b'Qiong Zhang'

research

∙ 09/15/2023

On the Asymptotics of Graph Cut Objectives for Experimental Designs of Network A/B Testing

A/B testing is an effective way to assess the potential impacts of two t...

0 Qiong Zhang, et al. ∙

research

∙ 06/03/2023

Forgettable Federated Linear Learning with Certified Data Removal

Federated learning (FL) is a trending distributed learning framework tha...

1 Ruinan Jin, et al. ∙

research

∙ 10/05/2022

FedMT: Federated Learning with Mixed-type Labels

In federated learning (FL), classifiers (e.g., deep networks) are traine...

4 Qiong Zhang, et al. ∙

research

∙ 04/20/2022

Reinforced Structured State-Evolution for Vision-Language Navigation

Vision-and-language Navigation (VLN) task requires an embodied agent to ...

0 Jinyu Chen, et al. ∙

research

∙ 08/11/2021

Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder

State of the art (SOTA) few-shot learning (FSL) methods suffer significa...

0 Hanwen Liang, et al. ∙

research

∙ 07/03/2021

Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures

When a population exhibits heterogeneity, we often model it via a finite...

0 Qiong Zhang, et al. ∙

research

∙ 01/11/2021

A Degradation Performance Model With Mixed-type Covariates and Latent Heterogeneity

Successful modeling of degradation performance data is essential for acc...

0 Xuxue Sun, et al. ∙

research

∙ 10/28/2020

Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples

Modern methods often formulate the counting of cells from microscopic im...

15 Xin Ding, et al. ∙

research

∙ 10/20/2020

Distributed Learning of Finite Gaussian Mixtures

Advances in information technology have led to extremely large datasets ...

0 Qiong Zhang, et al. ∙

research

∙ 08/14/2020

Optimal Design for A/B Testing in the Presence of Covariates and Network Connection

A/B testing, also known as controlled experiments, refers to the statist...

0 Qiong Zhang, et al. ∙

research

∙ 08/02/2020

SemEval-2020 Task 5: Counterfactual Recognition

We present a counterfactual recognition (CR) task, the shared Task 5 of ...

0 Xiaoyu Yang, et al. ∙

research

∙ 05/22/2020

Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models

Many business documents processed in modern NLP and IR pipelines are vis...

0 Mengxi Wei, et al. ∙

research

∙ 02/27/2020

Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning

Multi-role dialogue understanding comprises a wide range of diverse task...

0 Tianyi Wang, et al. ∙

research

∙ 02/19/2020

A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance

Gaussian mixture reduction (GMR) is the problem of approximating a finit...

0 Qiong Zhang, et al. ∙

research

∙ 02/04/2020

Robust Optimal Design of Two-Armed Trials with Side Information

Significant evidence has become available that emphasizes the importance...

0 Qiong Zhang, et al. ∙

research

∙ 01/16/2020

Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference

Accelerated life testing (ALT) is typically used to assess the reliabili...

0 Ye Chen, et al. ∙

research

∙ 11/20/2019

Blockchain-Assisted Spectrum Trading between Elastic Virtual Optical Networks

In communication networks, network virtualization can usually provide be...

0 Shifeng Ding, et al. ∙

research

∙ 11/17/2019

Rumor Detection on Social Media: Datasets, Methods and Opportunities

Social media platforms have been used for information and news gathering...

0 Quanzhi Li, et al. ∙

research

∙ 11/05/2019

Review-based Question Generation with Adaptive Instance Transfer and Augmentation

Online reviews provide rich information about products and service, whil...

0 Qian Yu, et al. ∙

research

∙ 11/01/2019

Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization

The number of personal stories about sexual harassment shared online has...

0 Yingchi Liu, et al. ∙

research

∙ 10/13/2019

A Pooled Quantile Estimator for Parallel Simulations

Quantile is an important risk measure quantifying the stochastic system ...

0 Qiong Zhang, et al. ∙

research

∙ 08/30/2019

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

The task of Chinese text spam detection is very challenging due to both ...

0 Zhuoren Jiang, et al. ∙

research

∙ 03/27/2019

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents

Visually rich documents (VRDs) are ubiquitous in daily business and life...

0 Xiaojing Liu, et al. ∙

research

∙ 03/06/2019

Multi-Instance Learning for End-to-End Knowledge Base Question Answering

End-to-end training has been a popular approach for knowledge base quest...

0 Mengxi Wei, et al. ∙

research

∙ 02/01/2019

D-optimal Design for Network A/B Testing

A/B testing refers to the statistical procedure of conducting an experim...

0 Victoria Pokhiko, et al. ∙

research

∙ 11/14/2018

Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector

Distant supervised relation extraction has been successfully applied to ...

0 Shanchan Wu, et al. ∙

research

∙ 02/10/2018

Aurora: Providing Trusted System Services for Enclaves On an Untrusted System

Intel SGX provisions shielded executions for security-sensitive computat...

0 Hongliang Liang, et al. ∙

research

∙ 02/02/2018

QoS-aware Dynamic Fog Service Provisioning

Recent advances in the areas of Internet of Things (IoT), cloud computin...

0 Ashkan Yousefpour, et al. ∙

research

∙ 01/25/2018

Generating Handwritten Chinese Characters using CycleGAN

Handwriting of Chinese has long been an important skill in East Asia. Ho...

0 Bo Chang, et al. ∙

Qiong Zhang

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