b'Xing Hu'

DeepAI AI Chat

Featured Co-authors

Chang Liu
200 publications
Jia Li
122 publications
Yanzhi Wang
120 publications
Yuan Xie
110 publications
Peng Li
106 publications
Ge Li
97 publications
Fan Wang
85 publications
Xin Xia
83 publications
Liu Liu
79 publications
Ying Wang
68 publications
Yang Hu
51 publications

research

∙ 02/13/2023

SkCoder: A Sketch-based Approach for Automatic Code Generation

Recently, deep learning techniques have shown great success in automatic...

0 Jia Li, et al. ∙

research

∙ 10/31/2022

CodeEditor: Learning to Edit Source Code with Pre-trained Models

Developers often perform repetitive code editing activities for various ...

0 Jia Li, et al. ∙

research

∙ 10/31/2022

Poison Attack and Defense on Deep Source Code Processing Models

In the software engineering community, deep learning (DL) has recently b...

0 Jia Li, et al. ∙

research

∙ 08/29/2022

Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System

The deep neural network (DNN) models are deemed confidential due to thei...

0 Zhendong Wang, et al. ∙

research

∙ 08/19/2022

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks

DNN-based video object detection (VOD) powers autonomous driving and vid...

0 Husheng Han, et al. ∙

research

∙ 07/04/2022

On implementing SWMR registers from SWSR registers in systems with Byzantine failures

The implementation of registers from (potentially) weaker registers is a...

0 Xing Hu, et al. ∙

research

∙ 04/12/2022

Toward Robust Spiking Neural Network Against Adversarial Perturbation

As spiking neural networks (SNNs) are deployed increasingly in real-worl...

0 Ling Liang, et al. ∙

research

∙ 04/12/2022

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

Autonomous driving faces great safety challenges for a lack of global pe...

0 Haibao Yu, et al. ∙

research

∙ 03/12/2022

Information retrieval for label noise document ranking by bag sampling and group-wise loss

Long Document retrieval (DR) has always been a tremendous challenge for ...

0 Chunyu Li, et al. ∙

research

∙ 03/07/2022

Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis

Point cloud completion is a generation and estimation issue derived from...

0 Ben Fei, et al. ∙

research

∙ 10/27/2021

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers

Adversarial patch attacks that craft the pixels in a confined region of ...

0 Husheng Han, et al. ∙

research

∙ 08/03/2021

An Impossibility Result on Strong Linearizability in Message-Passing Systems

We prove that in asynchronous message-passing systems where at most one ...

0 David Yu Cheng Chan, et al. ∙

research

∙ 02/26/2021

On Register Linearizability and Termination

In a seminal work, Golab et al. showed that a randomized algorithm that ...

0 Vassos Hadzilacos, et al. ∙

research

∙ 10/28/2020

On Linearizability and the Termination of Randomized Algorithms

We study the question of whether the "termination with probability 1" pr...

0 Vassos Hadzilacos, et al. ∙

research

∙ 09/26/2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning

Graph convolutional network (GCN) emerges as a promising direction to le...

0 Xiaobing Chen, et al. ∙

research

∙ 08/09/2020

SEALing Neural Network Models in Secure Deep Learning Accelerators

Deep learning (DL) accelerators are increasingly deployed on edge device...

0 Pengfei Zuo, et al. ∙

research

∙ 06/11/2020

Randomized Consensus with Regular Registers

The well-known randomized consensus algorithm by Aspnes and Herlihy for ...

0 Vassos Hadzilacos, et al. ∙

research

∙ 01/07/2020

HyGCN: A GCN Accelerator with Hybrid Architecture

In this work, we first characterize the hybrid execution patterns of GCN...

0 Mingyu Yan, et al. ∙

research

∙ 01/01/2020

Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient

Recently, backpropagation through time inspired learning algorithms are ...

14 Ling Liang, et al. ∙

research

∙ 11/03/2019

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

Spiking neural network is an important family of models to emulate the b...

18 Lei Deng, et al. ∙

research

∙ 06/01/2019

Optimal Register Construction in M&M Systems

Motivated by recent distributed systems technology, Aguilera et al. intr...

0 Vassos Hadzilacos, et al. ∙

research

∙ 03/10/2019

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints

As neural networks continue their reach into nearly every aspect of soft...

0 Xing Hu, et al. ∙

research

∙ 01/28/2019

FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture

Neural Network (NN) accelerators with emerging ReRAM (resistive random a...

0 Yu Ji, et al. ∙

research

∙ 01/23/2019

Programmable Neural Network Trojan for Pre-Trained Feature Extractor

Neural network (NN) trojaning attack is an emerging and important attack...

0 Yu Ji, et al. ∙

research

∙ 10/25/2018

Batch Normalization Sampling

Deep Neural Networks (DNNs) thrive in recent years in which Batch Normal...

0 Zhaodong Chen, et al. ∙

research

∙ 10/01/2018

Dynamic Sparse Graph for Efficient Deep Learning

We propose to execute deep neural networks (DNNs) with dynamic and spars...

0 Liu Liu, et al. ∙

research

∙ 07/25/2018

Crossbar-aware neural network pruning

Crossbar architecture based devices have been widely adopted in neural n...

0 Ling Liang, et al. ∙

research

∙ 08/06/2017

CodeSum: Translate Program Language to Natural Language

During software maintenance, programmers spend a lot of time on code com...

0 Xing Hu, et al. ∙