Yuhang Jiao

17 papers A* 5B 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation.
IEEE Trans. Knowl. Data Eng.
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022 J jnl
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock
2022 A* conf
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract).
ICDE
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022 A* conf
Prototype Feature Extraction for Multi-task Learning.
WWW
Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang
2021 A* conf
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.
KDD
Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
2020 A* conf
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis.
IJCAI
Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2020 A* conf
Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications.
ICDE
Zhao Li, Xin Shen, Yuhang Jiao, Xuming Pan, Pengcheng Zou, Xianling Meng, Chengwei Yao, Jiajun Bu
2019 J jnl
A Novel Hybrid Clustering Algorithm for Topic Detection on Chinese Microblogging.
IEEE Trans. Comput. Soc. Syst.
Xiao Geng, Yanmei Zhang, Yuhang Jiao, Yinan Mei
2019 — conf
An Attributed Graph Embedding Method Using the Tree-Index Algorithm.
GbRPR
Yuhang Jiao, Yueting Yang, Lixin Cui, Lu Bai
2019 — conf
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification.
ECML/PKDD (1)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
2019 J jnl
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification.
CoRR
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
2019 J jnl
Learning Vertex Convolutional Networks for Graph Classification.
CoRR
Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock
2018 B conf
A Deep Hybrid Graph Kernel Through Deep Learning Networks.
ICPR
Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2018 — conf
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels.
S+SSPR
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock
2018 J jnl
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information.
CoRR
Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
2018 — conf
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel.
S+SSPR
Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
2017 — conf
Adaptive Feature Selection Based on the Most Informative Graph-Based Features.
GbRPR
Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock