b'Fang Liu'

research

∙ 09/19/2023

DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning

Differential privacy (DP) is the state-of-the-art framework for guarante...

0 Spencer Giddens, et al. ∙

research

∙ 09/16/2023

Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022

As impact of COVID-19 pandemic winds down, both individuals and society ...

0 Tian Yan, et al. ∙

research

∙ 08/28/2023

Referring Image Segmentation Using Text Supervision

Existing Referring Image Segmentation (RIS) methods typically require ex...

0 Fang Liu, et al. ∙

research

∙ 08/27/2023

Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids

Drones have been widely used in many areas of our daily lives. It reliev...

0 Xinyi Wang, et al. ∙

research

∙ 08/26/2023

ZC3: Zero-Shot Cross-Language Code Clone Detection

Developers introduce code clones to improve programming productivity. Ma...

0 Jia Li, et al. ∙

research

∙ 07/24/2023

A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning

It is commonplace to use data containing personal information to build p...

0 Spencer Giddens, et al. ∙

research

∙ 07/10/2023

LINFA: a Python library for variational inference with normalizing flow and annealing

Variational inference is an increasingly popular method in statistics an...

0 Yu Wang, et al. ∙

research

∙ 04/10/2023

Privacy-preserving Inference of Group Mean Difference in Zero-inflated Right Skewed Data with Partitioning and Censoring

We examine privacy-preserving inferences of group mean differences in ze...

0 Fang Liu, et al. ∙

research

∙ 03/22/2023

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification

To address the challenges of long-tailed classification, researchers hav...

0 Yanbiao Ma, et al. ∙

research

∙ 02/19/2023

Noise-Augmented ℓ_0 Regularization of Tensor Regression with Tucker Decomposition

Tensor data are multi-dimension arrays. Low-rank decomposition-based reg...

0 Tian Yan, et al. ∙

research

∙ 02/11/2023

Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records

Electronic health records (EHR) often contain sensitive medical informat...

0 Bingyue Su, et al. ∙

research

∙ 02/08/2023

Syntax and Domain Aware Model for Unsupervised Program Translation

There is growing interest in software migration as the development of so...

0 Fang Liu, et al. ∙

research

∙ 02/06/2023

Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search

The construction of machine learning models involves many bi-level multi...

0 Chao Wang, et al. ∙

research

∙ 12/30/2022

Delving into Semantic Scale Imbalance

Model bias triggered by long-tailed data has been widely studied. Howeve...

0 Yanbiao Ma, et al. ∙

research

∙ 12/12/2022

A Survey on Natural Language Processing for Programming

Natural language processing for programming, which aims to use NLP techn...

0 Qingfu Zhu, et al. ∙

research

∙ 08/12/2022

dual unet:a novel siamese network for change detection with cascade differential fusion

Change detection (CD) of remote sensing images is to detect the change r...

0 Kaixuan Jiang, et al. ∙

research

∙ 06/02/2022

A Dual-fusion Semantic Segmentation Framework With GAN For SAR Images

Deep learning based semantic segmentation is one of the popular methods ...

12 Donghui Li, et al. ∙

research

∙ 05/31/2022

Symmetrized two-scale finite element discretizations for partial differential equations with symmetric solutions

In this paper, a symmetrized two-scale finite element method is proposed...

0 Pengyu Hou, et al. ∙

research

∙ 05/23/2022

Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies

The current work on reinforcement learning (RL) from demonstrations ofte...

0 Yu Wang, et al. ∙

research

∙ 05/06/2022

Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery

Accelerated discovery with machine learning (ML) has begun to provide th...

0 Chenru Duan, et al. ∙

research

∙ 04/21/2022

Non-autoregressive Model for Full-line Code Completion

Code completion tools are frequently used by software developers to acce...

0 Fang Liu, et al. ∙

research

∙ 04/18/2022

Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models

We propose the AdaPtive Noise Augmentation (PANDA) procedure to regulari...

0 Yinan Li, et al. ∙

research

∙ 04/12/2022

Compact Model Training by Low-Rank Projection with Energy Transfer

Low-rankness plays an important role in traditional machine learning, bu...

0 Kailing Guo, et al. ∙

research

∙ 04/05/2022

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

The inherent slow imaging speed of Magnetic Resonance Image (MRI) has sp...

3 Wei Peng, et al. ∙

research

∙ 03/24/2022

Transformers Meet Visual Learning Understanding: A Comprehensive Review

Dynamic attention mechanism and global modeling ability make Transformer...

0 Yuting Yang, et al. ∙

research

∙ 02/01/2022

AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation

Approximating probability distributions can be a challenging task, parti...

0 Emma R. Cobian, et al. ∙

research

∙ 01/26/2022

Learning to Recommend Method Names with Global Context

In programming, the names for the program entities, especially for the m...

0 Fang Liu, et al. ∙

research

∙ 12/08/2021

Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization

Training speaker-discriminative and robust speaker verification systems ...

0 Mufan Sang, et al. ∙

research

∙ 11/30/2021

Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data

The COVID-19 pandemic has affected societies and human health and well-b...

0 Tian Yan, et al. ∙

research

∙ 10/16/2021

Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling

We propose Noise-Augmented Privacy-Preserving Empirical Risk Minimizatio...

0 Yinan Li, et al. ∙

research

∙ 08/30/2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

This report summarizes the results of Learning to Understand Aerial Imag...

3 Gui-Song Xia, et al. ∙

research

∙ 08/28/2021

Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models

Fast inference of numerical model parameters from data is an important p...

1 Yu Wang, et al. ∙

research

∙ 06/24/2021

Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles

Computational virtual high-throughput screening (VHTS) with density func...

0 Chenru Duan, et al. ∙

research

∙ 06/18/2021

Privacy-preserving Publication and Sharing of COVID-19 Pandemic Data

A huge amount of data of various types are collected during the COVID-19...

0 Dong Wang, et al. ∙

research

∙ 05/04/2021

One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment

As an effective technique to achieve the implementation of deep neural n...

0 Qigong Sun, et al. ∙

research

∙ 03/09/2021

MWQ: Multiscale Wavelet Quantized Neural Networks

Model quantization can reduce the model size and computational latency, ...

0 Qigong Sun, et al. ∙

research

∙ 03/04/2021

Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization

Since model quantization helps to reduce the model size and computation ...

0 Qigong Sun, et al. ∙

research

∙ 01/01/2021

Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution

Homogeneity attack allows adversaries to obtain the exact values on the ...

0 Fang Liu, et al. ∙

research

∙ 01/01/2021

Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data

The rapid growth of GPS technology and mobile devices has led to a massi...

0 Fang Liu, et al. ∙

research

∙ 12/29/2020

Multi-task Learning based Pre-trained Language Model for Code Completion

Code completion is one of the most useful features in the Integrated Dev...

0 Fang Liu, et al. ∙

research

∙ 10/13/2020

Multi-Armed Bandits with Dependent Arms

We study a variant of the classical multi-armed bandit problem (MABP) wh...

7 Rahul Singh, et al. ∙

research

∙ 09/29/2020

Selective Cascade of Residual ExtraTrees

We propose a novel tree-based ensemble method named Selective Cascade of...

0 Qimin Liu, et al. ∙

research

∙ 09/19/2020

Schedule Sequence Design for Broadcast in Multi-channel Ad Hoc Networks

We consider a single-hop ad hoc network in which each node aims to broad...

0 Fang Liu, et al. ∙

research

∙ 07/25/2020

A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19

The outbreak of the novel coronavirus (COVID-19) is unfolding as a major...

8 Rahul Singh, et al. ∙

research

∙ 07/06/2020

A modified axiomatic foundation of the analytic hierarchy process

This paper reports a modified axiomatic foundation of the analytic hiera...

0 Fang Liu, et al. ∙

research

∙ 07/01/2020

A Statistical Overview on Data Privacy

The eruption of big data with the increasing collection and processing o...

0 Fang Liu, et al. ∙

research

∙ 06/27/2020

Privacy Risk and Preservation For COVID-19 Contact Tracing Apps

Contact tracing in the COVID-19 pandemic is key to prevent the further s...

0 Dong Wang, et al. ∙

research

∙ 06/13/2020

Delay-Constrained Topology-Transparent Distributed Scheduling for MANETs

Transparent topology is common in many mobile ad hoc networks (MANETs) s...

0 Lei Deng, et al. ∙

research

∙ 06/10/2020

MultiResolution Attention Extractor for Small Object Detection

Small objects are difficult to detect because of their low resolution an...

0 Fan Zhang, et al. ∙

research

∙ 06/06/2020

Contextual Bandits with Side-Observations

We investigate contextual bandits in the presence of side-observations a...

2 Rahul Singh, et al. ∙

Fang Liu

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