Kun-Hong Liu

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 24

Top Topics

Transfer Learning

Genetic Algorithm

Speech Emotion Recognition

Error Correcting

Top Venues

Swarm Evol. Comput.

Publications

Kun-Hong Liu, Jie Gao, Yong Xu, Kaijie Feng, Xiao-Na Ye, Sze-Teng Liong, Li-Yan Chen
A novel soft-coded error-correcting output codes algorithm. Pattern Recognit. 134 (2023)
Xin-Cheng Wen, Jia-Xin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition. CoRR (2022)
Xin-Cheng Wen, Jia-Xin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition. IJCAI (2022)
Jia-Xin Ye, Xin-Cheng Wen, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kun-Hong Liu
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition. CoRR (2022)
Mengxin Sun, Sze-Teng Liong, Kun-Hong Liu, Qingqiang Wu
The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition. Appl. Intell. 52 (14) (2022)
Weiping Lin, Lianlian Wu, Yixin Zhang, Yuqi Wen, Bowei Yan, Chong Dai, Kun-Hong Liu, Song He, Xiaochen Bo
An enhanced cascade-based deep forest model for drug combination prediction. Briefings Bioinform. 23 (2) (2022)
Shu-Tong Xie, Qiong Chen, Kun-Hong Liu, Qingzhao Kong, Xiu-juan Cao
Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses. Sci. Program. 2021 (2021)
Anfernee Joan B. Ng, Kun-Hong Liu
The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition. Sci. Program. 2021 (2021)
Kun-Hong Liu, Qiu-Shi Jin, Huang-Chao Xu, Yee Siang Gan, Sze-Teng Liong
Micro-expression recognition using advanced genetic algorithm. Signal Process. Image Commun. 93 (2021)
JiaYu Zou, Mengxin Sun, Kun-Hong Liu, Qingqiang Wu
The design of dynamic ensemble selection strategy for the error-correcting output codes family. Inf. Sci. 571 (2021)
Xin-Cheng Wen, Kun-Hong Liu, Wei-Ming Zhang, Kai Jiang
The Application of Capsule Neural Network Based CNN for Speech Emotion Recognition. ICPR (2020)
Xiao-Na Ye, Kun-Hong Liu, Sze-Teng Liong
A ternary bitwise calculator based genetic algorithm for improving error correcting output codes. Inf. Sci. 537 (2020)
Kaijie Feng, Sze-Teng Liong, Kun-Hong Liu
The design of variable-length coding matrix for improving error correcting output codes. Inf. Sci. 534 (2020)
Yu-Ping Zhang, Xiao-Na Ye, Kun-Hong Liu, Jun-Feng Yao
A novel multi-objective genetic algorithm based error correcting output codes. Swarm Evol. Comput. 57 (2020)
Sze-Teng Liong, Yee Siang Gan, Danna Zheng, Shu-Meng Lic, Hao-Xuan Xua, Han-Zhe Zhang, Ran-Ke Lyu, Kun-Hong Liu
Evaluation of the Spatio-Temporal Features and GAN for Micro-Expression Recognition System. J. Signal Process. Syst. 92 (7) (2020)
Sze-Teng Liong, Yee Siang Gan, Yen-Chang Huang, Kun-Hong Liu, Wei-Chuen Yau
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification. CoRR (2019)
Kun-Hong Liu, Vincent To-Yee Ng, Sze-Teng Liong, Qingqi Hong
Microarray Data Classification Based on Computational Verb. IEEE Access 7 (2019)
Sze-Teng Liong, Yee Siang Gan, Danna Zheng, Shu-Meng Lic, Hao-Xuan Xua, Han-Zhe Zhang, Ran-Ke Lyu, Kun-Hong Liu
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System. CoRR (2019)
Yu-Ping Zhang, Kun-Hong Liu
A Novel Genetic Algorithm Approach to Improving Error Correction Output Coding. KSEM (2) (2019)
Ke-Sen Li, Han-Rui Wang, Kun-Hong Liu
A novel Error-Correcting Output Codes algorithm based on genetic programming. Swarm Evol. Comput. 50 (2019)
Sze-Teng Liong, Yee Siang Gan, Kun-Hong Liu, Tran Quang Binh, Cong Tue Le, Chien-An Wu, Cheng-Yan Yang, Yen-Chang Huang
Efficient Neural Network Approaches for Leather Defect Classification. CoRR (2019)
Xiao-Na Ye, Kun-Hong Liu
A Novel Genetic Algorithm Based ECOC Algorithm. SKG (2018)
Kun-Hong Liu, Zhihao Zeng, Vincent To-Yee Ng
A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data. Inf. Sci. (2016)
Lifang Pan, Shutong Xie, Kun-Hong Liu, Jiangfu Liao
Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics. ICIC (1) (2016)
Kun-Hong Liu, Muchenxuan Tong, Shu-Tong Xie, Vincent To-Yee Ng
Genetic Programming Based Ensemble System for Microarray Data Classification. Comput. Math. Methods Medicine 2015 (2015)
Zhihao Zeng, Kun-Hong Liu, Zheyuan Wang
Cancer Classification Using Ensemble of Error Correcting Output Codes. ICIC (3) (2014)
Kun-Hong Liu, Qingqiang Wu, Meihong Wang
The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data. ISNN (3) (2011)
Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
Ensemble component selection for improving ICA based microarray data prediction models. Pattern Recognit. 42 (7) (2009)
Kun-Hong Liu, Bo Li, Qingqiang Wu, Jun Zhang, Ji-Xiang Du, Guo-Yan Liu
Microarray data classification based on ensemble independent component selection. Comput. Biol. Medicine 39 (11) (2009)
Shutong Xie, Yinbiao Guo, Yong Xu, Kun-Hong Liu
Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms. ISNN (2) (2009)
Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
A New Approach to Improving ICA-Based Models for the Classification of Microarray Data. ISNN (3) (2009)
Kun-Hong Liu, Jun Zhang, Bo Li, Ji-Xiang Du
A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets. ISNN (2) (2009)