Xuan Song
21 papers · 2013–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(40)
β‘
Prolific Year
(5)
π
Conference Pioneer
β
The Questioner
π₯
Unstoppable
(5)
π
Century Club
(18)
ποΈ
Keyword Collector
(104)
π
Trend Setter
Conferences
AAAI (7)
IJCAI (6)
CVPR (3)
ICCV (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
time series forecasting
(3)
category modeling
(3)
representation learning
(3)
graph neural network
(3)
feature learning
(2)
image super-resolution
(2)
curriculum learning
(2)
rgb-d image
(2)
traffic forecasting
(2)
graphical model
(2)
graph matching
(2)
unsupervised learning
(2)
domain adaptation
(2)
model compression
(2)
spatio-temporal datum
(2)
sparse representation
(1)
offline reinforcement learning
(1)
sequence modeling
(1)
semi-supervised learning
(1)
medical imaging
(1)
Papers
TraceTrans: Translation and Spatial Tracing for Surgical Prediction
AAAI 2026
Resilience Inference for Supply Chains with Hypergraph Neural Network
AAAI 2026
HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution
AAAI 2026
Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution
ICCV 2025
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
IJCAI 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
NIPS 2024
Continuous Temporal Domain Generalization
NIPS 2024
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
IJCAI 2024
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
AAAI 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
AAAI 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
IJCAI 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
IJCAI 2023
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
AAAI 2023
Event-Aware Multimodal Mobility Nowcasting
AAAI 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
ICML 2022
DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level
IJCAI 2016
A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records
IJCAI 2016
When 3D Reconstruction Meets Ubiquitous RGB-D Images
CVPR 2014
Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns
CVPR 2014
Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes
ICCV 2013
Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models
CVPR 2013