Renhe Jiang

According to our database, Renhe Jiang authored at least 93 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Introduction to the Special Issue on Machine Learning and Location Data.

Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel

ACM Trans. Spatial Algorithms Syst., September, 2024

Hyper-relational knowledge graph neural network for next POI recommendation.

Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang, Renhe Jiang, Zipei Fan, Xuan Song

World Wide Web (WWW), July, 2024

Anomalous Sub-Trajectory Detection With Graph Contrastive Self-Supervised Learning.

Xiangjie Kong, Hang Lin, Renhe Jiang, Guojiang Shen

IEEE Trans. Veh. Technol., July, 2024

Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.

Zekun Cai, Renhe Jiang, Xinlei Lian, Chuang Yang, Zhaonan Wang, Zipei Fan, Kota Tsubouchi, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki

IEEE Trans. Mob. Comput., May, 2024

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization.

Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song

ACM Trans. Knowl. Discov. Data, January, 2024

Introduction to the Special Issue on Machine Learning and Location Data: Part II.

Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel

ACM Trans. Spatial Algorithms Syst., 2024

Extracting Spatiotemporal Data from Gradients with Large Language Models.

Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa

CoRR, 2024

Taming the Long Tail in Human Mobility Prediction.

Xiaohang Xu, Renhe Jiang, Chuang Yang, Zipei Fan, Kaoru Sezaki

CoRR, 2024

SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity.

Chuang Yang, Renhe Jiang, Xiaohang Xu, Chuan Xiao, Kaoru Sezaki

CoRR, 2024

Towards Neural Scaling Laws for Time Series Foundation Models.

Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan

CoRR, 2024

On Feature Decorrelation in Cloth-Changing Person Re-identification.

Hongjun Wang, Jiyuan Chen, Renhe Jiang, Xuan Song, Yinqiang Zheng

CoRR, 2024

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.

Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song

CoRR, 2024

Diffusion Models in 3D Vision: A Survey.

Zhen Wang, Dongyuan Li, Renhe Jiang

CoRR, 2024

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting.

Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song

CoRR, 2024

Robust Traffic Forecasting against Spatial Shift over Years.

Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song

CoRR, 2024

Non-Homophilic Graph Pre-Training and Prompt Learning.

Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang

CoRR, 2024

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs.

Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang

CoRR, 2024

Continuous Temporal Domain Generalization.

Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao

CoRR, 2024

A Survey on Deep Active Learning: Recent Advances and New Frontiers.

Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura

CoRR, 2024

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation.

Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Chuan Xiao

CoRR, 2024

Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events.

Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang

Artif. Intell., 2024

Multimodal Low-light Image Enhancement with Depth Information.

Zhen Wang, Dongyuan Li, Guang Li, Ziqing Zhang, Renhe Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.

Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting.

Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning.

Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Community-Invariant Graph Contrastive Learning.

Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection.

Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction.

Peizhi Tang, Chuang Yang, Tong Xing, Xiaohang Xu, Renhe Jiang, Kaoru Sezaki

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Human Mobility Prediction Challenge, 2024

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.

Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks.

Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa

Proceedings of the Database Systems for Advanced Applications, 2024

2023

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control.

Chuang Yang, Zhiwen Zhang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki

IEEE Trans. Vis. Comput. Graph., August, 2023

A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

IEEE Trans. Knowl. Data Eng., August, 2023

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.

Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song

World Wide Web (WWW), July, 2023

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction.

Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki

IEEE Trans. Knowl. Data Eng., 2023

MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction.

Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S. Shang

GeoInformatica, 2023

A Survey on Data-driven COVID-19 and Future Pandemic Management.

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

ACM Comput. Surv., 2023

Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting.

Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song

CoRR, 2023

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.

Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng

CoRR, 2023

STAEformer: 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

CoRR, 2023

Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility.

Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki

CoRR, 2023

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang

CoRR, 2023

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

Proceedings of the ACM Web Conference 2023, 2023

Metropolitan-scale Mobility Digital Twin.

Zipei Fan, Renhe Jiang, Ryosuke Shibasaki

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards an Event-Aware Urban Mobility Prediction System.

Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction.

Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting.

Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation.

Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System.

Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki

ACM Trans. Intell. Syst. Technol., 2022

Will you go where you search? A deep learning framework for estimating user search-and-go behavior.

Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki

Neurocomputing, 2022

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations.

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

CoRR, 2022

MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks.

Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset.

Haoyuan Ma, Mintao Zhou, Xiaodong Ouyang, Du Yin, Renhe Jiang, Xuan Song

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Online trajectory prediction for metropolitan scale mobility digital twin.

Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations.

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

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network.

Hangli Ge, Lifeng Lin, Renhe Jiang, Takashi Michikata, Noboru Koshizuka

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka.

Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki

Proceedings of the IEEE International Conference on Big Data, 2022

The Impact of COVID-19 on Human Mobility: A Case Study on New York.

Xinchen Hao, Renhe Jiang, Jiewen Deng, Xuan Song

Proceedings of the IEEE International Conference on Big Data, 2022

Learning Latent Road Correlations from Trajectories.

Zheng Dong, Quanjun Chen, Renhe Jiang, Huanchen Wang, Xuan Song, Hao Tian

Proceedings of the IEEE International Conference on Big Data, 2022

Event-Aware Multimodal Mobility Nowcasting.

Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.

Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang

ACM Trans. Knowl. Discov. Data, 2021

Transfer Urban Human Mobility via POI Embedding over Multiple Cities.

Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki

Trans. Data Sci., 2021

Documentation-based functional constraint generation for library methods.

Renhe Jiang, Zhengzhao Chen, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li

Softw. Test. Verification Reliab., 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Data-Driven In-Crisis Community Identification for Disaster Response and Management.

Yudong Tao, Renhe Jiang, Erik Coltey, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Mei-Ling Shyu, Shu-Ching Chen

Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Social-DPF: Socially Acceptable Distribution Prediction of Futures.

Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Human mobility based individual-level epidemic simulation platform.

Zipei Fan, Xuan Song, Yinghao Liu, Zhiwen Zhang, Chuang Yang, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki

ACM SIGSPATIAL Special, 2020

Enhancing example-based code search with functional semantics.

Zhengzhao Chen, Renhe Jiang, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li

J. Syst. Softw., 2020

Trajectory fingerprint: one-shot human trajectory identification using Siamese network.

Zipei Fan, Xuan Song, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Kota Tsubouchi

CCF Trans. Pervasive Comput. Interact., 2020

DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction.

Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, Xuan Song

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Multimodal Interaction-Aware Trajectory Prediction in Crowded Space.

Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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).

Zhengzhao Chen, Renhe Jiang, Minxue Pan, Tian Zhang, Xuandong Li

计算机科学, 2019

Decentralized Attention-based Personalized Human Mobility Prediction.

Zipei Fan, Xuan Song, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.

Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki

CoRR, 2019

A Variational Autoencoder Based Generative Model of Urban Human Mobility.

Dou Huang, Xuan Song, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Yu Zhang, Haizhong Wang, Yugo Kato

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Multiple Instance Learning for Human Trajectory Identification.

Zipei Fan, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Xuan Song, Kota Tsubouchi

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018

Deep ROI-Based Modeling for Urban Human Mobility Prediction.

Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Qi Chen, Ryosuke Shibasaki

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Online Deep Ensemble Learning for Predicting Citywide Human Mobility.

Zipei Fan, Xuan Song, Tianqi Xia, Renhe Jiang, Ryosuke Shibasaki, Ritsu Sakuramachi

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

[Research Paper] Semantics-Based Code Search Using Input/Output Examples.

Renhe Jiang, Zhengzhao Chen, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang

Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, 2018

DeepRailway: A Deep Learning System for Forecasting Railway Traffic.

Tianqi Xia, Xuan Song, Zipei Fan, Hiroshi Kanasugi, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

A Documentation-based Constraint Generation Method for Java APIs.

Zejun Zhang, Shaobo Wu, Renhe Jiang, Minxue Pan, Tian Zhang

Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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).

Renhe Jiang, Xiaomei Zheng, Xiaoqian Zhu, Minxue Pan, Tian Zhang

计算机科学, 2017

Outbound behavior analysis through social network data: A case study of Chinese people in Japan.

Tianqi Xia, Xuan Song, Dou Huang, Satoshi Miyazawa, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017