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Deep-learning-based on-chip rapid spectral imaging with high spatial resolution


Jan 16, 2023
Jiawei Yang, Kaiyu Cui, Yidong Huang, Wei Zhang, Xue Feng, Fang Liu

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Delving into Semantic Scale Imbalance


Jan 10, 2023
Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu

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* 47 pages, 26 figures, 12 tables 

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A Survey on Natural Language Processing for Programming


Dec 12, 2022
Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che

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dual unet:a novel siamese network for change detection with cascade differential fusion


Aug 12, 2022
Kaixuan Jiang, Ja Liu, Fang Liu, Wenhua Zhang, Yangguang Liu

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


Jun 02, 2022
Donghui Li, Jia Liu, Fang Liu, Wenhua Zhang, Andi Zhang, Wenfei Gao, Jiao Shi

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* 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


May 23, 2022
Yu Wang, Fang Liu

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* 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


May 06, 2022
Chenru Duan, Fang Liu, Aditya Nandy, Heather J. Kulik

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* 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


Apr 18, 2022
Yinan Li, Fang Liu

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* 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


Apr 12, 2022
Wei Peng, Li Feng, Guoying Zhao, Fang Liu

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* Accepted by CVPR2022 

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Compact Model Training by Low-Rank Projection with Energy Transfer


Apr 12, 2022
Kailing Guo, Zhenquan Lin, Xiaofen Xing, Fang Liu, Xiangmin Xu

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