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...
share
research
∙
06/03/2023
Forgettable Federated Linear Learning with Certified Data Removal
Federated learning (FL) is a trending distributed learning framework tha...
research
∙
10/05/2022
FedMT: Federated Learning with Mixed-type Labels
In federated learning (FL), classifiers (e.g., deep networks) are traine...
research
∙
04/20/2022
Reinforced Structured State-Evolution for Vision-Language Navigation
Vision-and-language Navigation (VLN) task requires an embodied agent to ...
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...
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...
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...
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...
research
∙
10/20/2020
Distributed Learning of Finite Gaussian Mixtures
Advances in information technology have led to extremely large datasets ...
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...
research
∙
08/02/2020
SemEval-2020 Task 5: Counterfactual Recognition
We present a counterfactual recognition (CR) task, the shared Task 5 of ...
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...
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...
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...
research
∙
02/04/2020
Robust Optimal Design of Two-Armed Trials with Side Information
Significant evidence has become available that emphasizes the importance...
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...
research
∙
11/20/2019
Blockchain-Assisted Spectrum Trading between Elastic Virtual Optical Networks
In communication networks, network virtualization can usually provide be...
research
∙
11/17/2019
Rumor Detection on Social Media: Datasets, Methods and Opportunities
Social media platforms have been used for information and news gathering...
research
∙
11/05/2019
Review-based Question Generation with Adaptive Instance Transfer and Augmentation
Online reviews provide rich information about products and service, whil...
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...
research
∙
10/13/2019
A Pooled Quantile Estimator for Parallel Simulations
Quantile is an important risk measure quantifying the stochastic system ...
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 ...
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...
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...
research
∙
02/01/2019
D-optimal Design for Network A/B Testing
A/B testing refers to the statistical procedure of conducting an experim...
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 ...
research
∙
02/10/2018
Aurora: Providing Trusted System Services for Enclaves On an Untrusted System
Intel SGX provisions shielded executions for security-sensitive computat...
research
∙
02/02/2018
QoS-aware Dynamic Fog Service Provisioning
Recent advances in the areas of Internet of Things (IoT), cloud computin...
research
∙
01/25/2018