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Runzhe Wang
ORCID
Publication Activity (10 Years)
Years Active: 2014-2024
Publications (10 Years): 16
Top Topics
Linux Kernel
Delta Bar Delta
Neural Nets
Operating System
Top Venues
CoRR
NeurIPS
ESEC/SIGSOFT FSE
SANER
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Publications
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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)