Can Yang

Orcid: 0000-0002-4407-3055

Affiliations:
  • Hong Kong University of Science and Technology, Department of Mathematics
  • Hong Kong Baptist University, Department of Mathematics
  • Yale University, Division of Biostatistics, New Haven, CT, USA (former)


According to our database1, Can Yang authored at least 62 papers between 2005 and 2023.

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Bibliography

2023
Reconstructing Close Human Interactions from Multiple Views.
ACM Trans. Graph., December, 2023

Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks.
Nat. Mac. Intell., October, 2023

stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics.
Bioinform., October, 2023

PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations.
Bioinform., February, 2023

Provable Tensor Completion with Graph Information.
CoRR, 2023

Integrating Tick-level Data and Periodical Signal for High-frequency Market Making.
CoRR, 2023

Optimal Execution Using Reinforcement Learning.
CoRR, 2023

MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information.
CoRR, 2023

2022
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets.
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Nat. Comput. Sci., 2022

XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis.
Bioinform., 2022

FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets.
Briefings Bioinform., 2022

2021
Direct-to-consumer genetic testing in China and its role in GWAS discovery and replication.
Quant. Biol., 2021

Special issue on genome wide association study.
Quant. Biol., 2021

2020
Bayesian weighted Mendelian randomization for causal inference based on summary statistics.
Bioinform., 2020

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies.
Bioinform., 2020

LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations.
Bioinform., 2020

Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Wasserstein-Wasserstein Auto-Encoders.
CoRR, 2019

CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information.
Bioinform., 2019

VIMCO: variational inference for multiple correlated outcomes in genome-wide association studies.
Bioinform., 2019

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Bioinform., 2019

Visualizing Emotional States: A Method Based on Human Brain Activity.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Deep Generative Learning via Variational Gradient Flow.
Proceedings of the 36th International Conference on Machine Learning, 2019

Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

2018
LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.
Bioinform., 2018

Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

2017
Leveraging functional annotations in genetic risk prediction for human complex diseases.
PLoS Comput. Biol., 2017

LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.
Bioinform., 2017

IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
Bioinform., 2017

2016
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016

Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-Wide Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Efficient Drug-Pathway Association Analysis via Integrative Penalized Matrix Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Mathematical Design of a Novel Gesture-Based Instruction/Input Device Using Wave Detection.
SIAM J. Imaging Sci., 2016

Computing exact permutation p-values for association rules.
Inf. Sci., 2016

EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes.
Bioinform., 2016

2015
Folded-concave penalization approaches to tensor completion.
Neurocomputing, 2015

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015

2014
Low-Rank Modeling and Its Applications in Image Analysis.
ACM Comput. Surv., 2014

2013
Multisample aCGH Data Analysis via Total Variation and Spectral Regularization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics.
Comput. Biol. Chem., 2013

Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping.
Bioinform., 2013

2012
Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Comments on 'An empirical comparison of several recent epistatic interaction detection methods'.
Bioinform., 2012

Automatic mitral leaflet tracking in echocardiography by outlier detection in the low-rank representation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

A hidden two-locus disease association pattern in genome-wide association studies.
BMC Bioinform., 2011

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies.
BMC Bioinform., 2011

Motif-All: discovering all phosphorylation motifs.
BMC Bioinform., 2011

GBOOST: a GPU-based tool for detecting gene-gene interactions in genome-wide case control studies.
Bioinform., 2011

Identifying disease-associated SNP clusters via contiguous outlier detection.
Bioinform., 2011

2010
Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification.
J. Comput. Biol., 2010

BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies
CoRR, 2010

Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso.
BMC Bioinform., 2010

Detecting two-locus associations allowing for interactions in genome-wide association studies.
Bioinform., 2010

Predictive rule inference for epistatic interaction detection in genome-wide association studies.
Bioinform., 2010

2009
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.
BMC Bioinform., 2009

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.
Bioinform., 2009

2008
Peak bagging for peptide mass fingerprinting.
Bioinform., 2008

2006
Cluster-Based Input Selection for Transparent Fuzzy Modeling.
Int. J. Data Warehous. Min., 2006

2005
Optimal Fuzzy Modeling Based on Minimum Cluster Volume.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005


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