FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video. - Lun Wang 001; Damai Dai; Jie Jiang 008; Tong Yang 003; Xiaoke Jiang; Zekun Cai; Yang Li; Xiaoming Li 001 (CoRR, 2017)

Fine-Grained Probability Counting: Refined LogLog Algorithm. - Lun Wang 001; Zekun Cai; Hao Wang 005; Jie Jiang 008; Tong Yang 003; Bin Cui 001; Xiaoming Li 001 (BigComp, 2018)

DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. - Renhe Jiang; Xuan Song 001; Dou Huang; Xiaoya Song; Tianqi Xia; Zekun Cai; Zhaonan Wang 001; Kyoung-Sook Kim 001; Ryosuke Shibasaki (KDD, 2019)

Trust Repair in Human-Swarm Teams+. - Rui Liu; Zekun Cai; Michael Lewis 001; Joseph B. Lyons; Katia P. Sycara (RO-MAN, 2019)

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Xuan Song 001; Kota Tsubouchi; Ryosuke Shibasaki (CoRR, 2019)

Fine-grained probability counting for cardinality estimation of data streams. - Lun Wang 001; Tong Yang 003; Hao Wang 005; Jie Jiang 008; Zekun Cai; Bin Cui 001; Xiaoming Li 001 (World Wide Web, 2019)

Learn to Recover Visible Color for Video Surveillance in a Day. - Guangming Wu; Yinqiang Zheng; Zhiling Guo; Zekun Cai; Xiaodan Shi; Xin Ding; Yifei Huang 002; Yimin Guo; Ryosuke Shibasaki (ECCV (1), 2020)

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)

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. - Renhe Jiang; Du Yin; Zhaonan Wang 001; Yizhuo Wang; Jiewen Deng; Hangchen Liu; Zekun Cai; Jinliang Deng; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. - Zhaonan Wang 001; Renhe Jiang; Zekun Cai; Zipei Fan; Xin Liu 020; Kyoung-Sook Kim 001; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19. - Renhe Jiang; Zhaonan Wang 001; Zekun Cai; Chuang Yang 002; Zipei Fan; Tianqi Xia; Go Matsubara; Hiroto Mizuseki; Xuan Song 001; Ryosuke Shibasaki (ECML/PKDD (4), 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)

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)

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)

MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. - Zekun Cai; Renhe Jiang; Xinyu Yang; Zhaonan Wang 001; Diansheng Guo; Hill Hiroki Kobayashi; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2023)

Understand Users' Privacy Perception and Decision of V2X Communication in Connected Autonomous Vehicles. - Zekun Cai; Aiping Xiong (USENIX Security Symposium, 2023)

Poster: Effects of Knowledge and Experience on Drivers' Intention to Use CAVs. - Zekun Cai; Aiping Xiong (VehicleSec, 2023)

Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling. - Zhiling Guo; Yinqiang Zheng; Haoran Zhang 002; Xiaodan Shi; Zekun Cai; Ryosuke Shibasaki; Jinyue Yan (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)

ST-ExpertNet: A Deep Expert Framework for Traffic Prediction. - Hongjun Wang 007; Jiyuan Chen; Zipei Fan; Zhiwen Zhang 004; Zekun Cai; Xuan Song 001 (IEEE Trans. Knowl. Data Eng., 2023)

Continuous Temporal Domain Generalization. - Zekun Cai; Guangji Bai; Renhe Jiang; Xuan Song 001; Liang Zhao 002 (NeurIPS, 2024)

Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks. - Zekun Cai; Renhe Jiang; Xinlei Lian; Chuang Yang 002; Zhaonan Wang 001; Zipei Fan; Kota Tsubouchi; Hill Hiroki Kobayashi; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Mob. Comput., 2024)

Human Drivers' Awareness of Utility and Privacy Risks of Vehicle-to-Everything Communication: A Driving Simulator Study. - Zekun Cai; Rao Li; Aiping Xiong (VehicleSec, 2025)

Continuous Domain Generalization. - Zekun Cai; Yiheng Yao; Guangji Bai; Renhe Jiang; Xuan Song 001; Ryosuke Shibasaki; Liang Zhao 002 (CoRR, 2025)