(1)
responsible ai
(1)
message passing
(1)
proximal gradient descent
(1)
deep equilibrium model
(1)
language model
(1)
tabular datum
(1)
prompt optimization
(1)
user interaction
(1)
continuous representation
(1)
dialogue system
(1)
entity recognition
(1)
discrete search space
(1)
Papers
Direct Prompt Optimization with Continuous Representations
ACL 2025
Implicit vs Unfolded Graph Neural Networks
JMLR 2025
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
COLING 2024
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
EMNLP 2023
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
ICLR 2022
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
NIPS 2022
Inductive Relation Prediction Using Analogy Subgraph Embeddings
ICLR 2022
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
ICLR 2022
Graph Neural Networks Inspired by Classical Iterative Algorithms
ICML 2021