Fujin Zhu

According to our database, Fujin Zhu authored at least 13 papers between 2015 and 2024.

Collaborative distances:

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

2024

Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks.

Haihong Zhao, Bo Yang, Jiaxu Cui, Qianli Xing, Jiaxing Shen, Fujin Zhu, Jiannong Cao

IEEE Trans. Mob. Comput., April, 2024

2023

Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation.

Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang

IEEE Trans. Knowl. Data Eng., March, 2023

2022

A Dual-system Method for Intelligent Fault Localization in Communication Networks.

Jinglong Ji, Fujin Zhu, Jiaxu Cui, Haihong Zhao, Bo Yang

Proceedings of the IEEE International Conference on Communications, 2022

2021

Exploring Technology Evolution Pathways to Facilitate Technology Management: From a Technology Life Cycle Perspective.

Ying Huang, Fujin Zhu, Alan L. Porter, Yi Zhang, Donghua Zhu, Ying Guo

IEEE Trans. Engineering Management, 2021

Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time.

Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang

CoRR, 2021

2020

A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.

Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang

ACM Trans. Intell. Syst. Technol., 2020

A Pareto-smoothing method for causal inference using generalized Pareto distribution.

Fujin Zhu, Jie Lu, Adi Lin, Guangquan Zhang

Neurocomputing, 2020

Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning.

Xiaoshui Huang, Fujin Zhu, Lois Holloway, Ali Haidar

CoRR, 2020

2019

On Causal Discovery and Inference from Observational Data

Fujin Zhu

PhD thesis, 2019

One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data.

Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Counterfactual Inference with Hidden Confounders Using Implicit Generative Models.

Fujin Zhu, Adi Lin, Guangquan Zhang, Jie Lu

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

First-order causal process for causal modelling with instantaneous and cross-temporal relations.

Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

A Supervised Requirement-oriented Patent Classification Scheme Based on the Combination of Metadata and Citation Information.

Fujin Zhu, Xuefeng Wang, Donghua Zhu, Yuqin Liu

Int. J. Comput. Intell. Syst., 2015