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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About me
demo
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
DawnGNN: Documentation augmented Windows malware detection using graph neural network
Published in Computers & Security, 2024
We introduce DawnGNN, a novel Windows malware detection framework leveraging official API documentation and graph neural networks. It converts API sequences into graphs, encodes API descriptions using BERT, and employs a Graph Attention Network for detection. Tested on three datasets, DawnGNN demonstrates enhanced detection capabilities, showcasing the value of API documentation in malware analysis.
Recommended citation: 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.
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Fast Calculation of National Commercial Cryptographic Algorithm Based on RISC-V Processing Core
Published in ChinaSoft 2024, 2024
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.
Recommended citation: Ning Zhang, Le Gai, Pengbin Feng. "Fast Calculation of National Commercial Cryptographic Algorithm Based on RISC-V Processing Core." ChinaSoft 2024.
Divide, Predict, Conquer: Adaptive Internet-wide Service Discovery with Limited Seeds
Published in INFOCOM 2026, 2026
To address the challenge of severe reliance on massive prior knowledge (seeds) and low efficiency in Internet-wide service discovery, this project proposes SPADE, an efficient prediction and discovery method featuring adaptivity and divide-and-conquer. This method first acquires a limited number of high-value seeds from target hosts through a multi-level adaptive sampling strategy. Subsequently, drawing on data mining concepts, it progressively extracts two-layer service deployment features using a divide-and-conquer strategy and executes multi-layer predictions in stages. Experiments show that SPADE achieves over 94% Top-1 hit rate and coverage while consuming only 0.15%-1% of the seed volume required by existing state-of-the-art methods. Furthermore, the method accelerates the discovery speed by 219 to 805 times, completing an Internet-wide prediction covering hundreds of millions of hosts within 7 minutes.
Recommended citation: Daguo Cheng, Zedong Jia, Ying Liu, Lin He, Le Gai, et al. "Divide, Predict, Conquer: Adaptive Internet-wide Service Discovery with Limited Seeds." INFOCOM 2026.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.