Chenxiao Yang
14 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(5)
π
Grand Slam
π€
Dynamic Duo
(11)
π
Century Club
(14)
π₯
Unstoppable
(5)
Conferences
ICLR (4)
ICML (4)
NIPS (4)
AAAI (1)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(3)
knowledge distillation
(2)
contrastive learning
(1)
multi-task learning
(1)
variational inference
(1)
collaborative filtering
(1)
self-supervised learning
(1)
graph representation learning
(1)
model architecture
(1)
graph representation
(1)
out-of-distribution generalization
(1)
message passing
(1)
large-scale learning
(1)
generalization error
(1)
distribution shift
(1)
node classification
(1)
sequential recommendation
(1)
inference acceleration
(1)
geometric property
(1)
recommender system
(1)
Papers
PENCIL: Long Thoughts with Short Memory
ICML 2025
Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
ICLR 2025
Supercharging Graph Transformers with Advective Diffusion
ICML 2025
Learning Divergence Fields for Shift-Robust Graph Representations
ICML 2024
How Graph Neural Networks Learn: Lessons from Training Dynamics
ICML 2024
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
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
ICLR 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
NIPS 2023
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
IJCAI 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
NIPS 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
NIPS 2022
Cross-Task Knowledge Distillation in Multi-Task Recommendation
AAAI 2022
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
NIPS 2021