Renhe Jiang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 91

Top Topics

Parameter Learning

Frequency Domain

Top Venues

Publications

Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Chuan Xiao
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. CoRR (2024)
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) (2024)
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora Salim
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR (2024)
Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. CoRR (2024)
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) (2024)
Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks. CoRR (2024)
Xiangjie Kong, Hang Lin, Renhe Jiang, Guojiang Shen
Anomalous Sub-Trajectory Detection With Graph Contrastive Self-Supervised Learning. IEEE Trans. Veh. Technol. 73 (7) (2024)
Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura
Community-Invariant Graph Contrastive Learning. CoRR (2024)
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)
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. ICDE (2024)
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 (2024)
Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura
A Survey on Deep Active Learning: Recent Advances and New Frontiers. CoRR (2024)
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) (2024)
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 (2024)
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
Continuous Temporal Domain Generalization. CoRR (2024)
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) (2023)
Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki
Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility. CoRR (2023)
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) (2023)
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) (2023)
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 (2023)
Zipei Fan, Renhe Jiang, Ryosuke Shibasaki
Metropolitan-scale Mobility Digital Twin. WSDM (2023)
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. CoRR (2023)
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) (2023)
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)
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) (2023)
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) (2023)
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. IJCAI (2023)
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)
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)
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 (2023)
Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Xuan Song
Spatio-Temporal-Decoupled Masked Pre-training for Traffic Forecasting. CoRR (2023)
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 (2023)
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)
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)
Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki
Towards an Event-Aware Urban Mobility Prediction System. WSDM (2023)
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. CoRR (2023)
Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. SIGSPATIAL/GIS (2023)
Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. CoRR (2023)
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)
Xinchen Hao, Renhe Jiang, Jiewen Deng, Xuan Song
The Impact of COVID-19 on Human Mobility: A Case Study on New York. Big Data (2022)
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)
Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Toyotaro Suzumura, Shintaro Fukushima
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling. CoRR (2022)
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 (2022)
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) (2022)
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. Big Data (2022)
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
Event-Aware Multimodal Mobility Nowcasting. AAAI (2022)
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hill Hiroki Kobayashi, Shin Matsushima, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. CoRR (2022)
Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki
MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks. ECML/PKDD (6) (2022)
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) (2022)
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 (2022)
Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin. CoRR (2022)
Zheng Dong, Quanjun Chen, Renhe Jiang, Huanchen Wang, Xuan Song, Hao Tian
Learning Latent Road Correlations from Trajectories. Big Data (2022)
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)
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)
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 (2022)
Renhe Jiang, Zhengzhao Chen, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li
Documentation-based functional constraint generation for library methods. ICST (2022)
Hangli Ge, Lifeng Lin, Renhe Jiang, Takashi Michikata, Noboru Koshizuka
Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network. COMPSAC (2022)
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hill Hiroki Kobayashi, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. DASC/PiCom/CBDCom/CyberSciTech (2022)
Renhe Jiang, Zhengzhao Chen, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li
Documentation-based functional constraint generation for library methods. Softw. Test. Verification Reliab. 31 (8) (2021)
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)
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)
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) (2021)
Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki
Social-DPF: Socially Acceptable Distribution Prediction of Futures. AAAI (2021)
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
Event-Aware Multimodal Mobility Nowcasting. CoRR (2021)
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 (2021)
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)
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 (2021)
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)
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)
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) (2021)
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)
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) (2020)
Zhengzhao Chen, Renhe Jiang, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li
Enhancing example-based code search with functional semantics. J. Syst. Softw. 165 (2020)
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)
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 (2020)
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) (2020)
Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki
Multimodal Interaction-Aware Trajectory Prediction in Crowded Space. AAAI (2020)
Zhengzhao Chen, Renhe Jiang, Minxue Pan, Tian Zhang, Xuandong Li
基于约束求解的代码查询技术在StackOverflow上的实证研究 (Empirical Study of Code Query Technique Based on Constraint Solving on StackOverflow). 计算机科学 46 (11) (2019)
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) (2019)
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)
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)
Zipei Fan, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Xuan Song, Kota Tsubouchi
Deep Multiple Instance Learning for Human Trajectory Identification. SIGSPATIAL/GIS (2019)
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 (2019)
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)
Zejun Zhang, Shaobo Wu, Renhe Jiang, Minxue Pan, Tian Zhang
A Documentation-based Constraint Generation Method for Java APIs. Internetware (2018)
Renhe Jiang, Zhengzhao Chen, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang
[Research Paper] Semantics-Based Code Search Using Input/Output Examples. SCAM (2018)
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) (2018)
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)
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) (2018)
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)
Renhe Jiang, Xiaomei Zheng, Xiaoqian Zhu, Minxue Pan, Tian Zhang
一种基于UML关系的Java代码库构造方法 (Method of Java Code Repository Construction Based on UML Relationship). 计算机科学 44 (11) (2017)