Du Yin

According to our database, Du Yin authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization.

Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song

ACM Trans. Knowl. Discov. Data, January, 2024

2023

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.

Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song

World Wide Web (WWW), July, 2023

MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction.

Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S. Shang

GeoInformatica, 2023

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang

CoRR, 2023

Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction.

Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset.

Haoyuan Ma, Mintao Zhou, Xiaodong Ouyang, Du Yin, Renhe Jiang, Xuan Song

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.

Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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