Runzhe Wang

According to our database, Runzhe Wang authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CVECenter: Industry Practice of Automated Vulnerability Management for Linux Distribution Community.

Jing Luo, Heyuan Shi, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Xiaohai Shi, Rongkai Liu, Chao Hu, Yu Jiang

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

2023

The Marginal Value of Momentum for Small Learning Rate SGD.

Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li

CoRR, 2023

Brief Industry Paper: Directed Kernel Fuzz Testing on Real-time Linux.

Yuheng Shen, Shijun Chen, Jianzhong Liu, Yiru Xu, Qiang Zhang, Runzhe Wang, Heyuan Shi, Yu Jiang

Proceedings of the IEEE Real-Time Systems Symposium, 2023

KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization.

Qinglong Wang, Runzhe Wang, Yuxi Hu, Xiaohai Shi, Zheng Liu, Tao Ma, Houbing Song, Heyuan Shi

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.

Runzhe Wang, Qinglong Wang, Yuxi Hu, Heyuan Shi, Yuheng Shen, Yu Zhan, Ying Fu, Zheng Liu, Xiaohai Shi, Yu Jiang

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.

Kaifeng Lyu, Zhiyuan Li, Runzhe Wang, Sanjeev Arora

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.

Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

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.

Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

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.

Heyuan Shi, Runzhe Wang, Ying Fu, Yu Jiang, Jian Dong, Kun Tang, Jiaguang Sun

IEEE Trans. Ind. Informatics, 2019

Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently.

Rong Ge, Runzhe Wang, Haoyu Zhao

CoRR, 2019

Industry practice of coverage-guided enterprise Linux kernel fuzzing.

Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang, Jiaguang Sun

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.

Li Lu, Runzhe Wang, Jing Ding, Wubin Mao, Wei Chen, Hongzi Zhu

Proceedings of the 14th IFIP Networking Conference, 2015

2014

A Transfer Learning Based Classifier Ensemble Model for Customer Credit Scoring.

Jin Xiao, Runzhe Wang, Ge-Er Teng, Yi Hu

Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014