SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction. - Yi Xie 003; Yun Xiong; Yangyong Zhu (DASFAA (1), 2020)

ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting. - Yi Xie 003; Yun Xiong; Yangyong Zhu (CoRR, 2020)

Concurrent Transformer for Spatial-Temporal Graph Modeling. - Yi Xie 003; Yun Xiong; Yangyong Zhu; Philip S. Yu; Cheng Jin; Qiang Wang; Haihong Li (DASFAA (3), 2022)

Temporal super-resolution traffic flow forecasting via continuous-time network dynamics. - Yi Xie 003; Yun Xiong; Jiawei Zhang 001; Chao Chen 004; Yao Zhang 009; Jie Zhao 022; Yizhu Jiao; Jinjing Zhao; Yangyong Zhu (Knowl. Inf. Syst., 2023)

Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering. - Shuaibin Huang; Yun Xiong; Yi Xie 003; Tianyu Qiu; Guangzhong Wang (CIKM, 2024)

Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance. - Yi Xie 003; Tianyu Qiu; Yun Xiong; Xiuqi Huang; Xiaofeng Gao 001; Chao Chen 004; Qiang Wang; Haihong Li (KDD, 2024)

An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis. - Yi Xie 003; Tianyu Qiu; Yun Xiong; Xiuqi Huang; Xiaofeng Gao 001; Chao Chen 004 (CoRR, 2024)

LAMEE: a light all-MLP framework for time series prediction empowering recommendations. - Yi Xie 003; Yun Xiong; Xiaofeng Gao 001; Jiadong Chen; Yao Zhang 009; Xian Wu; Chao Chen 004 (World Wide Web (WWW), 2024)

Enhancing Masked Time-Series Modeling via Dropping Patches. - Tianyu Qiu; Yi Xie 003; Hao Niu; Yun Xiong; Xiaofeng Gao 001 (AAAI, 2025)

The language of time: a language model perspective on time-series foundation models. - Yi Xie 003; Yun Xiong; Zejian Shi; Hao Niu; Zhengfu Liu (CoRR, 2025)