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Feng Bao (鲍峰)
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Deep direct reinforcement learning for financial signal representation and trading
Y Deng, F Bao, Y Kong, Z Ren, Q Dai
IEEE transactions on neural networks and learning systems 28 (3), 653-664, 2016
8432016
Giotto: a toolbox for integrative analysis and visualization of spatial expression data
R Dries, Q Zhu, R Dong, CHL Eng, H Li, K Liu, Y Fu, T Zhao, A Sarkar, ...
Genome biology 22, 1-31, 2021
4962021
A hierarchical fused fuzzy deep neural network for data classification
Y Deng, Z Ren, Y Kong, F Bao, Q Dai
IEEE Transactions on Fuzzy Systems 25 (4), 1006-1012, 2016
3662016
Cooperative deep reinforcement learning for large-scale traffic grid signal control
T Tan, F Bao, Y Deng, A Jin, Q Dai, J Wang
IEEE transactions on cybernetics 50 (6), 2687-2700, 2019
2122019
Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning
Y Deng, F Bao, Q Dai, LF Wu, SJ Altschuler
Nature methods 16 (4), 311-314, 2019
1432019
Unsupervised content-preserving transformation for optical microscopy
X Li, G Zhang, H Qiao, F Bao, Y Deng, J Wu, Y He, J Yun, X Lin, H Xie, ...
Light: Science & Applications 10 (1), 44, 2021
792021
Sparse coding-inspired optimal trading system for HFT industry
Y Deng, Y Kong, F Bao, Q Dai
IEEE Transactions on Industrial Informatics 11 (2), 467-475, 2015
622015
Integrative spatial analysis of cell morphologies and transcriptional states with MUSE
F Bao, Y Deng, S Wan, SQ Shen, B Wang, Q Dai, SJ Altschuler, LF Wu
Nature biotechnology 40 (8), 1200-1209, 2022
582022
Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging
Y Zhao, Y Deng, F Bao, H Peterson, R Istfan, D Roblyer
Optics letters 43 (22), 5669-5672, 2018
532018
Giotto, a pipeline for integrative analysis and visualization of single-cell spatial transcriptomic data
R Dries, Q Zhu, CHL Eng, A Sarkar, F Bao, RE George, N Pierson, L Cai, ...
BioRxiv, 701680, 2019
412019
Learning Deep Landmarks for Imbalanced Classification
F Bao, Y Deng, Y Kong, Z Ren, J Suo, Q Dai
IEEE Transactions on Neural Networks and Learning Systems, 2019
352019
Deep and structured robust information theoretic learning for image analysis
Y Deng, F Bao, X Deng, R Wang, Y Kong, Q Dai
IEEE Transactions on Image Processing 25 (9), 4209-4221, 2016
352016
Human-in-the-loop low-shot learning
S Wan, Y Hou, F Bao, Z Ren, Y Dong, Q Dai, Y Deng
IEEE transactions on neural networks and learning systems 32 (7), 3287-3292, 2020
192020
Massive single-cell RNA-seq analysis and imputation via deep learning
Y Deng, F Bao, Q Dai, LF Wu, SJ Altschuler
BioRxiv, 315556, 2018
192018
Bosco: Boosting corrections for genome-wide association studies with imbalanced samples
F Bao, Y Deng, Y Zhao, J Suo, Q Dai
IEEE Transactions on NanoBioscience 16 (1), 69-77, 2017
152017
ACID: association correction for imbalanced data in GWAS
F Bao, Y Deng, Q Dai
IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (1 …, 2016
122016
Disentangled variational information bottleneck for multiview representation learning
F Bao
Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021
92021
Probabilistic natural mapping of gene-level tests for genome-wide association studies
F Bao, Y Deng, M Du, Z Ren, Q Zhang, Y Zhao, J Suo, Z Zhang, M Wang, ...
Briefings in bioinformatics 19 (4), 545-553, 2018
92018
Information transduction capacity reduces the uncertainties in annotation-free isoform discovery and quantification
Y Deng, F Bao, Y Yang, X Ji, M Du, Z Zhang, M Wang, Q Dai
Nucleic acids research 45 (15), e143-e143, 2017
72017
Explaining the genetic causality for complex phenotype via deep association kernel learning
F Bao, Y Deng, M Du, Z Ren, S Wan, KY Liang, S Liu, B Wang, J Xin, ...
Patterns 1 (6), 2020
62020
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