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ORCIDXiangnan Feng
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Journal Articles
- 2024
[j11]Liyi Huang, Bowen Pang
, Qiming Yang, Xiangnan Feng, Wei Wei:
Link prediction by continuous spatiotemporal representation via neural differential equations. Knowl. Based Syst. 292: 111619 (2024)- 2023
- [j10]Wei Wei, Xiangnan Feng:
Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space. Appl. Math. Comput. 458: 128264 (2023) - [j9]Bowen Pang, Wei Wei, Xing Li, Xiangnan Feng, Chao Li:
A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding. Eng. Appl. Artif. Intell. 126: 106849 (2023) - [j8]Xing Li, Wei Wei, Ruizhi Zhang, Zhenyu Shi, Zhiming Zheng, Xiangnan Feng:
Representation Learning of Enhanced Graphs Using Random Walk Graph Convolutional Network. ACM Trans. Intell. Syst. Technol. 14(3): 46:1-46:21 (2023) - 2021
- [j7]Chao Li, Wei Wei, Xiangnan Feng, Jiaomin Liu:
Research of Motif-Based Similarity for Link Prediction Problem. IEEE Access 9: 66636-66645 (2021) - [j6]Xing Li, Wei Wei, Xiangnan Feng, Xue Liu, Zhiming Zheng:
Representation learning of graphs using graph convolutional multilayer networks based on motifs. Neurocomputing 464: 218-226 (2021) - [j5]Xue Liu, Wei Wei, Xiangnan Feng, Xiaobo Cao, Dan Sun:
Graph classification based on skeleton and component features. Knowl. Based Syst. 228: 107301 (2021) - 2020
- [j4]Xiaoqing Wang, Xiangnan Feng, Xinyuan Song:
Joint analysis of semicontinuous data with latent variables. Comput. Stat. Data Anal. 151: 107005 (2020) - 2019
- [j3]Weiwei Cao, Xiangnan Feng, Hong Zhang:
The structural and spatial properties of the high-speed railway network in China: A complex network perspective. J. Rail Transp. Plan. Manag. 9: 46-56 (2019) - 2017
- [j2]Xiang-Nan Feng, Yifan Wang, Bin Lu, Xin-Yuan Song:
Bayesian regularized quantile structural equation models. J. Multivar. Anal. 154: 234-248 (2017) - 2015
- [j1]Guochang Wang, Yan Zhou, Xiang-Nan Feng, Baoxue Zhang:
The hybrid method of FSIR and FSAVE for functional effective dimension reduction. Comput. Stat. Data Anal. 91: 64-77 (2015)
Informal and Other Publications
- 2022
- [i11]Xiangnan Feng, Alex Rutherford:
The Dynamic Resilience of Urban Labour Networks. CoRR abs/2202.12856 (2022) - [i10]Qiming Yang, Wei Wei, Ruizhi Zhang, Bowen Pang, Xiangnan Feng:
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process. CoRR abs/2204.13301 (2022) - [i9]Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng:
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. CoRR abs/2212.08890 (2022) - 2021
- [i8]Xing Li, Wei Wei, Xiangnan Feng, Zhiming Zheng:
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network. CoRR abs/2101.00417 (2021) - [i7]Xue Liu, Wei Wei, Xiangnan Feng, Xiaobo Cao, Dan Sun:
Graph Classification Based on Skeleton and Component Features. CoRR abs/2102.01428 (2021) - [i6]Zhenyu Shi, Wei Wei, Xiangnan Feng, Ruizhi Zhang, Zhiming Zheng:
Effects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma. CoRR abs/2103.11300 (2021) - 2020
- [i5]Xing Li, Wei Wei, Xiangnan Feng, Xue Liu, Zhiming Zheng:
Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs. CoRR abs/2007.15838 (2020) - [i4]Zhenyu Shi, Wei Wei, Xiangnan Feng, Xing Li, Zhiming Zheng:
Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam. CoRR abs/2009.12819 (2020) - 2019
- [i3]Xiangnan Feng, Wei Wei, Jiannan Wang, Xue Liu, Zhiming Zheng:
Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover. CoRR abs/1912.08559 (2019) - 2018
- [i2]Xiangnan Feng, Wei Wei, Xing Li, Zhiming Zheng:
Core Influence Mechanism on Vertex-Cover Problem through Leaf-Removal-Core Breaking. CoRR abs/1810.05799 (2018) - 2017
- [i1]Xiangnan Feng, Wei Wei, Jiannan Wang, Zhiming Zheng:
Research on Centralities Based on von Neumann Entropy for Nodes and Motifs. CoRR abs/1707.00386 (2017)
Coauthor Index
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