Kun Zhang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 32

Top Topics

Top Venues

Publications

Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
Cost-sensitive sparse group online learning for imbalanced data streams. Mach. Learn. 113 (7) (2024)
Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
Defense Against Adversarial Attacks for Neural Representations of Text. HICSS (2024)
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Trans. Medical Imaging 43 (4) (2024)
Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
Robust Sparse Online Learning for Data Streams with Streaming Features. SDM (2024)
Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR (2023)
Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM (2023)
Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. Knowl. Inf. Syst. 65 (1) (2023)
Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA (2023)
Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). AAAI (2023)
Shengping Yang, Kun Zhang, Zhide Fang
Robust RNA-seq data analysis using an integrated method of ROC curve and Kolmogorov-Smirnov test. Commun. Stat. Simul. Comput. 51 (12) (2022)
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69 (5) (2022)
Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
Proximal Cost-sensitive Sparse Group Online Learning. Big Data (2022)
Zhong Chen, You Lu, Bo Cao, Wensheng Zhang, Andrea Edwards, Kun Zhang
Driver gene detection through Bayesian network integration of mutation and expression profiles. Bioinform. 38 (10) (2022)
Zhong Chen, Wensheng Zhang, Hong-Wen Deng, Kun Zhang
Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
Projection Dual Averaging Based Second-order Online Learning. ICDM (2022)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
New Threats to Privacy-preserving Text Representations. HICSS (2022)
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Zhong Chen, Zhide Fang, Victor S. Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang
Adaptive robust local online density estimation for streaming data. Int. J. Mach. Learn. Cybern. 12 (6) (2021)
Zhong Chen, Bo Cao, Andrea Edwards, Hongwen Deng, Kun Zhang
A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA. J. Bioinform. Comput. Biol. 19 (4) (2021)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK (2021)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks. ACML (2021)
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR (2021)
Zhong Chen, Zhide Fang, Victor S. Sheng, Andrea Edwards, Kun Zhang
CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data. ICBK (2021)
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
Multi-objective Privacy-preserving Text Representation Learning. CIKM (2021)
Himel Das Gupta, Kun Zhang, Victor S. Sheng
A Simple Ensemble Learning Knowledge Distillation. MLIS (2020)
Wensheng Zhang, Yan Dong, Kun Zhang
Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score. J. Bioinform. Comput. Biol. 18 (5) (2020)
Zhong Chen, Andrea Edwards, Kun Zhang
Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction. BCB (2020)
Zhong Chen, Andrea Edwards, Yongsheng Gao, Kun Zhang
Learning discriminative subregions and pattern orders for facial gender classification. Image Vis. Comput. 89 (2019)
Wensheng Zhang, Erik K. Flemington, Kun Zhang
Driver gene mutations based clustering of tumors: methods and applications. Bioinform. 34 (13) (2018)
Zhong Chen, Zhide Fang, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang
Online Density Estimation over Streaming Data: A Local Adaptive Solution. IEEE BigData (2018)
Zhong Chen, Zhide Fang, Wei Fan, Andrea Edwards, Kun Zhang
CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning. SDM (2017)
Wensheng Zhang, Andrea Edwards, Wei Fan, Erik K. Flemington, Kun Zhang
The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication. Comput. Biol. Chem. 63 (2016)
Xian Wu, Wei Fan, Jing Peng, Kun Zhang, Yong Yu
Iterative sampling based frequent itemset mining for big data. Int. J. Mach. Learn. Cybern. 6 (6) (2015)
Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang
Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. SDM (2014)
Ke Wu, Kun Zhang, Wei Fan, Andrea Edwards, Philip S. Yu
RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. ICDM (2014)
Shengping Yang, Stanley Pounds, Kun Zhang, Zhide Fang
PAIR: paired allelic log-intensity-ratio-based normalization method for SNP-CGH arrays. Bioinform. 29 (3) (2013)
Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang
Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM (2010)
Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao Zhu, Kun Zhang
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification. BMC Bioinform. 11 (2010)
Kun Zhang, Wei Fan, Prescott Deininger, Andrea Edwards, Zujia Xu, Dongxiao Zhu
Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation. Int. J. Comput. Biol. Drug Des. 2 (4) (2009)
Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure
Cross domain distribution adaptation via kernel mapping. KDD (2009)
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure
Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD (2008)
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang
Graph-Based Iterative Hybrid Feature Selection. ICDM (2008)
Kun Zhang, Wei Fan
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond. Knowl. Inf. Syst. 14 (3) (2008)
Kun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu
Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. ICDM (2006)
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. ICDM (2006)