Mingzhe Gao

According to our database, Mingzhe Gao authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis.

Zedong Peng, Zeju Li, Mingzhe Gao, Qiang Xu, Chen Zhang, Jieru Zhao

CoRR, July, 2025

PFortifier: Mitigating PHP Object Injection Through Automatic Patch Generation.

Bo Pang, Yiheng Zhang, Mingzhe Gao, Junzhe Zhang, Ligeng Chen, Mingxue Zhangt, Gang Liang

Proceedings of the IEEE Symposium on Security and Privacy, 2025

Distilling Benign Knowledge with Fine-Grained AST Fragments for Precise Real-World Web Shell Detection.

Mingzhe Gao, Ligeng Chen, Yiling He, Yuhang Chen, Lingyun Ying, Wang Yang

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

2024

AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs.

Mingzhe Gao, Jieru Zhao, Zhe Lin, Wenchao Ding, Xiaofeng Hou, Yu Feng, Chao Li, Minyi Guo

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs.

Mingzhe Gao, Jieru Zhao, Zhe Lin, Minyi Guo

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes.

Ke Wu, Kaizhao Zhang, Mingzhe Gao, Jieru Zhao, Zhongxue Gan, Wenchao Ding

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RecMaL: Rectify the malware family label via hybrid analysis.

Wang Yang, Mingzhe Gao, Ligeng Chen, Zhengxuan Liu, Lingyun Ying

Comput. Secur., May, 2023

2019

An improved kernel-based incremental extreme learning machine with fixed budget for nonstationary time series prediction.

Wei Zhang, Aiqiang Xu, Dianfa Ping, Mingzhe Gao

Neural Comput. Appl., 2019