Hang Yu | DeepAI

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495 publications
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182 publications
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126 publications
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110 publications
Zhenguo Li
107 publications
Hang Xu
84 publications
Zhaoyang Zhang
81 publications
Wei Zhao
72 publications
Tianyu Liu
68 publications
Xianglong Liu
59 publications

∙ 08/15/2023

MSAT: Matrix stability analysis tool for shock-capturing schemes

The simulation of supersonic or hypersonic flows often suffers from nume...

0 Weijie Ren, et al. ∙

∙ 08/07/2023

Numerical stability analysis of shock-capturing methods for strong shocks II: high-order finite-volume schemes

The shock instability problem commonly arises in flow simulations involv...

0 Weijie Ren, et al. ∙

∙ 05/24/2023

Optimal subsampling for large scale Elastic-net regression

Datasets with sheer volume have been generated from fields including com...

0 Hang Yu, et al. ∙

∙ 05/05/2023

Numerical stability analysis of shock-capturing methods for strong shocks I: second-order MUSCL schemes

Modern shock-capturing schemes often suffer from numerical shock anomali...

0 Weijie Ren, et al. ∙

∙ 04/20/2023

NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models

Spike sorting, which classifies spiking events of different neurons from...

0 Hang Yu, et al. ∙

∙ 01/31/2023

BALANCE: Bayesian Linear Attribution for Root Cause Localization

Root Cause Analysis (RCA) plays an indispensable role in distributed dat...

0 Chaoyu Chen, et al. ∙

∙ 01/29/2023

6-DoF Robotic Grasping with Transformer

Robotic grasping aims to detect graspable points and their corresponding...

0 Zhenjie Zhao, et al. ∙

∙ 01/18/2023

AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors

Obstacle avoidance is an essential topic in the field of autonomous dron...

0 Hang Yu, et al. ∙

∙ 03/09/2022

Model-Agnostic Multitask Fine-tuning for Few-shot Vision-Language Transfer Learning

Despite achieving state-of-the-art zero-shot performance, existing visio...

0 Zhenhailong Wang, et al. ∙

∙ 10/25/2021

Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning

Knowledge Base Question Answering (KBQA) aims to answer userquestions fr...

0 Weiqiang Jin, et al. ∙

∙ 10/24/2021

CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector

Due to the success of Bidirectional Encoder Representations from Transfo...

0 Weiqiang Jin, et al. ∙

∙ 08/28/2021

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

Accurate animal pose estimation is an essential step towards understandi...

3 Hang Yu, et al. ∙

∙ 07/23/2021

Circular arc polygons, numerical conformal mappings, and moduli of quadrilaterals

We study numerical conformal mappings of planar Jordan domains with boun...

0 Mohamed Nasser, et al. ∙

∙ 05/13/2021

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening

This work presents a probabilistic channel pruning method to accelerate ...

0 Wenqi Shao, et al. ∙

∙ 05/04/2021

Automatic Learning to Detect Concept Drift

Many methods have been proposed to detect concept drift, i.e., the chang...

6 Hang Yu, et al. ∙

∙ 03/30/2021

A General Framework of Nonparametric Feature Selection in High-Dimensional Data

Nonparametric feature selection in high-dimensional data is an important...

0 Hang Yu, et al. ∙

∙ 02/20/2021

A unified construction of all-speed HLL-type schemes for hypersonic heating computations

In this paper, a unified framework to develop all-speed HLL-type schemes...

0 Wenjia Xie, et al. ∙

∙ 12/30/2020

Elastic Net based Feature Ranking and Selection

Feature selection is important in data representation and intelligent di...

0 Shaode Yu, et al. ∙

∙ 09/29/2020

A task-based approach to parallel parametric linear programming solving, and application to polyhedral computations

Parametric linear programming is a central operation for polyhedral comp...

0 Camille Coti, et al. ∙

∙ 09/16/2020

Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models

Estimating time-varying graphical models are of paramount importance in ...

0 Hang Yu, et al. ∙

∙ 05/19/2020

Patch Attack for Automatic Check-out

Adversarial examples are inputs with imperceptible perturbations that ea...

5 Aishan Liu, et al. ∙

∙ 11/18/2019

An Efficient Parametric Linear Programming Solver and Application to Polyhedral Projection

Polyhedral projection is a main operation of the polyhedron abstract dom...

0 Hang Yu, et al. ∙

∙ 09/19/2019

Training Robust Deep Neural Networks via Adversarial Noise Propagation

Deep neural networks have been found vulnerable to noises like adversari...

0 Aishan Liu, et al. ∙

∙ 09/16/2019

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity

Deep neural networks (DNNs) are vulnerable to adversarial examples where...

14 Chongzhi Zhang, et al. ∙

∙ 09/11/2019

Towards Noise-Robust Neural Networks via Progressive Adversarial Training

Adversarial examples, intentionally designed inputs tending to mislead d...

0 Hang Yu, et al. ∙

∙ 04/12/2019

Parallel parametric linear programming solving, and application to polyhedral computations

Parametric linear programming is central in polyhedral computations and ...

0 Camille Coti, et al. ∙

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