Yueling Zhang

Orcid: 0000-0002-5290-5691

According to our database1, Yueling Zhang authored at least 26 papers between 2011 and 2024.

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Bibliography

2024
Experimenting a New Programming Practice with LLMs.
CoRR, 2024

A Lightweight Model Solution for Aluminum Material Defect Detection at the Edge.
Proceedings of the 14th IEEE International Symposium on Industrial Embedded Systems, 2024

Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-Off in Machine Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework.
CoRR, 2023

OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2023

Boosting Verified Training for Robust Image Classifications via Abstraction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Programmable Logic Controllers Past Linear Temporal Logic for Monitoring Applications in Industrial Control Systems.
IEEE Trans. Ind. Informatics, 2022

A refinement development approach for enhancing the safety of PLC programs with Event-B.
Sci. Comput. Program., 2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications.
CoRR, 2022

Knowledge Graph of Artificial Intelligence in Medicine: A Scientometric Analysis.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

2021
Efficient white-box fairness testing through gradient search.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

Generating Adversarial Examples by Distributed Upsampling.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Approximated Masked Global Context Network for Skin Lesion Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Optimizing backbone filtering.
Sci. Comput. Program., 2020

SAT-based explicit LTLf satisfiability checking.
Artif. Intell., 2020

Accelerating All-SAT Computation with Short Blocking Clauses.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

EdgeAugment: Data Augmentation by Fusing and Filling Edge Maps.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Generating adversarial examples for DNN using pooling layers.
J. Intell. Fuzzy Syst., 2019

SMTBCF: Efficient Backbone Computing for SMT Formulas.
Proceedings of the Formal Methods and Software Engineering, 2019

2018
Towards backbone computing: A Greedy-Whitening based approach.
AI Commun., 2018

Syntax-Guided Termination Analysis.
Proceedings of the Computer Aided Verification - 30th International Conference, 2018

2017
Optimizing backbone filtering.
Proceedings of the 11th International Symposium on Theoretical Aspects of Software Engineering, 2017

Safety model checking with complementary approximations.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

2016
Approximate Reachability.
CoRR, 2016

2011
Cloning, expression and characterization of a thermostable pullulanase from newly isolated thermophilic Geobacillus sp. LM14-3.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011


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