Hao Zhang
Orcid: 0000-0001-5544-5347Affiliations:
- Guangdong University of Petrochemical Technology, School of Computer, Maoming, China
- Fudan University, School of Computer Science, Shanghai, China (PhD 2019)
According to our database1,
Hao Zhang
authored at least 20 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
ACM Trans. Knowl. Discov. Data, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction<sup>*</sup>.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Appl. Intell., 2022
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Access, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Access, 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction.
Int. J. Comput. Intell. Syst., 2019
A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming.
CoRR, 2019
A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization.
CoRR, 2019
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD.
Proceedings of the Intelligent Computing Theories and Application, 2018
Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016