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PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection



Linfeng Zhang , Runpei Dong , Hung-Shuo Tai , Kaisheng Ma


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Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation



Linfeng Zhang , Xin Chen , Xiaobing Tu , Pengfei Wan , Ning Xu , Kaisheng Ma

* Accepted by CVPR2022 

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Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks



Runpei Dong , Zhanhong Tan , Mengdi Wu , Linfeng Zhang , Kaisheng Ma

* Tech report, 17 pages, 4 figures 

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$m^\ast$ of two-dimensional electron gas: a neural canonical transformation study



Hao Xie , Linfeng Zhang , Lei Wang

* 7+3 pages, 4+1 figures, code: https://github.com/fermiflow/CoulombGas 

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Ab-initio study of interacting fermions at finite temperature with neural canonical transformation



Hao Xie , Linfeng Zhang , Lei Wang

* 11 pages, 6 figures, code: https://github.com/buwantaiji/FermiFlow 

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DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory



Yixiao Chen , Linfeng Zhang , Han Wang , Weinan E


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Integrating Machine Learning with Physics-Based Modeling



Weinan E , Jiequn Han , Linfeng Zhang


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Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks



Yuni Lai , Linfeng Zhang , Donghong Han , Rui Zhou , Guoren Wang

* 20 pages, 6 figures, submitted to the World Wide Web Journal 

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Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks



Leonardo Zepeda-Núñez , Yixiao Chen , Jiefu Zhang , Weile Jia , Linfeng Zhang , Lin Lin


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