| 2022 | ICDE | Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). | Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock |
| 2022 | WWW | Prototype Feature Extraction for Multi-task Learning. | Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang |
| 2021 | KDD | Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. | Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu |
| 2020 | ICDE | Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. | Zhao Li, Xin Shen, Yuhang Jiao, Xuming Pan, Pengcheng Zou, Xianling Meng, Chengwei Yao, Jiajun Bu |
| 2020 | IJCAI | A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. | Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock |
| 2018 | ICPR | A Deep Hybrid Graph Kernel Through Deep Learning Networks. | Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock |
| 2018 | SSPR | A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. | Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock |
| 2018 | SSPR | Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. | Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang |