b'Hui Xu'

DeepAI AI Chat

Featured Co-authors

Xin Wang
353 publications
Wei Zhang
348 publications
Yan Zhang
184 publications
Bin Liu
123 publications
Yang Chen
112 publications
Jing Wang
111 publications
Qing Wang
110 publications
Lei Yang
103 publications
Irwin King
95 publications
Hongzhi Yin
95 publications
Yi Xu
88 publications

research

∙ 05/23/2023

Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet

Transonic buffet is a flow instability phenomenon that arises from the i...

0 Jing Wang, et al. ∙

research

∙ 11/23/2022

Double criterion-based estimator for signal number estimation for the colored noise with unknown covariance matrix

The subspace-based techniques are widely utilized to estimate the parame...

0 Huiyue Yi, et al. ∙

research

∙ 11/20/2022

Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Temporal knowledge graph, serving as an effective way to store and model...

0 Yi Xu, et al. ∙

research

∙ 11/18/2022

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images

Automatic segmentation of head and neck cancer (HNC) tumors and lymph no...

0 Hui Xu, et al. ∙

research

∙ 09/13/2022

Empirical Bayes Multistage Testing for Large-Scale Experiments

Modern application of A/B tests is challenging due to its large scale in...

0 Hui Xu, et al. ∙

research

∙ 08/24/2022

Iterative Adaptively Regularized LASSO-ADMM Algorithm for CFAR Estimation of Sparse Signals: IAR-LASSO-ADMM-CFAR Algorithm

The least-absolute shrinkage and selection operator (LASSO) is a regular...

0 Huiyue Yi, et al. ∙

research

∙ 08/09/2022

STELLA: Sparse Taint Analysis for Enclave Leakage Detection

Intel SGX (Software Guard Extension) is a promising TEE (trusted executi...

0 Yang Chen, et al. ∙

research

∙ 05/04/2022

Estimation of prediction error with known covariate shift

In supervised learning, the estimation of prediction error on unlabeled ...

0 Hui Xu, et al. ∙

research

∙ 04/01/2022

Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations

Cold-start issues have been more and more challenging for providing accu...

0 Yan Zhang, et al. ∙

research

∙ 03/06/2022

foREST: A Tree-based Approach for Fuzzing RESTful APIs

Representational state transfer (REST) is a widely employed architecture...

0 Jiaxian Lin, et al. ∙

research

∙ 03/05/2022

A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection

In this paper, we introduce VCSL (Video Copy Segment Localization), a ne...

4 Sifeng He, et al. ∙

research

∙ 04/25/2021

RULF: Rust Library Fuzzing via API Dependency Graph Traversal

Robustness is a key concern for Rust library development because Rust pr...

0 Jianfeng Jiang, et al. ∙

research

∙ 03/29/2021

SafeDrop: Detecting Memory Deallocation Bugs of Rust Programs via Static Data-Flow Analysis

Rust is an emerging programming language that aims to prevent memory-saf...

0 Mohan Cui, et al. ∙

research

∙ 02/28/2021

Randomization Inference for Composite Experiments with Spillovers and Peer Effects

Group-formation experiments, in which experimental units are randomly as...

0 Hui Xu, et al. ∙

research

∙ 02/22/2021

DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration

Reinforcement learning (RL) has demonstrated great success in the past s...

0 Ya-Yen Tsai, et al. ∙

research

∙ 10/17/2020

Deep Learning in the Era of Edge Computing: Challenges and Opportunities

The era of edge computing has arrived. Although the Internet is the back...

74 Mi Zhang, et al. ∙

research

∙ 10/09/2020

High-Order Relation Construction and Mining for Graph Matching

Graph matching pairs corresponding nodes across two or more graphs. The ...

0 Hui Xu, et al. ∙

research

∙ 03/06/2020

Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs

Rust is an emerging programing language that aims at preventing memory-s...

0 Hui Xu, et al. ∙

research

∙ 12/12/2019

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

A DNN architecture called GPRInvNet is proposed to tackle the challenge ...

15 Bin Liu, et al. ∙

research

∙ 11/13/2019

Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning

In the regression problem, L1, L2 are the most commonly-used loss functi...

0 Faen Zhang, et al. ∙

research

∙ 11/13/2019

Regression via Arbitrary Quantile Modeling

In the regression problem, L1 and L2 are the most commonly used loss fun...

0 Faen Zhang, et al. ∙

research

∙ 09/05/2019

Detecting Deep Neural Network Defects with Data Flow Analysis

Deep neural networks (DNNs) are shown to be promising solutions in many ...

0 Jiazhen Gu, et al. ∙

research

∙ 08/31/2019

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking

The use of automatic methods, often referred to as Neural Architecture S...

0 Shen Yan, et al. ∙

research

∙ 06/08/2019

Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods

Nektar++ is an open-source framework that provides a flexible, high-perf...

0 David Moxey, et al. ∙

research

∙ 06/27/2018

DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation

This paper investigates the piracy problem of deep learning models. Desi...

0 Hui Xu, et al. ∙

research

∙ 12/05/2017

On Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs

Symbolic execution is an important software testing approach. It has bee...

0 Hui Xu, et al. ∙

research

∙ 10/03/2017

On Secure and Usable Program Obfuscation: A Survey

Program obfuscation is a widely employed approach for software intellect...

0 Hui Xu, et al. ∙