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2020 – today
- 2024
[j7]Haihong Zhao
, Bo Yang, Jiaxu Cui, Qianli Xing, Jiaxing Shen, Fujin Zhu, Jiannong Cao:
Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks. IEEE Trans. Mob. Comput. 23(4): 3243-3258 (2024)- [j6]Binbin Huang, Lingbin Wang, Xiao Liu, Zixin Huang, Yuyu Yin, Fujin Zhu, Shangguang Wang, Shuiguang Deng:
Reinforcement Learning-Based Online Scheduling of Multiple Workflows in Edge Environment. IEEE Trans. Netw. Serv. Manag. 21(5): 5691-5706 (2024) - 2023
- [j5]Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang:
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(3): 2457-2470 (2023) - 2022
- [c4]Jinglong Ji, Fujin Zhu, Jiaxu Cui, Haihong Zhao, Bo Yang:
A Dual-system Method for Intelligent Fault Localization in Communication Networks. ICC 2022: 4062-4067 - 2021
- [j4]Ying Huang, Fujin Zhu, Alan L. Porter, Yi Zhang, Donghua Zhu, Ying Guo:
Exploring Technology Evolution Pathways to Facilitate Technology Management: From a Technology Life Cycle Perspective. IEEE Trans. Engineering Management 68(5): 1347-1359 (2021) - [i2]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. CoRR abs/2109.11929 (2021) - 2020
- [j3]Fujin Zhu, Jie Lu, Adi Lin, Guangquan Zhang:
A Pareto-smoothing method for causal inference using generalized Pareto distribution. Neurocomputing 378: 142-152 (2020) - [j2]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Trans. Intell. Syst. Technol. 11(3): 33:1-33:29 (2020) - [i1]Xiaoshui Huang, Fujin Zhu, Lois Holloway, Ali Haidar:
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning. CoRR abs/2006.05554 (2020)
2010 – 2019
- 2019
- [b1]Fujin Zhu:
On Causal Discovery and Inference from Observational Data. University of Technology Sydney, Australia, 2019 - [c3]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. ICDM 2019: 419-428 - 2018
- [c2]Fujin Zhu, Adi Lin, Guangquan Zhang, Jie Lu:
Counterfactual Inference with Hidden Confounders Using Implicit Generative Models. Australasian Conference on Artificial Intelligence 2018: 519-530 - 2017
- [c1]Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu:
First-order causal process for causal modelling with instantaneous and cross-temporal relations. IJCNN 2017: 380-387 - 2015
- [j1]Fujin Zhu, Xuefeng Wang, Donghua Zhu, Yuqin Liu:
A Supervised Requirement-oriented Patent Classification Scheme Based on the Combination of Metadata and Citation Information. Int. J. Comput. Intell. Syst. 8(3): 502-516 (2015)
Coauthor Index
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