Cuiyun Gao

Orcid: 0000-0003-4774-2434

According to our database¹, Cuiyun Gao authored at least 138 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

API Recommendation for Novice Programmers: Build a Bridge of Query-Task Knowledge Gap.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., September, 2024

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., June, 2024

RAPID: Zero-Shot Domain Adaptation for Code Search with Pre-Trained Models.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., June, 2024

Prompt enhance API recommendation: visualize the user's real intention behind this query.

[BibT_eX]

[DOI]

Autom. Softw. Eng., June, 2024

Label-Aware Distribution Calibration for Long-Tailed Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Open World Intrusion Detection: An Open Set Recognition Method for CAN Bus in Intelligent Connected Vehicles.

[BibT_eX]

[DOI]

IEEE Netw., May, 2024

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., March, 2024

TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., January, 2024

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2024

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How.

[BibT_eX]

[DOI]

CoRR, 2024

Context-Dependent Interactable Graphical User Interface Element Detection for Spatial Computing Applications.

[BibT_eX]

[DOI]

CoRR, 2024

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code.

[BibT_eX]

[DOI]

CoRR, 2024

Search-Based LLMs for Code Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Iterative Knowledge Distillation through Feedback-Driven Learning Cycles.

[BibT_eX]

[DOI]

CoRR, 2024

RepoMasterEval: Evaluating Code Completion via Real-World Repositories.

[BibT_eX]

[DOI]

CoRR, 2024

Uncovering Weaknesses in Neural Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

TCSR-SQL: Towards Table Content-aware Text-to-SQL with Self-retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Modern Code Review: Progresses, Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2024

Developers' Perceptions on the Impact of ChatGPT in Software Development: A Survey.

[BibT_eX]

[DOI]

Thiago S. Vaillant

Felipe Deveza de Almeida

Paulo Anselmo da Mota Silveira Neto

Cuiyun Gao

Jan Bosch

Eduardo Santana de Almeida

CoRR, 2024

NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Multi-Lingual Bias of Large Code Models in Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Efficiency in Sparse Models with Sparser Selection.

[BibT_eX]

[DOI]

CoRR, 2024

A Repository-Level Dataset For Detecting, Classifying and Repairing Software Vulnerabilities.

[BibT_eX]

[DOI]

CoRR, 2024

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning.

[BibT_eX]

[DOI]

CoRR, 2024

The Vulnerability Is in the Details: Locating Fine-grained Information of Vulnerable Code Identified by Graph-based Detectors.

[BibT_eX]

[DOI]

CoRR, 2024

APIGen: Generative API Method Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2024

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

ReposVul: A Repository-Level High-Quality Vulnerability Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Code Search is All You Need? Improving Code Suggestions with Code Search.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Split and Merge: Aligning Position Biases in LLM-based Evaluators.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Survey on Natural Language Processing for Programming.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Enhancing Text-to-SQL Parsing through Question Rewriting and Execution-Guided Refinement.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Message from the ES-GBA 2024 Chairs: Organizing Committee.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., December, 2023

Prompt Tuning in Code Intelligence: An Experimental Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., November, 2023

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.

[BibT_eX]

[DOI]

Dataset, November, 2023

Dialog summarization for software collaborative platform via tuning pre-trained models.

[BibT_eX]

[DOI]

J. Syst. Softw., October, 2023

Persistent graph stream summarization for real-time graph analytics.

[BibT_eX]

[DOI]

World Wide Web (WWW), September, 2023

Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., September, 2023

A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., September, 2023

Health warning based on 3R ECG Sample's combined features and LSTM.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, August, 2023

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., April, 2023

HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems.

[BibT_eX]

[DOI]

Jiezhu Cheng

Cuiyun Gao

Zibin Zheng

ACM Trans. Softw. Eng. Methodol., April, 2023

Learning to Generate Tips from Song Reviews.

[BibT_eX]

[DOI]

Neural Networks, April, 2023

Code Structure-Guided Transformer for Source Code Summarization.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., January, 2023

API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2023

A transformer-based approach for improving app review response generation.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2023

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2023

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives.

[BibT_eX]

[DOI]

CoRR, 2023

BadCS: A Backdoor Attack Framework for Code search.

[BibT_eX]

[DOI]

CoRR, 2023

Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2023

On the Feasibility of Specialized Ability Extracting for Large Language Code Models.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Learning Based Code Generation Methods: A Literature Review.

[BibT_eX]

[DOI]

CoRR, 2023

Practitioners' Expectations on Code Completion.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Framework for Mini-game Testing: Experience on WeChat.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

How Practitioners Expect Code Completion?

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generative Type Inference for Python.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

MocGCL: Molecular Graph Contrastive Learning via Negative Selection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CCTEST: Testing and Repairing Code Completion Systems.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

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

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Software Vulnerability Detection with GPT and In-Context Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023

Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

A Deep Dive into the Impact of COVID-19 on Software Development.

[BibT_eX]

[DOI]

Paulo Anselmo da Mota Silveira Neto

Umme Ayda Mannan

Eduardo Santana de Almeida

Nachiappan Nagappan

David Lo

Pavneet Singh Kochhar

Cuiyun Gao

Iftekhar Ahmed

IEEE Trans. Software Eng., 2022

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2022

Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2022

On the Reproducibility and Replicability of Deep Learning in Software Engineering.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2022

Automating App Review Response Generation Based on Contextual Knowledge.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2022

Enriching query semantics for code search with reinforcement learning.

[BibT_eX]

[DOI]

Neural Networks, 2022

Emerging topic identification from app reviews via adaptive online biterm topic modeling.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2022

Understanding in-app advertising issues based on large scale app review analysis.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2022

Opportunities and Challenges in Code Search Tools.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2022

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection.

[BibT_eX]

[DOI]

CoRR, 2022

MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion.

[BibT_eX]

[DOI]

CoRR, 2022

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews.

[BibT_eX]

[DOI]

CoRR, 2022

Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.

[BibT_eX]

[DOI]

CoRR, 2022

Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

CCTEST: Testing and Repairing Code Completion Systems.

[BibT_eX]

[DOI]

CoRR, 2022

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing.

[BibT_eX]

[DOI]

CoRR, 2022

A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2022

Generating Tips from Song Reviews: A New Dataset and Framework.

[BibT_eX]

[DOI]

CoRR, 2022

Source Code Summarization with Structural Relative Position Guided Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2022

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Parameter Description Generation with the Code Parameter Flow.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.

[BibT_eX]

[DOI]

Dataset, December, 2021

Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2021

CRaDLe: Deep code retrieval based on semantic Dependency Learning.

[BibT_eX]

[DOI]

Neural Networks, 2021

Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2021

CoreGen: Contextualized Code Representation Learning for Commit Message Generation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Graph Partner Neural Networks for Semi-Supervised Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Enriching Query Semantics for Code Search with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Code Structure Guided Transformer for Source Code Summarization.

[BibT_eX]

[DOI]

CoRR, 2021

TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release.

[BibT_eX]

[DOI]

Proceedings of the Companion of The Web Conference 2021, 2021

Peeking into the Gray Area of Mobile World: An Empirical Study of Unlabeled Android Apps.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

A Deep Dive on the Impact of COVID-19 in Software Development.

[BibT_eX]

[DOI]

Paulo Anselmo da Mota Silveira Neto

Umme Ayda Mannan

Eduardo Santana de Almeida

Nachiappan Nagappan

David Lo

Pavneet Singh Kochhar

Cuiyun Gao

Iftekhar Ahmed

CoRR, 2020

Contextualized Code Representation Learning for Commit Message Generation.

[BibT_eX]

[DOI]

CoRR, 2020

On the Replicability and Reproducibility of Deep Learning in Software Engineering.

[BibT_eX]

[DOI]

CoRR, 2020

Why an Android App is Classified as Malware? Towards Malware Classification Interpretation.

[BibT_eX]

[DOI]

CoRR, 2020

What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

CORE: Automating Review Recommendation for Code Changes.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

2019

What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2019

AC-Net: Assessing the Consistency of Description and Permission in Android Apps.

[BibT_eX]

[DOI]

IEEE Access, 2019

Automating App Review Response Generation.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

An Empirical Study of Common Challenges in Developing Deep Learning Applications.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Emerging app issue identification from user feedback: experience on WeChat.

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

An Online Topic Modeling Framework with Topics Automatically Labeled.

[BibT_eX]

[DOI]

Fenglei Jin

Cuiyun Gao

Michael R. Lyu

Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018

INFAR: insight extraction from app reviews.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Exploring the effects of ad schemes on the performance cost of mobile phones.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Advances in Mobile App Analysis, 2018

Online app review analysis for identifying emerging issues.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering, 2018

Topic Memory Networks for Short Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Detecting Duplicate Bug Reports with Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017

IntelliAd: assisting mobile app developers in measuring ad costs automatically.

[BibT_eX]

[DOI]

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

IntelliAd Understanding In-APP Ad Costs From Users Perspective.

[BibT_eX]

[DOI]

CoRR, 2016

Experience Report: Understanding Cross-Platform App Issues from User Reviews.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

2015

AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

SpyAware: Investigating the privacy leakage signatures in app execution traces.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

PAID: Prioritizing app issues for developers by tracking user reviews over versions.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

2011

Exact Solutions for the Complex Ginzburg-Landau Equation.

[BibT_eX]

Proceedings of the ICEIS 2011, 2011

Cuiyun Gao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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