(~: equal contribution, †: corresponding author)

Paper

• Understanding and Characterizing Obfuscated Funds Transfers in Ethereum Smart Contracts

  Zhang Sheng, Tan Kia Quang, †Kai Li, †Yue Duan. Submitted to Internet Measurement Conference 2025 (IMC 2025). Published in: arXiv preprint arXiv:2505.11320, 2025. PDF https://github.com/dcszhang/obfuscation_tool

• Accelerating Beam-Tracing Method with Dynamic Parallelism on Graphics Processing Units

  ~Zhang Sheng, ~Lishu Duan, †Hanbo Jiang. Computer Physics Communications Accepted(JCP Q1). PDF https://github.com/dcszhang/accelerate_eitray

• Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection

  ~Zhang Sheng, ~Liangliang Song, †Yanbin Wang. IEEE Transactions on Network and Service Management Accepted(JCP Q1) PDF https://github.com/dcszhang/Dynamic_Feature

• Optimizing Acoustic Field Rendering Through Heterogeneous Computing

  ~†Zhang Sheng, Zhu H. Optimizing acoustic field rendering through heterogeneous computing[C] Fifth International Conference on Signal Processing and Computer Science (SPCS 2024). SPIE, 2025, 13442: 316-321.PDF

  It has been converted to closed-source commercial software and is not publicly available at this time.

• Ethereum Fraud Detection via Joint Transsaction Language Model and Graph Representation Learning
  Jia Y, †Wang Y, Sun J, Zhang S. Information Fusion Accepted(JCR Q1) PDF https://github.com/lincozz/TLmGNN

Patent

• ZHANG Sheng, DUAN Lishu, JIANG Hanbo. A dynamic parallel Gaussian beam tracking method based on GPU [P]. Zhejiang Province: CN118565603A,2024-08-30.

Ongoing Project

Preparation for IELTS.

Early Project

• Smart Contract Fraud Detection and Obfuscation Analysis
  During my visit to Singapore Management University under Prof.Yue Duan I designed Obs_tool, a transfer-centric, bytecode-level analysis framework that systematically uncovers and quantifies obfuscation in Ethereum contracts. Building a taxonomy of seven key obfuscation features, I applied Z-score ranking to analyze 1.03 million contracts, isolating over 3,000 highly obfuscated instances. This study revealed two novel scam types, three high-risk contract categories, and MEV bots employing assembly injection, dead code, and deep function splitting. I further demonstrated that obfuscation significantly increases both the scale of financial damage and evasion time, and showed how the state-of-the-art Ponzi detector SourceP suffers an accuracy drop from ~80 percent on clean samples to ~12 percent on obfuscated ones, underscoring the urgent need for enhanced anti-obfuscation techniques.

• AI and Blockchain Fraud Detection
  As part of my research at Zhejiang University with Prof.Haitao Xu, I proposed the ETH-GBERT model, which combines Graph Convolutional Networks (GCN) and BERT to detect fraudulent activities in blockchain transactions. The project involved designing a multimodal learning framework, creating a data pipeline for transaction analysis, and achieving significant improvements over baseline models.

• Acoustic Beam-Tracing Software GPU Acceleration
  In this project, I accelerated an industrial acoustic simulation software using CUDA. By optimizing memory access patterns, parallel execution strategies, and hardware resource utilization, I achieved a nearly 800x performance improvement. This work also involved rewriting and restructuring legacy code for GPU compatibility.

• GPUPixel Project
  During my internship at iFlytek AI Research Institute, I worked on the GPUPixel rendering framework. I implemented features such as virtual server-based rendering, enhanced image output functionality, and EGL adaptation to improve the system’s performance and future compatibility.

• Acoustic Beam-Tracing Software Refactoring
  I refactored a 7,000-line Fortran acoustic simulation software into C++. This work focused on ensuring functional consistency, improving code maintainability, and preparing the system for subsequent optimizations and extensions.

• E-commerce Recommendation System
  For my undergraduate thesis, I designed and implemented a recommendation system for an e-commerce platform. The system analyzed user behavior, search history, and purchasing patterns to deliver personalized product recommendations.

• GPS and Sensor Technology for Epidemic Prevention
  This project focused on integrating GPS and sensor data to improve epidemic prevention measures. I led the design and development of the system, including architecture planning, frontend interface creation, and backend interaction testing. The project also produced a research report summarizing the theoretical and practical findings.