KunHong Liu

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 29

Top Topics

Ensemble Pruning

Error Correcting Output Codes

Top Venues

Publications

Yuting Zhong, Bowei Yan, KunHong Liu, Yong Xu, Song He, Xiaochen Bo
A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction. BIBM (2022)
Guangyi Lin, Zi-Yang Xiao, Jia-Tong Liu, Beizhan Wang, KunHong Liu, Qingqiang Wu
Feature space and label space selection based on Error-correcting output codes for partial label learning. Inf. Sci. 589 (2022)
KunHong Liu, Xiao-Na Ye, Hong-Zhou Guo, Qingqiang Wu, Qingqi Hong
The design of soft recoding-based strategies for improving error-correcting output codes. Appl. Intell. 52 (8) (2022)
Zhan WangPing, Min Jiang, Junfeng Yao, KunHong Liu, Qingqiang Wu
The design of evolutionary feature selection operator for the micro-expression recognition. Memetic Comput. 14 (1) (2022)
Yee Siang Gan, John See, Huai-Qian Khor, KunHong Liu, Sze-Teng Liong
Needle in a Haystack: Spotting and recognising micro-expressions "in the wild". Neurocomputing 503 (2022)
KunHong Liu, Zhan WangPing, Yi-Fan Liang, Ya-Nan Zhang, Hong-Zhou Guo, Junfeng Yao, Qingqiang Wu, Qingqi Hong
The design of error-correcting output codes algorithm for the open-set recognition. Appl. Intell. 52 (7) (2022)
Jie Gao, KunHong Liu, Beizhan Wang, Dong Wang, Qingqi Hong
An improved deep forest for alleviating the data imbalance problem. Soft Comput. 25 (3) (2021)
Jiatong Liu, Changbin Pan, Dongdong Chen, WeiPing Lin, Shangyuan Feng, Sufang Qiu, Beizhan Wang, KunHong Liu
FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening. BIBM (2021)
Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong, KunHong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian
A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. BIBM (2021)
Jie Gao, KunHong Liu, Beizhan Wang, Dong Wang, Xiaoyan Zhang
Improving deep forest by ensemble pruning based on feature vectorization and quantum walks. Soft Comput. 25 (3) (2021)
Guangyi Lin, KunHong Liu, Beizhan Wang, Xiaoyan Zhang
Partial label learning based on label distributions and error-correcting output codes. Soft Comput. 25 (2) (2021)
Yifan Liang, Chang Liu, Han-Rui Wang, KunHong Liu, Jun-feng Yao, Yingying She, Guiming Dai, Yuna Okina
A novel error-correcting output codes based on genetic programming and ternary digit operators. Pattern Recognit. 110 (2021)
Qingqi Hong, Lingli Lin, Qingde Li, Ziyou Jiang, Jun Fang, Beizhan Wang, KunHong Liu, Qingqiang Wu, Chenxi Huang
A direct slicing technique for the 3D printing of implicitly represented medical models. Comput. Biol. Medicine 135 (2021)
Qingqi Hong, Qingde Li, Beizhan Wang, Jie Tian, Fei Xu, KunHong Liu, Xuan Cheng
High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations. Comput. Methods Programs Biomed. 196 (2020)
Jie Gao, Weiping Lin, KunHong Liu, Qingqi Hong, Guangyi Lin, Beizhan Wang
Imprecise Deep Forest for Partial Label Learning. IEEE Access 8 (2020)
MengXin Sun, KunHong Liu, Qingqiang Wu, Qingqi Hong, Beizhan Wang, Haiying Zhang
A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis. Pattern Recognit. 90 (2019)
Yifan Liang, Chang Liu, Hanrui Wang, KunHong Liu
The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming. ISPA/BDCloud/SocialCom/SustainCom (2019)
JiaYu Zou, KunHong Liu, YeFan Huang
A Dynamic Ensemble Selection Strategy for Improving Error Correcting Output Codes Algorithm. ISPA/BDCloud/SocialCom/SustainCom (2019)
Beizhan Wang, Qichao Ge, Qingqi Hong, Yangjing Li, KunHong Liu, Ziyou Jiang
Vascular Model Editing for 3D Printing Based on Implicit Functions. IGTA (2019)
Qingqi Hong, Qingde Li, Beizhan Wang, KunHong Liu, Quan Qi
High Precision Implicit Modeling for Patient-Specific Coronary Arteries. IEEE Access 7 (2019)
Kaijie Feng, KunHong Liu, Beizhan Wang
A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. ICIC (2) (2018)
Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang
A New ECOC Algorithm for Multiclass Microarray Data Classification. ICPR (2018)
Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang
A New ECOC Algorithm for Multiclass Microarray Data Classification. CoRR (2018)
Qingqi Hong, Qingde Li, Beizhan Wang, KunHong Liu, Fan Lin, Juncong Lin, Xuan Cheng, Zhihong Zhang, Ming Zeng
Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. Comput. Aided Geom. Des. 62 (2018)
Kaijie Feng, KunHong Liu, Beizhan Wang
A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. CoRR (2018)
Mengxin Sun, KunHong Liu, Qingqi Hong
An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities. ISCID (1) (2017)
Tianyun Zhong, Jiajun Wang, KunHong Liu, Beizhan Wang, Qingqi Hong
Multiclass Microarray Data Classification Based on SA-ECOC. ISCID (1) (2017)
HanRui Wang, KeSen Li, KunHong Liu
A Genetic Programming Based ECOC Algorithm for Microarray Data Classification. ICONIP (6) (2017)
Jiajun Wang, KunHong Liu, MengXin Sun, Qingqi Hong
Genetic Programming Based ECOC for Multiclass Microarray Data Classification. ISCID (1) (2017)
KunHong Liu, Muchenxuan Tong, Shu-Tong Xie, ZhiHao Zeng
Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets. ICIC (2) (2014)
Muchenxuan Tong, KunHong Liu, Chungui Xu, Wenbin Ju
An ensemble of SVM classifiers based on gene pairs. Comput. Biol. Medicine 43 (6) (2013)
KunHong Liu, Chun-Gui Xu
A genetic programming-based approach to the classification of multiclass microarray datasets. Bioinform. 25 (3) (2009)
Chun-Gui Xu, KunHong Liu, De-Shuang Huang
The analysis of microarray datasets using a genetic programming. CIBCB (2009)
Bo Li, De-Shuang Huang, Chao Wang, KunHong Liu
Feature extraction using constrained maximum variance mapping. Pattern Recognit. 41 (11) (2008)
Bo Li, De-Shuang Huang, KunHong Liu
Constrained Maximum Variance Mapping. IJCNN (2008)
KunHong Liu, De-Shuang Huang
Cancer classification using Rotation Forest. Comput. Biol. Medicine 38 (5) (2008)
KunHong Liu, Yong Xu, De-Shuang Huang, Min Cheng
Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm. Photonic Netw. Commun. 15 (2) (2008)
Chun-Gui Xu, KunHong Liu
A GP Based Approach to the Classification of Multiclass Microarray Datasets. ICIC (2) (2008)
KunHong Liu, De-Shuang Huang, Jun Zhang
Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation (2007)
Zhong-Hua Quan, De-Shuang Huang, KunHong Liu, Kwok-Wing Chau
A Hybrid HMM/ANN Based Approach for Online Signature Verification. IJCNN (2007)
Jun Zhang, De-Shuang Huang, KunHong Liu
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation (2007)
KunHong Liu, De-Shuang Huang, Bo Li
Improving the performance of ICA based microarray data prediction models with genetic algorithm. IEEE Congress on Evolutionary Computation (2007)
Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, KunHong Liu
Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. IJCNN (2007)
KunHong Liu, Yong Xu, De-Shuang Huang, Min Cheng
Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm CoRR (2006)
KunHong Liu, Yong Xu, De-Shuang Huang
A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation CoRR (2006)
KunHong Liu, Yong Xu
Combining GA with Splitting Methods for Rearrangeably Nonblocking Grooming of Dynamic Traffic in SONET Ring Networks. Photonic Netw. Commun. 10 (2) (2005)
KunHong Liu, Yong Xu
A new approach to improving the grooming performance with dynamic traffic in SONET rings. Comput. Networks 46 (2) (2004)