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2020 – today
- 2024
[j7]Zekun Cai
, Renhe Jiang, Xinlei Lian, Chuang Yang, Zhaonan Wang, Zipei Fan, Kota Tsubouchi, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks. IEEE Trans. Mob. Comput. 23(5): 5433-5445 (2024)- [i7]Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao:
Continuous Temporal Domain Generalization. CoRR abs/2405.16075 (2024) - 2023
- [j6]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(1): 276-290 (2023) - [j5]Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song:
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7512-7525 (2023) - [c12]Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. CIKM 2023: 193-202 - [c11]Zekun Cai, Aiping Xiong:
Understand Users' Privacy Perception and Decision of V2X Communication in Connected Autonomous Vehicles. USENIX Security Symposium 2023: 2975-2992 - [i6]Zhiling Guo, Yinqiang Zheng, Haoran Zhang, Xiaodan Shi, Zekun Cai, Ryosuke Shibasaki, Jinyue Yan:
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling. CoRR abs/2306.13875 (2023) - [i5]Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. CoRR abs/2309.14216 (2023) - 2022
- [j4]Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki:
Will you go where you search? A deep learning framework for estimating user search-and-go behavior. Neurocomputing 472: 338-348 (2022) - [j3]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System. ACM Trans. Intell. Syst. Technol. 13(2): 21:1-21:24 (2022) - [c10]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka. IEEE Big Data 2022: 6676-6677 - [c9]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). ICDE 2022: 1519-1520 - [i4]Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song:
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction. CoRR abs/2205.07851 (2022) - 2021
- [j2]Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki:
Transfer Urban Human Mobility via POI Embedding over Multiple Cities. Trans. Data Sci. 2(1): 4:1-4:26 (2021) - [c8]Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki:
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. CIKM 2021: 2060-2069 - [c7]Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki:
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CIKM 2021: 4515-4525 - [c6]Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, Ryosuke Shibasaki:
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19. ECML/PKDD (4) 2021: 319-334 - [i3]Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki:
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CoRR abs/2108.09091 (2021) - 2020
- [c5]Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki:
Learn to Recover Visible Color for Video Surveillance in a Day. ECCV (1) 2020: 495-511 - [c4]Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, Xuan Song:
DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction. SIGSPATIAL/GIS 2020: 283-292
2010 – 2019
- 2019
- [j1]Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li:
Fine-grained probability counting for cardinality estimation of data streams. World Wide Web 22(5): 2065-2081 (2019) - [c3]Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki:
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. KDD 2019: 2114-2122 - [c2]Rui Liu, Zekun Cai, Michael Lewis, Joseph B. Lyons, Katia P. Sycara:
Trust Repair in Human-Swarm Teams+. RO-MAN 2019: 1-6 - [i2]Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki:
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction. CoRR abs/1911.06982 (2019) - 2018
- [c1]Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li:
Fine-Grained Probability Counting: Refined LogLog Algorithm. BigComp 2018: 176-183 - 2017
- [i1]Lun Wang, Damai Dai, Jie Jiang, Tong Yang, Xiaoke Jiang, Zekun Cai, Yang Li, Xiaoming Li:
FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video. CoRR abs/1704.06444 (2017)
Coauthor Index
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