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ORCIDYuhang Jiao 0001
Person information
- affiliation: Central University of Finance and Economics, Beijing, China
Other persons with the same name
- Yuhang Jiao 0002 — Dalian Maritime University, Dalian, China
- Yuhang Jiao 0003 — University of Tokyo, Japan
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Journal Articles
- 2023
[j3]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): 1747-1760 (2023)- 2022
- [j2]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): 783-798 (2022) - 2019
- [j1]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): 289-300 (2019)
Conference and Workshop Papers
- 2022
- [c11]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: 3132-3133 - [c10]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: 2472-2481 - 2021
- [c9]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: 3002-3010 - 2020
- [c8]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: 1677-1688 - [c7]Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI 2020: 4453-4460 - 2019
- [c6]Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai:
An Attributed Graph Embedding Method Using the Tree-Index Algorithm. GbRPR 2019: 172-182 - [c5]Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) 2019: 464-482 - 2018
- [c4]Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR 2018: 1030-1035 - [c3]Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang:
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR 2018: 227-236 - [c2]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: 237-247 - 2017
- [c1]Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock:
Adaptive Feature Selection Based on the Most Informative Graph-Based Features. GbRPR 2017: 276-287
Informal and Other Publications
- 2019
- [i3]Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock:
Learning Vertex Convolutional Networks for Graph Classification. CoRR abs/1902.09936 (2019) - [i2]Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. CoRR abs/1904.04238 (2019) - 2018
- [i1]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 abs/1809.01090 (2018)
Coauthor Index
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