Lizhen Lin
Orcid: 0000-0002-7913-2780
According to our database1,
Lizhen Lin
authored at least 34 papers
between 2013 and 2024.
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Bibliography
2024
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models.
CoRR, 2024
IEEE Access, 2024
2023
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models.
J. Mach. Learn. Res., 2023
CoRR, 2023
A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks.
CoRR, 2023
2022
Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity.
IEEE Control. Syst. Lett., 2022
Commun. Inf. Syst., 2022
A Topological Characterization of DNA Sequences Based on Chaos Geometry and Persistent Homology.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
CoRR, 2020
A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data.
IEEE Access, 2020
Community Detection, Pattern Recognition, and Hypergraph-Based Learning: Approaches Using Metric Geometry and Persistent Homology.
Proceedings of the Fuzzy Systems and Data Mining VI, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
CoRR, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
J. Mach. Learn. Res., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Recent progress in the nonparametric estimation of monotone curves - With applications to bioassay and environmental risk assessment.
Comput. Stat. Data Anal., 2013