TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. - Jianliang Gao; Zhao Li 007; Fan Xiong; Xiangyue Liu; Jie Xiao 005; Biao Wang; Ji Zhang 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. - Jianliang Gao; Cong Xu; Huiling Huang; Xiaoting Ying; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (WI/IAT (Workshop/Special Session), 2021)

EMM-CLODS: An Effective Microcluster and Minimal Pruning CLustering-Based Technique for Detecting Outliers in Data Streams. - Mohamed Jaward Bah; Hongzhi Wang 001; Li-Hui Zhao; Ji Zhang 001; Jie Xiao 005 (Complex., 2021)

Quantum Entanglement Inspired Correlation Learning for Classification. - Junwei Zhang 009; Zhao Li 007; Juan Wang; Yinghui Wang; Shichang Hu; Jie Xiao 005; Zhaolin Li (PAKDD (2), 2022)

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. - Cong Xu; Huiling Huang; Xiaoting Ying; Jianliang Gao; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (Inf. Sci., 2022)

Anomaly Detection in Battery Charging Systems: A Deep Sequence Model Approach. - Li Zheng; Donghui Ding; Zhao Li 007; Jun Gao 003; Jie Xiao 005; Hongyang Chen; Schahram Dustdar; Ji Zhang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer. - Yufeng Ye; Qichao He; Peng Zhang 001; Jie Xiao 005; Zhao Li 007 (CloudNet, 2023)