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Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles


Jun 24, 2021
Chenru Duan, Shuxin Chen, Michael G. Taylor, Fang Liu, Heather J. Kulik


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One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment


May 04, 2021
Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu


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All-Optical Image Identification with Programmable Matrix Transformation


Apr 01, 2021
Shikang Li, Baohua Ni, Xue Feng, Kaiyu Cui, Fang Liu, Wei Zhang, Yidong Huang


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MWQ: Multiscale Wavelet Quantized Neural Networks


Mar 09, 2021
Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu


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Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization


Mar 04, 2021
Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu


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Multi-Armed Bandits with Dependent Arms


Oct 23, 2020
Rahul Singh, Fang Liu, Yin Sun, Ness Shroff


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Selective Cascade of Residual ExtraTrees


Sep 29, 2020
Qimin Liu, Fang Liu

* To appear in SN Computer Science 

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A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19


Jul 25, 2020
Rahul Singh, Fang Liu, Ness B. Shroff


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A modified axiomatic foundation of the analytic hierarchy process


Jul 06, 2020
Fang Liu, Wei-Guo Zhang

* 28 pages; 3 figures; submitted to a journal 

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MultiResolution Attention Extractor for Small Object Detection


Jun 10, 2020
Fan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu

* 11 pages, 5 figures 

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Contextual Bandits with Side-Observations


Jun 06, 2020
Rahul Singh, Fang Liu, Xin Liu, Ness Shroff

* under review 

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Bayesian convolutional neural network based MRI brain extraction on nonhuman primates


May 18, 2020
Gengyan Zhao, Fang Liu, Jonathan A. Oler, Mary E. Meyerand, Ned H. Kalin, Rasmus M. Birn

* Neuroimage 175 (2018): 32-44 
* 37 pages, 14 figures 

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Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity


May 18, 2020
Gengyan Zhao, Gyujoon Hwang, Cole J. Cook, Fang Liu, Mary E. Meyerand, Rasmus M. Birn

* 40 pages, 10 figures 

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PolSF: PolSAR image dataset on San Francisco


Dec 16, 2019
Xu Liu, Licheng Jiao, Fang Liu


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A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning


Oct 12, 2019
Fang Liu, Ge Li, Bolin Wei, Xin Xia, Ming Li, Zhiyi Fu, Zhi Jin

* There are some errors on Table 3, we need some time to get the correct values 

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A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations


Aug 04, 2019
Denis Sidorov, Ildar Muftahov, Nikita Tomin, Dmitriy Karamov, Daniil Panasetsky, Aliona Dreglea, Fang Liu, Aoife Foley

* IEEE TII 2019 
* 9 pages, 12 figures; accepted to IEEE Transactions on Industrial Informatics 

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A Survey of Deep Learning-based Object Detection


Jul 11, 2019
Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu

* 29 pages,12 figures 

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PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine


Jun 17, 2019
Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu

* IGARSS2019 
* arXiv admin note: text overlap with arXiv:1807.02975 

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Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification


Jun 09, 2019
Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao


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Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification


Jun 09, 2019
Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao


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SpecNet: Spectral Domain Convolutional Neural Network


May 28, 2019
Bochen Guan, Jinnian Zhang, William A. Sethares, Richard Kijowski, Fang Liu


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Data Poisoning Attacks on Stochastic Bandits


May 16, 2019
Fang Liu, Ness Shroff

* Accepted by ICML 2019 

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An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation


Mar 18, 2019
Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui

* Submitted to IJCNN 2019 

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CIPHER: Construction of dIfferentially Private microdata from low-dimensional Histograms via solving linear Equations with Tikhonov Regularization


Dec 12, 2018
Evercita C. Eugenio, Fang Liu


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SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction


Dec 08, 2018
Fang Liu, Lihua Chen, Richard Kijowski, Li Feng


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SUSAN: Segment Unannotated image Structure using Adversarial Network


Dec 03, 2018
Fang Liu


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Panda: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models


Oct 11, 2018
Yinan Li, Xiao Liu, Fang Liu


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MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping


Sep 02, 2018
Fang Liu, Li Feng, Richard Kijowski


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