Yuhong Li | DeepAI

DeepAI

Featured Co-authors

Yi Zhang
210 publications
Dong Li
103 publications
Nenghai Yu
95 publications
Jinjun Xiong
91 publications
Pan Li
71 publications
Weiming Zhang
61 publications
Hang Zhou
59 publications
Wen-mei Hwu
53 publications
Qiang Wu
44 publications
Wenhu Chen
43 publications
Thomas Huang
41 publications

∙ 11/20/2022

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Conditioned diffusion models have demonstrated state-of-the-art text-to-...

Xichen Pan, et al. ∙

∙ 11/03/2022

M-to-N Backdoor Paradigm: A Stealthy and Fuzzy Attack to Deep Learning Models

Recent studies show that deep neural networks (DNNs) are vulnerable to b...

Linshan Hou, et al. ∙

∙ 10/17/2022

Extensible Proxy for Efficient NAS

Neural Architecture Search (NAS) has become a de facto approach in the r...

Yuhong Li, et al. ∙

∙ 10/17/2022

What Makes Convolutional Models Great on Long Sequence Modeling?

Convolutional models have been widely used in multiple domains. However,...

Yuhong Li, et al. ∙

∙ 07/22/2022

Numerical integration of stochastic contact Hamiltonian systems via stochastic Herglotz variational principle

In this work we construct a stochastic contact variational integrator an...

Qingyi Zhan, et al. ∙

∙ 09/08/2021

VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce

Video moderation, which refers to remove deviant or explicit content fro...

Tan Tang, et al. ∙

∙ 08/04/2021

Generic Neural Architecture Search via Regression

Most existing neural architecture search (NAS) algorithms are dedicated ...

Yuhong Li, et al. ∙

∙ 06/13/2021

InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping

E-commerce companies have to face abnormal sellers who sell potentially-...

Runshi Liu, et al. ∙

∙ 06/03/2021

TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data

Among ubiquitous multimodal data in the real world, text is the modality...

Pengda Qin, et al. ∙

∙ 10/14/2020

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

High quality AI solutions require joint optimization of AI algorithms, s...

Cong Hao, et al. ∙

∙ 10/14/2020

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...

Qingyi Zhan, et al. ∙

∙ 06/09/2020

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

Adversarial examples are perturbed inputs which can cause a serious thre...

Xiaofeng Mao, et al. ∙

∙ 05/06/2020

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

High quality AI solutions require joint optimization of AI algorithms an...

Yuhong Li, et al. ∙

∙ 11/15/2019

Learning To Characterize Adversarial Subspaces

Deep Neural Networks (DNNs) are known to be vulnerable to the maliciousl...

Xiaofeng Mao, et al. ∙

∙ 11/15/2019

Self-supervised Adversarial Training

Recent work has demonstrated that neural networks are vulnerable to adve...

Kejiang Chen, et al. ∙

∙ 11/14/2019

Self-Supervised Learning For Few-Shot Image Classification

Few-shot image classification aims to classify unseen classes with limit...

Da Chen, et al. ∙

∙ 09/20/2019

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

Developing object detection and tracking on resource-constrained embedde...

Xiaofan Zhang, et al. ∙

∙ 06/25/2019

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

Developing artificial intelligence (AI) at the edge is always challengin...

Xiaofan Zhang, et al. ∙

∙ 05/20/2019

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

Developing deep learning models for resource-constrained Internet-of-Thi...

Xiaofan Zhang, et al. ∙

∙ 04/09/2019

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...

Cong Hao, et al. ∙

∙ 03/18/2019

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...

Xiaofeng Mao, et al. ∙

∙ 02/07/2019

SiamVGG: Visual Tracking using Deeper Siamese Networks

Recently, we have seen a rapid development of Deep Neural Network (DNN) ...

Yuhong Li, et al. ∙

∙ 02/27/2018

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

We propose a network for Congested Scene Recognition called CSRNet to pr...

Yuhong Li, et al. ∙