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 Hongxu Yin

When to Prune? A Policy towards Early Structural Pruning


Oct 22, 2021
Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez


  Access Paper or Ask Questions

HALP: Hardware-Aware Latency Pruning


Oct 20, 2021
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez


  Access Paper or Ask Questions

NViT: Vision Transformer Compression and Parameter Redistribution


Oct 10, 2021
Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz


  Access Paper or Ask Questions

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion


Jul 13, 2021
Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

* A new inversion method to reverse neural networks and get input from intermediate feature maps. Works without original data for classifiers and GANs 

  Access Paper or Ask Questions

HANT: Hardware-Aware Network Transformation


Jul 12, 2021
Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat


  Access Paper or Ask Questions

See through Gradients: Image Batch Recovery via GradInversion


Apr 15, 2021
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

* CVPR 2021 accepted paper 

  Access Paper or Ask Questions

MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks


Feb 20, 2021
Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha

* 11 pages, 6 figures 

  Access Paper or Ask Questions

Fully Dynamic Inference with Deep Neural Networks


Jul 29, 2020
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha


  Access Paper or Ask Questions

Efficient Synthesis of Compact Deep Neural Networks


Apr 18, 2020
Wenhan Xia, Hongxu Yin, Niraj K. Jha


  Access Paper or Ask Questions

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion


Dec 18, 2019
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz


  Access Paper or Ask Questions

DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks


Oct 11, 2019
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha


  Access Paper or Ask Questions

Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks


May 27, 2019
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


  Access Paper or Ask Questions

Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM


Jan 30, 2019
Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha


  Access Paper or Ask Questions

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation


Dec 21, 2018
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha


  Access Paper or Ask Questions

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm


Jun 01, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


  Access Paper or Ask Questions

Grow and Prune Compact, Fast, and Accurate LSTMs


May 31, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


  Access Paper or Ask Questions