Analysis and application of hop count in multi-hop wireless ad-hoc networks. - Quanjun Chen (2009)

An Energy-efficient Rate Adaptive Media Access Protocol (RA-MAC) for Long-lived Sensor Networks. - Wen Hu 001; Quanjun Chen; Peter Corke; Damien O'Rourke (Sensors, 2010)

Fusion of Infrared and Visible Images Using 2DPCA Bases. - Hong Zhang 018; Quanjun Chen; Ding Yuan 001; Yuhu You; Mingui Sun (ACPR, 2013)

Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference. - Quanjun Chen; Xuan Song 001; Harutoshi Yamada; Ryosuke Shibasaki (AAAI, 2016)

DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Quanjun Chen; Satoshi Miyazawa; Ryosuke Shibasaki (AAAI, 2018)

A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data. - Quanjun Chen; Xuan Song 001; Zipei Fan; Tianqi Xia; Harutoshi Yamada; Ryosuke Shibasaki (MIPR, 2018)

DeepRailway: A Deep Learning System for Forecasting Railway Traffic. - Tianqi Xia; Xuan Song 001; Zipei Fan; Hiroshi Kanasugi; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki (MIPR, 2018)

Deep ROI-Based Modeling for Urban Human Mobility Prediction. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Quanjun Chen; Qi Chen 012; Ryosuke Shibasaki (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Deep Multiple Instance Learning for Human Trajectory Identification. - Zipei Fan; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki; Xuan Song 001; Kota Tsubouchi (SIGSPATIAL/GIS, 2019)

Decentralized Attention-based Personalized Human Mobility Prediction. - Zipei Fan; Xuan Song 001; Renhe Jiang; Quanjun Chen; Ryosuke Shibasaki (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction. - Quanjun Chen; Renhe Jiang; Chuang Yang 002; Zekun Cai; Zipei Fan; Kota Tsubouchi; Ryosuke Shibasaki; Xuan Song 001 (SIGSPATIAL/GIS, 2020)

Trajectory fingerprint: one-shot human trajectory identification using Siamese network. - Zipei Fan; Xuan Song 001; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki; Kota Tsubouchi (CCF Trans. Pervasive Comput. Interact., 2020)

Human mobility based individual-level epidemic simulation platform. - Zipei Fan; Xuan Song 001; Yinghao Liu; Zhiwen Zhang 004; Chuang Yang 002; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki (ACM SIGSPATIAL Special, 2020)

Data-driven hospital personnel scheduling optimization through patients prediction. - Defan Feng; Yu Mo; Zhiyao Tang; Quanjun Chen; Haoran Zhang 002; Rajendra Akerkar; Xuan Song 001 (CCF Trans. Pervasive Comput. Interact., 2021)

Transfer Urban Human Mobility via POI Embedding over Multiple Cities. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Zhaonan Wang 001; Quanjun Chen; Zekun Cai; Ryosuke Shibasaki (Trans. Data Sci., 2021)

Learning Latent Road Correlations from Trajectories. - Zheng Dong 006; Quanjun Chen; Renhe Jiang; Huanchen Wang; Xuan Song 001; Hao Tian (IEEE 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 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (IEEE Big Data, 2022)

A Geomagnetic Sensor Dataset for Traffic Flow Prediction. - Huanchen Wang; Quanjun Chen; Zheng Dong 006; Xuan Song 001; Hao Tian; Donglong Yang; Manxia Liu (IEEE Big Data, 2022)

Online trajectory prediction for metropolitan scale mobility digital twin. - Zipei Fan; Xiaojie Yang; Wei Yuan 004; Renhe Jiang; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (SIGSPATIAL/GIS, 2022)

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (ICDE, 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 001; Kota Tsubouchi; Ryosuke Shibasaki (Neurocomputing, 2022)

Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (ACM Trans. Intell. Syst. Technol., 2022)

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. - Renhe Jiang; Zhaonan Wang 001; Jiawei Yong; Puneet Jeph; Quanjun Chen; Yasumasa Kobayashi; Xuan Song 001; Shintaro Fukushima; Toyotaro Suzumura (AAAI, 2023)

Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CIKM, 2023)

STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CoRR, 2023)

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Knowl. Data Eng., 2023)

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control. - Chuang Yang 002; Zhiwen Zhang 004; Zipei Fan; Renhe Jiang; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Vis. Comput. Graph., 2023)

A Deep Learning Framework for Traffic Flow Prediction Based on Weighted Graph Convolutional Long Short Term Memory Network. - Kunpeng Li; Gui Gui; Quanjun Chen; Jiaqi Yi; Yuqian Zhao; Weihua Gui 001 (CBD, 2024)

Arbitrary Oriented Few-Shot Object Detection in Remote Sensing Images. - Wei Wu 029; Chengeng Jiang; Liao Yang; Weisheng Wang; Quanjun Chen; Junjian Zhang; Haiping Yang; Zuohui Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)