Song, Xuan

29 publications

NeurIPS 2025 Continuous Domain Generalization Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao

ICCV 2025 Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution Hongjun Wang, Jiyuan Chen, Zhengwei Yin, Xuan Song, Yinqiang Zheng

NeurIPS 2024 Continuous Temporal Domain Generalization Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao

IJCAI 2024 Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song

NeurIPS 2024 Parsimony or Capability? Decomposition Delivers Both in Long-Term Time Series Forecasting Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor Tsang, Hui Xiong

IJCAI 2024 Spatial-Temporal-Decoupled Masked Pre-Training for Spatiotemporal Forecasting Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song

AAAI 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang

IJCAI 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice Towards Powerful Attention Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song

AAAI 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang

IJCAI 2023 Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

ECML-PKDD 2023 Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song

AAAI 2023 Spatio-Temporal Meta-Graph Learning for Traffic Forecasting Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura

ICML 2022 EAT-C: Environment-Adversarial Sub-Task Curriculum for Efficient Reinforcement Learning Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang

AAAI 2022 Event-Aware Multimodal Mobility Nowcasting Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki

ECML-PKDD 2022 MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki

ECML-PKDD 2022 Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, Ryosuke Shibasaki

ECML-PKDD 2021 Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19 Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, Ryosuke Shibasaki

AAAI 2018 DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki

IJCAI 2016 A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records Zipei Fan, Ayumi Arai, Xuan Song, Apichon Witayangkurn, Hiroshi Kanasugi, Ryosuke Shibasaki

IJCAI 2016 DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level Xuan Song, Hiroshi Kanasugi, Ryosuke Shibasaki

AAAI 2016 Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki

AAAI 2015 A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie

CVPR 2014 Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki

AAAI 2014 Intelligent System for Urban Emergency Management During Large-Scale Disaster Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki

CVPR 2014 When 3D Reconstruction Meets Ubiquitous RGB-D Images Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki

CVPR 2013 Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models Quanshi Zhang, Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao

ICCV 2013 Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki

CVPR 2010 An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui, Ryosuke Shibasaki, Hongbin Zha

ECCV 2008 Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao