Shengrui Wang

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 67

Top Venues

Grenoble Institute of Technology, France (PHD)

Education History

Grenoble Institute of Technology, France

PHD

Publications

Pierre-Daniel Arsenault, Shengrui Wang, Jean-Marc Patenande
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting. CoRR (2024)
Islam Eldifrawi, Shengrui Wang, Amine Trabelsi
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches. ACL (1) (2024)
Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang
RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets. SDM (2024)
Abdallah Aaraba, Shengrui Wang, Jean-Marc Patenaude
LS: A Forecasting Model with Robust and Reduced Redundancy Latent Series. PAKDD (6) (2024)
Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang
Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. PAKDD (6) (2024)
Islam Eldifrawi, Shengrui Wang, Amine Trabelsi
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches. CoRR (2024)
Kunpeng Xu, Lifei Chen, Shengrui Wang
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability. CoRR (2024)
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, Christian N. Mayemba, Nathanaël M. Kasoro, Selain K. Kasereka, Hardy Mikese, Pierre-Martin Tardif, Marc Frappier, Froduald Kabanza, Belkacem Chikhaoui, Shengrui Wang, Ali Mulenda Sumbu, Xavier Ndona, Raoul Kienge-Kienge Intudi
Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features. CoRR (2024)
Yuqing Yang, Ping He, Shengrui Wang, Yu Tian, Wei Zhang
DB-TASNet for disease diagnosis and lesion segmentation in medical images. J. Vis. Commun. Image Represent. 95 (2023)
Kunpeng Xu, Lifei Chen, Shengrui Wang
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning. CoRR (2023)
Jianfei Zhang, Lifei Chen, Shengrui Wang
Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making. DEXA (2) (2023)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Modeling Regime Shifts in Multiple Time Series. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Benjamin Kalfon, Soumaya Cherkaoui, Jean Frédéric Laprade, Ola Ahmad, Shengrui Wang
Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection. CoRR (2023)
Patrick Asante Owusu, Etienne Gael Tajeuna, Jean-Marc Patenaude, Armelle Brun, Shengrui Wang
Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data. ICDM (2023)
Théodore Simon, Jianfei Zhang, Shengrui Wang
Analysis and Comparison of Machine Learning Models for Glucose Forecasting. AINA (2) (2023)
Jianfei Zhang, Lifei Chen, Shengrui Wang
Modeling of Repeated Measures for Time-to-event Prediction. ADMA (1) (2023)
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
Characterizing Financial Market Coverage using Artificial Intelligence. CoRR (2023)
Mingxuan Sun, Rongbo Chen, Jianfei Zhang, Shengrui Wang
Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction. AINA (1) (2023)
Kunpeng Xu, Lifei Chen, Shengrui Wang
Data-driven Kernel Subspace Clustering with Local Manifold Preservation. ICDM (Workshops) (2022)
Kunpeng Xu, Lifei Chen, Shengrui Wang
A Multi-view Kernel Clustering framework for Categorical sequences. Expert Syst. Appl. 197 (2022)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
Discovering Affinity Relationships between Personality Types. ASONAM (2022)
Rongbo Chen, Mingxuan Sun, Kunpeng Xu, Jean-Marc Patenaude, Shengrui Wang
Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting. DEXA (2) (2022)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
Investigating Moral Foundations from Web Trending Topics. NBiS (2022)
Rongbo Chen, Kunpeng Xu, Jean-Marc Patenaude, Shengrui Wang
Dynamic Cross-sectional Regime Identification for Financial Market Prediction. COMPSAC (2022)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
COVID-19: Detecting depression signals during stay-at-home period. Health Informatics J. 28 (2) (2022)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
A Longitudinal Study of Customer Electricity Load Profiles. COMPSAC (2022)
Jean Marie Tshimula, Sharmistha Gray, Belkacem Chikhaoui, Shengrui Wang
Emotion Detection in Law Enforcement Interviews. COMPSAC (2022)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
Discovering Affinity Relationships between Personality Types. CoRR (2022)
Lifei Chen, Haiyan Wu, Wenxuan Kang, Shengrui Wang
Symbolic sequence representation with Markovian state optimization. Pattern Recognit. 131 (2022)
Heng Shi, Belkacem Chikhaoui, Shengrui Wang
Tree-Based Models for Pain Detection from Biomedical Signals. ICOST (2022)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting. ACM Trans. Intell. Syst. Technol. 12 (4) (2021)
Philippe Chatigny, Jean-Marc Patenaude, Shengrui Wang
Spatiotemporal adaptive neural network for long-term forecasting of financial time series. Int. J. Approx. Reason. 132 (2021)
Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude, Boris N. Oreshkin
Neural forecasting at scale. CoRR (2021)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Modeling Regime Shifts in Multiple Time Series. CoRR (2021)
Patrick Owusu, Armelle Brun, Shengrui Wang
Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis. ICDM (Workshops) (2021)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
COVID-19: Detecting Depression Signals during Stay-At-Home Period. CoRR (2021)
Rongbo Chen, Haojun Sun, Lifei Chen, Jianfei Zhang, Shengrui Wang
Dynamic order Markov model for categorical sequence clustering. J. Big Data 8 (1) (2021)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
Investigating Moral Foundations from Web Trending Topics. CoRR (2021)
Jianfei Zhang, Lifei Chen, Yanfang Ye, Gongde Guo, Rongbo Chen, Alain Vanasse, Shengrui Wang
Survival neural networks for time-to-event prediction in longitudinal study. Knowl. Inf. Syst. 62 (9) (2020)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
A Pre-training Approach for Stance Classification in Online Forums. ASONAM (2020)
Philippe Chatigny, Jean-Marc Patenaude, Shengrui Wang
Financial Time Series Representation Learning. CoRR (2020)
Belkacem Chikhaoui, Jean Marie Tshimula, Shengrui Wang
Community Mining and Cross-Community Discovery in Online Social Networks. NBiS (2020)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
On Predicting Behavioral Deterioration in Online Discussion Forums. ASONAM (2020)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
A new approach for affinity relationship discovery in online forums. Soc. Netw. Anal. Min. 10 (1) (2020)
Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, Gongde Guo, Alain Vanasse
Feature-weighted survival learning machine for COPD failure prediction. Artif. Intell. Medicine 96 (2019)
Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. CoRR (2019)
Jianfei Zhang, Shengrui Wang, Lifei Chen, Gongde Guo, Rongbo Chen, Alain Vanasse
Time-Dependent Survival Neural Network for Remaining Useful Life Prediction. PAKDD (1) (2019)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
HAR-search: a method to discover hidden affinity relationships in online communities. ASONAM (2019)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
A Network-Based Approach to Enhance Electricity Load Forecasting. ICDM Workshops (2018)
Kunpeng Xu, Lifei Chen, Shengrui Wang, Beizhan Wang
A Self-representation Model for Robust Clustering of Categorical Sequences. APWeb/WAIM Workshops (2018)
Aurélien Bach, Jianfei Zhang, Shengrui Wang
Survival Classification with Two-Tied Labeling of Censored Data. AINA (2018)
Philippe Chatigny, Rongbo Chen, Jean-Marc Patenaude, Shengrui Wang
A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets. ICDM (2018)
Lina Yao, Quan Z. Sheng, Xianzhi Wang, Shengrui Wang, Xue Li, Sen Wang
Collaborative text categorization via exploiting sparse coefficients. World Wide Web 21 (2) (2018)
Jean-Pierre Séhi Glouzon, Jean-Pierre Perreault, Shengrui Wang
The super-n-motifs model: a novel alignment-free approach for representing and comparing RNA secondary structures. Bioinform. 33 (8) (2017)
Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. DSAA (2017)
Jianfei Zhang, Lifei Chen, Aurélien Bach, Josiane Courteau, Alain Vanasse, Shengrui Wang
Sequential Representation of Clinical Data for Full-Fitting Survival Prediction. AINA Workshops (2017)
Haojun Sun, Rongbo Chen, Yong Qin, Shengrui Wang
Holo-Entropy Based Categorical Data Hierarchical Clustering. Informatica 28 (2) (2017)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Survival analysis for modeling critical events that communities may undergo in dynamic social networks. SAC (2017)
Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari
Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Min. Knowl. Discov. 31 (2) (2017)
Joël Lafond-Lapalme, Marc-Olivier Duceppe, Shengrui Wang, Peter Moffett, Benjamin Mimee
A new method for decontamination of de novo transcriptomes using a hierarchical clustering algorithm. Bioinform. 33 (9) (2017)
Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang, Martin Sotir
Detecting Communities of Authority and Analyzing Their Influence in Dynamic Social Networks. ACM Trans. Intell. Syst. Technol. 8 (6) (2017)
Jean-Pierre Séhi Glouzon, Jean-Pierre Perreault, Shengrui Wang
Structurexplor: a platform for the exploration of structural features of RNA secondary structures. Bioinform. 33 (19) (2017)
Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, Aurélien Bach, Alain Vanasse
Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data. ICDM (2016)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Tracking Communities over Time in Dynamic Social Network. MLDM (2016)
Lifei Chen, Shengrui Wang, Kaijun Wang, Jianping Zhu
Soft subspace clustering of categorical data with probabilistic distance. Pattern Recognit. 51 (2016)
Jianfei Zhang, Lifei Chen, Alain Vanasse, Josiane Courteau, Shengrui Wang
Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data. AAAI (2016)
Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang
A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP. AAAI (2015)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Tracking the evolution of community structures in time-evolving social networks. DSAA (2015)
Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang
Discovering and tracking influencer-influencee relationships between online communities. DSAA (2015)
Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang
A Novel Variable-order Markov Model for Clustering Categorical Sequences. IEEE Trans. Knowl. Data Eng. 26 (10) (2014)
Lifei Chen, Gongde Guo, Shengrui Wang, Xiangzeng Kong
Kernel learning method for distance-based classification of categorical data. UKCI (2014)
Belkacem Chikhaoui, Shengrui Wang, Tengke Xiong, Hélène Pigot
Pattern-based causal relationships discovery from event sequences for modeling behavioral user profile in ubiquitous environments. Inf. Sci. 285 (2014)
Emilie Au, Mohamed Bouguessa, Shengrui Wang
Document Modeling Using Syntactic and Semantic Information. AINA Workshops (2013)
Lifei Chen, Shengrui Wang
Central Clustering of Categorical Data with Automated Feature Weighting. IJCAI (2013)
Belkacem Chikhaoui, Shengrui Wang, Hélène Pigot
Causality-Based Model for User Profile Construction from Behavior Sequences. AINA (2013)
Alexei Nordell Markovits, Charles Joly Beauparlant, Dominique Toupin, Shengrui Wang, Arnaud Droit, Nicolas Gevry
NGS++: a library for rapid prototyping of epigenomics software tools. Bioinform. 29 (15) (2013)
Simon Renaud-Deputter, Tengke Xiong, Shengrui Wang
Combining Collaborative Filtering and Clustering for Implicit Recommender System. AINA (2013)
Shu Wu, Shengrui Wang
Information-Theoretic Outlier Detection for Large-Scale Categorical Data. IEEE Trans. Knowl. Data Eng. 25 (3) (2013)
Tengke Xiong, Shengrui Wang, André Mayers, Ernest Monga
Personal bankruptcy prediction by mining credit card data. Expert Syst. Appl. 40 (2) (2013)
V. D'Orangeville, André Mayers, Ernest Monga, Shengrui Wang
Efficient Cluster Labeling for Support Vector Clustering. IEEE Trans. Knowl. Data Eng. 25 (11) (2013)
Tengke Xiong, Shengrui Wang, André Mayers, Ernest Monga
DHCC: Divisive hierarchical clustering of categorical data. Data Min. Knowl. Discov. 24 (1) (2012)
Lifei Chen, Shengrui Wang
Semi-naive Bayesian Classification by Weighted Kernel Density Estimation. ADMA (2012)
Lifei Chen, Gongde Guo, Shengrui Wang
Nearest Neighbor Classification by Partially Fuzzy Clustering. AINA Workshops (2012)
Belkacem Chikhaoui, Shengrui Wang, Hélène Pigot
A new statistical model for activity discovery and recognition in pervasive environments. ICPR (2012)
Lifei Chen, Shengrui Wang
Automated feature weighting in naive bayes for high-dimensional data classification. CIKM (2012)
Dan Wei, Qingshan Jiang, Yanjie Wei, Shengrui Wang
A novel hierarchical clustering algorithm for gene sequences. BMC Bioinform. 13 (2012)
Lifei Chen, Qingshan Jiang, Shengrui Wang
Model-Based Method for Projective Clustering. IEEE Trans. Knowl. Data Eng. 24 (7) (2012)
Belkacem Chikhaoui, Shengrui Wang, Hélène Pigot
Towards causal models for building behavioral user profile in ubiquitous computing applications. UbiComp (2012)
Lifei Chen, Shengrui Wang, Xuanhui Yan
Centroid-based clustering for graph datasets. ICPR (2012)
Belkacem Chikhaoui, Shengrui Wang, Hélène Pigot
ADR-SPLDA: Activity discovery and recognition by combining sequential patterns and latent Dirichlet allocation. Pervasive Mob. Comput. 8 (6) (2012)
Hongbo Ni, Bessam Abdulrazak, Daqing Zhang, Shu Wu, Zhiwen Yu, Xingshe Zhou, Shengrui Wang
Towards non-intrusive sleep pattern recognition in elder assistive environment. J. Ambient Intell. Humaniz. Comput. 3 (2) (2012)
Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang
A New Markov Model for Clustering Categorical Sequences. ICDM (2011)
Belkacem Chikhaoui, Shengrui Wang, Hélène Pigot
A Frequent Pattern Mining Approach for ADLs Recognition in Smart Environments. AINA (2011)
Yanping Lu, Shengrui Wang, Shaozi Li, Changle Zhou
Particle swarm optimizer for variable weighting in clustering high-dimensional data. Mach. Learn. 82 (1) (2011)
Belkacem Chikhaoui, Shengrui Wang, Hélène Pigot
Activity Recognition in Smart Environments: An Information Retrieval Problem. ICOST (2011)
Belkacem Chikhaoui, Mauricio Chiazzaro, Shengrui Wang
An Improved Hybrid Recommender System by Combining Predictions. AINA Workshops (2011)
Shu Wu, Shengrui Wang
Parameter-Free Anomaly Detection for Categorical Data. MLDM (2011)
Tengke Xiong, Shengrui Wang, André Mayers, Ernest Monga
Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data. PAKDD (1) (2011)
Haojun Sun, Shengrui Wang
Measuring the component overlapping in the Gaussian mixture model. Data Min. Knowl. Discov. 23 (3) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shengrui Wang