Ruihao Gong

Ruihao Gong

Graduate Student

Beihang University

Ruihao Gong is currently a senior researcher at SenseTime. Before this, he studied at Beihang University under the supervision of Prof. Xianglong Liu. Since 2017, he worked on the build-up of computer vision systems and model quantization as an intern at Sensetime Research, where he enjoyed working with the talented researchers and grew up a lot with the help of Fengwei Yu, Wei Wu, Jing Shao, and Junjie Yan. During the early time of the internship, he independently took responsibility for the development of intelligent video analysis system Sensevideo. Later, he started the research on model quantization which can speed up the inference and even the training of neural networks on edge devices. Now he is devoted to further promoting the accuracy of extremely low-bit models and the auto-deployment of quantized models.

We are hiring! Positions are available for self-motivated interns and full-time researchers/engineers in AI and System. Please do not be hesitated to send your CV to gongruihao [at] sensetime.com!

Interests

  • Model Quantization
  • Computer Vision
  • CNN Compiler
  • System on Machine Learning

Education

  • MEng in Computer Sicence, 2018.9 - 2021.1

    Beihang University

  • BSc in Computer Science, 2014.9 - 2018.6

    Beihang University

Publications

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

Forward and Backward Information Retention for Accurate Binary Neural Networks

Towards Unified INT8 Training for Convolutional Neural Network

DMS: Differentiable Dimension Search for Binary Neural Networks

Binary neural networks: A survey

Diversifying Sample Generation for Accurate Data-Free Quantization

Rotation Consistent Margin Loss for Efficient Low-bit Face Recognition

Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures

Balanced Binary Neural Networks with Gated Residual