Chenxiao Yang
15 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(11)
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Grand Slam
π§¬
Topic Evolution
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(75)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(11)
Architectures
(9)
Artificial Intelligence
(7)
Core AI
(6)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Core Methods
(3)
Optimization & Theory
(3)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Applications
(1)
Generation
(1)
Keywords
graph neural network
(7)
message passing
(3)
knowledge distillation
(2)
representation learning
(2)
generalization error
(2)
causal inference
(2)
node classification
(2)
transformer
(2)
chain-of-thought reasoning
(2)
few-shot learning
(1)
graph representation learning
(1)
multi-task learning
(1)
in-context learning
(1)
self-supervised learning
(1)
collaborative filtering
(1)
semi-supervised learning
(1)
graph representation
(1)
robustness
(1)
out-of-distribution generalization
(1)
model architecture
(1)
Papers
Tight Sample Complexity of Transformers
COLT 2026
Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
ICLR 2025
PENCIL: Long Thoughts with Short Memory
ICML 2025
Supercharging Graph Transformers with Advective Diffusion
ICML 2025
How Graph Neural Networks Learn: Lessons from Training Dynamics
ICML 2024
Learning Divergence Fields for Shift-Robust Graph Representations
ICML 2024
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
ICLR 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks
ICLR 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
ICLR 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
NeurIPS 2023
Cross-Task Knowledge Distillation in Multi-Task Recommendation
AAAI 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
NeurIPS 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
NeurIPS 2022
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
IJCAI 2022
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
NeurIPS 2021