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Driving Safety Prediction and Safe Route Mapping Using In-vehicle and Roadside Data


Sep 12, 2022
Yufei Huang, Mohsen Jafari, Peter Jin

* 12 pages, 19 figures, 9 tables 

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Toward Deep Learning Based Access Control


Mar 28, 2022
Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Mehrnoosh Shakarami, Ravi Sandhu

* 12 pages, 15 figures, to appear in CODASPY 2022 

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Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms


May 31, 2021
Li You, Yufei Huang, Di Zhang, Zheng Chang, Wenjin Wang, Xiqi Gao

* to appear in IEEE Transactions on Communications 

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TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference


May 25, 2021
Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun

* Accepted by NAACL2021 

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Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events


Nov 11, 2019
Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang


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Convolutional neural network models for cancer type prediction based on gene expression


Jun 18, 2019
Milad Mostavi, Yu-Chiao Chiu, Yufei Huang, Yidong Chen

* 34 pages, 5 figures, This paper was presented at ICIBM June, 2019 at Ohio Columbus, and will be published in BMC Genomics journal. Keywords: Deep Learning; Convolutional Neural Networks, The Cancer Genome Atlas; Cancer type prediction; Cancer gene markers; Breast cancer subtype prediction 

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GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization


May 21, 2018
Hung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang, Songyao Zhang, Yufei Huang, Yidong Chen

* Accepted for presentation in the International Conference on Intelligent Biology and Medicine (ICIBM 2018) at Los Angeles, CA, USA. Currently under consideration for publication in a Supplement Issue of BMC Systems Biology 

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Predicting drug response of tumors from integrated genomic profiles by deep neural networks


May 20, 2018
Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang, Songyao Zhang, Aparna Gorthi, Li-Ju Wang, Yufei Huang, Yidong Chen

* Accepted for presentation in the International Conference on Intelligent Biology and Medicine (ICIBM 2018) at Los Angeles, CA, USA. Currently under consideration for publication in a Supplement Issue of BMC Genomics 

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