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2020 – today
- 2024
- [j25]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) - [j24]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) - [j23]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) - [j22]Xiangjie Kong, Hang Lin, Renhe Jiang, Guojiang Shen:
Anomalous Sub-Trajectory Detection With Graph Contrastive Self-Supervised Learning. IEEE Trans. Veh. Technol. 73(7): 9800-9811 (2024) - [j21]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) - [c41]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: 747-760 - [c40]Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura:
Community-Invariant Graph Contrastive Learning. ICML 2024 - [c39]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 - [i26]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 abs/2402.14744 (2024) - [i25]Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura:
A Survey on Deep Active Learning: Recent Advances and New Frontiers. CoRR abs/2405.00334 (2024) - [i24]Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura:
Community-Invariant Graph Contrastive Learning. CoRR abs/2405.01350 (2024) - [i23]Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song:
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. CoRR abs/2405.03255 (2024) - [i22]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) - [i21]Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao:
Continuous Temporal Domain Generalization. CoRR abs/2405.16075 (2024) - [i20]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) - [i19]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 abs/2407.08529 (2024) - [i18]Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang:
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. CoRR abs/2408.06966 (2024) - 2023
- [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]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: 94:1-94:10 - [c33]Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song:
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. IJCAI 2023: 2077-2085 - [c32]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 - [c31]Zipei Fan, Renhe Jiang, Ryosuke Shibasaki:
Metropolitan-scale Mobility Digital Twin. WSDM 2023: 1301-1302 - [c30]Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
Towards an Event-Aware Urban Mobility Prediction System. WSDM 2023: 1303-1304 - [c29]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 - [i17]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) - [i16]Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song:
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. CoRR abs/2306.00390 (2023) - [i15]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) - [i14]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) - [i13]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) - [i12]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 abs/2310.01224 (2023) - [i11]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 abs/2311.16191 (2023) - [i10]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) - 2022
- [j14]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) - [j13]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) - [j12]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) - [c28]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. AAAI 2022: 4228-4236 - [c27]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 - [c26]Zheng Dong, Quanjun Chen, Renhe Jiang, Huanchen Wang, Xuan Song, Hao Tian:
Learning Latent Road Correlations from Trajectories. IEEE Big Data 2022: 5458-5467 - [c25]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 - [c24]Hangli Ge, Lifeng Lin, Renhe Jiang, Takashi Michikata, Noboru Koshizuka:
Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network. COMPSAC 2022: 374-382 - [c23]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: 1-7 - [c22]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 - [c21]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 - [c20]Renhe Jiang, Zhengzhao Chen, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li:
Documentation-based functional constraint generation for library methods. ICST 2022: 463 - [c19]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 - [c18]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 - [i9]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 abs/2203.14188 (2022) - [i8]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) - [i7]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) - [i6]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
- [j11]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) - [j10]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) - [j9]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) - [c17]Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki:
Social-DPF: Socially Acceptable Distribution Prediction of Futures. AAAI 2021: 2550-2557 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [i5]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) - [i4]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) - [i3]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. CoRR abs/2112.08443 (2021) - 2020
- [j8]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) - [j7]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: 110568 (2020) - [j6]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) - [c10]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: 11982-11989 - [c9]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 - [i2]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
- [j5]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) - [j4]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): 137-144 (2019) - [c8]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 - [c7]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 - [c6]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 - [i1]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
- [j3]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) - [j2]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) - [c5]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 - [c4]Zejun Zhang, Shaobo Wu, Renhe Jiang, Minxue Pan, Tian Zhang:
A Documentation-based Constraint Generation Method for Java APIs. Internetware 2018: 4:1-4:10 - [c3]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 - [c2]Renhe Jiang, Zhengzhao Chen, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang:
[Research Paper] Semantics-Based Code Search Using Input/Output Examples. SCAM 2018: 92-102 - 2017
- [j1]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): 69-79 (2017) - [c1]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
Coauthor Index
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