Kun Zhang
Orcid: 0000-0002-1915-788XAffiliations:
- Xavier University of Louisiana, New Orleans, LA, USA
According to our database1,
Kun Zhang
authored at least 52 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Mach. Learn., July, 2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 2024
FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text.
CoRR, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection.
Knowl. Inf. Syst., January, 2023
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE Trans. Biomed. Eng., 2022
Robust RNA-seq data analysis using an integrated method of ROC curve and Kolmogorov-Smirnov test.
Commun. Stat. Simul. Comput., 2022
Driver gene detection through Bayesian network integration of mutation and expression profiles.
Bioinform., 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng., 2021
Int. J. Mach. Learn. Cybern., 2021
A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA.
J. Bioinform. Comput. Biol., 2021
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
K<sup>2</sup>-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks.
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score.
J. Bioinform. Comput. Biol., 2020
Proceedings of the Machine Learning and Artificial Intelligence, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Learning discriminative subregions and pattern orders for facial gender classification.
Image Vis. Comput., 2019
2018
Bioinform., 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
2016
The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication.
Comput. Biol. Chem., 2016
2015
Int. J. Mach. Learn. Cybern., 2015
2014
Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
PAIR: paired allelic log-intensity-ratio-based normalization method for SNP-CGH arrays.
Bioinform., 2013
2010
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification.
BMC Bioinform., 2010
Proceedings of the SIAM International Conference on Data Mining, 2010
2009
Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation.
Int. J. Comput. Biol. Drug Des., 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
2008
Knowl. Inf. Syst., 2008
Direct mining of discriminative and essential frequent patterns via model-based search tree.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the Data Mining, 2005