Zekun Cai

31 papers A* 4A 3B 2Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Manifold-Aware Temporal Domain Generalization for Large Language Models.
CoRR
Yiheng Yao, Zekun Cai, Xinyuan Song, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki, Liang Zhao
2025 J jnl
Continuous Domain Generalization.
CoRR
Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao
2025 — conf
Human Drivers' Awareness of Utility and Privacy Risks of Vehicle-to-Everything Communication: A Driving Simulator Study.
VehicleSec
Zekun Cai, Rao Li, Aiping Xiong
2024 A* conf
Continuous Temporal Domain Generalization.
NeurIPS
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Continuous Temporal Domain Generalization.
CoRR
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.
IEEE Trans. Mob. Comput.
Zekun Cai, Renhe Jiang, Xinlei Lian, Chuang Yang, Zhaonan Wang, Zipei Fan, Kota Tsubouchi, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki
2023 J jnl
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction.
IEEE Trans. Knowl. Data Eng.
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki
2023 A conf
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation.
CIKM
Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki
2023 J jnl
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation.
CoRR
Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki
2023 — conf
Poster: Effects of Knowledge and Experience on Drivers' Intention to Use CAVs.
VehicleSec
Zekun Cai, Aiping Xiong
2023 J jnl
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling.
CoRR
Zhiling Guo, Yinqiang Zheng, Haoran Zhang, Xiaodan Shi, Zekun Cai, Ryosuke Shibasaki, Jinyue Yan
2023 J jnl
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.
IEEE Trans. Knowl. Data Eng.
Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song
2023 A* conf
Understand Users' Privacy Perception and Decision of V2X Communication in Connected Autonomous Vehicles.
USENIX Security Symposium
Zekun Cai, Aiping Xiong
2022 A* conf
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract).
ICDE
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki
2022 J jnl
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System.
ACM Trans. Intell. Syst. Technol.
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
2022 J jnl
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.
CoRR
Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song
2022 J jnl
Will you go where you search? A deep learning framework for estimating user search-and-go behavior.
Neurocomputing
Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki
2022 B conf
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka.
IEEE Big Data
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki
2021 — conf
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19.
ECML/PKDD (4)
Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, Ryosuke Shibasaki
2021 A conf
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction.
CIKM
Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
2021 J jnl
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction.
CoRR
Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
2021 A conf
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.
CIKM
Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki
2021 J jnl
Transfer Urban Human Mobility via POI Embedding over Multiple Cities.
Trans. Data Sci.
Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki
2020 — conf
DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction.
SIGSPATIAL/GIS
Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, Xuan Song
2020 — conf
Learn to Recover Visible Color for Video Surveillance in a Day.
ECCV (1)
Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki
2019 A* conf
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events.
KDD
Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki
2019 J jnl
Fine-grained probability counting for cardinality estimation of data streams.
World Wide Web
Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li
2019 B conf
Trust Repair in Human-Swarm Teams+.
RO-MAN
Rui Liu, Zekun Cai, Michael Lewis, Joseph B. Lyons, Katia P. Sycara
2019 J jnl
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.
CoRR
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki
2018 — conf
Fine-Grained Probability Counting: Refined LogLog Algorithm.
BigComp
Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li
2017 J jnl
FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video.
CoRR
Lun Wang, Damai Dai, Jie Jiang, Tong Yang, Xiaoke Jiang, Zekun Cai, Yang Li, Xiaoming Li