Adaptive Feature Selection Based on the Most Informative Graph-Based Features. - Lixin Cui; Yuhang Jiao 001; Lu Bai 001; Luca Rossi 004; Edwin R. Hancock (GbRPR, 2017)

A Deep Hybrid Graph Kernel Through Deep Learning Networks. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (ICPR, 2018)

A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Zhihong Zhang 001; Yuhang Jiao 001; Edwin R. Hancock (S+SSPR, 2018)

Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. - Yuhang Jiao 001; Lixin Cui; Lu Bai 001; Yue Wang 014 (S+SSPR, 2018)

A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. - Lu Bai 001; Yuhang Jiao 001; Luca Rossi 004; Lixin Cui; Jian Cheng 001; Edwin R. Hancock (CoRR, 2018)

An Attributed Graph Embedding Method Using the Tree-Index Algorithm. - Yuhang Jiao 001; Yueting Yang; Lixin Cui; Lu Bai 001 (GbRPR, 2019)

Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Edwin R. Hancock (ECML/PKDD (1), 2019)

Learning Vertex Convolutional Networks for Graph Classification. - Lu Bai 001; Lixin Cui; Shu Wu; Yuhang Jiao 001; Edwin R. Hancock (CoRR, 2019)

A Novel Hybrid Clustering Algorithm for Topic Detection on Chinese Microblogging. - Xiao Geng; Yanmei Zhang; Yuhang Jiao 001; Yinan Mei (IEEE Trans. Comput. Soc. Syst., 2019)

Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. - Zhao Li 007; Xin Shen; Yuhang Jiao 001; Xuming Pan; Pengcheng Zou; Xianling Meng; Chengwei Yao; Jiajun Bu (ICDE, 2020)

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (IJCAI, 2020)

Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. - Yue He 001; Yancheng Dong; Peng Cui 001; Yuhang Jiao 001; Xiaowei Wang; Ji Liu 002; Philip S. Yu (KDD, 2021)

Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (ICDE, 2022)

Prototype Feature Extraction for Multi-task Learning. - Shen Xin; Yuhang Jiao 001; Cheng Long 001; Yuguang Wang; Xiaowei Wang; Sen Yang 004; Ji Liu 002; Jie Zhang 002 (WWW, 2022)

Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. - Lu Bai 001; Lixin Cui; Yuhang Jiao 001; Luca Rossi 004; Edwin R. Hancock (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2023)