Yi Li
Cited by
Cited by
Gene expression inference with deep learning
Y Chen, Y Li, R Narayan, A Subramanian, X Xie
Bioinformatics 32 (12), 1832-1839, 2016
Covid-19 screening on chest x-ray images using deep learning based anomaly detection
J Zhang, Y Xie, Y Li, C Shen, Y Xia
arXiv preprint arXiv:2003.12338 27, 2020
Exploring neural transducers for end-to-end speech recognition
E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ...
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
A mixture model for expression deconvolution from RNA-seq in heterogeneous tissues
Y Li, X Xie
BMC bioinformatics 14 (5), 1-11, 2013
Genome-wide view of TGFβ/Foxh1 regulation of the early mesendoderm program
WT Chiu, RC Le, IL Blitz, MB Fish, Y Li, J Biesinger, X Xie, KWY Cho
Development 141 (23), 4537-4547, 2014
Identifying viruses from metagenomic data using deep learning
J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, R Poplin, ...
Quantitative Biology, 1-14, 2020
Cancer metastasis detection with neural conditional random field
Y Li, W Ping
arXiv preprint arXiv:1806.07064, 2018
Deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity
Y Li, X Xie
Bioinformatics 30 (15), 2121-2129, 2014
Viral Pneumonia Screening on Chest X-rays Using Confidence-Aware Anomaly Detection
J Zhang, Y Xie, G Pang, Z Liao, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ...
IEEE transactions on medical imaging, 2020
Poly (A) code analyses reveal key determinants for tissue-specific mRNA alternative polyadenylation
L Weng, Y Li, X Xie, Y Shi
RNA 22 (6), 813-821, 2016
Large margin neural language model
J Huang, Y Li, W Ping, L Huang
arXiv preprint arXiv:1808.08987, 2018
Mixclone: a mixture model for inferring tumor subclonal populations
Y Li, X Xie
BMC genomics 16 (2), 1-9, 2015
Understanding sequence conservation with deep learning
Y Li, D Quang, X Xie
Proceedings of the 8th ACM international conference on bioinformatics …, 2017
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling
W Ye, J Yao, H Xue, Y Li
arXiv preprint arXiv:2005.14480, 2020
Detecting lesion bounding ellipses with Gaussian proposal networks
Y Li
International Workshop on Machine Learning in Medical Imaging, 337-344, 2019
Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest x-ray? A multiplatform evaluation of five AI products used for TB screening in a high …
ZZ Qin, S Ahmed, MS Sarker, K Paul, ASS Adel, T Naheyan, S Banu, ...
arXiv preprint arXiv:2006.05509, 2020
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