Training multi-layered neural networks with T.R. Based algorithm. - Shengrui Wang (Neural Networks, 1988)

Réseaux multicouches de neurones artificiels : algorithmes d'apprentissage, implantations sur hypercube : applications. (Multilayered mural networks: learning algorithms, implementation on a hypercube machine, applications). - Shengrui Wang (1989)

A PCMN neural network for isolated word recognition. - Haïyan Ye; Shengrui Wang; François Robert (Speech Commun., 1990)

Computing Effect-to-Cause/Cause-to-Effect Diagnoses Within NdL. - Béchir el Ayeb; Shengrui Wang (IJCAI, 1993)

Performance evaluation of first order operators. - Djemel Ziou; Jean-Pierre Fabre; Shengrui Wang (ICPR (1), 1994)

Abduction-Based Diagnosis: A Competition-Based Neural Model Simulating Adductive Reasoning. - Béchir el Ayeb; Shengrui Wang (J. Parallel Distributed Comput., 1995)

Isotropic Processing for Gradient Estimation. - Djemel Ziou; Shengrui Wang (CVPR, 1996)

An Effective Algorithm for Incompatibility Abduction Problems. - Béchir el Ayeb; Shengrui Wang (Int. J. Artif. Intell. Tools, 1996)

Depth from Defocus using the Hermite Transform. - Djemel Ziou; Shengrui Wang; Jean Vaillancourt (ICIP (2), 1998)

A system for picture labeling. - G. Daigle; Shengrui Wang; Djemel Ziou; Béchir el Ayeb (SMC, 1998)

Ship detection in RADARSAT SAR imagery. - Qingshan Jiang; Shengrui Wang; Djemel Ziou; Ali El Zaart; Maria T. Rey; Goze B. Bénié; Michael Henschel (SMC, 1998)

A unified model for abduction-based reasoning. - Béchir el Ayeb; Shengrui Wang; Jifeng Ge (IEEE Trans. Syst. Man Cybern. Part A, 1998)

Image Classification and Retrieval on the World Wide Web. - Noureddine Abbadeni; Djemel Ziou; Shengrui Wang (ACM DL, 1999)

A further investigation for fuzzy measures on metric spaces. - Qingshan Jiang; Shengrui Wang; Djemel Ziou (Fuzzy Sets Syst., 1999)

Estimation of multi-modal histogram's pdf using a mixture model. - Elmehdi Aitnouri; Shengrui Wang; Djemel Ziou; Jean Vaillancourt; Langis Gagnon (Neural Parallel Sci. Comput., 1999)

Computational Measures Corresponding to Perceptual Textural Features. - Noureddine Abbadeni; Djemel Ziou; Shengrui Wang (ICIP, 2000)

Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception. - Noureddine Abbadeni; Djemel Ziou; Shengrui Wang (ICPR, 2000)

Pseudometric generating property and autocontinuity of fuzzy measures. - Qingshan Jiang; Shengrui Wang; Djemel Ziou; Zhenyuan Wang; George J. Klir (Fuzzy Sets Syst., 2000)

An Artificial Network Simulating Cause-to-Effect Reasoning: Cancellation Interactions and Numerical Studies. - Lotfi Ben Romdhane 001; Béchir el Ayeb; Shengrui Wang (Knowl. Inf. Syst., 2001)

A New Algorithm for Inexact Graph Matching. - Adel Hlaoui; Shengrui Wang (ICPR (4), 2002)

A New Algorithm for Graph Matching with Application to Content-Based Image Retrieval. - Adel Hlaoui; Shengrui Wang (SSPR/SPR, 2002)

On Computing the Fuzzifier in -FLVQ: A Data Driven Approach. - Lotfi Ben Romdhane 001; Béchir el Ayeb; Shengrui Wang (Int. J. Neural Syst., 2002)

Segmentation of SAR images. - Ali El Zaart; Djemel Ziou; Shengrui Wang; Qingshan Jiang (Pattern Recognit., 2002)

A New Median Graph Algorithm. - Adel Hlaoui; Shengrui Wang (GbRPR, 2003)

A Distributed Artificial Network Solving Complex and Multiple Causal Associations. - Lotfi Ben Romdhane 001; Béchir el Ayeb; Shengrui Wang (Appl. Intell., 2003)

A direct approach to graph clustering. - Adel Hlaoui; Shengrui Wang (Neural Networks and Computational Intelligence, 2004)

Distinguishing between overlapping components in mixture models. - Haojun Sun; Shengrui Wang (Neural Networks and Computational Intelligence, 2004)

FCM-Based Model Selection Algorithms for Determining the Number of Clusters. - Haojun Sun; Shengrui Wang; Qingshan Jiang (Pattern Recognit., 2004)

Address Extraction: Extraction of Location-Based Information from the Web. - Wentao Cai 003; Shengrui Wang; Qingshan Jiang (APWeb, 2005)

Optimization of cluster coverage for road centre-line extraction in high resolution satellite images. - Seifeddine Ferchichi; Shengrui Wang (ICIP (2), 2005)

An Experiment on the Matching and Reuse of XML Schemas. - Jianguo Lu; Shengrui Wang; Ju Wang 009 (ICWE, 2005)

Approximate Common Structures in XML Schema Matching. - Shengrui Wang; Jianguo Lu; Ju Wang 009 (WAIM, 2005)

A K-means-based Algorithm for Projective Clustering. - Mohamed Bouguessa; Shengrui Wang; Qingshan Jiang (ICPR (1), 2006)

A Clustering-based Algorithm for Extracting the Centerlines of 2D and 3D Objects. - Seifeddine Ferchichi; Shengrui Wang (ICPR (2), 2006)

An objective approach to cluster validation. - Mohamed Bouguessa; Shengrui Wang; Haojun Sun (Pattern Recognit. Lett., 2006)

Median graph computation for graph clustering. - Adel Hlaoui; Shengrui Wang (Soft Comput., 2006)

A New Alignment-Independent Algorithm for Clustering Protein Sequences. - Abdellali Kelil; Shengrui Wang; Ryszard Brzezinski (BIBE, 2007)

PCGEN: A Practical Approach to Projected Clustering and its Application to Gene Expression Data. - Mohamed Bouguessa; Shengrui Wang (CIDM, 2007)

New Algorithm to Extract Centerline of 2D Objects Based on Clustering. - Seifeddine Ferchichi; Shengrui Wang; Sofiane Grira (ICIAR, 2007)

CLUSS: Clustering of protein sequences based on a new similarity measure. - Abdellali Kelil; Shengrui Wang; Ryszard Brzezinski; Alain Fleury (BMC Bioinform., 2007)

Xml Schema Matching. - Jianguo Lu; Ju Wang 009; Shengrui Wang (Int. J. Softw. Eng. Knowl. Eng., 2007)

Cluster validation for subspace clustering on high dimensional data. - Lifei Chen; Qingshan Jiang; Shengrui Wang (APCCAS, 2008)

A Probability Model for Projective Clustering on High Dimensional Data. - Lifei Chen; Qingshan Jiang; Shengrui Wang (ICDM, 2008)

SCS: A New Similarity Measure for Categorical Sequences. - Abdellali Kelil; Shengrui Wang (ICDM, 2008)

Identifying authoritative actors in question-answering forums: the case of Yahoo! answers. - Mohamed Bouguessa; Benoît Dumoulin; Shengrui Wang (KDD, 2008)

CLUSS2: an alignment-independent algorithm for clustering protein families with multiple biological functions. - Abdellali Kelil; Shengrui Wang; Ryszard Brzezinski (Int. J. Comput. Biol. Drug Des., 2008)

A Robust Algorithm for Fuzzy Document Clustering. - Lifei Chen; Shengrui Wang; Qingshan Jiang (AINA Workshops, 2009)

A New MCA-Based Divisive Hierarchical Algorithm for Clustering Categorical Data. - Tengke Xiong; Shengrui Wang; André Mayers; Ernest Monga (ICDM, 2009)

Text Clustering via Particle Swarm Optimization. - Yanping Lu 001; Shengrui Wang; Shaozi Li; Changle Zhou (SIS, 2009)

Mining Projected Clusters in High-Dimensional Spaces. - Mohamed Bouguessa; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2009)

Approximate Address Matching. - Dengyue Li; Shengrui Wang; Zhen Mei (3PGCIC, 2010)

A general measure of similarity for categorical sequences. - Abdellali Kelil; Shengrui Wang; Qingshan Jiang; Ryszard Brzezinski (Knowl. Inf. Syst., 2010)

Discovering Knowledge-Sharing Communities in Question-Answering Forums. - Mohamed Bouguessa; Shengrui Wang; Benoît Dumoulin (ACM Trans. Knowl. Discov. Data, 2010)

An Improved Hybrid Recommender System by Combining Predictions. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang (AINA Workshops, 2011)

A Frequent Pattern Mining Approach for ADLs Recognition in Smart Environments. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (AINA, 2011)

A New Markov Model for Clustering Categorical Sequences. - Tengke Xiong; Shengrui Wang; Qingshan Jiang; Joshua Zhexue Huang (ICDM, 2011)

Activity Recognition in Smart Environments: An Information Retrieval Problem. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (ICOST, 2011)

Parameter-Free Anomaly Detection for Categorical Data. - Shu Wu; Shengrui Wang (MLDM, 2011)

Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data. - Tengke Xiong; Shengrui Wang; André Mayers; Ernest Monga (PAKDD (1), 2011)

Rating-based collaborative filtering combined with additional regularization. - Shu Wu; Shengrui Wang (SIGIR, 2011)

Measuring the component overlapping in the Gaussian mixture model. - Haojun Sun; Shengrui Wang (Data Min. Knowl. Discov., 2011)

Particle swarm optimizer for variable weighting in clustering high-dimensional data. - Yanping Lu 001; Shengrui Wang; Shaozi Li; Changle Zhou (Mach. Learn., 2011)

Semi-naive Bayesian Classification by Weighted Kernel Density Estimation. - Lifei Chen; Shengrui Wang (ADMA, 2012)

Nearest Neighbor Classification by Partially Fuzzy Clustering. - Lifei Chen; Gongde Guo; Shengrui Wang (AINA Workshops, 2012)

Automated feature weighting in naive bayes for high-dimensional data classification. - Lifei Chen; Shengrui Wang (CIKM, 2012)

Towards causal models for building behavioral user profile in ubiquitous computing applications. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (UbiComp, 2012)

Centroid-based clustering for graph datasets. - Lifei Chen; Shengrui Wang; Xuanhui Yan (ICPR, 2012)

A new statistical model for activity discovery and recognition in pervasive environments. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (ICPR, 2012)

A novel hierarchical clustering algorithm for gene sequences. - Dan Wei; Qingshan Jiang; Yanjie Wei; Shengrui Wang (BMC Bioinform., 2012)

DHCC: Divisive hierarchical clustering of categorical data. - Tengke Xiong; Shengrui Wang; André Mayers; Ernest Monga (Data Min. Knowl. Discov., 2012)

Towards non-intrusive sleep pattern recognition in elder assistive environment. - Hongbo Ni; Bessam Abdulrazak; Daqing Zhang 001; Shu Wu; Zhiwen Yu 001; Xingshe Zhou 001; Shengrui Wang (J. Ambient Intell. Humaniz. Comput., 2012)

ADR-SPLDA: Activity discovery and recognition by combining sequential patterns and latent Dirichlet allocation. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (Pervasive Mob. Comput., 2012)

Model-Based Method for Projective Clustering. - Lifei Chen; Qingshan Jiang; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2012)

Document Modeling Using Syntactic and Semantic Information. - Emilie Au; Mohamed Bouguessa; Shengrui Wang (AINA Workshops, 2013)

Causality-Based Model for User Profile Construction from Behavior Sequences. - Belkacem Chikhaoui; Shengrui Wang; Hélène Pigot (AINA, 2013)

Combining Collaborative Filtering and Clustering for Implicit Recommender System. - Simon Renaud-Deputter; Tengke Xiong; Shengrui Wang (AINA, 2013)

Central Clustering of Categorical Data with Automated Feature Weighting. - Lifei Chen; Shengrui Wang (IJCAI, 2013)

NGS++: a library for rapid prototyping of epigenomics software tools. - Alexei Nordell-Markovits; Charles Joly Beauparlant; Dominique Toupin; Shengrui Wang; Arnaud Droit; Nicolas Gevry (Bioinform., 2013)

Personal bankruptcy prediction by mining credit card data. - Tengke Xiong; Shengrui Wang; André Mayers; Ernest Monga (Expert Syst. Appl., 2013)

Efficient Cluster Labeling for Support Vector Clustering. - V. D'Orangeville; André Mayers; Ernest Monga; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2013)

Information-Theoretic Outlier Detection for Large-Scale Categorical Data. - Shu Wu; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2013)

Kernel learning method for distance-based classification of categorical data. - Lifei Chen; Gongde Guo; Shengrui Wang; Xiangzeng Kong (UKCI, 2014)

Pattern-based causal relationships discovery from event sequences for modeling behavioral user profile in ubiquitous environments. - Belkacem Chikhaoui; Shengrui Wang; Tengke Xiong; Hélène Pigot (Inf. Sci., 2014)

A Novel Variable-order Markov Model for Clustering Categorical Sequences. - Tengke Xiong; Shengrui Wang; Qingshan Jiang; Joshua Zhexue Huang (IEEE Trans. Knowl. Data Eng., 2014)

A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang (AAAI, 2015)

Discovering and tracking influencer-influencee relationships between online communities. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang (DSAA, 2015)

Tracking the evolution of community structures in time-evolving social networks. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (DSAA, 2015)

Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data. - Jianfei Zhang 002; Lifei Chen; Alain Vanasse; Josiane Courteau; Shengrui Wang (AAAI, 2016)

Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data. - Jianfei Zhang 002; Shengrui Wang; Josiane Courteau; Lifei Chen; Aurélien Bach; Alain Vanasse (ICDM, 2016)

Tracking Communities over Time in Dynamic Social Network. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (MLDM, 2016)

Soft subspace clustering of categorical data with probabilistic distance. - Lifei Chen; Shengrui Wang; Kaijun Wang; Jianping Zhu (Pattern Recognit., 2016)

Sequential Representation of Clinical Data for Full-Fitting Survival Prediction. - Jianfei Zhang 002; Lifei Chen; Aurélien Bach; Josiane Courteau; Alain Vanasse; Shengrui Wang (AINA Workshops, 2017)

A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. - Ziwei He; Etienne Gael Tajeuna; Shengrui Wang; Mohamed Bouguessa (DSAA, 2017)

Survival analysis for modeling critical events that communities may undergo in dynamic social networks. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (SAC, 2017)

The super-n-motifs model: a novel alignment-free approach for representing and comparing RNA secondary structures. - Jean-Pierre Séhi Glouzon; Jean-Pierre Perreault; Shengrui Wang (Bioinform., 2017)

Structurexplor: a platform for the exploration of structural features of RNA secondary structures. - Jean-Pierre Séhi Glouzon; Jean-Pierre Perreault; Shengrui Wang (Bioinform., 2017)

A new method for decontamination of de novo transcriptomes using a hierarchical clustering algorithm. - Joël Lafond-Lapalme; Marc-Olivier Duceppe; Shengrui Wang; Peter Moffett; Benjamin Mimee (Bioinform., 2017)

Multiple Bayesian discriminant functions for high-dimensional massive data classification. - Jianfei Zhang 002; Shengrui Wang; Lifei Chen; Patrick Gallinari (Data Min. Knowl. Discov., 2017)

Holo-Entropy Based Categorical Data Hierarchical Clustering. - Haojun Sun; Rongbo Chen; Yong Qin 002; Shengrui Wang (Informatica, 2017)

Detecting Communities of Authority and Analyzing Their Influence in Dynamic Social Networks. - Belkacem Chikhaoui; Mauricio Chiazzaro; Shengrui Wang; Martin Sotir (ACM Trans. Intell. Syst. Technol., 2017)

Survival Classification with Two-Tied Labeling of Censored Data. - Aurélien Bach; Jianfei Zhang 002; Shengrui Wang (AINA, 2018)

A Self-representation Model for Robust Clustering of Categorical Sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang; Beizhan Wang (APWeb/WAIM Workshops, 2018)

A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets. - Philippe Chatigny; Rongbo Chen; Jean-Marc Patenaude; Shengrui Wang (ICDM, 2018)

A Network-Based Approach to Enhance Electricity Load Forecasting. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (ICDM Workshops, 2018)

Collaborative text categorization via exploiting sparse coefficients. - Lina Yao 001; Quan Z. Sheng; Xianzhi Wang 001; Shengrui Wang; Xue Li 001; Sen Wang 001 (World Wide Web, 2018)

HAR-search: a method to discover hidden affinity relationships in online communities. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2019)

Time-Dependent Survival Neural Network for Remaining Useful Life Prediction. - Jianfei Zhang 002; Shengrui Wang; Lifei Chen; Gongde Guo; Rongbo Chen; Alain Vanasse (PAKDD (1), 2019)

Feature-weighted survival learning machine for COPD failure prediction. - Jianfei Zhang 002; Shengrui Wang; Josiane Courteau; Lifei Chen; Gongde Guo; Alain Vanasse (Artif. Intell. Medicine, 2019)

Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2019)

On Predicting Behavioral Deterioration in Online Discussion Forums. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2020)

A Pre-training Approach for Stance Classification in Online Forums. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2020)

Community Mining and Cross-Community Discovery in Online Social Networks. - Belkacem Chikhaoui; Jean Marie Tshimula; Shengrui Wang (NBiS, 2020)

Financial Time Series Representation Learning. - Philippe Chatigny; Jean-Marc Patenaude; Shengrui Wang (CoRR, 2020)

Survival neural networks for time-to-event prediction in longitudinal study. - Jianfei Zhang 002; Lifei Chen; Yanfang Ye 001; Gongde Guo; Rongbo Chen; Alain Vanasse; Shengrui Wang (Knowl. Inf. Syst., 2020)

A new approach for affinity relationship discovery in online forums. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (Soc. Netw. Anal. Min., 2020)

Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis. - Patrick Owusu; Armelle Brun; Shengrui Wang (ICDM (Workshops), 2021)

Neural forecasting at scale. - Philippe Chatigny; Shengrui Wang; Jean-Marc Patenaude; Boris N. Oreshkin (CoRR, 2021)

Spatiotemporal adaptive neural network for long-term forecasting of financial time series. - Philippe Chatigny; Jean-Marc Patenaude; Shengrui Wang (Int. J. Approx. Reason., 2021)

Dynamic order Markov model for categorical sequence clustering. - Rongbo Chen; Haojun Sun; Lifei Chen; Jianfei Zhang 002; Shengrui Wang (J. Big Data, 2021)

Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (ACM Trans. Intell. Syst. Technol., 2021)

Discovering Affinity Relationships between Personality Types. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (ASONAM, 2022)

Dynamic Cross-sectional Regime Identification for Financial Market Prediction. - Rongbo Chen; Kunpeng Xu 002; Jean-Marc Patenaude; Shengrui Wang (COMPSAC, 2022)

A Longitudinal Study of Customer Electricity Load Profiles. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (COMPSAC, 2022)

Emotion Detection in Law Enforcement Interviews. - Jean Marie Tshimula; Sharmistha Gray; Belkacem Chikhaoui; Shengrui Wang (COMPSAC, 2022)

Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting. - Rongbo Chen; Mingxuan Sun; Kunpeng Xu 002; Jean-Marc Patenaude; Shengrui Wang (DEXA (2), 2022)

Data-driven Kernel Subspace Clustering with Local Manifold Preservation. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (ICDM (Workshops), 2022)

Tree-Based Models for Pain Detection from Biomedical Signals. - Heng Shi; Belkacem Chikhaoui; Shengrui Wang (ICOST, 2022)

Investigating Moral Foundations from Web Trending Topics. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (NBiS, 2022)

A Multi-view Kernel Clustering framework for Categorical sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (Expert Syst. Appl., 2022)

COVID-19: Detecting depression signals during stay-at-home period. - Jean Marie Tshimula; Belkacem Chikhaoui; Shengrui Wang (Health Informatics J., 2022)

Symbolic sequence representation with Markovian state optimization. - Lifei Chen; Haiyan Wu; Wenxuan Kang; Shengrui Wang (Pattern Recognit., 2022)

Modeling of Repeated Measures for Time-to-event Prediction. - Jianfei Zhang 002; Lifei Chen; Shengrui Wang (ADMA (1), 2023)

Analysis and Comparison of Machine Learning Models for Glucose Forecasting. - Théodore Simon; Jianfei Zhang 002; Shengrui Wang (AINA (2), 2023)

Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction. - Mingxuan Sun; Rongbo Chen; Jianfei Zhang 002; Shengrui Wang (AINA (1), 2023)

Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making. - Jianfei Zhang 002; Lifei Chen; Shengrui Wang (DEXA (2), 2023)

Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data. - Patrick Asante Owusu; Etienne Gael Tajeuna; Jean-Marc Patenaude; Armelle Brun; Shengrui Wang (ICDM, 2023)

Deriving Physiological Information from PET Images Using Machine Learning. - Olfa Gassara; Belkacem Chikhaoui; Rostom Mabrouk; Shengrui Wang (ICOST, 2023)

Agitated Behaviors Detection in Children with ASD Using Wearable Data. - Imen Montassar; Belkacem Chikhaoui; Shengrui Wang (ICOST, 2023)

Characterizing Financial Market Coverage using Artificial Intelligence. - Jean Marie Tshimula; D'Jeff K. Nkashama; Patrick Owusu; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza; Armelle Brun; Jean-Marc Patenaude; Shengrui Wang; Belkacem Chikhaoui (CoRR, 2023)

DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2023)

Modeling Regime Shifts in Multiple Time Series. - Etienne Gael Tajeuna; Mohamed Bouguessa; Shengrui Wang (ACM Trans. Knowl. Discov. Data, 2023)

DB-TASNet for disease diagnosis and lesion segmentation in medical images. - Yuqing Yang; Ping He; Shengrui Wang; Yu Tian; Wei Zhang (J. Vis. Commun. Image Represent., 2023)

Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches. - Islam Eldifrawi; Shengrui Wang; Amine Trabelsi (ACL (1), 2024)

DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (Canadian AI, 2024)

FR3LS: A Forecasting Model with Robust and Reduced Redundancy Latent Series. - Abdallah Aaraba; Shengrui Wang; Jean-Marc Patenaude (PAKDD (6), 2024)

Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. - Kunpeng Xu 002; Lifei Chen; Jean-Marc Patenaude; Shengrui Wang (PAKDD (6), 2024)

QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting. - Abdallah Aaraba; Soumaya Cherkaoui; Ola Ahmad; Jean Frédéric Laprade; Olivier Nahman-Lévesque; Alexis Vieloszynski; Shengrui Wang (QCE, 2024)

RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets. - Kunpeng Xu 002; Lifei Chen; Jean-Marc Patenaude; Shengrui Wang (SDM, 2024)

LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder. - Alexis Vieloszynski; Soumaya Cherkaoui; Ola Ahmad; Jean Frédéric Laprade; Olivier Nahman-Lévesque; Abdallah Aaraba; Shengrui Wang (WF-IoT, 2024)

Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features. - Jean Marie Tshimula; D'Jeff K. Nkashama; Jean Tshibangu Muabila; René Manassé Galekwa; Hugues Kanda; Maximilien V. Dialufuma; Mbuyi Mukendi Didier; Kalala Kalonji; Serge Mundele; Patience Kinshie Lenye; Tighana Wenge Basele; Aristarque Ilunga; et al. (WISE (PhD Symposium, Demos and Workshops), 2024)

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features. - Jean Marie Tshimula; D'Jeff K. Nkashama; Jean Tshibangu Muabila; René Manassé Galekwa; Hugues Kanda; Maximilien V. Dialufuma; Mbuyi Mukendi Didier; Kalala Kalonji; Serge Mundele; Patience Kinshie Lenye; Tighana Wenge Basele; Aristarque Ilunga; et al. (CoRR, 2024)

A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting. - Pierre-Daniel Arsenault; Shengrui Wang; Jean-Marc Patenande (CoRR, 2024)

Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder. - Alexis Vieloszynski; Soumaya Cherkaoui; Jean Frédéric Laprade; Olivier Nahman-Lévesque; Abdallah Aaraba; Shengrui Wang (CoRR, 2024)

Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective. - Jean Marie Tshimula; Xavier Ndona; D'Jeff K. Nkashama; Pierre-Martin Tardif; Froduald Kabanza; Marc Frappier; Shengrui Wang (CoRR, 2024)

A machine learning based model for student's dropout prediction in online training. - Meriem Zerkouk; Miloud Mihoubi 001; Belkacem Chikhaoui; Shengrui Wang (Educ. Inf. Technol., 2024)

Successive data injection in conditional quantum GAN applied to time series anomaly detection. - Benjamin Kalfon; Soumaya Cherkaoui; Jean Frédéric Laprade; Ola Ahmad; Shengrui Wang (IET Quantum Commun., 2024)

Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series. - Wajdi Hammami; Soumaya Cherkaoui; Shengrui Wang (IWCMC, 2025)

A Hybrid Spiking Model for Anomaly Detection in Multivariate Time Series. - Wei Zhang; Ping He; Shengrui Wang; Fan Yang; Ying Liu 070 (Expert Syst. J. Knowl. Eng., 2025)

Efficient Seismic Random Noise Attenuation via KAN-Empowered Neural Low-Rank Representation. - Shengrui Wang; Yisi Luo; Sanfu Li; Jiangjun Peng; Bangyu Wu (IEEE Trans. Geosci. Remote. Sens., 2025)

CORAL: Concept Drift Representation Learning for Co-evolving Time-series. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2025)

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2025)

FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking. - Islam Eldifrawi; Shengrui Wang; Amine Trabelsi (CoRR, 2025)

A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting. - Pierre-Daniel Arsenault; Shengrui Wang; Jean-Marc Patenaude (ACM Comput. Surv., 2025)