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Xuan Song

21 papers · 2013–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (103) 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze

Venues

AAAI (7) IJCAI (6) CVPR (3) ICCV (2) NeurIPS (2) ICML (1)

Top co-authors

Ryosuke Shibasaki (7) Renhe Jiang (7) Hongjun Wang (5) Jiyuan Chen (5) Huijing Zhao (4) Xiaowei Shao (4) Quanshi Zhang (4) Jinliang Deng (3) Hiroshi Kanasugi (2) Zipei Fan (2)

Research topics

Machine Learning (16) Deep Learning (11) Core Methods (9) Learning Types Β· Machine Learning (8) Computer Vision (7) Data Science & Analytics (6) Architectures (6) Learning Types Β· Deep Learning (6) Application Areas (5) Analysis (4) Methods (4) Artificial Intelligence (2) Reinforcement Learning (2) Applications (2) Core AI (2)

Keywords

time series forecasting (3) category modeling (3) graph neural network (3) representation learning (3) feature learning (2) domain adaptation (2) image super-resolution (2) spatio-temporal data (2) rgb-d image (2) traffic forecasting (2) graphical model (2) graph matching (2) unsupervised learning (2) model compression (2) spatiotemporal forecasting (2) curriculum learning (2) sparse representation (1) offline reinforcement learning (1) sequence modeling (1) semi-supervised learning (1)

Papers

HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution AAAI 2026 Resilience Inference for Supply Chains with Hypergraph Neural Network AAAI 2026 TraceTrans: Translation and Spatial Tracing for Surgical Prediction AAAI 2026 Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution ICCV 2025 Continuous Temporal Domain Generalization NeurIPS 2024 Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning IJCAI 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting IJCAI 2024 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 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 Learning Gaussian Mixture Representations for Tensor Time Series Forecasting IJCAI 2023 Spatio-Temporal Meta-Graph Learning for Traffic Forecasting AAAI 2023 EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022 Event-Aware Multimodal Mobility Nowcasting AAAI 2022 A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records IJCAI 2016 DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level IJCAI 2016 Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns CVPR 2014 When 3D Reconstruction Meets Ubiquitous RGB-D Images CVPR 2014 Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models CVPR 2013 Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes ICCV 2013