Qing Liu

is this you? claim profile

0 followers
HUAWEI Technologies Co., Ltd. ∙ National University of Singapore ∙ New Jersey Institute of Technology ∙ Harbin Institute of Technology ∙ Johns Hopkins University

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational...
07/08/2020 ∙ by Jieyang Chen, et al. ∙ 0 ∙ share

read it
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion

Computer vision systems in real-world applications need to be robust to ...
06/28/2020 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

read it
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation

Modeling the sequential correlation of users' historical interactions is...
04/25/2020 ∙ by Feng Liu, et al. ∙ 0 ∙ share

read it
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion

Recent work has shown that deep convolutional neural networks (DCNNs) do...
03/10/2020 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

read it
Adversarial Attack on DL-based Massive MIMO CSI Feedback

With the increasing application of deep learning (DL) algorithms in wire...
02/23/2020 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
Incremental Learning for Metric-Based Meta-Learners

Majority of the modern meta-learning methods for few-shot classification...
02/11/2020 ∙ by Qing Liu, et al. ∙ 17 ∙ share

read it
Localizing Occluders with Compositional Convolutional Networks

Compositional convolutional networks are generative compositional models...
11/18/2019 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

read it
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...
11/05/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
Dual-attention Focused Module for Weakly Supervised Object Localization

The research on recognizing the most discriminative regions provides ref...
09/11/2019 ∙ by Yukun Zhou, et al. ∙ 0 ∙ share

read it
Compositional Convolutional Networks For Robust Object Classification under Occlusion

Deep convolutional neural networks (DCNNs) are powerful models that yiel...
05/28/2019 ∙ by Adam Kortylewski, et al. ∙ 0 ∙ share

read it
Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions

An individualized risk prediction model that dynamically updates the pro...
04/18/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation

Existing joint optic disc and cup segmentation approaches are developed ...
04/18/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is widely recognized as an important...
04/05/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Building open domain conversational systems that allow users to have eng...
12/27/2018 ∙ by Chandra Khatri, et al. ∙ 0 ∙ share

read it
Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet

We look into the minimax results for the anisotropic two-dimensional fun...
12/18/2018 ∙ by Rida Benhaddou, et al. ∙ 0 ∙ share

read it
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets

In a crowdsourcing market, a requester is looking to form a team of work...
12/12/2018 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data

Detecting semantic parts of an object is a challenging task in computer ...
11/28/2018 ∙ by Yutong Bai, et al. ∙ 12 ∙ share

read it
Minimax adaptive wavelet estimator for the anisotropic functional deconvolution model with unknown kernel

In the present paper, we consider the estimation of a periodic two-dimen...
11/22/2018 ∙ by Rida Benhaddou, et al. ∙ 0 ∙ share

read it
Bahadur representations for the bootstrap median absolute deviation and the application to projection depth weighted mean

Median absolute deviation (hereafter MAD) is known as a robust alternati...
02/28/2018 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
Limit theory for an AR(1) model with intercept and a possible infinite variance

In this paper, we derive the limit distribution of the least squares est...
02/28/2018 ∙ by Qing Liu, et al. ∙ 0 ∙ share

read it
Conversational AI: The Science Behind the Alexa Prize

Conversational agents are exploding in popularity. However, much work re...
01/11/2018 ∙ by Ashwin Ram, et al. ∙ 0 ∙ share

read it
Unleashing the Potential of CNNs for Interpretable Few-Shot Learning

Convolutional neural networks (CNNs) have been generally acknowledged as...
11/22/2017 ∙ by Boyang Deng, et al. ∙ 0 ∙ share

read it

Qing Liu

Featured Co-authors

Alan Yuille

Shi Jin

Stefano Soatto

Lingxi Xie

Feng Liu

Yang Zhao

Chao-Kai Wen

Dilek Hakkani-Tur

Wei Guo

Xiaopeng Hong

Zhishuai Zhang

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation

Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion

Adversarial Attack on DL-based Massive MIMO CSI Feedback

Incremental Learning for Metric-Based Meta-Learners

Localizing Occluders with Compositional Convolutional Networks

A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Dual-attention Focused Module for Weakly Supervised Object Localization

Compositional Convolutional Networks For Robust Object Classification under Occlusion

Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions

DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet

An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data

Minimax adaptive wavelet estimator for the anisotropic functional deconvolution model with unknown kernel

Bahadur representations for the bootstrap median absolute deviation and the application to projection depth weighted mean

Limit theory for an AR(1) model with intercept and a possible infinite variance

Conversational AI: The Science Behind the Alexa Prize

Unleashing the Potential of CNNs for Interpretable Few-Shot Learning