b'Xin Xia'

research

∙ 08/26/2023

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization

Existing studies show that code summaries help developers understand and...

0 Jia Li, et al. ∙

research

∙ 08/24/2023

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation

On-device recommender systems recently have garnered increasing attentio...

0 Xin Xia, et al. ∙

research

∙ 08/22/2023

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation

Though many deep learning (DL)-based vulnerability detection approaches ...

0 Chao Ni, et al. ∙

research

∙ 08/19/2023

Software Architecture in Practice: Challenges and Opportunities

Software architecture has been an active research field for nearly four ...

0 Zhiyuan Wan, et al. ∙

research

∙ 08/17/2023

Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages

Developers write logging statements to generate logs that provide run-ti...

0 Zhenhao Li, et al. ∙

research

∙ 05/26/2023

Towards More Realistic Evaluation for Neural Test Oracle Generation

Effective unit tests can help guard and improve software quality but req...

0 Zhongxin Liu, et al. ∙

research

∙ 05/23/2023

Multi-Granularity Detector for Vulnerability Fixes

With the increasing reliance on Open Source Software, users are exposed ...

0 Truong Giang Nguyen, et al. ∙

research

∙ 05/23/2023

Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models

This paper presents a controllable text-to-video (T2V) diffusion model, ...

0 Weifeng Chen, et al. ∙

research

∙ 05/18/2023

CCT5: A Code-Change-Oriented Pre-Trained Model

Software is constantly changing, requiring developers to perform several...

0 Bo Lin, et al. ∙

research

∙ 04/27/2023

SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics

Programming screencasts (e.g., video tutorials on Youtube or live coding...

0 Dehai Zhao, et al. ∙

research

∙ 03/14/2023

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Modern perception systems of autonomous vehicles are known to be sensiti...

0 Runsheng Xu, et al. ∙

research

∙ 03/10/2023

A Systematic Survey of Control Techniques and Applications: From Autonomous Vehicles to Connected and Automated Vehicles

Vehicle control is one of the most critical challenges in autonomous veh...

0 Wei Liu, et al. ∙

research

∙ 02/08/2023

CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back

Representing code changes as numeric feature vectors, i.e., code change ...

0 Zhongxin Liu, et al. ∙

research

∙ 01/30/2023

Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence

The usage of Python idioms is popular among Python developers in a forma...

0 Zejun Zhang, et al. ∙

research

∙ 01/18/2023

The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research

Advances in Single-vehicle intelligence of automated driving have encoun...

0 Runsheng Xu, et al. ∙

research

∙ 12/17/2022

Molecule optimization via multi-objective evolutionary in implicit chemical space

Machine learning methods have been used to accelerate the molecule optim...

0 Xin Xia, et al. ∙

research

∙ 11/24/2022

Automated Driving Systems Data Acquisition and Processing Platform

This paper presents an automated driving system (ADS) data acquisition a...

0 Xin Xia, et al. ∙

research

∙ 11/05/2022

Multi-Objective Evolutionary for Object Detection Mobile Architectures Search

Recently, Neural architecture search has achieved great success on class...

0 Haichao Zhang, 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

∙ 10/28/2022

Technical Q A Site Answer Recommendation via Question Boosting

Software developers have heavily used online question and answer platfor...

0 Zhipeng Gao, et al. ∙

research

∙ 10/28/2022

I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts

Stack Overflow has been heavily used by software developers to seek prog...

0 Zhipeng Gao, et al. ∙

research

∙ 09/27/2022

V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception

Recent advancements in Vehicle-to-Everything communication technology ha...

0 Hao Xiang, et al. ∙

research

∙ 09/27/2022

Efficient On-Device Session-Based Recommendation

On-device session-based recommendation systems have been achieving incre...

0 Xin Xia, et al. ∙

research

∙ 09/06/2022

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

Contrastive learning (CL) has recently been demonstrated critical in imp...

0 Junliang Yu, et al. ∙

research

∙ 08/08/2022

Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness

In this work, we propose a novel perspective to the problem of patch cor...

0 Haoye Tian, et al. ∙

research

∙ 08/03/2022

API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning

Developers often need to decide which APIs to use for the functions bein...

0 Yujia Chen, et al. ∙

research

∙ 07/12/2022

Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms

Compared to other programming languages (e.g., Java), Python has more id...

0 Zejun Zhang, et al. ∙

research

∙ 07/12/2022

Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

Code summarization, the task of generating useful comments given the cod...

0 Lin Shi, et al. ∙

research

∙ 06/26/2022

1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application

Software programming requires both API reference (know-what) knowledge a...

0 Qing Huang, et al. ∙

research

∙ 05/25/2022

MoCoViT: Mobile Convolutional Vision Transformer

Recently, Transformer networks have achieved impressive results on a var...

0 Hailong Ma, et al. ∙

research

∙ 04/23/2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation

Modern recommender systems operate in a fully server-based fashion. To c...

0 Xin Xia, et al. ∙

research

∙ 04/11/2022

Defect Identification, Categorization, and Repair: Better Together

Just-In-Time defect prediction (JIT-DP) models can identify defect-induc...

0 Chao Ni, et al. ∙

research

∙ 03/29/2022

Self-Supervised Learning for Recommender Systems: A Survey

Neural architecture-based recommender systems have achieved tremendous s...

0 Junliang Yu, et al. ∙

research

∙ 03/29/2022

SepViT: Separable Vision Transformer

Vision Transformers have witnessed prevailing success in a series of vis...

0 Wei Li, et al. ∙

research

∙ 02/08/2022

Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust

Programming language documentation refers to the set of technical docume...

0 Filipe R. Cogo, et al. ∙

research

∙ 01/12/2022

Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks

In high-level Autonomous Driving (AD) systems, behavioral planning is in...

0 Ziwen Wan, et al. ∙

research

∙ 12/16/2021

Graph Augmentation-Free Contrastive Learning for Recommendation

Contrastive learning (CL) recently has received considerable attention i...

0 Junliang Yu, et al. ∙

research

∙ 10/02/2021

How Secondary School Girls Perceive Computational Thinking Practices through Collaborative Programming with the Micro:bit

Computational Thinking (CT) has been investigated from different perspec...

0 Mojtaba Shahin, et al. ∙

research

∙ 09/16/2021

OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

Employing Vehicle-to-Vehicle communication to enhance perception perform...

0 Runsheng Xu, et al. ∙

research

∙ 08/24/2021

Self-Supervised Graph Co-Training for Session-based Recommendation

Session-based recommendation targets next-item prediction by exploiting ...

0 Xin Xia, et al. ∙

research

∙ 08/12/2021

Automating the Removal of Obsolete TODO Comments

TODO comments are very widely used by software developers to describe th...

0 Zhipeng Gao, et al. ∙

research

∙ 07/13/2021

OpenCDA:An Open Cooperative Driving Automation Framework Integrated with Co-Simulation

Although Cooperative Driving Automation (CDA) has attracted considerable...

0 Runsheng Xu, et al. ∙

research

∙ 07/09/2021

GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network

Deep Neural Networks (DNN) are known to be vulnerable to adversarial sam...

8 Zuohui Chen, et al. ∙

research

∙ 06/07/2021

Socially-Aware Self-Supervised Tri-Training for Recommendation

Self-supervised learning (SSL), which can automatically generate ground-...

0 Junliang Yu, et al. ∙

research

∙ 05/17/2021

Mining Architecture Tactics and Quality Attributes Knowledge in Stack Overflow

Context: Architecture Tactics (ATs) are architectural building blocks th...

0 Tingting Bi, et al. ∙

research

∙ 05/17/2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

Camera scene detection is among the most popular computer vision problem...

7 Andrey Ignatov, et al. ∙

research

∙ 04/19/2021

Code Structure Guided Transformer for Source Code Summarization

Source code summarization aims at generating concise descriptions of giv...

0 Shuzheng Gao, et al. ∙

research

∙ 04/08/2021

An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow

On Stack Overflow, users reuse 11,926,354 external links to share the re...

0 Jiakun Liu, et al. ∙

research

∙ 04/02/2021

Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network

Plot-based Graphic API recommendation (Plot2API) is an unstudied but mea...

0 Zeyu Wang, et al. ∙

research

∙ 04/01/2021

Modular Tree Network for Source Code Representation Learning

Learning representation for source code is a foundation of many program ...

0 Wenhan Wang, et al. ∙

Xin Xia

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