Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Linfeng Zhang

Linfeng Zhang

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



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

Figure 1 for PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
Figure 2 for PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
Figure 3 for PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
Figure 4 for PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection

   Access Paper or Ask Questions

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



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

Figure 1 for Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
Figure 2 for Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
Figure 3 for Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
Figure 4 for Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
* Accepted by CVPR2022 
   Access Paper or Ask Questions

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



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

Figure 1 for Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Figure 2 for Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Figure 3 for Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Figure 4 for Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
* Tech report, 17 pages, 4 figures 
   Access Paper or Ask Questions

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



Hao Xie , Linfeng Zhang , Lei Wang

Figure 1 for $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study
Figure 2 for $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study
Figure 3 for $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study
Figure 4 for $m^\ast$ of two-dimensional electron gas: a neural canonical transformation study
* 7+3 pages, 4+1 figures, code: https://github.com/fermiflow/CoulombGas 
   Access Paper or Ask Questions

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



Hao Xie , Linfeng Zhang , Lei Wang

Figure 1 for Ab-initio study of interacting fermions at finite temperature with neural canonical transformation
Figure 2 for Ab-initio study of interacting fermions at finite temperature with neural canonical transformation
Figure 3 for Ab-initio study of interacting fermions at finite temperature with neural canonical transformation
Figure 4 for Ab-initio study of interacting fermions at finite temperature with neural canonical transformation
* 11 pages, 6 figures, code: https://github.com/buwantaiji/FermiFlow 
   Access Paper or Ask Questions

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



Yixiao Chen , Linfeng Zhang , Han Wang , Weinan E

Figure 1 for DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory
Figure 2 for DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory
Figure 3 for DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory
Figure 4 for DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory

   Access Paper or Ask Questions

Integrating Machine Learning with Physics-Based Modeling



Weinan E , Jiequn Han , Linfeng Zhang

Figure 1 for Integrating Machine Learning with Physics-Based Modeling
Figure 2 for Integrating Machine Learning with Physics-Based Modeling
Figure 3 for Integrating Machine Learning with Physics-Based Modeling
Figure 4 for Integrating Machine Learning with Physics-Based Modeling

   Access Paper or Ask Questions

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



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

Figure 1 for Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks
Figure 2 for Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks
Figure 3 for Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks
Figure 4 for Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks
* 20 pages, 6 figures, submitted to the World Wide Web Journal 
   Access Paper or Ask Questions

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

Figure 1 for Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks
Figure 2 for Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks
Figure 3 for Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks
Figure 4 for Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks

   Access Paper or Ask Questions
1
2
>>