Qing Liu

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

U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Learning to rank with implicit feedback is one of the most important tas...
11/01/2020 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment

Retinal image quality assessment is an essential task in the diagnosis o...
10/26/2020 ∙ by Ziwen Xu, et al. ∙ 0 ∙ share

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MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

Data management is becoming increasingly important in dealing with the l...
10/12/2020 ∙ by Xin Liang, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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

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Localizing Occluders with Compositional Convolutional Networks

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Qing Liu

Featured Co-authors

Jun Wang

Alan Yuille

Weinan Zhang

Shi Jin

Yong Yu

Stefano Soatto

Lingxi Xie

Feng Liu

Yang Zhao

Dilek Hakkani-Tur

Chao-Kai Wen

U-rank: Utility-oriented Learning to Rank with Implicit Feedback

A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment

MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

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