Intra-specific competition in predator can promote the coexistence of an eco-epidemiological model with strong Allee effects in prey. - Sourav Kumar Sasmal; Yun Kang; Joydev Chattopadhyay (Biosyst., 2015)

A stochastic SIRS epidemic model with nonlinear incidence rate. - Yongli Cai; Yun Kang; Weiming Wang 001 (Appl. Math. Comput., 2017)

New and improved: grey multi-granulation rough sets. - Yun Kang; Shunxiang Wu; Yuwen Li; Wei Weng 002 (Int. J. Syst. Sci., 2017)

Multi-label learning based on label-specific features and local pairwise label correlation. - Wei Weng 002; Yaojin Lin; Shunxiang Wu; Yuwen Li; Yun Kang (Neurocomputing, 2018)

New hesitation-based distance and similarity measures on intuitionistic fuzzy sets and their applications. - Yun Kang; Shunxiang Wu; Da Cao; Wei Weng 002 (Int. J. Syst. Sci., 2018)

A variable precision grey-based multi-granulation rough set model and attribute reduction. - Yun Kang; Shunxiang Wu; Yuwen Li; Jinghua Liu; Baihua Chen (Knowl. Based Syst., 2018)

Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample. - Zhimin Zhang 006; Weitong Chen 001; Chengyu Liu 001; Yun Kang; Feng Liu 005; Yuwen Li 002; Shoushui Wei (ADMA, 2019)

Equivalence Checking Between System-Level Descriptions by Identifying Potential Cut-Points. - Jian Hu; Guanwu Wang; Guilin Chen; Yun Kang; Long Wang; Jian Ouyang (CSPS, 2019)

GWASpro: a high-performance genome-wide association analysis server. - Bongsong Kim; Xinbin Dai; Wenchao Zhang; Zhaohong Zhuang; Darlene L. Sanchez; Thomas Lübberstedt; Yun Kang; Michael K. Udvardi; William D. Beavis; Shizhong Xu; Patrick X. Zhao (Bioinform., 2019)

Product innovation and process innovation in a dynamic Stackelberg game. - Yufang Wang; Xinyu Wang 014; Shuhua Chang; Yun Kang (Comput. Ind. Eng., 2019)

Validating GCSE in the scheduling of high-level synthesis. - Jian Hu; Yongyang Hu; Long Yu; Haitao Yang 006; Yun Kang; Jie Cheng (ATS, 2020)

Formal Verification of GCSE in the Scheduling of High-level Synthesis: Work-in-Progress. - Jian Hu; Yongyang Hu; Long Yu; Wentao Wang; Haitao Yang 006; Yun Kang; Jie Cheng (CODES+ISSS, 2020)

Multi-thread Simulation-based Equivalence Checking between SIM and RTI. - Jian Hu; Yongyang Hu; Guanwu Wang; Guilin Chen; Haitao Yang 006; Yun Kang; Kang Wang (CSAE, 2020)

The fluctuation impact of human mobility on the influenza transmission. - Yongli Cai; Jiaxu Li; Yun Kang; Kai Wang 004; Weiming Wang 001 (J. Frankl. Inst., 2020)

DssEC: A Deep State Sequence Based Equivalence Checker. - Jian Hu; Yun Kang; Yongyang Hu; Haitao Yang 006; Le Tong; Jie Cheng; Junquan Deng (CSAE, 2021)

A Path-Based Equivalence Checking Method Between System Level and RTL Descriptions Using Machine Learning. - Jian Hu; Yongyang Hu; Qi Lv; Wentao Wang; Guanwu Wang; Guilin Chen; Kang Wang; Yun Kang; Haitao Yang 006 (J. Circuits Syst. Comput., 2021)

Recruitment Dynamics of Social Insect Colonies. - Tao Feng 003; Zhipeng Qiu; Yun Kang (SIAM J. Appl. Math., 2021)

A Collective Colony Migration Model with Hill Functions in Recruitment. - Lisha Wang; Zhipeng Qiu; Yun Kang (Int. J. Bifurc. Chaos, 2022)

Multi-attribute predictive analysis based on attribute-oriented fuzzy rough sets in fuzzy information systems. - Yun Kang; Bin Yu 012; Mingjie Cai (Inf. Sci., 2022)

A Hybrid Method for Equivalence Checking Between System Level and RTL. - Jian Hu; Minhui Hu; Kuang Zhao; Yun Kang; Haitao Yang 006; Jie Cheng (J. Circuits Syst. Comput., 2022)

Attribute reduction in inconsistent grey decision systems based on variable precision grey multigranulation rough set model. - Yun Kang; Jianhua Dai (Appl. Soft Comput., 2023)

A novel variable precision rough set attribute reduction algorithm based on local attribute significance. - Bin Yu 012; Yan Hu; Yun Kang; Mingjie Cai (Int. J. Approx. Reason., 2023)

A novel approach to multi-attribute predictive analysis based on rough fuzzy sets. - Yun Kang; Bin Yu 012; Zeshui Xu (Appl. Intell., 2023)

Interpretable Multiattribute Predictive Analysis Model Based on Rough Fuzzy Sets and Logistic Regression. - Yun Kang; Bin Yu 012; Zeshui Xu (IEEE Trans. Fuzzy Syst., 2023)

Time series clustering based on polynomial fitting and multi-order trend features. - Yun Kang; Chongyan Wu; Bin Yu 012 (Inf. Sci., 2024)

Exploring Collaborative Co-Signing Intelligence and Parallel Distributed Algorithms for Integrating Internal and External Documents. - Xiguo Hu; Tao Zheng; Dongliang Hou; Yun Kang (Scalable Comput. Pract. Exp., 2024)

Dynamical Behavior of a Colony Migration System: Do Colony Size and Quorum Threshold Affect Collective Decision? - Lisha Wang; Zhipeng Qiu; Takao Sasaki; Yun Kang (SIAM J. Appl. Math., 2024)

Dynamic collision estimator for collaborative robots: A dynamic Bayesian network with Markov model for highly reliable collision detection. - Junmin Park; Taehoon Kim; Chengyan Gu; Yun Kang; Joono Cheong (Robotics Comput. Integr. Manuf., 2024)

Deterministic Approximation of a Stochastic Imitation Dynamics with Memory. - Ozgur Aydogmus; Yun Kang (Dyn. Games Appl., 2024)

Impact of Intraspecific Competition of Predator on Coexistence of a Predator-Prey Model with Additive Predation on Prey. - Dingyong Bai; Mingming Xie; Jianhong Wu; Bo Zheng; Jianshe Yu; Yun Kang (SIAM J. Appl. Dyn. Syst., 2025)

Machine learning for automation usage prediction: identifying critical factors in driver decision-making. - Carlos Bustamante Orellana; Lucero Rodriguez Rodriguez; Lixiao Huang; Nancy Cooke; Yun Kang (Appl. Intell., 2025)

Noise-Tolerant Multilabel Feature Selection Based on Sample Reliability Degree and Fuzzy Association Confidence. - Yun Kang; Jiaxin Li; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2025)