| 2026 | AAAI | TraceTrans: Translation and Spatial Tracing for Surgical Prediction. | Xiyu Luo, Haodong Li, Xinxing Cheng, He Zhao, Yang Hu, Xuan Song, Tianyang Zhang |
| 2026 | AAAI | Resilience Inference for Supply Chains with Hypergraph Neural Network. | Zetian Shen, Hongjun Wang, Jiyuan Chen, Xuan Song |
| 2026 | AAAI | HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution. | Hongjun Wang, Jiyuan Chen, Xuan Song, Yinqiang Zheng |
| 2026 | INFOCOM | Scaling Mobile IoT Connectivity with eSIM: A Temporal Event Modeling Approach. | Sicong Liao, Fei Yuan, Guosheng Wang, Lei Yang, Xuan Song |
| 2025 | ICCV | 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 |
| 2024 | IJCAI | Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. | Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song |
| 2024 | IJCAI | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. | Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song |
| 2024 | ICRA | HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios. | Hetian Guo, Yingzhi Peng, Zipei Fan, He Zhu, Xuan Song |
| 2024 | KDD | Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. | Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song |
| 2024 | KDD | Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model. | Zhiwen Zhang, Zipei Fan, Zewu Lv, Xuan Song, Ryosuke Shibasaki |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. | Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang |
| 2023 | CIKM | MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. | Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki |
| 2023 | CIKM | Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. | Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song |
| 2023 | CIKM | Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan. | Zhiwen Zhang, Hongjun Wang, Zipei Fan, Ryosuke Shibasaki, Xuan Song |
| 2023 | GLOBECOM | Conditional Matching GAN Guided Reconstruction Attack in Machine Unlearning. | Kaiyue Zhang, Weiqi Wang, Zipei Fan, Xuan Song, Shui Yu |
| 2023 | IJCAI | Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. | Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song |
| 2023 | IJCAI | 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 |
| 2023 | WWW | Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. | Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu |
| 2023 | WSDM | Towards an Event-Aware Urban Mobility Prediction System. | Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki |
| 2022 | AAAI | Event-Aware Multimodal Mobility Nowcasting. | Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki |
| 2022 | CIKM | Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. | Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song |
| 2022 | ICDE | DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). | Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki |
| 2022 | ICML | EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. | Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang |
| 2022 | SRDS | Compositional Model Checking of Consensus Protocols via Interaction-Preserving Abstraction. | Xiaosong Gu, Wei Cao, Yicong Zhu, Xuan Song, Yu Huang, Xiaoxing Ma |
| 2021 | CIKM | DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. | Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki |
| 2021 | CIKM | Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. | Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki |
| 2021 | ICDE | Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. | Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki |
| 2021 | KDD | ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. | Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang |
| 2020 | W2GIS | CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk. | Tianqi Xia, Adam Jatowt, Zhaonan Wang, Ruochen Si, Haoran Zhang, Xin Liu, Ryosuke Shibasaki, Xuan Song, Kyoung-Sook Kim |
| 2019 | KDD | DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. | Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki |
| 2018 | AAAI | 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 |
| 2016 | AAAI | Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference. | Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki |
| 2016 | IJCAI | 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 |
| 2016 | IJCAI | DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level. | Xuan Song, Hiroshi Kanasugi, Ryosuke Shibasaki |
| 2015 | AAAI | 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 |
| 2014 | AAAI | Intelligent System for Urban Emergency Management during Large-Scale Disaster. | Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki |
| 2014 | CVPR | When 3D Reconstruction Meets Ubiquitous RGB-D Images. | Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki |
| 2014 | CVPR | Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns. | Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki |
| 2014 | ICRA | Start from minimum labeling: Learning of 3D object models and point labeling from a large and complex environment. | Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki |
| 2014 | KDD | Prediction of human emergency behavior and their mobility following large-scale disaster. | Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki |
| 2013 | CVPR | 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 |
| 2013 | ICCV | Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes. | Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki |
| 2013 | ICRA | Unsupervised 3D category discovery and point labeling from a large urban environment. | Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki |
| 2013 | KDD | Modeling and probabilistic reasoning of population evacuation during large-scale disaster. | Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki |
| 2012 | ICRA | Laser-based intelligent surveillance and abnormality detection in extremely crowded scenarios. | Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, Hongbin Zha |
| 2011 | ICRA | A novel laser-based system: Fully online detection of abnormal activity via an unsupervised method. | Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao, Jinshi Cui, Hongbin Zha |
| 2010 | CVPR | 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 |
| 2010 | ICPADS | Accelerating Spatial Data Processing with MapReduce. | Kai Wang, Jizhong Han, Bibo Tu, Jiao Dai, Wei Zhou, Xuan Song |
| 2010 | ICRA | Fusion of laser and vision for multiple targets tracking via on-line learning. | Xuan Song, Huijing Zhao, Jinshi Cui, Xiaowei Shao, Ryosuke Shibasaki, Hongbin Zha |
| 2009 | ISRR | Combining Laser-Scanning Data and Images for Target Tracking and Scene Modeling. | Hongbin Zha, Huijing Zhao, Jinshi Cui, Xuan Song, Xianghua Ying |
| 2008 | BMVC | Probabilistic Detection-based Particle Filter for Multi-target Tracking. | Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao |
| 2008 | ECCV | Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning. | Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao |
| 2008 | ICRA | Tracking interacting targets with laser scanner via on-line supervised learning. | Xuan Song, Jinshi Cui, Xulei Wang, Huijing Zhao, Hongbin Zha |