Haoteng YIN
5 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (17) π Renaissance Researcher (5)
π
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Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Core Methods
(3)
Deep Learning
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications Β· Natural Language Processing
(1)
Applications Β· Data Science & Analytics
(1)
Generation
(1)
Keywords
graph neural network
(2)
probabilistic modeling
(1)
bayesian inference
(1)
trajectory prediction
(1)
motion forecasting
(1)
permutation equivariance
(1)
deep learning
(1)
time series prediction
(1)
random walk
(1)
distribution shift
(1)
knowledge graph
(1)
relu activation
(1)
variational autoencoder
(1)
language model
(1)
node classification
(1)
positional encoding
(1)
node feature
(1)
pedestrian trajectory
(1)
structured data
(1)
graph convolutional network
(1)
Papers
How to Talk to Language Models: Serialization Strategies for Structured Entity Matching
NAACL 2025
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
AAAI 2024
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
ICLR 2022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
NeurIPS 2022
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
IJCAI 2018