Runzhe Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Delta Bar Delta

Operating System

Top Venues

ESEC/SIGSOFT FSE

Publications

Rongkai Liu, Heyuan Shi, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Jing Luo, Xiaohai Shi, Chao Hu, Yu Jiang
PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning. SANER (2024)
Jing Luo, Heyuan Shi, Yongchao Zhang, Runzhe Wang, Yuheng Shen, Yuao Chen, Xiaohai Shi, Rongkai Liu, Chao Hu, Yu Jiang
CVECenter: Industry Practice of Automated Vulnerability Management for Linux Distribution Community. SIGSOFT FSE Companion (2024)
Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li
The Marginal Value of Momentum for Small Learning Rate SGD. ICLR (2024)
Yuheng Shen, Shijun Chen, Jianzhong Liu, Yiru Xu, Qiang Zhang, Runzhe Wang, Heyuan Shi, Yu Jiang
Brief Industry Paper: Directed Kernel Fuzz Testing on Real-time Linux. RTSS (2023)
Qinglong Wang, Runzhe Wang, Yuxi Hu, Xiaohai Shi, Zheng Liu, Tao Ma, Houbing Song, Heyuan Shi
KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization. ISSTA (2023)
Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li
The Marginal Value of Momentum for Small Learning Rate SGD. CoRR (2023)
Runzhe Wang, Qinglong Wang, Yuxi Hu, Heyuan Shi, Yuheng Shen, Yu Zhan, Ying Fu, Zheng Liu, Xiaohai Shi, Yu Jiang
Industry practice of configuration auto-tuning for cloud applications and services. ESEC/SIGSOFT FSE (2022)
Kaifeng Lyu, Zhiyuan Li, Runzhe Wang, Sanjeev Arora
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias. NeurIPS (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation. NeurIPS (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. CoRR (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. NeurIPS (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation. CoRR (2021)
Kaifeng Lyu, Zhiyuan Li, Runzhe Wang, Sanjeev Arora
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias. CoRR (2021)
Heyuan Shi, Runzhe Wang, Ying Fu, Yu Jiang, Jian Dong, Kun Tang, Jiaguang Sun
Vulnerable Code Clone Detection for Operating System Through Correlation-Induced Learning. IEEE Trans. Ind. Informatics 15 (12) (2019)
Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang, Jiaguang Sun
Industry practice of coverage-guided enterprise Linux kernel fuzzing. ESEC/SIGSOFT FSE (2019)
Rong Ge, Runzhe Wang, Haoyu Zhao
Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently. CoRR (2019)
Li Lu, Runzhe Wang, Jing Ding, Wubin Mao, Wei Chen, Hongzi Zhu
FastID: An undeceived router for real-time identification of WiFi terminals. Networking (2015)
Jin Xiao, Runzhe Wang, Ge-Er Teng, Yi Hu
A Transfer Learning Based Classifier Ensemble Model for Customer Credit Scoring. CSO (2014)