Zhang Sheng · 张升
Portrait of Zhang Sheng

Lecturer · Shaoxing Vocational & Technical College

Zhang Sheng 张升

My research focuses on blockchain security, smart contract analysis, and medical AI. Previously, I served as project lead for ZhiYuDao at CancerDAO and worked as a Research Assistant at City University of Hong Kong. My work has appeared at DSN 2026 and in Computer Physics Communications, IEEE TNSM, Information Fusion, and other conferences and journals.

Research interests
Blockchain SecuritySmart Contract AnalysisMedical AIGPU-Accelerated Computing

Selected Publications

Research outputsView all publications →
2026

PDLogger: Automated Logging Framework for Practical Software Development

Shengchen Duan, Yihua Xu, Zhang Sheng, Shen Wang, Yue Duan

DSN 2026 · Accepted
2025

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 · JCR Q1
2025

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

Zhang Sheng, Lishu Duan, Hanbo Jiang

Computer Physics Communications · JCR Q1

Research Experience

Selected engagements
EIT

Eastern Institute of Technology

Research Intern

Developed acoustic ray-tracing software and GPU-accelerated its core algorithms, leading to a publication in Computer Physics Communications.

ZJU

Zhejiang University

Visiting Research

Studied fraud detection for blockchain transaction data, resulting in papers in IEEE TNSM and Information Fusion.

CITYU

City University of Hong Kong

Research Assistant

Contributed to digital medicine and open-science research, including software copyrights for medical-data sharing, decision support, and longitudinal health tracking.

SMU

Singapore Management University

Visiting Research

Studied static analysis of smart-contract bytecode with an emphasis on transfer obfuscation; the resulting paper was submitted to ACSAC 2026.

CDAO

CancerDAO · ZhiYuDao

Former Project Lead

Led an AI health companion for cancer patients, including structured health archives, AI report parsing, and data-ownership capabilities.

Education & Service

Academic background
Degree

Hefei University of Technology

Master's degree, with research focused on blockchain security, smart contract analysis, and GPU acceleration.

Service

Journal Reviewing

Reviewer for IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Services Computing, Cybersecurity, and other journals.

News

Recent updates

Joined Shaoxing Vocational & Technical College as a Lecturer.

PDLogger was accepted by DSN 2026.

Our open-science study was accepted by Frontiers in Blockchain.