b'Yao Li'

A deep learning method for solving Fokker-Planck equations

The time evolution of the probability distribution of a stochastic diffe...
12/19/2020 ∙ by Jiayu Zhai, et al. ∙ 0 ∙ share

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A deep learning based interactive sketching system for fashion images design

In this work, we propose an interactive system to design diverse high-qu...
10/09/2020 ∙ by Yao Li, et al. ∙ 38 ∙ share

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Linear Convergent Decentralized Optimization with Compression

Communication compression has been extensively adopted to speed up large...
07/01/2020 ∙ by Xiaorui Liu, et al. ∙ 0 ∙ share

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Towards Better Opioid Antagonists Using Deep Reinforcement Learning

Naloxone, an opioid antagonist, has been widely used to save lives from ...
03/26/2020 ∙ by Jianyuan Deng, et al. ∙ 0 ∙ share

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A Fractional-Order Normalized Bouc-Wen Model for Piezoelectric Hysteresis Nonlinearity

This paper presents a new fractional-order normalized Bouc-Wen (BW) (FON...
03/10/2020 ∙ by Shengzheng Kang, et al. ∙ 0 ∙ share

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Stationary distributions of persistent ecological systems

We analyze ecological systems that are influenced by random environmenta...
03/09/2020 ∙ by Alexandru Hening, et al. ∙ 0 ∙ share

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Numerical computations of geometric ergodicity for stochastic dynamics

A probabilistic approach of computing geometric rate of convergence of s...
01/07/2020 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Using coupling methods to estimate sample quality for stochastic differential equations

A probabilistic approach for estimating sample qualities for stochastic ...
12/21/2019 ∙ by Matthew Dobson, et al. ∙ 0 ∙ share

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Embracing a mechanized formalization gap

If a code base is so big and complicated that complete mechanical verifi...
10/25/2019 ∙ by Antal Spector-Zabusky, et al. ∙ 0 ∙ share

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A Double Residual Compression Algorithm for Efficient Distributed Learning

Large-scale machine learning models are often trained by parallel stocha...
10/16/2019 ∙ by Xiaorui Liu, et al. ∙ 0 ∙ share

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Improve variational autoEncoder with auxiliary softmax multiclassifier

As a general-purpose generative model architecture, VAE has been widely ...
08/17/2019 ∙ by Yao Li, et al. ∙ 0 ∙ share

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On linear convergence of two decentralized algorithms

Decentralized algorithms solve multi-agent problems over a connected net...
06/17/2019 ∙ by Yao Li, et al. ∙ 0 ∙ share

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From C to Interaction Trees: Specifying, Verifying, and Testing a Networked Server

We present the first formal verification of a networked server implement...
11/29/2018 ∙ by Nicolas Koh, et al. ∙ 0 ∙ share

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Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding

Recent studies have demonstrated the vulnerability of deep convolutional...
11/19/2018 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Image Super-Resolution Using VDSR-ResNeXt and SRCGAN

Over the past decade, many Super Resolution techniques have been develop...
10/10/2018 ∙ by Saifuddin Hitawala, et al. ∙ 0 ∙ share

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Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

We present a new algorithm to train a robust neural network against adve...
10/01/2018 ∙ by Xuanqing Liu, et al. ∙ 0 ∙ share

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Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision

In this paper, a novel deep-learning based framework is proposed to infe...
09/21/2018 ∙ by Kun Zhou, et al. ∙ 0 ∙ share

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Ready, Set, Verify! Applying hs-to-coq to real-world Haskell code

Good tools can bring mechanical verification to programs written in main...
03/19/2018 ∙ by Joachim Breitner, et al. ∙ 0 ∙ share

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Deep Descriptor Transforming for Image Co-Localization

Reusable model design becomes desirable with the rapid expansion of mach...
05/08/2017 ∙ by Xiu-Shen Wei, et al. ∙ 0 ∙ share

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Sequential Person Recognition in Photo Albums with a Recurrent Network

Recognizing the identities of people in everyday photos is still a very ...
11/30/2016 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Attend in groups: a weakly-supervised deep learning framework for learning from web data

Large-scale datasets have driven the rapid development of deep neural ne...
11/30/2016 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution

Given a set of images containing objects from the same category, the tas...
03/15/2016 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Mining Mid-level Visual Patterns with Deep CNN Activations

The purpose of mid-level visual element discovery is to find clusters of...
06/21/2015 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Mid-level Deep Pattern Mining

Mid-level visual element discovery aims to find clusters of image patche...
11/24/2014 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Contextual Hypergraph Modelling for Salient Object Detection

Salient object detection aims to locate objects that capture human atten...
10/22/2013 ∙ by Xi Li, et al. ∙ 0 ∙ share

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Characterness: An Indicator of Text in the Wild

Text in an image provides vital information for interpreting its content...
09/25/2013 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Yao Li

Featured Co-authors

Chunhua Shen

Ian Reid

Anton van den Hengel

Cho-Jui Hsieh

Jiliang Tang

Zhi-Hua Zhou

Xi Li

Lingqiao Liu

Kui Jia

Guosheng Lin

Jianxin Wu

A deep learning method for solving Fokker-Planck equations

A deep learning based interactive sketching system for fashion images design

Linear Convergent Decentralized Optimization with Compression

Towards Better Opioid Antagonists Using Deep Reinforcement Learning

A Fractional-Order Normalized Bouc-Wen Model for Piezoelectric Hysteresis Nonlinearity

Stationary distributions of persistent ecological systems

Numerical computations of geometric ergodicity for stochastic dynamics

Using coupling methods to estimate sample quality for stochastic differential equations

Embracing a mechanized formalization gap

A Double Residual Compression Algorithm for Efficient Distributed Learning

Improve variational autoEncoder with auxiliary softmax multiclassifier

On linear convergence of two decentralized algorithms

From C to Interaction Trees: Specifying, Verifying, and Testing a Networked Server

Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding

Image Super-Resolution Using VDSR-ResNeXt and SRCGAN

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

Adversarial 3D Human Pose Estimation via Multimodal Depth Supervision

Ready, Set, Verify! Applying hs-to-coq to real-world Haskell code

Deep Descriptor Transforming for Image Co-Localization

Sequential Person Recognition in Photo Albums with a Recurrent Network

Attend in groups: a weakly-supervised deep learning framework for learning from web data

Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution

Mining Mid-level Visual Patterns with Deep CNN Activations

Mid-level Deep Pattern Mining

Contextual Hypergraph Modelling for Salient Object Detection

Characterness: An Indicator of Text in the Wild