Wenhua Hu

51 papers A 4B 4C 5Journal 22Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Yolo-like lightweight ship detection network for unmanned surface vehicles.
Comput. J.
Weina Zhou, Wei Shao, Wenhua Hu
2025 J jnl
Bug numbers matter: An empirical study of effort-aware defect prediction using class labels versus bug numbers.
Softw. Pract. Exp.
Peixin Yang, Ziyao Zeng, Lin Zhu, Yanjiao Zhang, Xin Wang, Chuanxiang Ma, Wenhua Hu
2025 — conf
GMDMP: Gaussian Mixture Diffusion Model for Adversarial Purification.
PRCV (3)
Yongbo Li, Wenhua Hu, Zhijie Feng, Mengjie Wang, Jianwen Xiang
2025 C conf
Lightweight Attention-based Temporal Modeling of Key Facial Features for Driver Fatigue Detection in Intelligent Driver Monitoring Systems.
APSEC
Bailing Song, Lanhao Qin, Wenhua Hu, Jianwen Xiang, Rui Hao
2025 J jnl
On the value of imbalance loss functions in enhancing deep learning-based vulnerability detection.
Expert Syst. Appl.
Xiaoxue Ma, Yanzhong He, Jacky Keung, Cheng Tan, Chuanxiang Ma, Wenhua Hu, Fuyang Li
2025 J jnl
PFMultiNet: a progressive fusion ship detection network for underactuated unmanned surface vehicles in complex environments.
J. Real Time Image Process.
Weina Zhou, Wei Shao, Wenhua Hu
2025 C conf
Practical Lossless Recompression of JPEG Images Using Transform Domain Prediction.
APSEC
Long Chen, Wenhua Hu, Rui Hao, Junwei Zhou, Jianwen Xiang
2025 J jnl
SCNet-YOLO: a symmetric convolution network for multi-scenario ship detection based on YOLOv7.
J. Supercomput.
Weina Zhou, Yuqi Yang, Ming Zhao, Wenhua Hu
2025 J jnl
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study.
Autom. Softw. Eng.
Zexian Zhang, Lin Zhu, Shuang Yin, Wenhua Hu, Shan Gao, Haoxuan Chen, Fuyang Li
2025 J jnl
Unipolar Hybrid Frequency PWM Strategy With Power Matching for Asymmetric Cascaded H-Bridge Multilevel Inverters.
IEEE Trans. Ind. Electron.
Zhixiong Liu, Haoyu Li, Yanlin Xing, Wenhua Hu
2024 J jnl
Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review.
CoRR
Fengji Zhang, Zexian Zhang, Jacky Wai Keung, Xiangru Tang, Zhen Yang, Xiao Yu, Wenhua Hu
2024 J jnl
Data preparation for Deep Learning based Code Smell Detection: A systematic literature review.
J. Syst. Softw.
Fengji Zhang, Zexian Zhang, Jacky Wai Keung, Xiangru Tang, Zhen Yang, Xiao Yu, Wenhua Hu
2024 — conf
Development and Implementation of a Wisdom Course Utilizing the "Teaching-Innovation-Competition" Model within the Virtual Teaching and Research Section of Mechatronic Engineering Major in China.
ICAIE
Wei Chen, Wenpeng Ma, Wenhua Hu, Fulong Liu, Xiaotao Zhang
2024 — conf
Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study.
Internetware
Yanzhong He, Guancheng Lin, Xiaoxue Ma, Jacky Wai Keung, Cheng Tan, Wenhua Hu, Fuyang Li
2024 J jnl
Improving effort-aware defect prediction by directly learning to rank software modules.
Inf. Softw. Technol.
Xiao Yu, Jiqing Rao, Lei Liu, Guancheng Lin, Wenhua Hu, Jacky Wai Keung, Junwei Zhou, Jianwen Xiang
2024 C conf
On the Relative Value of Feature Selection Techniques for Code Smell Detection.
APSEC
Zexian Zhang, Lin Zhu, Shuang Yin, Shan Gao, Haoxuan Chen, Wenhua Hu, Fuyang Li
2024 J jnl
On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction.
Expert Syst. Appl.
Peixin Yang, Lin Zhu, Yanjiao Zhang, Chuanxiang Ma, Liming Liu, Xiao Yu, Wenhua Hu
2024 B conf
Practitioners' Expectations on Code Smell Detection.
COMPSAC
Zexian Zhang, Shuang Yin, Wenliu Wei, Xiaoxue Ma, Jacky Wai Keung, Fuyang Li, Wenhua Hu
2024 — conf
Reliability Analysis of Man-Machine Systems Considering Imperfect Error Coverage Model.
ISSRE (Workshops)
Chuqi Guo, Yu Lin, Ling Dong, Zhijie Feng, Luyao Ye, Wenhua Hu, Siwei Zhou, Jianwen Xiang
2024 J jnl
Revisiting Code Smell Severity Prioritization using learning to rank techniques.
Expert Syst. Appl.
Lei Liu, Guancheng Lin, Lin Zhu, Zhen Yang, Peilin Song, Xin Wang, Wenhua Hu
2024 J jnl
SGT: Aging-related bug prediction via semantic feature learning based on graph-transformer.
J. Syst. Softw.
Chen Zhang, Jianwen Xiang, Rui Hao, Wenhua Hu, Domenico Cotroneo, Roberto Natella, Roberto Pietrantuono
2023 — conf
Black-Box Test Case Prioritization Using Log Analysis and Test Case Diversity.
ISSREW
Xiaolei Yu, Kai Jia, Wenhua Hu, Jing Tian, Jianwen Xiang
2023 — conf
Reform of Experimental Teaching by Integrating Virtual Simulation and Remote Control.
ICDEL
Wenhua Hu, Yuncheng He, Jing Li, Wei Chen, Ruiqin Wu
2023 B conf
Revisiting "code smell severity classification using machine learning techniques".
COMPSAC
Wenhua Hu, Lei Liu, Peixin Yang, Kuan Zou, Jiajun Li, Guancheng Lin, Jianwen Xiang
2023 J jnl
Revisiting 'revisiting supervised methods for effort-aware cross-project defect prediction'.
IET Softw.
Fuyang Li, Peixin Yang, Jacky Wai Keung, Wenhua Hu, Haoyu Luo, Xiao Yu
2023 J jnl
Software Aging Prediction for Cloud Services Using a Gate Recurrent Unit Neural Network Model Based on Time Series Decomposition.
IEEE Trans. Emerg. Top. Comput.
Kai Jia, Xiao Yu, Chen Zhang, Wenhua Hu, Dongdong Zhao, Jianwen Xiang
2023 — conf
The Impact of the bug number on Effort-Aware Defect Prediction: An Empirical Study.
Internetware
Peixin Yang, Lin Zhu, Wenhua Hu, Jacky Wai Keung, Liping Lu, Jianwen Xiang
2022 A conf
The Impact of Software Aging and Rejuvenation on the User Experience for Android System.
ISSRE
Kai Jia, Xiao Yu, Chen Zhang, Wenhua Hu, Dongdong Zhao, Jianwen Xiang
2021 J jnl
An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction.
Sensors
Haoyu Luo, Heng Dai, Weiqiang Peng, Wenhua Hu, Fuyang Li
2021 J jnl
Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer.
Sensors
Yizhou Chen, Heng Dai, Xiao Yu, Wenhua Hu, Zhiwen Xie, Cheng Tan
2020 — conf
Aging-Related Bugs Prediction Via Convolutional Neural Network.
DSA
Qinchen Liu, Jianwen Xiang, Bin Xu, Dongdong Zhao, Wenhua Hu, Jian Wang
2020 — conf
Individual Dynamic Graduation Requirements Achievements of Students.
ICDEL
Yalu Zhao, Shuying Hao, Lu Yang, Guofeng Xia, Wenhua Hu
2020 J jnl
Nonlinear dynamics of a Z-shaped structure with validated global analytical mode shapes.
Commun. Nonlinear Sci. Numer. Simul.
Wenhua Hu, Y. L. Zhao, Dongxing Cao, J. E. Chen, Ruiqin Wu
2020 — conf
VSFBS: Vulnerability Search in Firmware Based on String.
DSA
Zhibin Zhang, Dian Zhou, Jiqing Rao, Dongdong Zhao, Wenhua Hu, Jianwen Xiang, Zhongjin Liu, Yanzhen Xing
2019 J jnl
An accurate and fast method for computing offsets of high degree rational Bézier/NURBS curves with user-definable tolerance.
J. Comput. Lang.
Zhifeng Qiao, Miao Hu, Zhenhai Tan, Zhenzhong Liu, Liang Liu, Wenhua Hu
2018 J jnl
Development of a human error taxonomy for software requirements: A systematic literature review.
Inf. Softw. Technol.
Vaibhav K. Anu, Wenhua Hu, Jeffrey C. Carver, Gursimran S. Walia, Gary Bradshaw
2018 J jnl
Using human error information for error prevention.
Empir. Softw. Eng.
Wenhua Hu, Jeffrey C. Carver, Vaibhav K. Anu, Gursimran S. Walia, Gary L. Bradshaw
2017 B conf
Defect Prevention in Requirements Using Human Error Information: An Empirical Study.
REFSQ
Wenhua Hu, Jeffrey C. Carver, Vaibhav K. Anu, Gursimran Singh Walia, Gary L. Bradshaw
2017 A conf
Issues and Opportunities for Human Error-Based Requirements Inspections: An Exploratory Study.
ESEM
Vaibhav K. Anu, Gursimran Singh Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw
2017 — conf
Understanding Human Errors In Software Requirements: An Online Survey.
REFSQ Workshops
Wenhua Hu, Jeffrey C. Carver, Gursimran Singh Walia, Vaibhav K. Anu, Gary L. Bradshaw
2017 B conf
Usefulness of a Human Error Identification Tool for Requirements Inspection: An Experience Report.
REFSQ
Vaibhav K. Anu, Gursimran Singh Walia, Gary L. Bradshaw, Wenhua Hu, Jeffrey C. Carver
2017 — conf
Using Human Error Abstraction Method for Detecting and Classifying Requirements Errors: A Live Study.
REFSQ Workshops
Vaibhav K. Anu, Gursimran Singh Walia, Gary L. Bradshaw, Wenhua Hu, Jeffrey C. Carver
2016 A conf
Detection of Requirement Errors and Faults via a Human Error Taxonomy: A Feasibility Study.
ESEM
Wenhua Hu, Jeffrey C. Carver, Vaibhav K. Anu, Gursimran S. Walia, Gary L. Bradshaw
2016 C conf
Effectiveness of Human Error Taxonomy during Requirements Inspection: An Empirical Investigation.
SEKE
Vaibhav K. Anu, Gursimran S. Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw
2016 — conf
Error Abstraction Accuracy and Fixation during Error-Based Requirements Inspections.
ISSRE Workshops
Vaibhav K. Anu, Gursimran Singh Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw
2016 A conf
Using a Cognitive Psychology Perspective on Errors to Improve Requirements Quality: An Empirical Investigation.
ISSRE
Vaibhav K. Anu, Gursimran Singh Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw
2012 J jnl
Operation speed limited by the electric properties of the photorefractive spatial light modulator.
J. Supercomput.
Xiujian Li, Wenhua Hu, Hualiang Zhang, Yongming Nie, Jiankun Yang, Junbo Yang
2012 — conf
Routing with bridging nodes for drifting mobility.
WUWNet
Xiaoyan Hong, Meng Kuai, Wenhua Hu
2009 — conf
Analyze the Discrete Photo-Induced Current Pulses of the Photorefractive Spatial Light Modulator.
OSC
Xiujian Li, Xiaoguang Hou, Yongming Nie, Wenhua Hu, Jiankun Yang, Junbo Yang
2009 — conf
Optical Correlator for Star Identification and Tracking.
OSC
Hui Jia, Jiankun Yang, Xiujian Li, Wenhua Hu, Juncai Yang, Qingchun Fan, Yuncai Hao
2006 C conf
Target Detection Based on The Artificial Neural Network Technology.
ICARCV
Kaiyu Xu, Wenhua Hu, Weina Zhou, Huayao Zheng