C
Cong Leng
Researcher at Chinese Academy of Sciences
Publications - 47
Citations - 2983
Cong Leng is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Convolutional neural network & Computer science. The author has an hindex of 17, co-authored 43 publications receiving 2286 citations. Previous affiliations of Cong Leng include Alibaba Group.
Papers
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Proceedings ArticleDOI
Quantized Convolutional Neural Networks for Mobile Devices
TL;DR: In this paper, both filter kernels in convolutional layers and weight matrices in fully-connected layers are quantized, aiming at minimizing the estimation error of each layer's response.
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Quantized Convolutional Neural Networks for Mobile Devices
TL;DR: This paper proposes an efficient framework, namely Quantized CNN, to simultaneously speed-up the computation and reduce the storage and memory overhead of CNN models.
Proceedings Article
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
TL;DR: This paper focuses on compressing and accelerating deep models with network weights represented by very small numbers of bits, referred to as extremely low bit neural network, and proposes to solve this problem using extragradient and iterative quantization algorithms that lead to considerably faster convergency compared to conventional optimization methods.
Proceedings ArticleDOI
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction
TL;DR: The proposed Cascade Hashing method is designed to be three-layer structure: hashing lookup, hashing remapping, and hashing ranking, which is demonstrated to be less sensitive to noise.
Proceedings ArticleDOI
Online sketching hashing
TL;DR: A novel approach to handle these two problems simultaneously based on the idea of data sketching, which can learn hash functions in an online fashion, while needs rather low computational complexity and storage space.