Yuhang Jiao

According to our database, Yuhang Jiao authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation.

Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock

IEEE Trans. Knowl. Data Eng., 2023

2022

Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification.

Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Prototype Feature Extraction for Multi-task Learning.

Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis.

Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

A Novel Hybrid Clustering Algorithm for Topic Detection on Chinese Microblogging.

Xiao Geng, Yanmei Zhang, Yuhang Jiao, Yinan Mei

IEEE Trans. Comput. Soc. Syst., 2019

Learning Vertex Convolutional Networks for Graph Classification.

Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock

CoRR, 2019

Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification.

Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

An Attributed Graph Embedding Method Using the Tree-Index Algorithm.

Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai

Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018

A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information.

Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock

CoRR, 2018

Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel.

Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

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

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

A Deep Hybrid Graph Kernel Through Deep Learning Networks.

Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Adaptive Feature Selection Based on the Most Informative Graph-Based Features.

Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017