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 114 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

How Do Developers Adapt Code Snippets to Their Contexts? An Empirical Study of Context-Based Code Snippet Adaptations.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., November, 2024

BrainMass: Advancing Brain Network Analysis for Diagnosis With Large-Scale Self-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, November, 2024

Intelligence-Endogenous Management Platform for Computing and Network Convergence.

[BibT_eX]

[DOI]

IEEE Netw., July, 2024

Re-Thinking the Effectiveness of Batch Normalization and Beyond.

[BibT_eX]

[DOI]

Hanyang Peng

Yue Yu

Shiqi Yu

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2024

Training and Serving System of Foundation Models: A Comprehensive Survey.

[BibT_eX]

[DOI]

IEEE Open J. Comput. Soc., 2024

Efficient privacy-preserving Gaussian process via secure multi-party computation.

[BibT_eX]

[DOI]

J. Syst. Archit., 2024

Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2024

Online Self-Preferring Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Scheduling Techniques in Computing and Network Convergence.

[BibT_eX]

[DOI]

IEEE Commun. Surv. Tutorials, 2024

GGT: Graph-guided testing for adversarial sample detection of deep neural network.

[BibT_eX]

[DOI]

Comput. Secur., 2024

Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2024

ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2024

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

At Which Training Stage Does Code Data Help LLMs Reasoning?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.

[BibT_eX]

[DOI]

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

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.

[BibT_eX]

[DOI]

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

2023

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.

[BibT_eX]

[DOI]

Inf. Sci., August, 2023

Influential Global and Local Contexts Guided Trace Representation for Fault Localization.

[BibT_eX]

[DOI]

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

To Follow or Not to Follow: Understanding Issue/Pull-Request Templates on GitHub.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., April, 2023

Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., April, 2023

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

[BibT_eX]

[DOI]

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

Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery.

[BibT_eX]

[DOI]

Nat. Mac. Intell., April, 2023

Pull Request Decisions Explained: An Empirical Overview.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., February, 2023

Plumber: Boosting the Propagation of Vulnerability Fixes in the npm Ecosystem.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2023

When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Personalized Federated Learning via Amortized Bayesian Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Stochastic Clustered Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Ginver: Generative Model Inversion Attacks Against Collaborative Inference.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

MulCS: Towards a Unified Deep Representation for Multilingual Code Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2023

Practical privacy-preserving Gaussian process regression via secret sharing.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Can Machine Learning Pipelines Be Better Configured?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mask Again: Masked Knowledge Distillation for Masked Video Modeling.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Two-Stage Framework for Ambiguous Classification in Software Engineering.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Understanding and Detecting On-The-Fly Configuration Bugs.

[BibT_eX]

[DOI]

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

On the Reliability of Coverage Data for Fault Localization.

[BibT_eX]

[DOI]

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2022

Are You Still Working on This? An Empirical Study on Pull Request Abandonment.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2022

Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2022

Pull request latency explained: an empirical overview.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

The Development and Prospect of Code Clone.

[BibT_eX]

[DOI]

CoRR, 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.

[BibT_eX]

[DOI]

CoRR, 2022

HAF: a hybrid annotation framework based on expert knowledge and learning technique.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2022

A Distributed Graph Inference Computation Framework Based on Graph Neural Network Model.

[BibT_eX]

[DOI]

Zeting Pan

Yue Yu

Junsheng Chang

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.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification.

[BibT_eX]

[DOI]

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

A Universal Data Augmentation Approach for Fault Localization.

[BibT_eX]

[DOI]

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

Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding.

[BibT_eX]

[DOI]

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

Multi-Intention-Aware Configuration Selection for Performance Tuning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Detecting Duplicate Contributions in Pull-Based Model Combining Textual and Change Similarities.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2021

Dual Channel Among Task and Contribution on OSS Communities: An Empirical Study.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2021

How to cherry pick the bug report for better summarization?

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2021

Pull Request Decision Explained: An Empirical Overview.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Why API documentation is insufficient for developers: an empirical study.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2021

MulCode: A Multi-task Learning Approach for Source Code Understanding.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Detecting Adversarial Samples with Graph-Guided Testing.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Automatic Voter Recommendation Method for Closing Questions in Stack Overflow.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2020

On the Shoulders of Giants: A New Dataset for Pull-based Development Research.

[BibT_eX]

[DOI]

Xunhui Zhang

Ayushi Rastogi

Yue Yu

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

CP-Detector: Using Configuration-related Performance Properties to Expose Performance Bugs.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

BugSum: Deep Context Understanding for Bug Report Summarization.

[BibT_eX]

[DOI]

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

An Empirical Study of Multi-discussing Pattern in Open-Source Software Development.

[BibT_eX]

[DOI]

Proceedings of the Internetware'20: 12th Asia-Pacific Symposium on Internetware, 2020

Software visualization and deep transfer learning for effective software defect prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019

RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2019

Multi-reviewing pull-requests: An exploratory study on GitHub OSS projects.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2019

History-Driven Fix for Code Quality Issues.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Correlation-based software search by leveraging software term database.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2018

An Initial Step Towards Organ Transplantation Based on GitHub Repository.

[BibT_eX]

[DOI]

Shangwen Wang

Xiaoguang Mao

Yue Yu

IEEE Access, 2018

Adaptive software search toward users' customized requirements in GitHub.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

A dataset of duplicate pull-requests in github.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Within-ecosystem issue linking: a large-scale study of rails.

[BibT_eX]

[DOI]

Proceedings of the 7th International Workshop on Software Mining, 2018

Transferring Well-Trained Models for Cross-Project Issue Classification: A Large-Scale Empirical Study.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

A Hybrid Approach for Tag Hierarchy Construction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Building a Cloud-Ready Program: A highly scalable Implementation based on Kubernetes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Recommending Similar Bug Reports: A Novel Approach Using Document Embedding Model.

[BibT_eX]

[DOI]

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

2017

What Are They Talking About? Analyzing Code Reviews in Pull-Based Development Model.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2017

Social media in GitHub: the role of @-mention in assisting software development.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2017

Automatic Classification of Review Comments in Pull-based Development Model.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Detecting Duplicate Pull-requests in GitHub.

[BibT_eX]

[DOI]

Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

DevRec: A Developer Recommendation System for Open Source Repositories.

[BibT_eX]

[DOI]

Proceedings of the Mastering Scale and Complexity in Software Reuse, 2017

Where Is the Road for Issue Reports Classification Based on Text Mining?

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Determinants of pull-based development in the context of continuous integration.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2016

2015

OSSEAN: Mining Crowd Wisdom in Open Source Communities.

[BibT_eX]

[DOI]

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

Quality and productivity outcomes relating to continuous integration in GitHub.

[BibT_eX]

[DOI]

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Wait for It: Determinants of Pull Request Evaluation Latency on GitHub.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Evaluating Bug Severity Using Crowd-based Knowledge: An Exploratory Study.

[BibT_eX]

[DOI]

Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015

Exploring the Use of @-mention to Assist Software Development in GitHub.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies, 2014

Exploring the patterns of social behavior in GitHub.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies, 2014

Reviewer Recommender of Pull-Requests in GitHub.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014

Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014

2013

A Trusted Remote Attestation Model Based on Trusted Computing.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Trust, 2013

HESA: The Construction and Evaluation of Hierarchical Software Feature Repository.

[BibT_eX]

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

Mining and recommending software features across multiple web repositories.

[BibT_eX]

[DOI]

Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

2012

Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

Yue Yu

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