Kun Zhang - RankMe

59 papers A* 9A 6B 3C 1Misc 1Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards efficient optimization of multi-agent social simulation via large language models. Int. J. Mach. Learn. Cybern. Kun Zhang, Xiaoyan Yu, Hao Peng, Zhe Yang, Ye Tian, Hao Jin, Tuoyu Feng, Hui Lin
2025	—	`conf`	ComplexWaveGAT: Complex-Valued Graph Attention Networks for Modeling Protein-Protein Interactions. BIBM Liyuan Gao, Xin Zhang, Kun Zhang, Victor S. Sheng
2025	J	`jnl`	Decoding ancestry-specific genetic risk: interpretable deep feature selection reveals prostate cancer SNP disparities in diverse populations. BioData Min. Zhong Chen, Zichen Lao, You Lu, Wensheng Zhang, Andrea Edwards, Kun Zhang
2025	—	`conf`	SocialED: A Python Library for Social Event Detection. APWeb-WAIM (4) Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2024	J	`jnl`	Cost-sensitive sparse group online learning for imbalanced data streams. Mach. Learn. Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
2024	—	`conf`	Defense Against Adversarial Attacks for Neural Representations of Text. HICSS Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
2024	J	`jnl`	FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text. CoRR Zhenyu Xu, Kun Zhang, Victor S. Sheng
2024	J	`jnl`	Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Trans. Medical Imaging Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2024	J	`jnl`	Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks. CoRR Zhenyu Xu, Kun Zhang, Victor S. Sheng
2024	A	`conf`	Robust Sparse Online Learning for Data Streams with Streaming Features. SDM Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
2024	J	`jnl`	SocialED: A Python Library for Social Event Detection. CoRR Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2023	J	`jnl`	An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. Knowl. Inf. Syst. Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
2023	B	`conf`	Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
2023	A*	`conf`	Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). AAAI Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
2023	J	`jnl`	Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
2023	A	`conf`	Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
2022	J	`jnl`	Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
2022	J	`jnl`	Driver gene detection through Bayesian network integration of mutation and expression profiles. Bioinform. Zhong Chen, You Lu, Bo Cao, Wensheng Zhang, Andrea Edwards, Kun Zhang
2022	J	`jnl`	Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs. IEEE ACM Trans. Comput. Biol. Bioinform. Zhong Chen, Wensheng Zhang, Hong-Wen Deng, Kun Zhang
2022	—	`conf`	New Threats to Privacy-preserving Text Representations. HICSS Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2022	A*	`conf`	Projection Dual Averaging Based Second-order Online Learning. ICDM Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
2022	B	`conf`	Proximal Cost-sensitive Sparse Group Online Learning. IEEE Big Data Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
2022	J	`jnl`	Robust RNA-seq data analysis using an integrated method of ROC curve and Kolmogorov-Smirnov test. Commun. Stat. Simul. Comput. Shengping Yang, Kun Zhang, Zhide Fang
2021	J	`jnl`	A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA. J. Bioinform. Comput. Biol. Zhong Chen, Bo Cao, Andrea Edwards, Hongwen Deng, Kun Zhang
2021	J	`jnl`	Adaptive robust local online density estimation for streaming data. Int. J. Mach. Learn. Cybern. Zhong Chen, Zhide Fang, Victor S. Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang
2021	—	`conf`	CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data. ICBK Zhong Chen, Zhide Fang, Victor S. Sheng, Andrea Edwards, Kun Zhang
2021	J	`jnl`	Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2021	J	`jnl`	Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2021	—	`conf`	Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021	B	`conf`	HGATs: hierarchical graph attention networks for multiple comments integration. ASONAM Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021	C	`conf`	K ACML Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021	A	`conf`	Multi-objective Privacy-preserving Text Representation Learning. CIKM Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2020	—	`conf`	A Simple Ensemble Learning Knowledge Distillation. MLIS Himel Das Gupta, Kun Zhang, Victor S. Sheng
2020	—	`conf`	Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction. BCB Zhong Chen, Andrea Edwards, Kun Zhang
2020	J	`jnl`	Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score. J. Bioinform. Comput. Biol. Wensheng Zhang, Yan Dong, Kun Zhang
2019	J	`jnl`	Learning discriminative subregions and pattern orders for facial gender classification. Image Vis. Comput. Zhong Chen, Andrea Edwards, Yongsheng Gao, Kun Zhang
2018	—	`ch.`	Bagging. Encyclopedia of Database Systems (2nd ed.) Wei Fan, Kun Zhang
2018	J	`jnl`	Driver gene mutations based clustering of tumors: methods and applications. Bioinform. Wensheng Zhang, Erik K. Flemington, Kun Zhang
2018	—	`conf`	Online Density Estimation over Streaming Data: A Local Adaptive Solution. IEEE BigData Zhong Chen, Zhide Fang, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang
2017	A	`conf`	CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning. SDM Zhong Chen, Zhide Fang, Wei Fan, Andrea Edwards, Kun Zhang
2016	J	`jnl`	The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication. Comput. Biol. Chem. Wensheng Zhang, Andrea Edwards, Wei Fan, Erik K. Flemington, Kun Zhang
2015	J	`jnl`	Iterative sampling based frequent itemset mining for big data. Int. J. Mach. Learn. Cybern. Xian Wu, Wei Fan, Jing Peng, Kun Zhang, Yong Yu
2014	A	`conf`	Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. SDM Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang
2014	A*	`conf`	RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. ICDM Ke Wu, Kun Zhang, Wei Fan, Andrea Edwards, Philip S. Yu
2013	J	`jnl`	PAIR: paired allelic log-intensity-ratio-based normalization method for SNP-CGH arrays. Bioinform. Shengping Yang, Stanley Pounds, Kun Zhang, Zhide Fang
2010	J	`jnl`	A programming remediation plan. J. Comput. Sci. Coll. Andrea Edwards, Kun Zhang
2010	A	`conf`	Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang
2010	J	`jnl`	svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification. BMC Bioinform. Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao Zhu, Kun Zhang
2009	—	`ch.`	Bagging. Encyclopedia of Database Systems Wei Fan, Kun Zhang
2009	J	`jnl`	Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation. Int. J. Comput. Biol. Drug Des. Kun Zhang, Wei Fan, Prescott Deininger, Andrea Edwards, Zujia Xu, Dongxiao Zhu
2009	A*	`conf`	Cross domain distribution adaptation via kernel mapping. KDD Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure
2008	A*	`conf`	Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure
2008	J	`jnl`	Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond. Knowl. Inf. Syst. Kun Zhang, Wei Fan
2008	A*	`conf`	Graph-Based Iterative Hybrid Feature Selection. ICDM Erheng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang
2006	A*	`conf`	Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. ICDM Kun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu
2006	A*	`conf`	Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. ICDM Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li
2005	Misc	`conf`	Boosting in classifier fusion vs. fusing boosted classifiers. IRI Costin Barbu, Kun Zhang, Jing Peng, Bill P. Buckles
2005	A*	`conf`	Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. ICDM Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
2005	—	`conf`	Oblique decision tree induction using multimembered evolution strategies. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security Kun Zhang, Zujia Xu, Bill P. Buckles