Yiliang Zhang

Orcid: 0000-0002-9851-7870

According to our database1, Yiliang Zhang authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Label-noise learning via uncertainty-aware neighborhood sample selection.
Pattern Recognit. Lett., 2024

Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.
NeuroImage, 2024

Federated Learning with Extremely Noisy Clients via Negative Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MISNN: Multiple Imputation via Semi-parametric Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Label-Noise Learning with Intrinsically Long-Tailed Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection.
CoRR, 2022

An Unconstrained Layer-Peeled Perspective on Neural Collapse.
Proceedings of the Tenth International Conference on Learning Representations, 2022

A general kernel boosting framework integrating pathways for predictive modeling based on genomic data.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Fairness in Missing Data Imputation.
CoRR, 2021

Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics.
Briefings Bioinform., 2021

Assessing Fairness in the Presence of Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Inference of Dynamic Graph Changes for Functional Connectome.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020


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