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Kun Zhang 0012
Person information
- affiliation: Xavier University of Louisiana, New Orleans, LA, USA
Other persons with the same name
- Kun Zhang — disambiguation page
- Kun Zhang 0001 — Carnegie Mellon University, Department of Philosophy, Pittsburgh, PA, USA (and 2 more)
- Kun Zhang 0002 — Taiyuan University of Technology, College of Mechanical Engineering, China
- Kun Zhang 0003 — East China Normal University, Key Laboratory of Geographic Information Science, Shanghai, China
- Kun Zhang 0004 — State University of New York at Stony Brook, Department of Physics and Astronomy, NY, USA
- Kun Zhang 0005 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Kun Zhang 0006 — Georgia Institute of Technology, Atlanta, GA, USA
- Kun Zhang 0007 — Beijing University of Technology, Key Laboratory of Advanced Manufacturing Technology, China
- Kun Zhang 0008 — Air Force Engineering University, Information and Navigation College, Xian, China
- Kun Zhang 0009 — Xidian University, National Laboratory of Radar Signal Processing, China
- Kun Zhang 0010 — Nantong University, School of Electrical Engineering, China
- Kun Zhang 0011 — Hainan University, State Key Laboratory of Marine Resource Utilization in South China Sea, Haikou, China
- Kun Zhang 0013 — Shandong University, Jinan, China (and 1 more)
- Kun Zhang 0014 — University of Colorado at Boulder, Boulder, CO, USA
- Kun Zhang 0015 — Hefei University of Technology, School of Computer Science and Information Engineering, Key Laboratory of Knowledge Engineering with Big Data, Hefei, China (and 1 more)
- Kun Zhang 0016 — University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
- Kun Zhang 0017 — Hong Kong University of Science and Technology, Hong Kong (and 1 more)
- Kun Zhang 0018 — Northwestern Polytechnical University, School of Astronautics, Shaanxi Aerospace Flight Vehicle Design Key Laboratory, Xi'an, China
- Kun Zhang 0019 — Southeast University, School of Economics and Management, Nanjing, China
- Kun Zhang 0020 — University of California San Diego, Department of Bioengineering, La Jolla, CA, USA
- Kun Zhang 0021 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Kun Zhang 0022 — Shenyang University of Technology, School of Materials Science and Engineering, China
- Kun Zhang 0023 — Shaanxi Provincial Tumor Hospital, Xi'an, China
- Kun Zhang 0024 — Chinese Academy of Sciences, Institute of Tibetan Plateau Research, Beijing, China (and 1 more)
- Kun Zhang 0025 — University of Science and Technology of China, CAS Key Laboratory of Wireless-Optical Communications, Hefei, China
- Kun Zhang 0026 — Shandong University of Science and Technology, College of Mechanical and Electronic Engineering, Qingdao, China (and 2 more)
- Kun Zhang 0027 — Huaqiao University, College of Tourism, Quanzhou, China
- Kun Zhang 0028 — University of Science and Technology of China, Department of Automation, Hefei, China
- Kun Zhang 0029 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Kun Zhang 0030 — Beihang University, Fert Beijing Research Institute, Beijing, China (and 2 more)
- Kun Zhang 0031 — Central China Normal University, National Engineering Laboratory for Educational Big Data and the National Engineering Research Center for E-Learning, Wuhan, China
- Kun Zhang 0032 — Luoyang Polytechnic, School of Automotive and Rail Transportation, Luoyang, China
- Kun Zhang 0033 — South China University of Technology, School of Electronics and Information Engineering, Guangzhou, China
- Kun Zhang 0034 — Xi'an Peihua University, School of Communication, Xi'an, China
- Kun Zhang 0035 — Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China
- Kun Zhang 0036 — Renmin University of China, Institute of Statistics and Big Data, Beijing, China (and 1 more)
- Kun Zhang 0037 — Zhejiang Lab, Hangzhou, China
- Kun Zhang 0038 — Shandong University of Science and Technology, College of Intelligent Equipment, Tai'an, China
- Kun Zhang 0039 — Liaoning University, School of Mathematics, Shenyang, China
- Kun Zhang 0040 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 1 more)
- Kun Zhang 0041 — Chinese Academy of Sciences, Data Intelligence System Research Center, Institute of Computing Technology, China (and 1 more)
- Kun Zhang 0042 — Chinese Academy of Sciences, Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS, Hefei, China (and 1 more)
- Kun Zhang 0043 — Google Inc., Google Health, Mountain View, CA, USA
- Kun Zhang 0044 — University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, Chengdu, China
Other persons with a similar name
- Zhang Kun
- Kem Z. K. Zhang (aka: Kem Zi Kun Zhang)
- Kun-Lun Zhang
- Kun-Shan Zhang
- Kun-feng Zhang
- Kun Qi Zhang
- Kun Qiu Zhang
- Kunpeng Zhang (aka: Kun-Peng Zhang)
- Yu-kun Zhang
- Zhen-Kun Zhang
- show all similar names
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2020 – today
- 2024
- [j19]Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Cost-sensitive sparse group online learning for imbalanced data streams. Mach. Learn. 113(7): 4407-4444 (2024) - [j18]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): 1568-1578 (2024) - [c28]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defense Against Adversarial Attacks for Neural Representations of Text. HICSS 2024: 7592-7601 - [c27]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: 181-189 - 2023
- [j17]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): 59-87 (2023) - [c26]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: 16380-16381 - [c25]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM 2023: 4405-4409 - [c24]Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA 2023: 1-9 - [i2]Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR abs/2302.04373 (2023) - 2022
- [j16]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): 2781-2790 (2022) - [j15]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): 7444-7457 (2022) - [j14]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): 1696-1706 (2022) - [j13]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): 107-120 (2022) - [c23]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Proximal Cost-sensitive Sparse Group Online Learning. IEEE Big Data 2022: 495-504 - [c22]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
New Threats to Privacy-preserving Text Representations. HICSS 2022: 1-10 - [c21]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Projection Dual Averaging Based Second-order Online Learning. ICDM 2022: 51-60 - 2021
- [j12]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): 2150016:1-2150016:20 (2021) - [j11]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): 1803-1824 (2021) - [j10]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): 3564-3573 (2021) - [c20]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
K2-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks. ACML 2021: 1477-1492 - [c19]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
HGATs: hierarchical graph attention networks for multiple comments integration. ASONAM 2021: 159-163 - [c18]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Multi-objective Privacy-preserving Text Representation Learning. CIKM 2021: 3612-3616 - [c17]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: 164-173 - [c16]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK 2021: 323-330 - [i1]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 abs/2101.08316 (2021) - 2020
- [j9]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): 2050032:1-2050032:10 (2020) - [c15]Zhong Chen, Andrea Edwards, Kun Zhang:
Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction. BCB 2020: 10:1-10:8 - [c14]Himel Das Gupta, Kun Zhang, Victor S. Sheng:
A Simple Ensemble Learning Knowledge Distillation. MLIS 2020: 165-171
2010 – 2019
- 2019
- [j8]Zhong Chen, Andrea Edwards, Yongsheng Gao, Kun Zhang:
Learning discriminative subregions and pattern orders for facial gender classification. Image Vis. Comput. 89: 144-157 (2019) - 2018
- [j7]Wensheng Zhang, Erik K. Flemington, Kun Zhang:
Driver gene mutations based clustering of tumors: methods and applications. Bioinform. 34(13): i404-i411 (2018) - [c13]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: 201-210 - [r2]Wei Fan, Kun Zhang:
Bagging. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [c12]Zhong Chen, Zhide Fang, Wei Fan, Andrea Edwards, Kun Zhang:
CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning. SDM 2017: 759-767 - 2016
- [j6]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: 3-14 (2016) - 2015
- [j5]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): 875-882 (2015) - 2014
- [c11]Ke Wu, Kun Zhang, Wei Fan, Andrea Edwards, Philip S. Yu:
RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. ICDM 2014: 600-609 - [c10]Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang:
Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. SDM 2014: 722-730 - 2013
- [j4]Shengping Yang, Stanley Pounds, Kun Zhang, Zhide Fang:
PAIR: paired allelic log-intensity-ratio-based normalization method for SNP-CGH arrays. Bioinform. 29(3): 299-307 (2013) - 2010
- [j3]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: 338 (2010) - [c9]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: 629-640
2000 – 2009
- 2009
- [j2]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): 302-322 (2009) - [c8]Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure:
Cross domain distribution adaptation via kernel mapping. KDD 2009: 1027-1036 - [r1]Wei Fan, Kun Zhang:
Bagging. Encyclopedia of Database Systems 2009: 206-210 - 2008
- [j1]Kun Zhang, Wei Fan:
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond. Knowl. Inf. Syst. 14(3): 299-326 (2008) - [c7]ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang:
Graph-Based Iterative Hybrid Feature Selection. ICDM 2008: 1133-1138 - [c6]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: 230-238 - [d1]Kun Zhang, Wei Fan, Xiaojing Yuan:
Ozone Level Detection. UCI Machine Learning Repository, 2008 - 2006
- [c5]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: 741-752 - [c4]Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li:
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. ICDM 2006: 753-764 - 2005
- [c3]Kun Zhang, Zujia Xu, Bill P. Buckles:
Oblique decision tree induction using multimembered evolution strategies. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 263-270 - [c2]Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles:
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. ICDM 2005: 817-820 - [c1]Costin Barbu, Kun Zhang, Jing Peng, Bill P. Buckles:
Boosting in classifier fusion vs. fusing boosted classifiers. IRI 2005: 332-337
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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