Hongbin Pei
10 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (5)
π
Renaissance Researcher
(9)
π
Interdisciplinary Bridge
π
Grand Slam
π
Century Club
(10)
Conferences
AAAI (3)
CVPR (2)
ICML (2)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
interactive learning
(1)
domain generalization
(1)
variational inference
(1)
gradient-based optimization
(1)
optimal transport
(1)
multimodal learning
(1)
knowledge graph question answering
(1)
person re-identification
(1)
bayesian model
(1)
posterior distribution
(1)
kullback-leibler divergence
(1)
graph embedding
(1)
posterior approximation
(1)
geometric graph neural network
(1)
bayesian neural network
(1)
dataset bia
(1)
property prediction
(1)
multi-agent debate
(1)
reasoning framework
(1)
metric learning
(1)
Papers
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
AAAI 2025
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
ICML 2025
TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer
CVPR 2025
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
ICML 2024
HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning
AAAI 2024
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
NIPS 2024
Generalized Variational Inference via Optimal Transport
AAAI 2024
Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification
CVPR 2022
Geom-GCN: Geometric Graph Convolutional Networks
ICLR 2020
Curvature Regularization to Prevent Distortion in Graph Embedding
NIPS 2020