Yixuan Qiu

Orcid: 0000-0003-0109-6692

According to our database1, Yixuan Qiu authored at least 18 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings.
BMC Bioinform., December, 2024

Images, Words, and Imagination: Accessible Descriptions to Support Blind and Low Vision Art Exploration and Engagement.
J. Imaging, January, 2024

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization.
CoRR, 2024

2023
Pre-training in Medical Data: A Survey.
Mach. Intell. Res., April, 2023

Efficient Multimodal Sampling via Tempered Distribution Flow.
CoRR, 2023

ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Learning Multitask Gaussian Bayesian Networks.
CoRR, 2022

Learning Manifold Dimensions with Conditional Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.
Bioinform., 2021

STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020
Randomized spectral co-clustering for large-scale directed networks.
CoRR, 2020

Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models.
Proceedings of the 8th International Conference on Learning Representations, 2020

Stochastic Approximate Gradient Descent via the Langevin Algorithm.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning.
CoRR, 2019

2017
FlashPCA2: principal component analysis of Biobank-scale genotype datasets.
Bioinform., 2017

A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015
showtext: Using System Fonts in R Graphics.
R J., 2015


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