148 citations · 827 across the 63 of their papers we have counts for
17 papers · 1 filter
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion
Zi Gong, Yinpeng Guo, Pingyi Zhou +3
Code completion is a valuable topic in both academia and industry. Recently, large-scale mono-programming-lingual (MonoPL) pre-training models have been proposed to boost the perfo…
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection
Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye +4
In recent years, deep learning (DL)-based methods have been widely used in code vulnerability detection. The DL-based methods typically extract structural information from source c…
A Survey on Natural Language Processing for Programming
Qingfu Zhu, Xianzhen Luo, Fang Liu +2
Natural language processing for programming aims to use NLP techniques to assist programming. It is increasingly prevalent for its effectiveness in improving productivity. Distinct…
Syntax-Guided Domain Adaptation for Aspect-based Sentiment Analysis
Anguo Dong, Cuiyun Gao, Yan Jia +4
Aspect-based sentiment analysis (ABSA) aims at extracting opinionated aspect terms in review texts and determining their sentiment polarities, which is widely studied in both acade…
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews
Cuiyun Gao, Yaoxian Li, Shuhan Qi +4
App reviews are crowdsourcing knowledge of user experience with the apps, providing valuable information for app release planning, such as major bugs to fix and important features…
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
Yuanhang Yang, Shiyi Qi, Chuanyi Liu +3
Transformer-based models have achieved great success on sentence pair modeling tasks, such as answer selection and natural language inference (NLI). These models generally perform…
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation
Xinni Zhang, Yankai Chen, Cuiyun Gao +3
Incorporating knowledge graphs (KGs) as side information in recommendation has recently attracted considerable attention. Despite the success in general recommendation scenarios, p…
A Transformer-Based Approach for Improving App Review Response Generation
Weizhe Zhang, Wenchao Gu, Cuiyun Gao +1
Mobile apps are becoming an integral part of people's daily life by providing various functionalities, such as messaging and gaming. App developers try their best to ensure user ex…
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning
Yujia Chen, Xiaoxue Ren, Cuiyun Gao +3
Developers often need to decide which APIs to use for the functions being implemented. With the ever-growing number of APIs and libraries, it becomes increasingly difficult for dev…
CCTEST: Testing and Repairing Code Completion Systems
Zongjie Li, Chaozheng Wang, Zhibo Liu +4
Code completion, a highly valuable topic in the software development domain, has been increasingly promoted for use by recent advances in large language models (LLMs). To date, vis…
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao +3
Pre-trained models have been shown effective in many code intelligence tasks. These models are pre-trained on large-scale unlabeled corpus and then fine-tuned in downstream tasks.…
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension
Shuzheng Gao, Cuiyun Gao, Chaozheng Wang +3
Previous studies have demonstrated that neural code comprehension models are vulnerable to identifier naming. By renaming as few as one identifier in the source code, the models wo…
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities
Yaoxian Li, Shiyi Qi, Cuiyun Gao +4
Transformer-based models have demonstrated state-of-the-art performance in many intelligent coding tasks such as code comment generation and code completion. Previous studies show…
Generating Tips from Song Reviews: A New Dataset and Framework
Jingya Zang, Cuiyun Gao, Yupan Chen +3
Reviews of songs play an important role in online music service platforms. Prior research shows that users can make quicker and more informed decisions when presented with meaningf…
Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit
Shiyi Qi, Yaoxian Li, Cuiyun Gao +4
Adapting Deep Learning (DL) techniques to automate non-trivial coding activities, such as code documentation and defect detection, has been intensively studied recently. Learning t…
HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems
Jiezhu Cheng, Cuiyun Gao, Zibin Zheng
Modern software systems are usually highly configurable, providing users with customized functionality through various configuration options. Understanding how system performance v…
Source Code Summarization with Structural Relative Position Guided Transformer
Zi Gong, Cuiyun Gao, Yasheng Wang +3
Source code summarization aims at generating concise and clear natural language descriptions for programming languages. Well-written code summaries are beneficial for programmers t…