متابعة
Yanjun Qi
Yanjun Qi
Faculty @UVa CS / PhD @CMU / DATA Scholar@ NIH/ Principal Applied Scientist @ AWS
بريد إلكتروني تم التحقق منه على virginia.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Opportunities and obstacles for deep learning in biology and medicine‏
T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ...‏
Journal of the royal society interface 15 (141), 20170387, 2018‏
23022018
Feature squeezing: Detecting adversarial examples in deep neural networks‏
W Xu, D Evans, Y Qi‏
Network and Distributed Systems Security Symposium (NDSS) 2018, 2018‏
22312018
Random forest for bioinformatics‏
Y Qi‏
Ensemble machine learning: Methods and applications, 307-323, 2012‏
10392012
Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp‏
JX Morris, E Lifland, JY Yoo, J Grigsby, D Jin, Y Qi‏
EMNLP 2021 / arXiv preprint arXiv:2005.05909, 2020‏
8412020
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers‏
J Gao, J Lanchantin, ML Soffa, Y Qi‏
1st DEEP LEARNING AND SECURITY WORKSHOP (DLS18), arXiv preprint arXiv:1801.04354, 2018‏
8292018
Automatically evading classifiers‏
W Xu, Y Qi, D Evans‏
Proceedings of the 2016 network and distributed systems symposium 10, 2016‏
5332016
Evaluation of different biological data and computational classification methods for use in protein interaction prediction‏
Y Qi, Z Bar‐Joseph, J Klein‐Seetharaman‏
Proteins: Structure, Function, and Bioinformatics 63 (3), 490-500, 2006‏
5072006
Systems and methods for semi-supervised relationship extraction‏
Y Qi, B Bai, X Ning, P Kuksa‏
US Patent 8,874,432, 2014‏
3722014
General multi-label image classification with transformers‏
J Lanchantin, T Wang, V Ordonez, Y Qi‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021‏
3712021
Curriculum labeling: Revisiting pseudo-labeling for semi-supervised learning‏
P Cascante-Bonilla, F Tan, Y Qi, V Ordonez‏
AAAI 2021 / arXiv preprint arXiv:2001.06001, 2020‏
3672020
DeepChrome: deep-learning for predicting gene expression from histone modifications‏
R Singh, J Lanchantin, G Robins, Y Qi‏
Bioinformatics 32 (17), i639-i648, 2016‏
3132016
A critical assessment of Mus musculusgene function prediction using integrated genomic evidence‏
L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ...‏
Genome biology 9, 1-19, 2008‏
3042008
Random forest similarity for protein-protein interaction prediction from multiple sources‏
Y Qi, J Klein-Seetharaman, Z Bar-Joseph‏
Biocomputing 2005, 531-542, 2005‏
2652005
Cas9-chromatin binding information enables more accurate CRISPR off-target prediction‏
MA R Singh, C Kuscu, A Quinlan, Y Qi‏
Nucleic acids research, 2015‏
2512015
Sentiment classification based on supervised latent n-gram analysis‏
D Bespalov, B Bai, Y Qi, A Shokoufandeh‏
Proceedings of the 20th ACM international conference on Information and …, 2011‏
2032011
Recurrent chimeric fusion RNAs in non-cancer tissues and cells‏
M Babiceanu, F Qin, Z Xie, Y Jia, K Lopez, N Janus, L Facemire, S Kumar, ...‏
Nucleic acids research 44 (6), 2859-2872, 2016‏
2012016
Prediction of interactions between HIV-1 and human proteins by information integration‏
O Tastan, Y Qi, JG Carbonell, J Klein-Seetharaman‏
Biocomputing 2009, 516-527, 2009‏
1952009
Deep motif dashboard: visualizing and understanding genomic sequences using deep neural networks‏
J Lanchantin, R Singh, B Wang, Y Qi‏
Pacific symposium on biocomputing 2017, 254-265, 2017‏
1772017
Protein complex identification by supervised graph local clustering‏
Y Qi, F Balem, C Faloutsos, J Klein-Seetharaman, Z Bar-Joseph‏
Bioinformatics 24 (13), i250-i268, 2008‏
1662008
Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins‏
Y Qi, O Tastan, JG Carbonell, J Klein-Seetharaman, J Weston‏
Bioinformatics 26 (18), i645-i652, 2010‏
1542010
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مقالات 1–20