DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. - Renhe Jiang; Du Yin; Zhaonan Wang 001; Yizhuo Wang; Jiewen Deng; Hangchen Liu; Zekun Cai; Jinliang Deng; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. - Yongkang Li 002; Zipei Fan; Jixiao Zhang; Dengheng Shi; Tianqi Xu; Du Yin; Jinliang Deng; Xuan Song 001 (CIKM, 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 001 (ITSC, 2022)

Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction. - Yizhuo Wang; Renhe Jiang; Hangchen Liu; Du Yin; Xuan Song 001 (ECML/PKDD (6), 2023)

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Du Yin; Yi Yang 001; Xuan Song 001; Ivor W. Tsang (CoRR, 2023)

MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction. - Du Yin; Renhe Jiang; Jiewen Deng; Yongkang Li 002; Yi Xie; Zhongyi Wang; Yifan Zhou; Xuan Song 001; Jedi S. Shang (GeoInformatica, 2023)

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation. - Yongkang Li 002; Zipei Fan; Du Yin; Renhe Jiang; Jinliang Deng; Xuan Song 001 (World Wide Web (WWW), 2023)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. - Du Yin; Jinliang Deng; Shuang Ao; Zechen Li; Hao Xue 001; Arian Prabowo; Renhe Jiang; Xuan Song 001; Flora D. Salim (SIGSPATIAL/GIS, 2024)

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting. - Jinliang Deng; Feiyang Ye 001; Du Yin; Xuan Song 001; Ivor W. Tsang; Hui Xiong 001 (NeurIPS, 2024)

XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. - Du Yin; Hao Xue 001; Arian Prabowo; Shuang Ao; Flora D. Salim (CoRR, 2024)

Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Du Yin; Yi Yang 001; Xuan Song 001; Ivor W. Tsang (IEEE Trans. Knowl. Data Eng., 2024)

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. - Jiewen Deng; Jinliang Deng; Du Yin; Renhe Jiang; Xuan Song 001 (ACM Trans. Knowl. Discov. Data, 2024)

GMINN: A Generative Moving Interactive Neural Network for Enhanced Short-Term Load Forecasting in Modern Electricity Markets. - Choujun Zhan; Du Yin; Yingshan Shen; Tianyong Hao (IEEE Trans. Consumer Electron., 2024)

Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion. - Lihuan Li; Du Yin; Hao Xue 001; David Lillo-Trynes; Flora Salim (CoRR, 2025)

STOAT: Spatial-Temporal Probabilistic Causal Inference Network. - Yang Yang; Du Yin; Hao Xue 001; Flora Salim (CoRR, 2025)