Yuhang Jiao

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Information Propagation

Graph Classification

Financial Time Series

Top Venues

Publications

Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE (2022)
Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang
Prototype Feature Extraction for Multi-task Learning. WWW (2022)
Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. KDD (2021)
Zhao Li, Xin Shen, Yuhang Jiao, Xuming Pan, Pengcheng Zou, Xianling Meng, Chengwei Yao, Jiajun Bu
Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. ICDE (2020)
Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI (2020)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. CoRR (2019)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) (2019)
Xiao Geng, Yanmei Zhang, Yuhang Jiao, Yinan Mei
A Novel Hybrid Clustering Algorithm for Topic Detection on Chinese Microblogging. IEEE Trans. Comput. Soc. Syst. 6 (2) (2019)
Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock
Learning Vertex Convolutional Networks for Graph Classification. CoRR (2019)
Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai
An Attributed Graph Embedding Method Using the Tree-Index Algorithm. GbRPR (2019)
Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock
A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR (2018)
Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR (2018)
Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. CoRR (2018)
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. S+SSPR (2018)
Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock
Adaptive Feature Selection Based on the Most Informative Graph-Based Features. GbRPR (2017)