Yue Yu

Orcid: 0000-0002-9865-2212

Affiliations:
  • National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, China


According to our database1, Yue Yu authored at least 90 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Re-Thinking the Effectiveness of Batch Normalization and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

A Survey on Scheduling Techniques in Computing and Network Convergence.
IEEE Commun. Surv. Tutorials, 2024

2023
Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.
Inf. Sci., August, 2023

Influential Global and Local Contexts Guided Trace Representation for Fault Localization.
ACM Trans. Softw. Eng. Methodol., May, 2023

To Follow or Not to Follow: Understanding Issue/Pull-Request Templates on GitHub.
IEEE Trans. Software Eng., April, 2023

Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study.
IEEE Trans. Software Eng., April, 2023

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search.
ACM Trans. Softw. Eng. Methodol., April, 2023

Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery.
Nat. Mac. Intell., April, 2023

Pull Request Decisions Explained: An Empirical Overview.
IEEE Trans. Software Eng., February, 2023

Plumber: Boosting the Propagation of Vulnerability Fixes in the npm Ecosystem.
IEEE Trans. Software Eng., 2023

When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations.
Proc. VLDB Endow., 2023

At Which Training Stage Does Code Data Help LLMs Reasoning?
CoRR, 2023

Ginver: Generative Model Inversion Attacks Against Collaborative Inference.
Proceedings of the ACM Web Conference 2023, 2023

MulCS: Towards a Unified Deep Representation for Multilingual Code Search.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Can Machine Learning Pipelines Be Better Configured?
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mask Again: Masked Knowledge Distillation for Masked Video Modeling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Two-Stage Framework for Ambiguous Classification in Software Engineering.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Understanding and Detecting On-The-Fly Configuration Bugs.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects.
IEEE Trans. Software Eng., 2022

Are You Still Working on This? An Empirical Study on Pull Request Abandonment.
IEEE Trans. Software Eng., 2022

Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study.
Proc. ACM Hum. Comput. Interact., 2022

Pull request latency explained: an empirical overview.
Empir. Softw. Eng., 2022

FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction.
Empir. Softw. Eng., 2022

The Development and Prospect of Code Clone.
CoRR, 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.
CoRR, 2022

HAF: a hybrid annotation framework based on expert knowledge and learning technique.
Sci. China Inf. Sci., 2022

A Distributed Graph Inference Computation Framework Based on Graph Neural Network Model.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

A Universal Data Augmentation Approach for Fault Localization.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Multi-Intention-Aware Configuration Selection for Performance Tuning.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues.
IEEE Trans. Circuits Syst. Video Technol., 2021

Detecting Duplicate Contributions in Pull-Based Model Combining Textual and Change Similarities.
J. Comput. Sci. Technol., 2021

Dual Channel Among Task and Contribution on OSS Communities: An Empirical Study.
Int. J. Softw. Eng. Knowl. Eng., 2021

How to cherry pick the bug report for better summarization?
Empir. Softw. Eng., 2021

GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network.
CoRR, 2021

Pull Request Decision Explained: An Empirical Overview.
CoRR, 2021

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search.
CoRR, 2021

Why API documentation is insufficient for developers: an empirical study.
Sci. China Inf. Sci., 2021

MulCode: A Multi-task Learning Approach for Source Code Understanding.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Detecting Adversarial Samples with Graph-Guided Testing.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
Automatic Voter Recommendation Method for Closing Questions in Stack Overflow.
Int. J. Softw. Eng. Knowl. Eng., 2020

On the Shoulders of Giants: A New Dataset for Pull-based Development Research.
Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

CP-Detector: Using Configuration-related Performance Properties to Expose Performance Bugs.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

BugSum: Deep Context Understanding for Bug Report Summarization.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

An Empirical Study of Multi-discussing Pattern in Open-Source Software Development.
Proceedings of the Internetware'20: 12th Asia-Pacific Symposium on Internetware, 2020

Software visualization and deep transfer learning for effective software defect prediction.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Sia-RAE: A Siamese Network based on Recursive AutoEncoder for Effective Clone Detection.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories.
Frontiers Inf. Technol. Electron. Eng., 2019

Multi-reviewing pull-requests: An exploratory study on GitHub OSS projects.
Inf. Softw. Technol., 2019

History-Driven Fix for Code Quality Issues.
IEEE Access, 2019

2018
Correlation-based software search by leveraging software term database.
Frontiers Comput. Sci., 2018

An Initial Step Towards Organ Transplantation Based on GitHub Repository.
IEEE Access, 2018

Adaptive software search toward users' customized requirements in GitHub.
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

A dataset of duplicate pull-requests in github.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Within-ecosystem issue linking: a large-scale study of rails.
Proceedings of the 7th International Workshop on Software Mining, 2018

Transferring Well-Trained Models for Cross-Project Issue Classification: A Large-Scale Empirical Study.
Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

Who Will Become a Long-Term Contributor?: A Prediction Model based on the Early Phase Behaviors.
Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

A Hybrid Approach for Tag Hierarchy Construction.
Proceedings of the New Opportunities for Software Reuse - 17th International Conference, 2018

Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Building a Cloud-Ready Program: A highly scalable Implementation based on Kubernetes.
Proceedings of the 2nd International Conference on Advances in Image Processing, 2018

An Insight Into the Impact of Dockerfile Evolutionary Trajectories on Quality and Latency.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Recommending Similar Bug Reports: A Novel Approach Using Document Embedding Model.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
What Are They Talking About? Analyzing Code Reviews in Pull-Based Development Model.
J. Comput. Sci. Technol., 2017

Social media in GitHub: the role of @-mention in assisting software development.
Sci. China Inf. Sci., 2017

Automatic Classification of Review Comments in Pull-based Development Model.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Detecting Duplicate Pull-requests in GitHub.
Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

DevRec: A Developer Recommendation System for Open Source Repositories.
Proceedings of the Mastering Scale and Complexity in Software Reuse, 2017

Where Is the Road for Issue Reports Classification Based on Text Mining?
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

2016
Reviewer recommendation for pull-requests in GitHub: What can we learn from code review and bug assignment?
Inf. Softw. Technol., 2016

Initial and Eventual Software Quality Relating to Continuous Integration in GitHub.
CoRR, 2016

Determinants of pull-based development in the context of continuous integration.
Sci. China Inf. Sci., 2016

2015
OSSEAN: Mining Crowd Wisdom in Open Source Communities.
Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

Quality and productivity outcomes relating to continuous integration in GitHub.
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Wait for It: Determinants of Pull Request Evaluation Latency on GitHub.
Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Evaluating Bug Severity Using Crowd-based Knowledge: An Exploratory Study.
Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015

Exploring the Use of @-mention to Assist Software Development in GitHub.
Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015

2014
Investigating social media in GitHub's pull-requests: a case study on Ruby on Rails.
Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies, 2014

Exploring the patterns of social behavior in GitHub.
Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies, 2014

Reviewer Recommender of Pull-Requests in GitHub.
Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

A Exploratory Study of @-Mention in GitHub's Pull-Requests.
Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014

Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration.
Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014

2013
A Trusted Remote Attestation Model Based on Trusted Computing.
Proceedings of the 12th IEEE International Conference on Trust, 2013

HESA: The Construction and Evaluation of Hierarchical Software Feature Repository.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

Mining and recommending software features across multiple web repositories.
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

2012
Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012


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