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Xuan Song 0001
Person information
- affiliation: Southern University of Science and Technology, SUSTech, UTokyo Joint Research Center on Super Smart City, Research Institute of Trustworthy Autonomous Systems, Department of Computer Science and Engineering, Japan
- affiliation: University of Tokyo, Japan
Other persons with the same name
- Xuan Song — disambiguation page
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2020 – today
- 2024
- [j61]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang:
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artif. Intell. 335: 104120 (2024) - [j60]Zezheng Feng, Yifan Jiang, Hongjun Wang, Zipei Fan, Yuxin Ma, Shuang-Hua Yang, Huamin Qu, Xuan Song:
TrafPS: A shapley-based visual analytics approach to interpret traffic. Comput. Vis. Media 10(6): 1101-1119 (2024) - [j59]Jiaqi Zhang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
A geometry-driven neural topic model for trip purpose inference. GeoInformatica 28(2): 313-333 (2024) - [j58]Jinyu Chen, Xiaodan Shi, Haoran Zhang, Wenjing Li, Peiran Li, Yuhao Yao, Xuan Song, Ryosuke Shibasaki:
Mutual Adaptation: Learning From Prototype for Time-Series Prediction. IEEE Trans. Artif. Intell. 5(3): 1247-1262 (2024) - [j57]Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song:
TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. ACM Trans. Knowl. Discov. Data 18(1): 3:1-3:25 (2024) - [j56]Zekun Cai, Renhe Jiang, Xinlei Lian, Chuang Yang, Zhaonan Wang, Zipei Fan, Kota Tsubouchi, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks. IEEE Trans. Mob. Comput. 23(5): 5433-5445 (2024) - [j55]Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan:
A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy. IEEE Trans. Mob. Comput. 23(12): 11781-11793 (2024) - [j54]Jinyu Chen, Xiaodan Shi, Haoran Zhang, Wenjing Li, Peiran Li, Yuhao Yao, Satoshi Miyazawa, Xuan Song, Ryosuke Shibasaki:
MobCovid: Confirmed Cases Dynamics Driven Time Series Prediction of Crowd in Urban Hotspot. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13397-13410 (2024) - [j53]Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang, Renhe Jiang, Zipei Fan, Xuan Song:
Hyper-relational knowledge graph neural network for next POI recommendation. World Wide Web (WWW) 27(4): 46 (2024) - [c69]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. SIGSPATIAL/GIS 2024: 42-53 - [c68]Hetian Guo, Yingzhi Peng, Zipei Fan, He Zhu, Xuan Song:
HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios. ICRA 2024: 14101-14108 - [c67]Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song:
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. IJCAI 2024: 2018-2026 - [c66]Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song:
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. IJCAI 2024: 3998-4006 - [c65]Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song:
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. KDD 2024: 631-641 - [c64]Zhiwen Zhang, Zipei Fan, Zewu Lv, Xuan Song, Ryosuke Shibasaki:
Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model. KDD 2024: 4398-4407 - [i42]Jinliang Deng, Xuan Song, Ivor W. Tsang, Hui Xiong:
The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting. CoRR abs/2401.11929 (2024) - [i41]Zezheng Feng, Yifan Jiang, Hongjun Wang, Zipei Fan, Yuxin Ma, Shuang-Hua Yang, Huamin Qu, Xuan Song:
TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic. CoRR abs/2403.04812 (2024) - [i40]Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan:
A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy. CoRR abs/2404.10401 (2024) - [i39]Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song:
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. CoRR abs/2405.03255 (2024) - [i38]Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song:
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. CoRR abs/2405.10800 (2024) - [i37]Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao:
Continuous Temporal Domain Generalization. CoRR abs/2405.16075 (2024) - [i36]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR abs/2406.12709 (2024) - [i35]Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
Robust Traffic Forecasting against Spatial Shift over Years. CoRR abs/2410.00373 (2024) - [i34]Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting. CoRR abs/2410.00385 (2024) - [i33]Hongjun Wang, Jiyuan Chen, Zhengwei Yin, Xuan Song, Yinqiang Zheng:
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification. CoRR abs/2410.03977 (2024) - [i32]Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song:
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario. CoRR abs/2410.04740 (2024) - [i31]Hongjun Wang, Jiyuan Chen, Renhe Jiang, Xuan Song, Yinqiang Zheng:
On Feature Decorrelation in Cloth-Changing Person Re-identification. CoRR abs/2410.05536 (2024) - [i30]Hongjun Wang, Jiyuan Chen, Lingyu Zhang, Renhe Jiang, Xuan Song:
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting. CoRR abs/2411.11448 (2024) - 2023
- [j52]Yudong Tao, Chuang Yang, Tianyi Wang, Erik Coltey, Yanxiu Jin, Yinghao Liu, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis:
A Survey on Data-driven COVID-19 and Future Pandemic Management. ACM Comput. Surv. 55(7): 141:1-141:36 (2023) - [j51]Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S. Shang:
MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction. GeoInformatica 27(1): 77-105 (2023) - [j50]Kaiyue Zhang, Zipei Fan, Xuan Song, Shui Yu:
Enhancing Trajectory Recovery From Gradients via Mobility Prior Knowledge. IEEE Internet Things J. 10(6, March 15): 5583-5594 (2023) - [j49]Mingxin Zhang, Zipei Fan, Ryosuke Shibasaki, Xuan Song:
Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization. IEEE Internet Things J. 10(15): 13662-13672 (2023) - [j48]Hongjun Wang, Zipei Fan, Jiyuan Chen, Lingyu Zhang, Xuan Song:
Discovering Key Sub-Trajectories to Explain Traffic Prediction. Sensors 23(1): 130 (2023) - [j47]Wenjing Li, Haoran Zhang, Jinyu Chen, Peiran Li, Yuhao Yao, Xiaodan Shi, Mariko Shibasaki, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data. IEEE Trans. Big Data 9(1): 227-240 (2023) - [j46]Wenjing Li, Xiaodan Shi, Dou Huang, Xudong Shen, Jinyu Chen, Hill Hiroki Kobayashi, Haoran Zhang, Xuan Song, Ryosuke Shibasaki:
PredLife: Predicting Fine-Grained Future Activity Patterns. IEEE Trans. Big Data 9(6): 1658-1669 (2023) - [j45]Zhiwen Zhang, Hongjun Wang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
Missing Road Condition Imputation Using a Multi-View Heterogeneous Graph Network From GPS Trajectory. IEEE Trans. Intell. Transp. Syst. 24(5): 4917-4931 (2023) - [j44]Yuhao Yao, Haoran Zhang, Jinyu Chen, Wenjing Li, Ryosuke Shibasaki, Xuan Song:
Mobility Tableau: Human Mobility Similarity Measurement for City Dynamics. IEEE Trans. Intell. Transp. Syst. 24(7): 7108-7121 (2023) - [j43]Yuhao Yao, Haoran Zhang, Lifeng Lin, Guixu Lin, Ryosuke Shibasaki, Xuan Song, Keping Yu:
Internet of Things Positioning Technology Based Intelligent Delivery System. IEEE Trans. Intell. Transp. Syst. 24(11): 12862-12876 (2023) - [j42]Yuhao Yao, Haoran Zhang, Xiaodan Shi, Jinyu Chen, Wenjing Li, Xuan Song, Ryosuke Shibasaki:
LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification. IEEE Trans. Intell. Transp. Syst. 24(12): 14306-14319 (2023) - [j41]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(1): 276-290 (2023) - [j40]Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song:
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7512-7525 (2023) - [j39]Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 35(8): 7665-7680 (2023) - [j38]Hongjun Wang, Zhiwen Zhang, Zipei Fan, Jiyuan Chen, Lingyu Zhang, Ryosuke Shibasaki, Xuan Song:
Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation. IEEE Trans. Knowl. Data Eng. 35(11): 11628-11641 (2023) - [j37]Yuhao Yao, Haoran Zhang, Defan Feng, Jinyu Chen, Wenjing Li, Ryosuke Shibasaki, Xuan Song:
Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration. IEEE Trans. Mob. Comput. 22(7): 4044-4055 (2023) - [j36]Peiran Li, Haoran Zhang, Wenjing Li, Keping Yu, Ali Kashif Bashir, Ahmad Ali AlZubi, Jinyu Chen, Xuan Song, Ryosuke Shibasaki:
IIoT Based Trustworthy Demographic Dynamics Tracking With Advanced Bayesian Learning. IEEE Trans. Netw. Sci. Eng. 10(5): 2745-2754 (2023) - [j35]Chuang Yang, Zhiwen Zhang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control. IEEE Trans. Vis. Comput. Graph. 29(8): 3586-3601 (2023) - [j34]Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song:
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation. World Wide Web (WWW) 26(4): 1625-1648 (2023) - [c63]Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang:
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. AAAI 2023: 4668-4675 - [c62]Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura:
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. AAAI 2023: 8078-8086 - [c61]Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. CIKM 2023: 193-202 - [c60]Zhiwen Zhang, Hongjun Wang, Zipei Fan, Ryosuke Shibasaki, Xuan Song:
Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan. CIKM 2023: 3524-3533 - [c59]Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song:
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. CIKM 2023: 4125-4129 - [c58]Kaiyue Zhang, Weiqi Wang, Zipei Fan, Xuan Song, Shui Yu:
Conditional Matching GAN Guided Reconstruction Attack in Machine Unlearning. GLOBECOM 2023: 44-49 - [c57]Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song:
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. IJCAI 2023: 2077-2085 - [c56]Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song:
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. IJCAI 2023: 2315-2323 - [c55]Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song:
Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction. ECML/PKDD (6) 2023: 105-121 - [c54]Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
Towards an Event-Aware Urban Mobility Prediction System. WSDM 2023: 1303-1304 - [c53]Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu:
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. WWW 2023: 2655-2665 - [i29]Hongjun Wang, Zhiwen Zhang, Zipei Fan, Jiyuan Chen, Lingyu Zhang, Ryosuke Shibasaki, Xuan Song:
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation. CoRR abs/2301.05336 (2023) - [i28]Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang:
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. CoRR abs/2305.13036 (2023) - [i27]Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song:
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. CoRR abs/2305.13115 (2023) - [i26]Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song:
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. CoRR abs/2306.00390 (2023) - [i25]Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility. CoRR abs/2306.14857 (2023) - [i24]Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song:
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. CoRR abs/2308.10425 (2023) - [i23]Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. CoRR abs/2309.14216 (2023) - [i22]Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang, Zipei Fan, Xuan Song:
Hyper-Relational Knowledge Graph Neural Network for Next POI. CoRR abs/2311.16683 (2023) - [i21]Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song:
Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting. CoRR abs/2312.00516 (2023) - [i20]Peiran Li, Haoran Zhang, Wenjing Li, Dou Huang, Jinyu Chen, Junxiang Zhang, Xuan Song, Pengjun Zhao, Ryosuke Shibasaki:
Learning to Generate Pseudo Personal Mobility. CoRR abs/2312.11289 (2023) - 2022
- [j33]Kaiyue Zhang, Xuan Song, Chenhan Zhang, Shui Yu:
Challenges and future directions of secure federated learning: a survey. Frontiers Comput. Sci. 16(5): 165817 (2022) - [j32]Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki:
Will you go where you search? A deep learning framework for estimating user search-and-go behavior. Neurocomputing 472: 338-348 (2022) - [j31]Dayin Chen, Xiaodan Shi, Xuan Song, Zhiheng Chen, Haoran Zhang:
Phone-based Ambient Temperature Measurement with a New Confidence-based Truth Inference Model. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 207:1-207:18 (2022) - [j30]Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, Ryosuke Shibasaki:
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation. IEEE Internet Things J. 9(23): 24107-24121 (2022) - [j29]Xuan Song, Haoran Zhang, Rajendra Akerkar, Huawei Huang, Song Guo, Lei Zhong, Yusheng Ji, Andreas L. Opdahl, Hemant Purohit, André Skupin, Akshay Pottathil, Aron Culotta:
Big Data and Emergency Management: Concepts, Methodologies, and Applications. IEEE Trans. Big Data 8(2): 397-419 (2022) - [j28]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System. ACM Trans. Intell. Syst. Technol. 13(2): 21:1-21:24 (2022) - [j27]Zipei Fan, Chuang Yang, Zhiwen Zhang, Xuan Song, Yinghao Liu, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki:
Human Mobility-based Individual-level Epidemic Simulation Platform. ACM Trans. Spatial Algorithms Syst. 8(3): 1-16 (2022) - [c52]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. AAAI 2022: 4228-4236 - [c51]Huanchen Wang, Quanjun Chen, Zheng Dong, Xuan Song, Hao Tian, Donglong Yang, Manxia Liu:
A Geomagnetic Sensor Dataset for Traffic Flow Prediction. IEEE Big Data 2022: 2419-2422 - [c50]Xinchen Hao, Renhe Jiang, Jiewen Deng, Xuan Song:
The Impact of COVID-19 on Human Mobility: A Case Study on New York. IEEE Big Data 2022: 4365-4374 - [c49]Zheng Dong, Quanjun Chen, Renhe Jiang, Huanchen Wang, Xuan Song, Hao Tian:
Learning Latent Road Correlations from Trajectories. IEEE Big Data 2022: 5458-5467 - [c48]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka. IEEE Big Data 2022: 6676-6677 - [c47]Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song:
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. CIKM 2022: 4209-4213 - [c46]Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
Online trajectory prediction for metropolitan scale mobility digital twin. SIGSPATIAL/GIS 2022: 103:1-103:12 - [c45]Zipei Fan, Guixu Lin, Wei Yuan, Ryosuke Shibasaki, Pengpeng E, Xuan Song:
Exploring intercity regional similarity using worldwide location-based social network data (demo paper). SIGSPATIAL/GIS 2022: 104:1-104:4 - [c44]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). ICDE 2022: 1519-1520 - [c43]Haoyuan Ma, Mintao Zhou, Xiaodong Ouyang, Du Yin, Renhe Jiang, Xuan Song:
Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset. ITSC 2022: 3263-3268 - [c42]Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks. ECML/PKDD (6) 2022: 453-468 - [c41]Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, Ryosuke Shibasaki:
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories. ECML/PKDD (6) 2022: 489-504 - [e2]Huayi Wu, Yu Liu, Jianzhong Li, Xiaofeng Meng, Qingfeng Guan, Xuan Song, Guoqiong Liao, Guoliang Li:
Spatial Data and Intelligence - Third International Conference, SpatialDI 2022, Wuhan, China, August 5-7, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13614, Springer 2022, ISBN 978-3-031-24520-6 [contents] - [i19]Yifan Jiang, Zezheng Feng, Hongjun Wang, Zipei Fan, Xuan Song:
TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley. CoRR abs/2203.06213 (2022) - [i18]Mingxin Zhang, Zipei Fan, Ryosuke Shibasaki, Xuan Song:
Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization. CoRR abs/2204.05184 (2022) - [i17]Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song:
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction. CoRR abs/2205.07851 (2022) - [i16]Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, Ryosuke Shibasaki:
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories. CoRR abs/2206.10418 (2022) - [i15]Zhiwen Zhang, Hongjun Wang, Jiyuan Chen, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation. CoRR abs/2207.00838 (2022) - [i14]Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin. CoRR abs/2207.03575 (2022) - [i13]Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura:
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. CoRR abs/2211.14701 (2022) - [i12]Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Boyuan Zhang, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Xuan Song:
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. CoRR abs/2211.15182 (2022) - 2021
- [j26]Defan Feng, Yu Mo, Zhiyao Tang, Quanjun Chen, Haoran Zhang, Rajendra Akerkar, Xuan Song:
Data-driven hospital personnel scheduling optimization through patients prediction. CCF Trans. Pervasive Comput. Interact. 3(1): 40-56 (2021) - [j25]Yinghao Liu, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction. Sensors 21(24): 8282 (2021) - [j24]Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki:
Transfer Urban Human Mobility via POI Embedding over Multiple Cities. Trans. Data Sci. 2(1): 4:1-4:26 (2021) - [j23]Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang:
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. ACM Trans. Knowl. Discov. Data 15(6): 103:1-103:25 (2021) - [c40]Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki:
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. CIKM 2021: 2060-2069 - [c39]Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki:
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CIKM 2021: 4515-4525 - [c38]Yudong Tao, Renhe Jiang, Erik Coltey, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Mei-Ling Shyu, Shu-Ching Chen:
Data-Driven In-Crisis Community Identification for Disaster Response and Management. CIC 2021: 96-104 - [c37]Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki:
Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. ICDE 2021: 1751-1762 - [c36]Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. KDD 2021: 269-278 - [c35]Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, Ryosuke Shibasaki:
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19. ECML/PKDD (4) 2021: 319-334 - [i11]Guixu Lin, Peiran Li, Yicheng Zhao, Haoran Zhang, Xuan Song:
Small World Model for scaling up prediction result based on SEIR model. CoRR abs/2104.06658 (2021) - [i10]Wenjing Li, Haoran Zhang, Jinyu Chen, Peiran Li, Yuhao Yao, Mariko Shibasaki, Xuan Song, Ryosuke Shibasaki:
Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data. CoRR abs/2104.11968 (2021) - [i9]Yuhao Yao, Haoran Zhang, Jinyu Chen, Wenjing Li, Mariko Shibasaki, Ryosuke Shibasaki, Xuan Song:
Mobsimilarity: Vector Graph Optimization for Mobility Tableau Comparison. CoRR abs/2104.13139 (2021) - [i8]Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki:
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CoRR abs/2108.09091 (2021) - [i7]Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. CoRR abs/2109.01657 (2021) - [i6]Jinyu Chen, Haoran Zhang, Xuan Song, Ryosuke Shibasaki:
An open GPS trajectory dataset and benchmark for travel mode detection. CoRR abs/2109.08527 (2021) - [i5]Dou Huang, Haoran Zhang, Xuan Song, Ryosuke Shibasaki:
Differentiable Projection for Constrained Deep Learning. CoRR abs/2111.10785 (2021) - [i4]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. CoRR abs/2112.08443 (2021) - 2020
- [j22]Zipei Fan, Xuan Song, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Kota Tsubouchi:
Trajectory fingerprint: one-shot human trajectory identification using Siamese network. CCF Trans. Pervasive Comput. Interact. 2(2): 113-125 (2020) - [j21]Viet-Ha Nhu, Phuong-Thao Thi Ngo, Tien Dat Pham, Jie Dou, Xuan Song, Nhat-Duc Hoang, An Dang Tran, Phan Cao Duong, Ibrahim Berkan Aydilek, Mahdis Amiri, Romulus Costache, Pham Viet Hoa, Dieu Tien Bui:
A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping. Remote. Sens. 12(17): 2688 (2020) - [j20]Zipei Fan, Xuan Song, Yinghao Liu, Zhiwen Zhang, Chuang Yang, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki:
Human mobility based individual-level epidemic simulation platform. ACM SIGSPATIAL Special 12(1): 34-40 (2020) - [c34]Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, Xuan Song:
DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction. SIGSPATIAL/GIS 2020: 283-292 - [c33]Tianqi Xia, Adam Jatowt, Zhaonan Wang, Ruochen Si, Haoran Zhang, Xin Liu, Ryosuke Shibasaki, Xuan Song, Kyoung-Sook Kim:
CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk. W2GIS 2020: 14-23 - [i3]Zhiwen Zhang, Chuang Yang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control. CoRR abs/2007.03180 (2020)
2010 – 2019
- 2019
- [j19]Quanshi Zhang, Xuan Song, Yu Yang, Haotian Ma, Ryosuke Shibasaki:
Visual graph mining for graph matching. Comput. Vis. Image Underst. 178: 16-29 (2019) - [j18]Satoshi Miyazawa, Xuan Song, Tianqi Xia, Ryosuke Shibasaki, Hodaka Kaneda:
Integrating GPS trajectory and topics from Twitter stream for human mobility estimation. Frontiers Comput. Sci. 13(3): 460-470 (2019) - [j17]Zipei Fan, Xuan Song, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki:
Decentralized Attention-based Personalized Human Mobility Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 133:1-133:26 (2019) - [j16]Ali P. Yunus, Jie Dou, Xuan Song, Ram Avtar:
Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images. Sensors 19(12): 2788 (2019) - [j15]Xuan Song, Song Guo, Haizhong Wang:
Guest editorial: special issue on big data for effective disaster management (In Memorial of Tao Li). World Wide Web 22(5): 1889-1891 (2019) - [c32]Zipei Fan, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Xuan Song, Kota Tsubouchi:
Deep Multiple Instance Learning for Human Trajectory Identification. SIGSPATIAL/GIS 2019: 512-515 - [c31]Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki:
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. KDD 2019: 2114-2122 - [c30]Dou Huang, Xuan Song, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Yu Zhang, Haizhong Wang, Yugo Kato:
A Variational Autoencoder Based Generative Model of Urban Human Mobility. MIPR 2019: 425-430 - [e1]Akihito Sudo, Yoshihide Sekimoto, Lau Hoong Chin, Xuan Song, Takahiro Yabe:
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility, PredictGIS 2018, Seattle, WA, USA, November 6, 2018. ACM 2019, ISBN 978-1-4503-6042-5 [contents] - [i2]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki:
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction. CoRR abs/1911.06982 (2019) - 2018
- [j14]Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Qi Chen, Ryosuke Shibasaki:
Deep ROI-Based Modeling for Urban Human Mobility Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 14:1-14:29 (2018) - [j13]Zipei Fan, Xuan Song, Tianqi Xia, Renhe Jiang, Ryosuke Shibasaki, Ritsu Sakuramachi:
Online Deep Ensemble Learning for Predicting Citywide Human Mobility. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 105:1-105:21 (2018) - [j12]Akihito Sudo, Yoshihide Sekimoto, Lau Honng Chuin, Xuan Song, Takahiro Yabe:
Predictgis 2018 workshop report held in conjunction with ACM SIGSPATIAL 2018. ACM SIGSPATIAL Special 10(3): 26-27 (2018) - [j11]Tao Li, Xuan Song, Shu-Ching Chen, Ryosuke Shibasaki, Rajendra Akerkar:
Editorial Introduction to the Special Issue on Multimedia Big Data for Extreme Events. IEEE Trans. Multim. 20(10): 2547-2550 (2018) - [c29]Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki:
DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. AAAI 2018: 784-791 - [c28]Tianqi Xia, Xuan Song, Zipei Fan, Hiroshi Kanasugi, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki:
DeepRailway: A Deep Learning System for Forecasting Railway Traffic. MIPR 2018: 51-56 - [c27]Quanjun Chen, Xuan Song, Zipei Fan, Tianqi Xia, Harutoshi Yamada, Ryosuke Shibasaki:
A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data. MIPR 2018: 346-351 - 2017
- [j10]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie:
Prediction and Simulation of Human Mobility Following Natural Disasters. ACM Trans. Intell. Syst. Technol. 8(2): 29:1-29:23 (2017) - [j9]Xuan Song, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie, Tao Li, Ryutaro Adachi:
DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data. ACM Trans. Inf. Syst. 35(4): 41:1-41:19 (2017) - [c26]Tianqi Xia, Xuan Song, Dou Huang, Satoshi Miyazawa, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki:
Outbound behavior analysis through social network data: A case study of Chinese people in Japan. IEEE BigData 2017: 2778-2786 - [i1]Quanshi Zhang, Xuan Song, Ryosuke Shibasaki:
Visual Graph Mining. CoRR abs/1708.03921 (2017) - 2016
- [j8]Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki:
Object Discovery: Soft Attributed Graph Mining. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 532-545 (2016) - [c25]Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki:
Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference. AAAI 2016: 338-344 - [c24]Akihito Sudo, Takehiro Kashiyama, Takahiro Yabe, Hiroshi Kanasugi, Xuan Song, Tomoyuki Higuchi, Shin'ya Nakano, Masaya M. Saito, Yoshihide Sekimoto:
Particle filter for real-time human mobility prediction following unprecedented disaster. SIGSPATIAL/GIS 2016: 5:1-5:10 - [c23]Zipei Fan, Xuan Song, Ryosuke Shibasaki, Tao Li, Hodaka Kaneda:
CityCoupling: bridging intercity human mobility. UbiComp 2016: 718-728 - [c22]Zipei Fan, Ayumi Arai, Xuan Song, Apichon Witayangkurn, Hiroshi Kanasugi, Ryosuke Shibasaki:
A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records. IJCAI 2016: 2500-2506 - [c21]Xuan Song, Hiroshi Kanasugi, Ryosuke Shibasaki:
DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level. IJCAI 2016: 2618-2624 - 2015
- [j7]Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki:
From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models. ACM Trans. Intell. Syst. Technol. 6(2): 16:1-16:29 (2015) - [c20]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie:
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. AAAI 2015: 730-736 - [c19]Zipei Fan, Xuan Song, Ryosuke Shibasaki, Ryutaro Adachi:
CityMomentum: an online approach for crowd behavior prediction at a citywide level. UbiComp 2015: 559-569 - 2014
- [c18]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki:
Intelligent System for Urban Emergency Management during Large-Scale Disaster. AAAI 2014: 458-464 - [c17]Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki:
When 3D Reconstruction Meets Ubiquitous RGB-D Images. CVPR 2014: 700-707 - [c16]Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki:
Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns. CVPR 2014: 1394-1401 - [c15]Zipei Fan, Xuan Song, Ryosuke Shibasaki:
CitySpectrum: a non-negative tensor factorization approach. UbiComp 2014: 213-223 - [c14]Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki:
Start from minimum labeling: Learning of 3D object models and point labeling from a large and complex environment. ICRA 2014: 3082-3089 - [c13]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki:
Prediction of human emergency behavior and their mobility following large-scale disaster. KDD 2014: 5-14 - 2013
- [j6]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki:
Intelligent System for Human Behavior Analysis and Reasoning Following Large-Scale Disasters. IEEE Intell. Syst. 28(4): 35-42 (2013) - [j5]Quanshi Zhang, Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao:
Unsupervised skeleton extraction and motion capture from 3D deformable matching. Neurocomputing 100: 170-182 (2013) - [j4]Xuan Song, Jinshi Cui, Huijing Zhao, Hongbin Zha, Ryosuke Shibasaki:
Laser-based tracking of multiple interacting pedestrians via on-line learning. Neurocomputing 115: 92-105 (2013) - [j3]Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, Hongbin Zha:
A novel dynamic model for multiple pedestrians tracking in extremely crowded scenarios. Inf. Fusion 14(3): 301-310 (2013) - [j2]Xuan Song, Huijing Zhao, Jinshi Cui, Xiaowei Shao, Ryosuke Shibasaki, Hongbin Zha:
An online system for multiple interacting targets tracking: Fusion of laser and vision, tracking and learning. ACM Trans. Intell. Syst. Technol. 4(1): 18:1-18:21 (2013) - [j1]Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, Jinshi Cui, Hongbin Zha:
A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection. ACM Trans. Intell. Syst. Technol. 4(2): 35:1-35:21 (2013) - [c12]Quanshi Zhang, Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao:
Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models. CVPR 2013: 193-200 - [c11]Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki:
Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes. ICCV 2013: 1329-1336 - [c10]Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, Ryosuke Shibasaki:
Unsupervised 3D category discovery and point labeling from a large urban environment. ICRA 2013: 2685-2692 - [c9]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki:
Modeling and probabilistic reasoning of population evacuation during large-scale disaster. KDD 2013: 1231-1239 - 2012
- [c8]Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, Hongbin Zha:
Laser-based intelligent surveillance and abnormality detection in extremely crowded scenarios. ICRA 2012: 2170-2176 - 2011
- [c7]Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao, Jinshi Cui, Hongbin Zha:
A novel laser-based system: Fully online detection of abnormal activity via an unsupervised method. ICRA 2011: 1317-1322 - 2010
- [c6]Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui, Ryosuke Shibasaki, Hongbin Zha:
An online approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene. CVPR 2010: 739-746 - [c5]Xuan Song, Huijing Zhao, Jinshi Cui, Xiaowei Shao, Ryosuke Shibasaki, Hongbin Zha:
Fusion of laser and vision for multiple targets tracking via on-line learning. ICRA 2010: 406-411
2000 – 2009
- 2009
- [c4]Hongbin Zha, Huijing Zhao, Jinshi Cui, Xuan Song, Xianghua Ying:
Combining Laser-Scanning Data and Images for Target Tracking and Scene Modeling. ISRR 2009: 573-587 - 2008
- [c3]Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao:
Probabilistic Detection-based Particle Filter for Multi-target Tracking. BMVC 2008: 1-10 - [c2]Xuan Song, Jinshi Cui, Hongbin Zha, Huijing Zhao:
Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning. ECCV (3) 2008: 642-655 - [c1]Xuan Song, Jinshi Cui, Xulei Wang, Huijing Zhao, Hongbin Zha:
Tracking interacting targets with laser scanner via on-line supervised learning. ICRA 2008: 2271-2276
Coauthor Index
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