Runzhe Wang

Orcid: 0000-0003-1227-8475

According to our database1, Runzhe Wang authored at least 15 papers between 2014 and 2024.

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Bibliography

2024
PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning.
Proceedings of the IEEE International Conference on Software Analysis, 2024

CVECenter: Industry Practice of Automated Vulnerability Management for Linux Distribution Community.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

The Marginal Value of Momentum for Small Learning Rate SGD.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Attributed Triple Extraction by Combination Under Contrastive Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Brief Industry Paper: Directed Kernel Fuzz Testing on Real-time Linux.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022
Industry practice of configuration auto-tuning for cloud applications and services.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Going Beyond Linear RL: Sample Efficient Neural Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Vulnerable Code Clone Detection for Operating System Through Correlation-Induced Learning.
IEEE Trans. Ind. Informatics, 2019

Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently.
CoRR, 2019

Industry practice of coverage-guided enterprise Linux kernel fuzzing.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

2015
FastID: An undeceived router for real-time identification of WiFi terminals.
Proceedings of the 14th IFIP Networking Conference, 2015

2014
A Transfer Learning Based Classifier Ensemble Model for Customer Credit Scoring.
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014


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