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Du Yin
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2020 – today
- 2024
- [j3]Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song:
TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. ACM Trans. Knowl. Discov. Data 18(1): 3:1-3:25 (2024) - [c5]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. SIGSPATIAL/GIS 2024: 42-53 - [i4]Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim:
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR abs/2406.12693 (2024) - [i3]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR abs/2406.12709 (2024) - 2023
- [j2]Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S. Shang:
MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction. GeoInformatica 27(1): 77-105 (2023) - [j1]Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song:
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation. World Wide Web (WWW) 26(4): 1625-1648 (2023) - [c4]Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song:
Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction. ECML/PKDD (6) 2023: 105-121 - [i2]Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang:
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. CoRR abs/2305.13036 (2023) - 2022
- [c3]Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song:
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. CIKM 2022: 4209-4213 - [c2]Haoyuan Ma, Mintao Zhou, Xiaodong Ouyang, Du Yin, Renhe Jiang, Xuan Song:
Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset. ITSC 2022: 3263-3268 - 2021
- [c1]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 - [i1]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)
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