Peak-Hour Subway Passenger Flow Forecasting: A Tensor Based Approach. - Pingjun Pan; Haiyang Wang; Longyuan Li; Yongkun Wang; Yaohui Jin (ITSC, 2018)

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. - Longyuan Li; Junchi Yan; Xiaokang Yang 001; Yaohui Jin (IJCAI, 2019)

Differential Privacy with Variant-Noise for Gaussian Processes Classification. - Zhili Xiong; Longyuan Li; Junchi Yan; Haiyang Wang; Hao He 007; Yaohui Jin (PRICAI (3), 2019)

Decoding Spiking Mechanism with Dynamic Learning on Neuron Population. - Zhijie Chen; Junchi Yan; Longyuan Li; Xiaokang Yang 001 (CoRR, 2019)

Online detection of abnormal passenger out-flow in urban metro system. - Haiyang Wang; Longyuan Li; Pingjun Pan; Yongkun Wang; Yaohui Jin (Neurocomputing, 2019)

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. - Longyuan Li; Jihai Zhang 002; Junchi Yan; Yaohui Jin; Yunhao Zhang; Yanjie Duan; Guangjian Tian (AAAI, 2021)

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. - Longyuan Li; Jian Yao 004; Li K. Wenliang; Tong He 002; Tianjun Xiao; Junchi Yan; David Wipf; Zheng Zhang 001 (NeurIPS, 2021)

Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder. - Longyuan Li; Junchi Yan; Haiyang Wang; Yaohui Jin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. - Longyuan Li; Junchi Yan; Qingsong Wen; Yaohui Jin; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. - Longyuan Li; Junchi Yan; Yunhao Zhang; Jihai Zhang 002; Jie Bao; Yaohui Jin; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Enhancing Unsupervised Anomaly Detection With Score-Guided Network. - Zongyuan Huang; Baohua Zhang; Guoqiang Hu; Longyuan Li; Yanyan Xu 002; Yaohui Jin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting. - Zheng Wang; Kaixuan Zhang; Wanfang Chen; Xiaonan Lu; Longyuan Li; Tobias Schlagenhauf (CoRR, 2025)