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A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images



Donghui Li , Jia Liu , Fang Liu , Wenhua Zhang , Andi Zhang , Wenfei Gao , Jiao Shi

* 4 pages,4 figures, 2022 IEEE International Geoscience and Remote Sensing Symposium 

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Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies



Yu Wang , Fang Liu

* This paper was accepted by IEEE COMPSAC 2022 

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Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery



Chenru Duan , Fang Liu , Aditya Nandy , Heather J. Kulik

* Journal of Physical Chemistry Letters, 2021, 12, 19, 4628-4637 

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Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models



Yinan Li , Fang Liu

* Accepted by IEEE-COMPSAC 2022 Computers, Software & Applications in an Uncertain World 

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Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks



Wei Peng , Li Feng , Guoying Zhao , Fang Liu

* Accepted by CVPR2022 

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Compact Model Training by Low-Rank Projection with Energy Transfer



Kailing Guo , Zhenquan Lin , Xiaofen Xing , Fang Liu , Xiangmin Xu


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Transformers Meet Visual Learning Understanding: A Comprehensive Review



Yuting Yang , Licheng Jiao , Xu Liu , Fang Liu , Shuyuan Yang , Zhixi Feng , Xu Tang

* arXiv admin note: text overlap with arXiv:2010.11929, arXiv:1706.03762 by other authors 

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AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation



Emma R. Cobian , Jonathan D. Hauenstein , Fang Liu , Daniele E. Schiavazzi


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Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization



Mufan Sang , Haoqi Li , Fang Liu , Andrew O. Arnold , Li Wan

* Submitted to ICASSP 2022 

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Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data



Tian Yan , Fang Liu


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