Du Yin

19 papers A* 1A 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion.
CoRR
Lihuan Li, Du Yin, Hao Xue, David Lillo-Trynes, Flora Salim
2025 — conf
STOAT: Spatial-Temporal Probabilistic Causal Inference Network.
SIGSPATIAL/GIS
Yang Yang, Du Yin, Hao Xue, Flora Salim
2025 J jnl
STOAT: Spatial-Temporal Probabilistic Causal Inference Network.
CoRR
Yang Yang, Du Yin, Hao Xue, Flora Salim
2025 — conf
XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptation.
SIGSPATIAL/GIS
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora Salim
2024 J jnl
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2024 — conf
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
SIGSPATIAL/GIS
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
CoRR
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
GMINN: A Generative Moving Interactive Neural Network for Enhanced Short-Term Load Forecasting in Modern Electricity Markets.
IEEE Trans. Consumer Electron.
Choujun Zhan, Du Yin, Yingshan Shen, Tianyong Hao
2024 A* conf
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting.
NeurIPS
Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong
2024 J jnl
TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization.
ACM Trans. Knowl. Discov. Data
Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song
2024 J jnl
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges.
CoRR
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim
2023 J jnl
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.
World Wide Web (WWW)
Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song
2023 J jnl
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.
CoRR
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2023 J jnl
MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction.
GeoInformatica
Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S. Shang
2023 — conf
Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction.
ECML/PKDD (6)
Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song
2022 — conf
Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset.
ITSC
Haoyuan Ma, Mintao Zhou, Xiaodong Ouyang, Du Yin, Renhe Jiang, Xuan Song
2022 A conf
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.
CIKM
Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song
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