Hao Zhang

Orcid: 0000-0001-5544-5347

Affiliations:
  • 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 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Adaptive Kernels for Statistical Independence Tests.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Conditional Independence Test Based on Residual Similarity.
ACM Trans. Knowl. Discov. Data, 2023

Causal Gene Identification Using Non-Linear Regression-Based Independence Tests.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.
Proceedings of the IEEE International Conference on Data Mining, 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

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Differentially Private Nonlinear Causal Discovery from Numerical Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning Causal Structures Based on Divide and Conquer.
IEEE Trans. Cybern., 2022

An automatic hyperparameter optimization DNN model for precipitation prediction.
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
Combined cause inference: Definition, model and performance.
Inf. Sci., 2021

Person Re-Identification With Character-Illustration-Style Image and Normal Photo.
IEEE Access, 2021

Testing Independence Between Linear Combinations for Causal Discovery.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction.
IEEE Access, 2020

2019
Measuring Conditional Independence by Independent Residuals for Causal Discovery.
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
Causal Discovery Using Regression-Based Conditional Independence Tests.
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


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