Kun-Hong Liu

33 papers A* 1B 1Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
An improved end-to-end micro-expression recognition system for real-world videos via dual-input CNN architecture.
Expert Syst. Appl.
Yee Siang Gan, Kun-Hong Liu, Min-Huan Wu, Gen-Bing Liong, Sze-Teng Liong
2023 J jnl
A novel soft-coded error-correcting output codes algorithm.
Pattern Recognit.
Kun-Hong Liu, Jie Gao, Yong Xu, Kaijie Feng, Xiao-Na Ye, Sze-Teng Liong, Li-Yan Chen
2022 J jnl
An enhanced cascade-based deep forest model for drug combination prediction.
Briefings Bioinform.
Weiping Lin, Lianlian Wu, Yixin Zhang, Yuqi Wen, Bowei Yan, Chong Dai, Kun-Hong Liu, Song He, Xiaochen Bo
2022 A* conf
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition.
IJCAI
Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu
2022 J jnl
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition.
CoRR
Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu
2022 J jnl
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition.
CoRR
Jiaxin Ye, Xin-Cheng Wen, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kun-Hong Liu
2022 J jnl
The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition.
Appl. Intell.
Mengxin Sun, Sze-Teng Liong, Kun-Hong Liu, Qingqiang Wu
2021 J jnl
Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses.
Sci. Program.
Shu-Tong Xie, Qiong Chen, Kun-Hong Liu, Qingzhao Kong, Xiu-juan Cao
2021 J jnl
Micro-expression recognition using advanced genetic algorithm.
Signal Process. Image Commun.
Kun-Hong Liu, Qiu-Shi Jin, Huang-Chao Xu, Yee Siang Gan, Sze-Teng Liong
2021 J jnl
The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition.
Sci. Program.
Anfernee Joan B. Ng, Kun-Hong Liu
2021 J jnl
The design of dynamic ensemble selection strategy for the error-correcting output codes family.
Inf. Sci.
Jiayu Zou, Mengxin Sun, Kun-Hong Liu, Qingqiang Wu
2020 J jnl
A novel multi-objective genetic algorithm based error correcting output codes.
Swarm Evol. Comput.
Yu-Ping Zhang, Xiao-Na Ye, Kun-Hong Liu, Jun-Feng Yao
2020 J jnl
A ternary bitwise calculator based genetic algorithm for improving error correcting output codes.
Inf. Sci.
Xiao-Na Ye, Kun-Hong Liu, Sze-Teng Liong
2020 J jnl
Evaluation of the Spatio-Temporal Features and GAN for Micro-Expression Recognition System.
J. Signal Process. Syst.
Sze-Teng Liong, Yee Siang Gan, Danna Zheng, Shu-Meng Lic, Hao-Xuan Xua, Han-Zhe Zhang, Ran-Ke Lyu, Kun-Hong Liu
2020 B conf
The Application of Capsule Neural Network Based CNN for Speech Emotion Recognition.
ICPR
Xin-Cheng Wen, Kun-Hong Liu, Wei-Ming Zhang, Kai Jiang
2020 J jnl
The design of variable-length coding matrix for improving error correcting output codes.
Inf. Sci.
Kaijie Feng, Sze-Teng Liong, Kun-Hong Liu
2019 — conf
A Novel Genetic Algorithm Approach to Improving Error Correction Output Coding.
KSEM (2)
Yu-Ping Zhang, Kun-Hong Liu
2019 J jnl
A novel Error-Correcting Output Codes algorithm based on genetic programming.
Swarm Evol. Comput.
Ke-Sen Li, Han-Rui Wang, Kun-Hong Liu
2019 J jnl
Efficient Neural Network Approaches for Leather Defect Classification.
CoRR
Sze-Teng Liong, Yee Siang Gan, Kun-Hong Liu, Tran Quang Binh, Cong Tue Le, Chien-An Wu, Cheng-Yan Yang, Yen-Chang Huang
2019 J jnl
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System.
CoRR
Sze-Teng Liong, Yee Siang Gan, Danna Zheng, Shu-Meng Lic, Hao-Xuan Xua, Han-Zhe Zhang, Ran-Ke Lyu, Kun-Hong Liu
2019 J jnl
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification.
CoRR
Sze-Teng Liong, Yee Siang Gan, Yen-Chang Huang, Kun-Hong Liu, Wei-Chuen Yau
2019 J jnl
Microarray Data Classification Based on Computational Verb.
IEEE Access
Kun-Hong Liu, Vincent To-Yee Ng, Sze-Teng Liong, Qingqi Hong
2018 — conf
A Novel Genetic Algorithm Based ECOC Algorithm.
SKG
Xiao-Na Ye, Kun-Hong Liu
2016 J jnl
A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data.
Inf. Sci.
Kun-Hong Liu, Zhihao Zeng, Vincent To-Yee Ng
2016 — conf
Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics.
ICIC (1)
Lifang Pan, Shutong Xie, Kun-Hong Liu, Jiangfu Liao
2015 J jnl
Genetic Programming Based Ensemble System for Microarray Data Classification.
Comput. Math. Methods Medicine
Kun-Hong Liu, Muchenxuan Tong, Shu-Tong Xie, Vincent To-Yee Ng
2014 — conf
Cancer Classification Using Ensemble of Error Correcting Output Codes.
ICIC (3)
Zhihao Zeng, Kun-Hong Liu, Zheyuan Wang
2011 — conf
The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data.
ISNN (3)
Kun-Hong Liu, Qingqiang Wu, Meihong Wang
2009 — conf
A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets.
ISNN (2)
Kun-Hong Liu, Jun Zhang, Bo Li, Ji-Xiang Du
2009 — conf
A New Approach to Improving ICA-Based Models for the Classification of Microarray Data.
ISNN (3)
Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
2009 J jnl
Ensemble component selection for improving ICA based microarray data prediction models.
Pattern Recognit.
Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
2009 — conf
Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms.
ISNN (2)
Shutong Xie, Yinbiao Guo, Yong Xu, Kun-Hong Liu
2009 J jnl
Microarray data classification based on ensemble independent component selection.
Comput. Biol. Medicine
Kun-Hong Liu, Bo Li, Qingqiang Wu, Jun Zhang, Ji-Xiang Du, Guo-Yan Liu