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Bo Li
461 publications
Qi Zhang
242 publications
Li Zhang
240 publications
Jie Xu
169 publications
Chang Xu
158 publications
Jiawei Zhang
144 publications
Lu Zhang
137 publications
Ce Zhang
133 publications
Xiangnan He
124 publications
Wei Yang
121 publications
Ke Wang
107 publications

∙ 08/23/2023

OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes

In this work, we seek to predict camera poses across scenes with a multi...

0 Tao Xie, et al. ∙

∙ 08/09/2023

VulLibGen: Identifying Vulnerable Third-Party Libraries via Generative Pre-Trained Model

To avoid potential risks posed by vulnerabilities in third-party librari...

0 Tianyu Chen, et al. ∙

∙ 07/31/2023

Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking

3D Multi-object tracking (MOT) empowers mobile robots to accomplish well...

0 Xiaoyu Li, et al. ∙

∙ 07/17/2023

Identifying Vulnerable Third-Party Libraries from Textual Descriptions of Vulnerabilities and Libraries

To address security vulnerabilities arising from third-party libraries, ...

0 Tianyu Chen, et al. ∙

∙ 02/13/2023

Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects

With the widespread deployment of deep neural networks (DNNs), ensuring ...

13 Linyi Li, et al. ∙

∙ 02/02/2023

Effective Random Test Generation for Deep Learning Compilers

Deep learning compilers help address difficulties of deploying deep lear...

0 Luyao Ren, et al. ∙

∙ 02/01/2023

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

Code generation models based on the pre-training and fine-tuning paradig...

0 Hao Yu, et al. ∙

∙ 01/10/2023

Practitioners' Expectations on Code Completion

Code completion has become a common practice for programmers during thei...

0 Chaozheng Wang, et al. ∙

∙ 01/08/2023

DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching

Local feature matching between images remains a challenging task, especi...

0 Tao Xie, et al. ∙

∙ 06/17/2022

GDsmith: Detecting Bugs in Graph Database Engines

Graph database engines stand out in the era of big data for their effici...

0 Wei Lin, et al. ∙

∙ 06/16/2022

Double Sampling Randomized Smoothing

Neural networks (NNs) are known to be vulnerable against adversarial per...

6 Linyi Li, et al. ∙

∙ 08/01/2021

Groot: An Event-graph-based Approach for Root Cause Analysis in Industrial Settings

For large-scale distributed systems, it's crucial to efficiently diagnos...

0 Hanzhang Wang, et al. ∙

∙ 06/14/2021

No Free Lunch: Microservice Practices Reconsidered in Industry

Microservice architecture advocates a number of technologies and practic...

0 Qilin Xiang, et al. ∙

∙ 02/12/2021

Speculating Ineffective UI Exploration via Trace Analysis

With the prosperity of mobile apps, quality assurance of mobile apps bec...

0 Wenyu Wang, et al. ∙

∙ 09/09/2020

SoK: Certified Robustness for Deep Neural Networks

Great advancement in deep neural networks (DNNs) has led to state-of-the...

13 Linyi Li, et al. ∙

∙ 09/08/2020

Adversarial Attack on Large Scale Graph

Recent studies have shown that graph neural networks are vulnerable agai...

9 Jintang Li, et al. ∙

∙ 05/02/2020

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study

Deep learning (DL) becomes increasingly pervasive, being used in a wide ...

0 Zhenpeng Chen, et al. ∙

∙ 03/10/2020

A Survey of Adversarial Learning on Graphs

Deep learning models on graphs have achieved remarkable performance in v...

0 Liang Chen, et al. ∙

∙ 02/27/2020

Provable Robust Learning Based on Transformation-Specific Smoothing

As machine learning systems become pervasive, safeguarding their securit...

6 Linyi Li, et al. ∙

∙ 08/31/2018

MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks

Despite being popularly used in many application domains such as image r...

0 Siwakorn Srisakaokul, et al. ∙

∙ 07/06/2018

Testing Untestable Neural Machine Translation: An Industrial Case

Neural Machine Translation (NMT) has been widely adopted recently due to...

0 Wujie Zheng, et al. ∙

∙ 07/06/2018

Oracle-free Detection of Translation Issue for Neural Machine Translation

Neural Machine Translation (NMT) has been widely adopted over recent yea...

0 Wujie Zheng, et al. ∙

∙ 07/06/2018

CoMID: Context-based Multi-Invariant Detection for Monitoring Cyber-Physical Software

Cyber-physical software continually interacts with its physical environm...

0 Yi Qin, et al. ∙

∙ 11/27/2013

Want a Good Answer? Ask a Good Question First!

Community Question Answering (CQA) websites have become valuable reposit...

0 Yuan Yao, et al. ∙

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