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2020 – today
- 2023
[j3]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)- 2021
- [b1]Adi Lin:
Causal Inference Using Bayesian Deep Learning. University of Technology Sydney, Australia, 2021 - [i1]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
- [j2]Fujin Zhu, Jie Lu, Adi Lin, Guangquan Zhang:
A Pareto-smoothing method for causal inference using generalized Pareto distribution. Neurocomputing 378: 142-152 (2020) - [j1]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)
2010 – 2019
- 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 - 2016
- [c1]Hongteng Wu, Adi Lin, Defu Zhang, Carine Pierrette Mukamakuza:
A new time-dependent algorithm for post enrolment-based course timetabling problem. ICACI 2016: 425-431
Coauthor Index
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