Yuhong Li

is this you? claim profile

0 followers
Huazhong University of Science u0026 Technology

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices

High quality AI solutions require joint optimization of AI algorithms, s...
10/14/2020 ∙ by Cong Hao, et al. ∙ 0 ∙ share

read it
Symplectic method for Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus

A class of Hamiltonian stochastic differential equations with multiplica...
10/14/2020 ∙ by Qingyi Zhan, et al. ∙ 0 ∙ share

read it
GAP++: Learning to generate target-conditioned adversarial examples

Adversarial examples are perturbed inputs which can cause a serious thre...
06/09/2020 ∙ by Xiaofeng Mao, et al. ∙ 5 ∙ share

read it
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions

High quality AI solutions require joint optimization of AI algorithms an...
05/06/2020 ∙ by Yuhong Li, et al. ∙ 0 ∙ share

read it
Learning To Characterize Adversarial Subspaces

Deep Neural Networks (DNNs) are known to be vulnerable to the maliciousl...
11/15/2019 ∙ by Xiaofeng Mao, et al. ∙ 0 ∙ share

read it
Self-supervised Adversarial Training

Recent work has demonstrated that neural networks are vulnerable to adve...
11/15/2019 ∙ by Kejiang Chen, et al. ∙ 0 ∙ share

read it
Self-Supervised Learning For Few-Shot Image Classification

Few-shot image classification aims to classify unseen classes with limit...
11/14/2019 ∙ by Da Chen, et al. ∙ 1 ∙ share

read it
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Developing object detection and tracking on resource-constrained embedde...
09/20/2019 ∙ by Xiaofan Zhang, et al. ∙ 41 ∙ share

read it
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

Developing artificial intelligence (AI) at the edge is always challengin...
06/25/2019 ∙ by Xiaofan Zhang, et al. ∙ 1 ∙ share

read it
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices

Developing deep learning models for resource-constrained Internet-of-Thi...
05/20/2019 ∙ by Xiaofan Zhang, et al. ∙ 0 ∙ share

read it
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

While embedded FPGAs are attractive platforms for DNN acceleration on ed...
04/09/2019 ∙ by Cong Hao, et al. ∙ 0 ∙ share

read it
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks

The task of Language-Based Image Editing (LBIE) aims at generating a tar...
03/18/2019 ∙ by Xiaofeng Mao, et al. ∙ 0 ∙ share

read it
SiamVGG: Visual Tracking using Deeper Siamese Networks

Recently, we have seen a rapid development of Deep Neural Network (DNN) ...
02/07/2019 ∙ by Yuhong Li, et al. ∙ 0 ∙ share

read it
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

We propose a network for Congested Scene Recognition called CSRNet to pr...
02/27/2018 ∙ by Yuhong Li, et al. ∙ 0 ∙ share

read it

Yuhong Li

Featured Co-authors

Jinjun Xiong

Nenghai Yu

Thomas Huang

Wen-mei Hwu

Honghui Shi

Weiming Zhang

Da Chen

Deming Chen

Yuan He

Hui Xue

Xiaofan Zhang

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices

Symplectic method for Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus

GAP++: Learning to generate target-conditioned adversarial examples

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions

Learning To Characterize Adversarial Subspaces

Self-supervised Adversarial Training

Self-Supervised Learning For Few-Shot Image Classification

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices

FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks

SiamVGG: Visual Tracking using Deeper Siamese Networks

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes