Kun Zhang

Orcid: 0000-0002-1915-788X

Affiliations:
  • Xavier University of Louisiana, New Orleans, LA, USA


According to our database1, Kun Zhang authored at least 49 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 2024

Defense Against Adversarial Attacks for Neural Representations of Text.
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

Defending the Graph Reconstruction Attacks for Simplicial Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Simplex2vec Backward: From Vectors Back to Simplicial Complex.
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
Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Brain Functional Connectivity Analysis via Graphical Deep Learning.
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

Projection Dual Averaging Based Second-order Online Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

New Threats to Privacy-preserving Text Representations.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Proximal Cost-sensitive Sparse Group Online Learning.
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

Adaptive robust local online density estimation for streaming data.
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

Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization.
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

Multi-objective Privacy-preserving Text Representation Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

HGATs: hierarchical graph attention networks for multiple comments integration.
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

A Simple Ensemble Learning Knowledge Distillation.
Proceedings of the Machine Learning and Artificial Intelligence, 2020

Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction.
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
Bagging.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Driver gene mutations based clustering of tumors: methods and applications.
Bioinform., 2018

Online Density Estimation over Streaming Data: A Local Adaptive Solution.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning.
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
Iterative sampling based frequent itemset mining for big data.
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

RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection.
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

Generalized and Heuristic-Free Feature Construction for Improved Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
Bagging.
Proceedings of the Encyclopedia of Database Systems, 2009

Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation.
Int. J. Comput. Biol. Drug Des., 2009

Cross domain distribution adaptation via kernel mapping.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Ozone Level Detection.
Dataset, April, 2008

Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond.
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

Graph-Based Iterative Hybrid Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2006
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions.
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
Boosting in classifier fusion vs. fusing boosted classifiers.
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

Oblique decision tree induction using multimembered evolution strategies.
Proceedings of the Data Mining, 2005


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