Sinan Wang
Orcid: 0009-0005-9322-2351
According to our database1,
Sinan Wang
authored at least 25 papers
between 2019 and 2024.
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Bibliography
2024
ACM Trans. Graph., July, 2024
CoRR, 2024
Advancing Bug Detection in Fastjson2 with Large Language Models Driven Unit Test Generation.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Theoretical Aspects of Software Engineering, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
IEEE Trans. Software Eng., 2023
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023
What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023
2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Serrin type regularity criterion for the shear thinning fluids via the velocity field.
Appl. Math. Lett., 2021
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 4th International Conference on Information Systems and Computer Aided Education, 2021
2020
Weighted a priori estimates for the swirl component of the vorticity of the axisymmetric Navier-Stokes system.
Appl. Math. Lett., 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation.
Proceedings of the 36th International Conference on Machine Learning, 2019