Shengrui Wang

Université de Sherbrooke — Canada

Computer Science · Physical Sciences

29h-index3.3kcitations210works4.82yr avg
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Research Topics

Advanced Clustering Algorithms Research(31), Data Management and Algorithms(28), Face and Expression Recognition(23), Complex Network Analysis Techniques(23), Time Series Analysis and Forecasting(21)

Publications210 total

An Outlier Suppression and Adversarial Learning Model for Anomaly Detection in Multivariate Time Series
Entropy·2025Open Access
Multivariate Time Series Forecasting with Gate-Based Quantum Reservoir Computing on NISQ Hardware
arXiv (Cornell University)·2025Open Access
Twin learning for domain agnostic time series analysis: A regime-switch approach
Pattern Recognition·2025Open Access
A Hybrid Spiking Model for Anomaly Detection in Multivariate Time Series
Expert Systems·2025
Toward Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
IEEE Transactions on Artificial Intelligence·2025· 6 cited
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series
arXiv (Cornell University)·2025Open Access
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series
2025· 2 cited
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
ACM Computing Surveys·2025· 31 cited
Predicting Online Education Dropout: A new Machine Learning Model based on Sentiment Analysis, Socio-demographic, and Behavioral Data
International Journal of Artificial Intelligence in Education·2025· 6 cited
CORAL: Concept Drift Representation Learning for Co-evolving Time-series
arXiv (Cornell University)·2025Open Access
Efficient Seismic Random Noise Attenuation via KAN-Empowered Neural Low-Rank Representation
IEEE Transactions on Geoscience and Remote Sensing·2025· 2 cited
LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder
2024· 3 cited
WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
arXiv (Cornell University)·2024· 3 citedOpen Access
LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder
arXiv (Cornell University)·2024Open Access
Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences
arXiv (Cornell University)·2024Open Access
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
2024· 3 cited
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
arXiv (Cornell University)·2024Open Access
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
arXiv (Cornell University)·2024Open Access
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
arXiv (Cornell University)·2024· 22 citedOpen Access
Successive data injection in conditional quantum GAN applied to time series anomaly detection
IET Quantum Communication·2024· 9 citedOpen Access
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Frequent Co-authors

Qingshan Jiang(8), Lifei Chen(8), Mohamed Bouguessa(5), Djemel Ziou(5), Tengke Xiong(5), Adel Hlaoui(5), Belkacem Chikhaoui(5), Haojun Sun(3), Qingshan Jiang(3), Hélène Pigot(3), Ali El‐Zaart(2), André Mayers(2), Ernest Monga(2), Abdellali Kelil(2), Ryszard Brzeziński(2), Etienne Gael Tajeuna(2), G.B. Bénié(2), Mauricio Chiazzaro(2), Kunpeng Xu(2), Joshua Zhexue Huang(2)