Quanjun Chen

According to our database, Quanjun Chen authored at least 28 papers between 2009 and 2024.

Collaborative distances:

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

2024

Arbitrary Oriented Few-Shot Object Detection in Remote Sensing Images.

Wei Wu, Chengeng Jiang, Liao Yang, Weisheng Wang, Quanjun Chen, Junjian Zhang, Haiping Yang, Zuohui Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

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

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

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

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

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

A Geomagnetic Sensor Dataset for Traffic Flow Prediction.

Huanchen Wang, Quanjun Chen, Zheng Dong, Xuan Song, Hao Tian, Donglong Yang, Manxia Liu

Proceedings of the IEEE International Conference on Big Data, 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

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

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

Data-driven hospital personnel scheduling optimization through patients prediction.

Defan Feng, Yu Mo, Zhiyao Tang, Quanjun Chen, Haoran Zhang, Rajendra Akerkar, Xuan Song

CCF Trans. Pervasive Comput. Interact., 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

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

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

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

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 Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data.

Quanjun Chen, Xuan Song, Zipei Fan, Tianqi Xia, Harutoshi Yamada, Ryosuke Shibasaki

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

2016

Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference.

Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2013

Fusion of Infrared and Visible Images Using 2DPCA Bases.

Hong Zhang, Quanjun Chen, Ding Yuan, Yuhu You, Mingui Sun

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2010

An Energy-efficient Rate Adaptive Media Access Protocol (RA-MAC) for Long-lived Sensor Networks.

Wen Hu, Quanjun Chen, Peter Corke, Damien O'Rourke

Sensors, 2010

2009

Analysis and application of hop count in multi-hop wireless ad-hoc networks.

Quanjun Chen

PhD thesis, 2009