Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis. - Le Yu 004; Bowen Du 001; Xiao Hu 006; Leilei Sun; Weifeng Lv; Runhe Huang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Predicting Temporal Sets with Deep Neural Networks. - Le Yu 004; Leilei Sun; Bowen Du 001; Chuanren Liu; Hui Xiong 001; Weifeng Lv (KDD, 2020)

Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning. - Le Yu 004; Leilei Sun; Bowen Du 001; Chuanren Liu; Weifeng Lv; Hui Xiong 001 (CoRR, 2020)

Modelling the epidemic dynamics of COVID-19 with consideration of human mobility. - Bowen Du 001; Zirong Zhao; Jiejie Zhao; Le Yu 004; Leilei Sun; Weifeng Lv (Int. J. Data Sci. Anal., 2021)

Deep spatio-temporal graph convolutional network for traffic accident prediction. - Le Yu 004; Bowen Du 001; Xiao Hu 006; Leilei Sun; Liangzhe Han; Weifeng Lv (Neurocomputing, 2021)

Deep Heterogeneous Network for Temporal Set Prediction. - Nannan Shi; Le Yu 004; Leilei Sun; Lihua Wang; Chunming Lin; Ruixing Zhang (Knowl. Based Syst., 2021)

Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction. - Le Yu 004; Guanghui Wu; Leilei Sun; Bowen Du 001; Weifeng Lv (WWW, 2022)

Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction. - Le Yu 004; Zihang Liu 001; Tongyu Zhu; Leilei Sun; Bowen Du 001; Weifeng Lv (CoRR, 2022)

Adaptive Spatio-temporal Graph Neural Network for traffic forecasting. - Xuxiang Ta; Zihan Liu; Xiao Hu 006; Le Yu 004; Leilei Sun; Bowen Du 001 (Knowl. Based Syst., 2022)

Predicting Temporal Sets with Simplified Fully Connected Networks. - Le Yu 004; Zihang Liu 001; Tongyu Zhu; Leilei Sun; Bowen Du 001; Weifeng Lv (AAAI, 2023)

Pretraining Language Models with Text-Attributed Heterogeneous Graphs. - Tao Zou 003; Le Yu 004; Yifei Huang 003; Leilei Sun; Bowen Du 001 (EMNLP (Findings), 2023)

Continuous-Time Graph Learning for Cascade Popularity Prediction. - Xiaodong Lu; Shuo Ji; Le Yu 004; Leilei Sun; Bowen Du 001; Tongyu Zhu (IJCAI, 2023)

Towards Better Dynamic Graph Learning: New Architecture and Unified Library. - Le Yu 004; Leilei Sun; Bowen Du 001; Weifeng Lv (NeurIPS, 2023)

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. - Tao Zou 003; Le Yu 004; Leilei Sun; Bowen Du 001; Deqing Wang; Fuzhen Zhuang (CoRR, 2023)

A Simple Framework for Multi-mode Spatial-Temporal Data Modeling. - Zihang Liu 001; Le Yu 004; Tongyu Zhu; Leilei Sun (CoRR, 2023)

Heterogeneous Graph Representation Learning With Relation Awareness. - Le Yu 004; Leilei Sun; Bowen Du 001; Chuanren Liu; Weifeng Lv; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification. - Le Yu 004; Leilei Sun; Bowen Du 001; Tongyu Zhu; Weifeng Lv (IEEE Trans. Knowl. Data Eng., 2023)

Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks. - Zihang Liu 001; Le Yu 004; Weimiao Li; Tongyu Zhu; Leilei Sun (KSEM (3), 2024)

Continuous-Time User Preference Modelling for Temporal Sets Prediction. - Le Yu 004; Zihang Liu 001; Leilei Sun; Bowen Du 001; Chuanren Liu; Weifeng Lv (IEEE Trans. Knowl. Data Eng., 2024)

Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. - Tao Zou 003; Le Yu 004; Leilei Sun; Bowen Du 001; Deqing Wang; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2024)

Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification. - Tao Zou 003; Le Yu 004; Junchen Ye; Leilei Sun; Bowen Du 001; Deqing Wang (ACM Trans. Inf. Syst., 2024)