Yuying Xie

Orcid: 0000-0002-4804-2176

According to our database1, Yuying Xie authored at least 23 papers between 2010 and 2024.

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

Timeline

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Links

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Bibliography

2024
Deep Learning in Single-cell Analysis.
ACM Trans. Intell. Syst. Technol., June, 2024

Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds.
Int. J. Comput. Integr. Manuf., April, 2024

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology.
J. Comput. Biol., 2024

Convolutional dynamical sampling and some new results.
CoRR, 2024

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models.
CoRR, 2024

Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement.
Proceedings of the International Joint Conference on Neural Networks, 2024

CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation.
CoRR, 2023

Improved Disentangled Speech Representations Using Contrastive Learning in Factorized Hierarchical Variational Autoencoder.
Proceedings of the 31st European Signal Processing Conference, 2023

Single-Cell Multimodal Prediction via Transformers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Superiority of GNN over NN in generalizing bandlimited functions.
CoRR, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.
CoRR, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
A Novel Efficient DLUBE Model Constructed by Error Interval Coefficients for Clustered Wind Power Prediction.
IEEE Access, 2021

Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020
Themes Inferred Audio-visual Correspondence Learning.
CoRR, 2020

2019
Fast and robust deconvolution of tumor infiltrating lymphocyte from expression profiles using least trimmed squares.
PLoS Comput. Biol., 2019

Manifold denoising by Nonlinear Robust Principal Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Segmentation-Guided Tracking with Prior Map Decision.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Learning Collaborative Model for Visual Tracking.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016
Strategic transformation through innovation in emerging industry: a case study.
Int. J. Technol. Manag., 2016

2010
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study.
J. Comput. Biol., 2010


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