A Transfer Learning Based Classifier Ensemble Model for Customer Credit Scoring. - Jin Xiao; Runzhe Wang; Ge-Er Teng; Yi Hu (CSO, 2014)

FastID: An undeceived router for real-time identification of WiFi terminals. - Li Lu 001; Runzhe Wang; Jing Ding; Wubin Mao; Wei Chen; Hongzi Zhu (Networking, 2015)

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 001; Jiaguang Sun 001 (ESEC/SIGSOFT FSE, 2019)

Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently. - Rong Ge 001; Runzhe Wang; Haoyu Zhao (CoRR, 2019)

Vulnerable Code Clone Detection for Operating System Through Correlation-Induced Learning. - Heyuan Shi; Runzhe Wang; Ying Fu; Yu Jiang 001; Jian Dong; Kun Tang; Jiaguang Sun 001 (IEEE Trans. Ind. Informatics, 2019)

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 001 (NeurIPS, 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 001 (NeurIPS, 2021)

Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias. - Kaifeng Lyu; Zhiyuan Li 005; Runzhe Wang; Sanjeev Arora (NeurIPS, 2021)

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 001 (ESEC/SIGSOFT FSE, 2022)

KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization. - Qinglong Wang; Runzhe Wang; Yuxi Hu; Xiaohai Shi; Zheng Liu; Tao Ma 006; Houbing Song; Heyuan Shi (ISSTA, 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 001 (RTSS, 2023)

Attributed Triple Extraction by Combination Under Contrastive Learning. - Runzhe Wang; Gaofeng Xu; Guilin Qi; Yun Li; Yongrui Chen 002; Songlin Zhai; Yuxin Zhang; Rihui Jin; Nijun Li; Qianren Wang (DASFAA (7), 2024)

Collaborating LLMs and PLMs for Medical Tasks. - Gaofeng Xu; Yuan Meng; Runzhe Wang; Guilin Qi (ICKG, 2024)

The Marginal Value of Momentum for Small Learning Rate SGD. - Runzhe Wang; Sadhika Malladi; Tianhao Wang 017; Kaifeng Lyu; Zhiyuan Li 005 (ICLR, 2024)

Industry Practice of Directed Kernel Fuzzing for Open-source Linux Distribution. - Heyuan Shi; Shijun Chen; Runzhe Wang; Yuhan Chen; Weibo Zhang; Qiang Zhang; Yuheng Shen; Xiaohai Shi; Chao Hu; Yu Jiang 001 (ASE, 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 001 (SIGSOFT FSE Companion, 2024)

PatchBert: Continuous Stable Patch Identification for Linux Kernel via Pre-trained Model Fine-tuning. - Rongkai Liu; Heyuan Shi; Yongchao Zhang; Runzhe Wang; Yuheng Shen; Yuao Chen; Jing Luo; Xiaohai Shi; Chao Hu; Yu Jiang 001 (SANER, 2024)

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. - Rui Lu; Runzhe Wang; Kaifeng Lyu; Xitai Jiang; Gao Huang 001; Mengdi Wang (ICLR, 2025)

DragonRadar: Fuzzing Linux Kernel Deployed in Cloud-Native Environment. - Heyuan Shi; Weibo Zhang; Runzhe Wang; Xiaohai Shi; Guoyu Yin; Shijun Chen; Yuhan Chen; Qiang Zhang; Jianzhong Liu; Yuheng Shen (SANER, 2025)

PatchScope: LLM-Enhanced Fine-Grained Stable Patch Classification for Linux Kernel. - Rongkai Liu; Heyuan Shi; Shuning Liu; Chao Hu; Sisheng Li; Yuheng Shen; Runzhe Wang; Xiaohai Shi; Yu Jiang 001 (Proc. ACM Softw. Eng., 2025)

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. - Kaixuan Huang; Jiacheng Guo; Zihao Li; Xiang Ji; Jiawei Ge 003; Wenzhe Li; Yingqing Guo; Tianle Cai; Hui Yuan 002; Runzhe Wang; Yue Wu; Ming Yin; et al. (CoRR, 2025)