I am Le Gai, currently studying School of Cyber Engineering, Xidian University, majoring in Network Engineering, as an undergraduate. During my undergraduate studies, I was advised by Lecturer Pengbin Feng and worked under the leadership of Prof. Jianfeng Ma.

I will conduct my Ph.D. program at the Institute for Network Sciences and Cyberspace(INSC), Tsinghua University. I am a member of the [Network Architecture and Measurement Group]{}, advised by Assistant Research Professor Lin He, and under the leadership of Prof. Ying Liu.

Research Interests

My recent work focuses on the following research topics：

• Key Technologies in Network Threat Intelligence
• Feature Engineering-based Ransomware Detection Methods
• Network Space Mapping and Internet Architecture

Education and Intern

• 2021.09-2025.06 B.E, School of Cyber Engineering, Xidian University.
• 2023.06-2023.08 Research Intern, Network Security Group, NSFOCUS Technologies Group Co., Ltd, Xi’an R & D Center.
• 2025.09-2030.06 Ph.D, Institute for Network Sciences and Cyberspace(INSC), Tsinghua University.

News

Publications

Journals:

[1]Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jianfeng Ma. DawnGNN: Documentation augmented Windows malware detection using graph neural network. Computers & Security, 2024: 103788.

Conferences:

[1]Ning Zhang, Le Gai, Pengbin Feng. Fast Calculation of National Commercial Cryptographic Algorithm Based on RISC-V Processing Core. ChinaSoft 2024(Oral), 2024.

PrePrint:

[1]

Patents:

[3]Pengbin Feng, Le Gai, Ning Xi, et al. Semantically enhanced malware detection method for the industrial Internet. Chinese invention patents, 2023.

[2]PengbinFeng, Xuan Lv, Le Gai, et al. The APK obfuscation mechanism detection method is based on a graph attention network and an NLP word embedding model. Chinese invention patents, 2023.

[1]Le Gai, Yanbo Sun ,Junwei Zhang. Safe and efficient vehicle-mounted speech recognition method and system based on federated learning. Chinese invention patents, 2023.

Projects

Open-Source Projects:

Research Projects:

A Safe and Efficient Speech Recognition System for Vehicle Machines Based on Federated Learning (National Innovation Project): The FedAsr project introduces a secure speech recognition framework for the Internet of Vehicles using federated learning, combining deep neural networks with CTC-CNN acoustic models and Markov language decoders. It employs lightweight homomorphic encryption for privacy, reducing overhead. FedAsr enhances accuracy by 10%, cuts latency by 15.8%, and supports decentralized training, improving efficiency and security.

Fast Cryptographic Algorithms Based on RISC-V Processing Cores(Shaanxi Provincial Department of Science and Technology): The project implements and optimizes the national cryptographic algorithms on a domestic RISC-V platform, achieving both software and hardware acceleration. It optimizes the critical computational steps of bilinear pairing and elliptic curves at the instruction level, designs cryptographic processing units for point multiplication and modular exponentiation respectively, and ultimately accelerates the computation of the national cryptographic algorithms.

Feature Engineering-based Ransomware Detection Methods(Office of the Central Cyberspace Affairs Commission): This project plans to implement PE analysis and ransomware feature extraction and use machine learning classification algorithms such as LightGBM, XGBoost, and SVM to design a static detection method based on deeply reflecting the behavioral characteristics of ransomware.

Honors & Awards

• 2024, Cyber Security Academy Student Innovation Funding Program, Office of the Central Cyberspace Affairs Commission.(Only 2 undergraduate students)
• 2024, Model Outstanding Student, Xidian University.
• 2024, National Scholarship, Ministry of Education in China.
• 2024, The Gratitude Scholarship for Modern Chinese Scientists, Southwest Jiaotong University and Singapore Kenyon Pte Ltd. (1/12 schoolwide)
• 2024, Spark Cup College Students Academic Science and Technology Works Competition, Special Prize.
• 2023, China Undergraduate Mathematical Contest in Modeling, National First Prize.
• 2023, The 8th National Encryption Technology Competition, National First Prize.
• 2022, 2023, National Encouragement Scholarship, Ministry of Education in China.