b'Hongyu Zhang'

research

∙ 09/19/2023

Revisiting and Improving Retrieval-Augmented Deep Assertion Generation

Unit testing validates the correctness of the unit under test and has be...

0 Weifeng Sun, et al. ∙

research

∙ 09/18/2023

LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data

Log data is a crucial resource for recording system events and states du...

0 Xiaoyun Li, et al. ∙

research

∙ 09/15/2023

FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning

Cross-domain Sequential Recommendation (CSR) which leverages user sequen...

0 Hongyu Zhang, et al. ∙

research

∙ 09/07/2023

DGSD: Dynamical Graph Self-Distillation for EEG-Based Auditory Spatial Attention Detection

Auditory Attention Detection (AAD) aims to detect target speaker from br...

0 Cunhang Fan, et al. ∙

research

∙ 08/25/2023

SoTaNa: The Open-Source Software Development Assistant

Software development plays a crucial role in driving innovation and effi...

0 Ensheng Shi, et al. ∙

research

∙ 08/24/2023

Try with Simpler – An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection

The rapid growth of deep learning (DL) has spurred interest in enhancing...

0 Lin Yang, et al. ∙

research

∙ 06/12/2023

Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation

Gaussian process (GP) based Bayesian optimization (BO) is a powerful met...

0 Huong Ha, et al. ∙

research

∙ 06/02/2023

An Evaluation of Log Parsing with ChatGPT

Software logs play an essential role in ensuring the reliability and mai...

0 Van-Hoang Le, et al. ∙

research

∙ 05/15/2023

Improving ChatGPT Prompt for Code Generation

Automated code generation can be a powerful technique for software devel...

0 Chao Liu, et al. ∙

research

∙ 04/11/2023

Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond

Recently, fine-tuning pre-trained code models such as CodeBERT on downst...

0 Ensheng Shi, et al. ∙

research

∙ 03/13/2023

xASTNN: Improved Code Representations for Industrial Practice

The application of deep learning techniques in software engineering beco...

0 Zhiwei Xu, et al. ∙

research

∙ 02/19/2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

In cloud systems, incidents are potential threats to customer satisfacti...

0 Jinyang Liu, et al. ∙

research

∙ 02/15/2023

Log Parsing with Prompt-based Few-shot Learning

Logs generated by large-scale software systems provide crucial informati...

0 Van-Hoang Le, et al. ∙

research

∙ 02/09/2023

Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning

Prior studies have demonstrated the effectiveness of Deep Learning (DL) ...

0 Xin-Cheng Wen, et al. ∙

research

∙ 02/07/2023

Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models

Previous research on code intelligence usually trains a deep learning mo...

0 Shuzheng Gao, et al. ∙

research

∙ 12/27/2022

Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks

Configurable software systems are employed in many important application...

0 Huong Ha, et al. ∙

research

∙ 12/21/2022

Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base

A critical step in sharing semantic content online is to map the structu...

0 Jiakang Xu, et al. ∙

research

∙ 10/21/2022

Exploring Representation-Level Augmentation for Code Search

Code search, which aims at retrieving the most relevant code fragment fo...

0 Haochen Li, et al. ∙

research

∙ 09/17/2022

Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances

Fairness testing aims at mitigating unintended discrimination in the dec...

0 Minghua Ma, et al. ∙

research

∙ 09/16/2022

LogGD:Detecting Anomalies from System Logs by Graph Neural Networks

Log analysis is one of the main techniques engineers use to troubleshoot...

0 Yongzheng Xie, et al. ∙

research

∙ 07/24/2022

No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence

Pre-trained models have been shown effective in many code intelligence t...

0 Chaozheng Wang, et al. ∙

research

∙ 06/29/2022

Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code

Pre-trained code representation models such as CodeBERT have demonstrate...

0 Zhaowei Zhang, et al. ∙

research

∙ 04/21/2022

LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries

Third-party libraries (TPLs) are reused frequently in software applicati...

0 Wei Tang, et al. ∙

research

∙ 04/20/2022

Where is Your App Frustrating Users?

User reviews of mobile apps provide a communication channel for develope...

0 Yawen Wang, et al. ∙

research

∙ 04/07/2022

Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation

Code search aims to retrieve the most semantically relevant code snippet...

0 Ensheng Shi, et al. ∙

research

∙ 03/29/2022

Accelerating Code Search with Deep Hashing and Code Classification

Code search is to search reusable code snippets from source code corpus ...

0 Wenchao Gu, et al. ∙

research

∙ 03/27/2022

HELoC: Hierarchical Contrastive Learning of Source Code Representation

Abstract syntax trees (ASTs) play a crucial role in source code represen...

0 Xiao Wang, et al. ∙

research

∙ 03/05/2022

ECMG: Exemplar-based Commit Message Generation

Commit messages concisely describe the content of code diffs (i.e., code...

0 Ensheng Shia, et al. ∙

research

∙ 02/14/2022

What Do They Capture? – A Structural Analysis of Pre-Trained Language Models for Source Code

Recently, many pre-trained language models for source code have been pro...

0 Yao Wan, et al. ∙

research

∙ 02/14/2022

UniParser: A Unified Log Parser for Heterogeneous Log Data

Logs provide first-hand information for engineers to diagnose failures i...

0 Yudong Liu, et al. ∙

research

∙ 02/09/2022

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Software-intensive systems produce logs for troubleshooting purposes. Re...

0 Van-Hoang Le, et al. ∙

research

∙ 01/19/2022

Cross-Language Binary-Source Code Matching with Intermediate Representations

Binary-source code matching plays an important role in many security and...

0 Yi Gui, et al. ∙

research

∙ 01/09/2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching

To ensure the performance of online service systems, their status is clo...

0 Zhuangbin Chen, et al. ∙

research

∙ 01/01/2022

Cross-Domain Deep Code Search with Few-Shot Meta Learning

Recently, pre-trained programming language models such as CodeBERT have ...

0 Yitian Chai, et al. ∙

research

∙ 11/21/2021

Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations

Software clone detection identifies similar code snippets. It has been a...

0 Weiwei Zhang, et al. ∙

research

∙ 10/05/2021

LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection

Log analysis is an important technique that engineers use for troublesho...

0 Yongzheng Xie, et al. ∙

research

∙ 08/30/2021

CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees

Code summarization aims to generate concise natural language description...

0 Ensheng Shi, et al. ∙

research

∙ 08/27/2021

Graph-based Incident Aggregation for Large-Scale Online Service Systems

As online service systems continue to grow in terms of complexity and vo...

0 Zhuangbin Chen, et al. ∙

research

∙ 08/04/2021

Log-based Anomaly Detection Without Log Parsing

Software systems often record important runtime information in system lo...

0 Van-Hoang Le, et al. ∙

research

∙ 07/15/2021

Neural Code Summarization: How Far Are We?

Source code summaries are important for the comprehension and maintenanc...

14 Ensheng Shi, et al. ∙

research

∙ 07/12/2021

On the Evaluation of Commit Message Generation Models: An Experimental Study

Commit messages are natural language descriptions of code changes, which...

0 Wei Tao, et al. ∙

research

∙ 07/05/2021

CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network

Source code summaries are short natural language descriptions of code sn...

0 Yanlin Wang, et al. ∙

research

∙ 03/29/2021

Embedding API Dependency Graph for Neural Code Generation

The problem of code generation from textual program descriptions has lon...

0 Chen Lyu, et al. ∙

research

∙ 02/14/2021

FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization

Federated multi-task learning (FMTL) has emerged as a natural choice to ...

0 Canh T. Dinh, et al. ∙

research

∙ 12/19/2020

Confused Modulo Projection based Somewhat Homomorphic Encryption – Cryptosystem, Library and Applications on Secure Smart Cities

With the development of cloud computing, the storage and processing of m...

12 Xin Jin, et al. ∙

research

∙ 12/02/2020

CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning

Code retrieval is a common practice for programmers to reuse existing co...

0 Wenchao Gu, et al. ∙

research

∙ 07/31/2020

Language Modelling for Source Code with Transformer-XL

It has been found that software, like natural language texts, exhibits "...

0 Thomas Dowdell, et al. ∙

research

∙ 12/27/2019

IS Attention All What You Need? – An Empirical Investigation on Convolution-Based Active Memory and Self-Attention

The key to a Transformer model is the self-attention mechanism, which al...

0 Thomas Dowdell, et al. ∙

research

∙ 04/25/2017

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning

Computer programs written in one language are often required to be porte...

0 Xiaodong Gu, et al. ∙

research

∙ 03/15/2017

Neural Programming by Example

Programming by Example (PBE) targets at automatically inferring a comput...

0 Chengxun Shu, et al. ∙

Hongyu Zhang

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