Research
Read how they describe their research on their Queen's University profile.
Latest papers
IL-IDS: an incremental learning approach with confined data streams for intrusion detection
Cybersecurity · 2025
Chess Game Outcome Prediction Using Machine Learning
2025 · senior author
Adaptive Incremental Provenance Analysis for Trustworthy Federated Learning
Lecture notes in computer science · 2025
Latest funding
- $54,000
Nonlinear operator equations and deep neural networks
NSERC · 2023 · Principal investigator
- $12,125
Deep Learning Applied to Energy Forecast: Implementation and Evaluation
NSERC · 2018 · Principal investigator
- $25,000
Computational Algorithms for Energy Efficiency and Cost Reduction
NSERC · 2017 · Principal investigator
104 publications.
IL-IDS: an incremental learning approach with confined data streams for intrusion detection
Jianming Li, Ye Wang, Yan Jia, Liyi Zeng, Wenying Feng, Jing Xing Xiao, Cui Luo, Zhaoquan Gu, Binxing Fang
Chess Game Outcome Prediction Using Machine Learning
Noah Giacchetta, Uchechukwu Obinwanne, Wenying Feng
Adaptive Incremental Provenance Analysis for Trustworthy Federated Learning
Aiting Yao, Chengzu Dong, Shantanu Pal, Frank Jiang, Haiyan Wang, Ruonan Li, Wenying Feng, Lichen Liu, Zhaoquan Gu
Intraday Stock Price Prediction using Machine Learning: A Case Study on YFinance Stock Data
Dikshith Reddy Macherla, Uchechukwu Obinwanne, Wenying Feng
Reducing Financial Debt and Illiteracy in Canadian Populations Using Machine Learning Prediction Models
Mariam Merza, Uchechukwu Obinwanne, Wenying Feng
Threat intelligence named entity recognition techniques based on few-shot learning
Haiyan Wang, Weimin Yang, Wenying Feng, Liyi Zeng, Zhaoquan Gu
Integral Operators in b-Metric and Generalized b-Metric Spaces and Boundary Value Problems
Christopher T. Middlebrook, Wenying Feng
Multi-Granularity User Anomalous Behavior Detection
Wenying Feng, Yu Cao, Yilu Chen, Ye Wang, Ning Hu, Yan Jia, Zhaoquan Gu
An Encrypted Malicious Traffic Detection Method Based on Deeper Protocol Features
Lei Chen, Yilu Chen, Chenwei Liu, Wenying Feng
Bike sharing systems via birth-death process and simulation modelling
Lena Wallwork, Uchechukwu Obinwanne, Wenying Feng
Nonlinear operator equations and deep neural networks
Principal investigators: Feng, Wenying
Keywords: fixed point theory; nonlinear differential equation; applied difference equation; fractional-order boundary value problem; mathematical modelling; nonlinear analysis; numerical simulation; neural network; computational algorithm; operator equation
Deep Learning Applied to Energy Forecast: Implementation and Evaluation
Principal investigators: Feng, Wenying
Computational Algorithms for Energy Efficiency and Cost Reduction
Principal investigators: Feng, Wenying
Fixed Point Theory, Nonlinear Differential Equations and Computational Algorithms on Data Analytics
Principal investigators: Feng, Wenying
Spectral properties and solutions for parameter dependent differential equations
Principal investigators: Feng, Wenying
Applictions of nonlinear and semilinear spectra to boundary vallue problems/computer system performance analysis
Principal investigators: Feng, Wenying
Spectral theory and semilinear problems
Principal investigators: Feng, Wenying
From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke, Brain Canada and the New Frontiers in Research Fund.
Frequent collaborators
- Jimmy Huang and Wenying Feng: 3 shared papers
- Omar Alam and Wenying Feng: 2 shared papers
- Hossam Hassanein and Wenying Feng: 1 shared paper
- Vangalur Alagar and Wenying Feng: 1 shared paper
- Wenying
- Information Technology, School of
- Department of Computer Science
- Hossam
- Department of Computer Science and Software Engineering
Co-authors at Queen's University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.