About Me

Here is Zhang Sheng (张升).

I obtained my Master’s degree from Hefei University of Technology, where I focused my research on blockchain security, smart contract analysis, and GPU acceleration. During this time, I also served as a reviewer for the IEEE Transactions on Dependable and Secure Computing (TDSC).

As a graduate intern at the Eastern Institute of Technology (EITech) in the research groups led by Academician of Chinese Academy of Sciences Shiyi Chen and Prof. Hanbo Jiang, I was responsible for the development of an acoustic ray-tracing software(8000 lines) and the implementation of GPU acceleration for its core algorithms. This work resulted in a first-author publication in Computer Physics Communications PDF, one of the top journals in mathematical physics, and was recognized with an invention patent.

While visiting Zhejiang University, I collaborated with Prof. Haitao Xu and Prof. Yanbin Wang on fraud-detection methods for blockchain transaction data. This collaboration resulted in a first-author publication in IEEE Transactions on Network Science and Engineering (JCR Q1) PDF and a co-authored paper in Information Fusion (IF 14.7, JCR Q1) PDF.

More recently, as a visiting student at Singapore Management University under Prof. Yue Duan, I have been working on the static analysis of smart-contract bytecode, with a particular emphasis on transfer-obfuscation techniques. Our team has submitted a paper detailing these findings to ACM IMC’25—one of the premier conferences in computer networking—and it is currently under peer review PDF.

If you are interested in any aspect of me, I am always open to discussions and collaborations. Feel free to reach out to me at dcszhang[at]foxmail[dot]com

Research Interests

I am actively seeking a PhD position for 2026 Spring admission. If you have any information, please contact me!

GPU Architecture
Blockchain Fraud Detection
Smart Contract Analysis

My current research interests lie in Code analysis for smart contracts, a field where I find both intellectual challenge and enjoyment. My undergraduate and master’s experiences have shaped my skills and deepened my passion for exploring this area. Additionally, analyzing and researching GPU architectures, particularly their design and optimization, excites me just as much, as it combines my technical expertise with my enthusiasm for high-performance computing.

News and Updates

June 2025: “Accelerating Beam-Tracing Method with Dynamic Parallelism on Graphics Processing Units” has been accepted by Computer Physics Communications journal.
May 2025: “Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Phishing Detection” has been accepted by IEEE Transactions on Network and Service Management journal.
February 2025: “Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning” has been accepted by Information Fusion journal.