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)

RecMaL: Rectify the malware family label via hybrid analysis. - Wang Yang; Mingzhe Gao; Ligeng Chen; Zhengxuan Liu; Lingyun Ying (Comput. Secur., 2023)

Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes. - Ke Wu; Kaizhao Zhang; Mingzhe Gao; Jieru Zhao; Zhongxue Gan; Wenchao Ding 001 (AAAI, 2024)

Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs. - Mingzhe Gao; Jieru Zhao; Zhe Lin 007; Minyi Guo (DATE, 2024)

AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs. - Mingzhe Gao; Jieru Zhao; Zhe Lin 007; Wenchao Ding 001; Xiaofeng Hou; Yu Feng 007; Chao Li 009; Minyi Guo (ICCD, 2024)

PFortifier: Mitigating PHP Object Injection Through Automatic Patch Generation. - Bo Pang; Yiheng Zhang; Mingzhe Gao; Junzhe Zhang; Ligeng Chen; Mingxue Zhangt; Gang Liang (SP, 2025)

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis. - Zedong Peng; Zeju Li; Mingzhe Gao; Qiang Xu 001; Chen Zhang 001; Jieru Zhao (CoRR, 2025)