b'Qianqian Xu'

research

∙ 04/18/2023

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization

In this paper, we extends original Neural Collapse Phenomenon by proving...

0 Peifeng Gao, et al. ∙

research

∙ 12/06/2022

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective

Positive-Unlabeled (PU) learning tries to learn binary classifiers from ...

0 Yunrui Zhao, et al. ∙

research

∙ 10/08/2022

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm

The Partial Area Under the ROC Curve (PAUC), typically including One-way...

0 Huiyang Shao, et al. ∙

research

∙ 09/13/2022

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game

Rank aggregation with pairwise comparisons has shown promising results i...

0 Ke Ma, et al. ∙

research

∙ 06/28/2022

Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction

Click-through rate (CTR) prediction, whose goal is to predict the probab...

0 Tianwei Cao, et al. ∙

research

∙ 06/24/2022

Geometry Interaction Knowledge Graph Embeddings

Knowledge graph (KG) embeddings have shown great power in learning repre...

0 Zongsheng Cao, et al. ∙

research

∙ 06/24/2022

ER: Equivariance Regularizer for Knowledge Graph Completion

Tensor factorization and distanced based models play important roles in ...

0 Zongsheng Cao, et al. ∙

research

∙ 06/23/2022

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling

The recently proposed Collaborative Metric Learning (CML) paradigm has a...

0 Shilong Bao, et al. ∙

research

∙ 04/02/2022

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning

Conditional image generation is an active research topic including text2...

0 Zhenhuan Liu, et al. ∙

research

∙ 07/28/2021

Learning with Multiclass AUC: Theory and Algorithms

The Area under the ROC curve (AUC) is a well-known ranking metric for pr...

59 Zhiyong Yang, et al. ∙

research

∙ 07/05/2021

Poisoning Attack against Estimating from Pairwise Comparisons

As pairwise ranking becomes broadly employed for elections, sports compe...

0 Ke Ma, et al. ∙

research

∙ 03/12/2021

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association

Nowadays, we have witnessed the early progress on learning the associati...

1 Peisong Wen, et al. ∙

research

∙ 08/07/2020

NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal

Retinal images have been widely used by clinicians for early diagnosis o...

1 Chongyi Li, et al. ∙

research

∙ 07/14/2020

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection

We present an effective method to progressively integrate and refine the...

7 Chongyi Li, et al. ∙

research

∙ 04/29/2020

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction

As an effective learning paradigm against insufficient training samples,...

1 Zhiyong Yang, et al. ∙

research

∙ 03/02/2020

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

Deep convolutional neural networks have achieved competitive performance...

0 Zuyao Chen, et al. ∙

research

∙ 12/01/2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

Learning representation from relative similarity comparisons, often call...

0 Ke Ma, et al. ∙

research

∙ 10/14/2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

Due to the inherent uncertainty of data, the problem of predicting parti...

1 Qianqian Xu, et al. ∙

research

∙ 06/18/2019

Learning Personalized Attribute Preference via Multi-task AUC Optimization

Traditionally, most of the existing attribute learning methods are train...

0 Zhiyong Yang, et al. ∙

research

∙ 03/10/2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing

The problem of estimating subjective visual properties (SVP) of images (...

0 Qianqian Xu, et al. ∙

research

∙ 12/05/2018

Robust Ordinal Embedding from Contaminated Relative Comparisons

Existing ordinal embedding methods usually follow a two-stage routine: o...

0 Ke Ma, et al. ∙

research

∙ 12/05/2018

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin

In the absence of prior knowledge, ordinal embedding methods obtain new ...

0 Ke Ma, et al. ∙

research

∙ 07/29/2018

A Margin-based MLE for Crowdsourced Partial Ranking

A preference order or ranking aggregated from pairwise comparison data i...

0 Qianqian Xu, et al. ∙

research

∙ 03/08/2018

From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation

In crowdsourced preference aggregation, it is often assumed that all the...

0 Qianqian Xu, et al. ∙

research

∙ 11/17/2017

Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

Learning representation from relative similarity comparisons, often call...

0 Ke Ma, et al. ∙

research

∙ 11/16/2017

HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation

Recently, crowdsourcing has emerged as an effective paradigm for human-p...

0 Qianqian Xu, et al. ∙

research

∙ 07/18/2017

Exploring Outliers in Crowdsourced Ranking for QoE

Outlier detection is a crucial part of robust evaluation for crowdsource...

0 Qianqian Xu, et al. ∙

research

∙ 05/19/2016

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

With the rapid growth of crowdsourcing platforms it has become easy and ...

0 Qianqian Xu, et al. ∙

research

∙ 02/28/2015

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs

Crowdsourcing platforms are now extensively used for conducting subjecti...

0 Braxton Osting, et al. ∙

Qianqian Xu

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