吴怀广｜郑州轻工业大学｜学者主页

2026

Advanced technology-driven few-shot relation extraction: Challenges, opportunities, and future outlook

Daiyi Li, Yao-Yao Liang, Shen-Yi Qian, Yi-Fan Sun, Huaiguang Wu, Wei Jia, Wen-Jie Han, Yilong Fu

Engineering applications of artificial intelligence

DOI

2025

A review of background, methods, limitations and opportunities of knowledge graph completion

Dai-Yi Li, Yao-Yao Liang, Shen-Yi Qian, Huaiguang Wu, Wei Jia, Yilong Fu, Yifan Sun

Computer Science Review

DOI

2025

Small sample smart contract vulnerability detection method based on multi-layer feature fusion

Jinlin Fan, Yaqiong He, Huaiguang Wu

Complex & Intelligent Systems

DOI

2025

Evaluation Framework for Smart Contract Fuzzers

Peixuan Feng, Yong-Juan Wang, Si-Qi Lu, Qing-Jun Yuan, Gang Yu, Xiang-Yu Wang, Jianan Liu, Huaiguang Wu

J. Softw. Evol. Process.

DOI

2025

Imbalanced Broad Learning System with label relaxation and sample weight adaptation

Yan-Ting Li, Yu-Sha Wang, Jun-Wei Jin, Wei-Wei Zhang, Hong-Wei Tao, Huaiguang Wu, C. L. Philip Chen

Applied Soft Computing

DOI

2024

EDSCVD: Enhanced Dual-Channel Smart Contract Vulnerability Detection Method

Huaiguang Wu, Yi-Bo Peng, Yaqiong He, Si-Qi Lu

Symmetry

DOI

2024

A Review of Deep Learning-Based Vulnerability Detection Tools for Ethernet Smart Contracts

Huaiguang Wu, Yi-Bo Peng, Yaqiong He, Jinlin Fan

Computer Modeling in Engineering & Sciences

DOI

2024

Smart contract vulnerability detection based on BERT-based multilayer feature fusion

Jinlin Fan, Huaiguang Wu

Other Conferences

DOI

2024

A Systematic Review and Performance Evaluation of Open-Source Tools for Smart Contract Vulnerability Detection

Yaqiong He, Jinlin Fan, Huaiguang Wu

Comput. Mater. Continua

DOI

2024

Density-Based Discriminative Nonnegative Representation Model for Imbalanced Classification

Yan-Ting Li, Shuai Wang, Jun-Wei Jin, Hong-Wei Tao, Jiao-Fen Nan, Huaiguang Wu, C. L. Philip Chen

Neural Processing Letters

DOI

2021

智能合约的形式化验证方法综述

王润六，吴怀广，何亚琼

《网络空间安全》

2019

Bigraph反应系统中类型表述理论的研究进展

吴怀广，石永生

《广州大学学报(自然科学版)》

2015

面向软件行为的需求模型可视化研究

马丽，吴怀广，毋国庆

《计算机应用研究》

2012

基于嵌套赋类的Bigraph反应系统模型

吴怀广，金保华，甘勇，毋国庆

《计算机科学》

2012

一种基于无干扰的软件动态行为可信性分析方法

张帆，江敏，吴怀广，徐明迪

《计算机科学》

2012

普适环境中上下文感知的带演算的Bigraphs描述

吴怀广，姬厚灵，毋国庆，苗玥

《计算机科学》

2011

面向行为的需求建模研究及实现

万黎，毋国庆，吴怀广

《计算机科学》

2011

面向软件行为的需求模型及特性检测

吴怀广，毋国庆，陈曙，万黎

《计算机研究与发展》

2011

Bigraph理论的研究与应用

吴怀广

《武汉大学》

2006

基于扩展π演算的Web服务事务研究

吴怀广

《浙江师范大学》

吴怀广

精选作品

期刊论文

Advanced technology-driven few-shot relation extraction: Challenges, opportunities, and future outlook

A review of background, methods, limitations and opportunities of knowledge graph completion

Small sample smart contract vulnerability detection method based on multi-layer feature fusion

Evaluation Framework for Smart Contract Fuzzers

Imbalanced Broad Learning System with label relaxation and sample weight adaptation

EDSCVD: Enhanced Dual-Channel Smart Contract Vulnerability Detection Method

A Review of Deep Learning-Based Vulnerability Detection Tools for Ethernet Smart Contracts

Smart contract vulnerability detection based on BERT-based multilayer feature fusion

A Systematic Review and Performance Evaluation of Open-Source Tools for Smart Contract Vulnerability Detection

Density-Based Discriminative Nonnegative Representation Model for Imbalanced Classification

智能合约的形式化验证方法综述

Bigraph反应系统中类型表述理论的研究进展

面向软件行为的需求模型可视化研究

基于嵌套赋类的Bigraph反应系统模型

一种基于无干扰的软件动态行为可信性分析方法

普适环境中上下文感知的带演算的Bigraphs描述

面向行为的需求建模研究及实现

面向软件行为的需求模型及特性检测

Bigraph理论的研究与应用

基于扩展π演算的Web服务事务研究

研究方向