Zekun Cai

According to our database, Zekun Cai authored at least 22 papers between 2017 and 2024.

Collaborative distances:

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

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

2023

ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.

Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song

IEEE Trans. Knowl. Data Eng., 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

Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling.

Zhiling Guo, Yinqiang Zheng, Haoran Zhang, Xiaodan Shi, Zekun Cai, Ryosuke Shibasaki, Jinyue Yan

CoRR, 2023

Understand Users' Privacy Perception and Decision of V2X Communication in Connected Autonomous Vehicles.

Zekun Cai, Aiping Xiong

Proceedings of the 32nd USENIX Security Symposium, 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

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

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

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

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

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

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

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, Yimin Guo, Ryosuke Shibasaki

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Fine-grained probability counting for cardinality estimation of data streams.

Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li

World Wide Web, 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

Trust Repair in Human-Swarm Teams+.

Rui Liu, Zekun Cai, Michael Lewis, Joseph B. Lyons, Katia P. Sycara

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 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

2018

Fine-Grained Probability Counting: Refined LogLog Algorithm.

Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video.

Lun Wang, Damai Dai, Jie Jiang, Tong Yang, Xiaoke Jiang, Zekun Cai, Yang Li, Xiaoming Li

CoRR, 2017