A new approach to improving the grooming performance with dynamic traffic in SONET rings. - KunHong Liu 001; Yong Xu 009 (Comput. Networks, 2004)

Combining GA with Splitting Methods for Rearrangeably Nonblocking Grooming of Dynamic Traffic in SONET Ring Networks. - KunHong Liu 001; Yong Xu 009 (Photonic Netw. Commun., 2005)

A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation - KunHong Liu 001; Yong Xu 009; De-Shuang Huang (CoRR, 2006)

Improving the performance of ICA based microarray data prediction models with genetic algorithm. - KunHong Liu 001; De-Shuang Huang; Bo Li 002 (IEEE Congress on Evolutionary Computation, 2007)

Microarray data prediction by evolutionary classifier ensemble system. - KunHong Liu 001; De-Shuang Huang; Jun Zhang 011 (IEEE Congress on Evolutionary Computation, 2007)

Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. - Jun Zhang 011; De-Shuang Huang; KunHong Liu 001 (IEEE Congress on Evolutionary Computation, 2007)

A Hybrid HMM/ANN Based Approach for Online Signature Verification. - Zhong-Hua Quan; De-Shuang Huang; KunHong Liu 001; Kwok-Wing Chau (IJCNN, 2007)

Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. - Guo-Zhu Wen; Xiao-Yong Guo; De-Shuang Huang; KunHong Liu 001 (IJCNN, 2007)

Evolutionary Grooming of Traffic in WDM Optical Networks. - Yong Xu 009; KunHong Liu 001 (Advances in Evolutionary Computing for System Design, 2007)

A GP Based Approach to the Classification of Multiclass Microarray Datasets. - Chun-Gui Xu; KunHong Liu 001 (ICIC (2), 2008)

Constrained Maximum Variance Mapping. - Bo Li 002; De-Shuang Huang; KunHong Liu 001 (IJCNN, 2008)

Cancer classification using Rotation Forest. - KunHong Liu 001; De-Shuang Huang (Comput. Biol. Medicine, 2008)

Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm. - KunHong Liu 001; Yong Xu 009; De-Shuang Huang; Min Cheng (Photonic Netw. Commun., 2008)

Feature extraction using constrained maximum variance mapping. - Bo Li 002; De-Shuang Huang; Chao Wang 071; KunHong Liu 001 (Pattern Recognit., 2008)

The analysis of microarray datasets using a genetic programming. - Chun-Gui Xu; KunHong Liu 001; De-Shuang Huang (CIBCB, 2009)

A New Approach to Improving ICA-Based Models for the Classification of Microarray Data. - Kun-Hong Liu 001; Bo Li 002; Jun Zhang 011; Ji-Xiang Du (ISNN (3), 2009)

A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets. - Kun-Hong Liu 001; Jun Zhang 011; Bo Li 002; Ji-Xiang Du (ISNN (2), 2009)

Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms. - Shutong Xie; Yinbiao Guo; Yong Xu 009; Kun-Hong Liu 001 (ISNN (2), 2009)

A genetic programming-based approach to the classification of multiclass microarray datasets. - KunHong Liu 001; Chun-Gui Xu (Bioinform., 2009)

Microarray data classification based on ensemble independent component selection. - Kun-Hong Liu 001; Bo Li 002; Qingqiang Wu 001; Jun Zhang 011; Ji-Xiang Du; Guo-Yan Liu (Comput. Biol. Medicine, 2009)

Ensemble component selection for improving ICA based microarray data prediction models. - Kun-Hong Liu 001; Bo Li 002; Jun Zhang 011; Ji-Xiang Du (Pattern Recognit., 2009)

The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data. - Kun-Hong Liu 001; Qingqiang Wu 001; Meihong Wang (ISNN (3), 2011)

An ensemble of SVM classifiers based on gene pairs. - Muchenxuan Tong; KunHong Liu 001; Chungui Xu; Wenbin Ju (Comput. Biol. Medicine, 2013)

Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets. - KunHong Liu 001; Muchenxuan Tong; Shu-Tong Xie; ZhiHao Zeng (ICIC (2), 2014)

Cancer Classification Using Ensemble of Error Correcting Output Codes. - Zhihao Zeng; Kun-Hong Liu 001; Zheyuan Wang (ICIC (3), 2014)

Genetic Programming Based Ensemble System for Microarray Data Classification. - Kun-Hong Liu 001; Muchenxuan Tong; Shu-Tong Xie; Vincent To-Yee Ng (Comput. Math. Methods Medicine, 2015)

Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics. - Lifang Pan; Shutong Xie; Kun-Hong Liu 001; Jiangfu Liao (ICIC (1), 2016)

A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data. - Kun-Hong Liu 001; Zhihao Zeng; Vincent To-Yee Ng (Inf. Sci., 2016)

A Genetic Programming Based ECOC Algorithm for Microarray Data Classification. - HanRui Wang 001; KeSen Li 001; KunHong Liu 001 (ICONIP (6), 2017)

An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities. - Mengxin Sun; KunHong Liu 001; Qingqi Hong (ISCID (1), 2017)

Genetic Programming Based ECOC for Multiclass Microarray Data Classification. - Jiajun Wang; KunHong Liu 001; MengXin Sun; Qingqi Hong (ISCID (1), 2017)

Multiclass Microarray Data Classification Based on SA-ECOC. - Tianyun Zhong; Jiajun Wang; KunHong Liu 001; Beizhan Wang; Qingqi Hong (ISCID (1), 2017)

A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. - Kaijie Feng; KunHong Liu 001; Beizhan Wang (ICIC (2), 2018)

A New ECOC Algorithm for Multiclass Microarray Data Classification. - Mengxin Sun; KunHong Liu 001; Qingqi Hong; Beizhan Wang (ICPR, 2018)

A Novel Genetic Algorithm Based ECOC Algorithm. - Xiao-Na Ye; Kun-Hong Liu 001 (SKG, 2018)

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. - Qingqi Hong; Qingde Li; Beizhan Wang; KunHong Liu 001; Fan Lin; Juncong Lin; Xuan Cheng; Zhihong Zhang 001; Ming Zeng 008 (Comput. Aided Geom. Des., 2018)

Vascular Model Editing for 3D Printing Based on Implicit Functions. - Beizhan Wang; Qichao Ge; Qingqi Hong; Yangjing Li; KunHong Liu 001; Ziyou Jiang (IGTA, 2019)

The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming. - Yifan Liang; Chang Liu; Hanrui Wang 002; KunHong Liu 001 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Dynamic Ensemble Selection Strategy for Improving Error Correcting Output Codes Algorithm. - Jiayu Zou; KunHong Liu 001; YeFan Huang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Novel Genetic Algorithm Approach to Improving Error Correction Output Coding. - Yu-Ping Zhang; Kun-Hong Liu 001 (KSEM (2), 2019)

High Precision Implicit Modeling for Patient-Specific Coronary Arteries. - Qingqi Hong; Qingde Li; Beizhan Wang; KunHong Liu 001; Quan Qi (IEEE Access, 2019)

Microarray Data Classification Based on Computational Verb. - Kun-Hong Liu 001; Vincent To-Yee Ng; Sze-Teng Liong; Qingqi Hong (IEEE Access, 2019)

Integrated Neural Network and Machine Vision Approach For Leather Defect Classification. - Sze-Teng Liong; Yee Siang Gan; Yen-Chang Huang; Kun-Hong Liu 001; Wei-Chuen Yau (CoRR, 2019)

Efficient Neural Network Approaches for Leather Defect Classification. - Sze-Teng Liong; Yee Siang Gan; Kun-Hong Liu 001; Tran Quang Binh; Cong Tue Le; Chien-An Wu; Cheng-Yan Yang; Yen-Chang Huang (CoRR, 2019)

A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis. - MengXin Sun; KunHong Liu 001; Qingqiang Wu 001; Qingqi Hong; Beizhan Wang; Haiying Zhang (Pattern Recognit., 2019)

A novel Error-Correcting Output Codes algorithm based on genetic programming. - Ke-Sen Li 001; Han-Rui Wang 001; Kun-Hong Liu 001 (Swarm Evol. Comput., 2019)

The Application of Capsule Neural Network Based CNN for Speech Emotion Recognition. - Xin-Cheng Wen; Kun-Hong Liu 001; Wei-Ming Zhang; Kai Jiang (ICPR, 2020)

Imprecise Deep Forest for Partial Label Learning. - Jie Gao; Weiping Lin; KunHong Liu 001; Qingqi Hong; Guangyi Lin; Beizhan Wang (IEEE Access, 2020)

High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations. - Qingqi Hong; Qingde Li; Beizhan Wang; Jie Tian 001; Fei Xu; KunHong Liu 001; Xuan Cheng (Comput. Methods Programs Biomed., 2020)

The design of variable-length coding matrix for improving error correcting output codes. - Kaijie Feng; Sze-Teng Liong; Kun-Hong Liu 001 (Inf. Sci., 2020)

A ternary bitwise calculator based genetic algorithm for improving error correcting output codes. - Xiao-Na Ye; Kun-Hong Liu 001; Sze-Teng Liong (Inf. Sci., 2020)

A novel multi-objective genetic algorithm based error correcting output codes. - Yu-Ping Zhang; Xiao-Na Ye; Kun-Hong Liu 001; Jun-Feng Yao (Swarm Evol. Comput., 2020)

Evaluation of the Spatio-Temporal Features and GAN for Micro-Expression Recognition System. - Sze-Teng Liong; Yee Siang Gan; Danna Zheng; Shu-Meng Lic; Hao-Xuan Xua; Han-Zhe Zhang; Ran-Ke Lyu; Kun-Hong Liu 001 (J. Signal Process. Syst., 2020)

FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening. - Jiatong Liu; Changbin Pan; Dongdong Chen 003; Weiping Lin; Shangyuan Feng; Sufang Qiu; Beizhan Wang; KunHong Liu 001 (BIBM, 2021)

A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. - Fei Xu; Lingli Lin; Dihan Li; Qingqi Hong; KunHong Liu 001; Qingqiang Wu 001; Qingde Li; Yinhuan Zheng; Jie Tian 001 (BIBM, 2021)

A direct slicing technique for the 3D printing of implicitly represented medical models. - Qingqi Hong; Lingli Lin; Qingde Li; Ziyou Jiang; Jun Fang; Beizhan Wang; KunHong Liu 001; Qingqiang Wu 001; Chenxi Huang 001 (Comput. Biol. Medicine, 2021)

The design of dynamic ensemble selection strategy for the error-correcting output codes family. - Jiayu Zou; Mengxin Sun; Kun-Hong Liu 001; Qingqiang Wu 001 (Inf. Sci., 2021)

A novel error-correcting output codes based on genetic programming and ternary digit operators. - Yifan Liang; Chang Liu; Han-Rui Wang 001; KunHong Liu 001; Jun-Feng Yao; Yingying She; Guiming Dai; Yuna Okina (Pattern Recognit., 2021)

An improved deep forest for alleviating the data imbalance problem. - Jie Gao; KunHong Liu 001; Beizhan Wang; Dong Wang; Qingqi Hong (Soft Comput., 2021)

Improving deep forest by ensemble pruning based on feature vectorization and quantum walks. - Jie Gao; KunHong Liu 001; Beizhan Wang; Dong Wang; Xiaoyan Zhang (Soft Comput., 2021)

Partial label learning based on label distributions and error-correcting output codes. - Guangyi Lin; KunHong Liu 001; Beizhan Wang; Xiaoyan Zhang (Soft Comput., 2021)

The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition. - Anfernee Joan B. Ng; Kun-Hong Liu 001 (Sci. Program., 2021)

Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses. - Shu-Tong Xie; Qiong Chen; Kun-Hong Liu 001; Qingzhao Kong; Xiu-juan Cao (Sci. Program., 2021)

Micro-expression recognition using advanced genetic algorithm. - Kun-Hong Liu 001; Qiu-Shi Jin; Huang-Chao Xu; Yee Siang Gan; Sze-Teng Liong (Signal Process. Image Commun., 2021)

A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction. - Yuting Zhong; Bowei Yan; KunHong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (BIBM, 2022)

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition. - Xin-Cheng Wen; Jiaxin Ye; Yan Luo; Yong Xu 009; Xuan-Ze Wang; Chang-Li Wu; Kun-Hong Liu 001 (IJCAI, 2022)

Classroom Attention Estimation Method Based on Mining Facial Landmarks of Students. - Liyan Chen; Haoran Yang; Kunhong Liu 001 (MMM (2), 2022)

The design of error-correcting output codes algorithm for the open-set recognition. - KunHong Liu 001; Zhan WangPing; Yi-Fan Liang; Ya-Nan Zhang; Hong-Zhou Guo; Junfeng Yao; Qingqiang Wu 001; Qingqi Hong (Appl. Intell., 2022)

The design of soft recoding-based strategies for improving error-correcting output codes. - KunHong Liu 001; Xiao-Na Ye; Hong-Zhou Guo; Qingqiang Wu 001; Qingqi Hong (Appl. Intell., 2022)

The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition. - Mengxin Sun; Sze-Teng Liong; Kun-Hong Liu 001; Qingqiang Wu 001 (Appl. Intell., 2022)

An enhanced cascade-based deep forest model for drug combination prediction. - Weiping Lin; Lianlian Wu; Yixin Zhang; Yuqi Wen; Bowei Yan; Chong Dai; Kun-Hong Liu 001; Song He; Xiaochen Bo (Briefings Bioinform., 2022)

Needle in a Haystack: Spotting and recognising micro-expressions "in the wild". - Yee Siang Gan; John See; Huai-Qian Khor; KunHong Liu 001; Sze-Teng Liong (Neurocomputing, 2022)

Feature space and label space selection based on Error-correcting output codes for partial label learning. - Guangyi Lin; Zi-Yang Xiao; Jia-Tong Liu; Beizhan Wang; KunHong Liu 001; Qingqiang Wu 001 (Inf. Sci., 2022)

The design of evolutionary feature selection operator for the micro-expression recognition. - Zhan WangPing; Min Jiang 005; Junfeng Yao; KunHong Liu 001; Qingqiang Wu 001 (Memetic Comput., 2022)

GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition. - Jiaxin Ye; Xin-Cheng Wen; Xuan-Ze Wang; Yong Xu 009; Yan Luo; Chang-Li Wu; Li-Yan Chen; Kunhong Liu 001 (Speech Commun., 2022)

A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction. - Siyang Chen; Lianlian Wu; Yong Xu 009; Kunhong Liu 001; Song He; Xiaochen Bo (BIBM, 2023)

Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. - Jiaxin Ye; Xin-Cheng Wen; Yujie Wei 001; Yong Xu 009; Kunhong Liu 001; Hongming Shan (ICASSP, 2023)

Cluster Equality Validity Index and Efficient Clustering Optimization Strategy. - Zebin Huang; Ning Yu; Qingqiang Wu 001; Kunhong Liu 001 (ICIC (4), 2023)

EduAction: A College Student Action Dataset for Classroom Attention Estimation. - Kunhong Liu 001; Bin Chen; Liyan Chen; Yong Xu 009; Lu Lin; Fan Gao; Yudi Zhao (ICIC (4), 2023)

Towards Open-Set Material Recognition using Robot Tactile Sensing. - Kunhong Liu 001; Qianhui Yang; Yu Xie; Xiangyi Huang (ICRA, 2023)

Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. - Jiaxin Ye; Yujie Wei 001; Xin-Cheng Wen; Chenglong Ma; Zhizhong Huang; Kunhong Liu 001; Hongming Shan (ACM Multimedia, 2023)

Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. - Wen Sun; Yifan Li; Junfeng Yao; Qingqiang Wu 001; Kunhong Liu 001 (SEKE, 2023)

The design of error-correcting output codes based deep forest for the micro-expression recognition. - Wei-Ping Lin; Qi-Chao Ge; Sze-Teng Liong; Jia-Tong Liu; Kunhong Liu 001; Qingqiang Wu 001 (Appl. Intell., 2023)

A novel soft-coded error-correcting output codes algorithm. - Kun-Hong Liu 001; Jie Gao; Yong Xu 009; Kaijie Feng; Xiao-Na Ye; Sze-Teng Liong; Li-Yan Chen (Pattern Recognit., 2023)

Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene. - Qianhui Yang; Kunhong Liu 001; Yu Xie; Xiangyi Huang (IEEE Trans. Instrum. Meas., 2023)

Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition. - Bin Chen; Kunhong Liu 001; Yong Xu 009; Qingqiang Wu 001; Junfeng Yao (IEEE Trans. Multim., 2023)

Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions? - Yee Siang Gan; Gen-Bing Liong; Kunhong Liu 001; Sze-Teng Liong (Neurocomputing, 2023)

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction. - Lianlian Wu; Xiaona Ye; Yixin Zhang; Jie Gao; Zhikai Lin; Binsheng Sui; Yuqi Wen; Qingqiang Wu 001; Kunhong Liu 001; Song He; Xiaochen Bo (J. Chem. Inf. Model., 2023)

Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition. - Mengxin Sun; Li-Yan Chen; Kunhong Liu 001; Sze-Teng Liong; Qingqiang Wu 001 (Signal Process. Image Commun., 2023)

A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. - Guangyi Lin; Jie Gao; Nan Zeng; Yong Xu 009; Kunhong Liu 001; Beizhan Wang; Junfeng Yao; Qingqiang Wu 001 (Pattern Recognit., 2023)

EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction. - Jing Chen; Lianlian Wu; Kunhong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (BMC Bioinform., 2023)

CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions. - Jiayu Zou; Lianlian Wu; Weiping Lin; Kunhong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (BIBM, 2024)

Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN. - Jiacheng Su; Kunhong Liu 001; Liyan Chen; Junfeng Yao; Qingsong Liu; Dongdong Lv (ICME, 2024)

Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling. - Min Zhang; Zilin Wang; Liyan Chen; Kunhong Liu 001; Juncong Lin (CoRR, 2024)

Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction. - Qiong Tan; Yuqi Wen; Yong Xu 009; Kunhong Liu 001; Song He; Xiaochen Bo (Inf. Sci., 2024)

An adaptive error-correcting output codes algorithm based on gene expression programming and similarity measurement matrix. - Shutong Xie; Zong-Bao He; Lifang Pan; Kunhong Liu 001; Shubin Su (Pattern Recognit., 2024)

A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing. - Shutong Xie; Zongbao He; Yee Man Loh; Yu Yang; Kunhong Liu 001; Chao Liu 031; Chi Fai Cheung; Nan Yu; Chunjin Wang (J. Intell. Manuf., 2024)

TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition. - Xin-Cheng Wen; Kunhong Liu 001; Yan Luo; Jiaxin Ye; Li-Yan Chen (Soft Comput., 2024)

A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification. - Qingqi Hong; Lingli Lin; Zihan Li; Qingde Li; Junfeng Yao; Qingqiang Wu 001; Kunhong Liu 001; Jie Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Ensemble Cascade Forest-Based Framework for Multi-Omics Drug Response and Synergy Prediction. - Ruijiang Li; Binsheng Sui; Dongjin Leng; Song He; Kunhong Liu 001; Xiaochen Bo (Adv. Intell. Syst., 2024)

An improved end-to-end micro-expression recognition system for real-world videos via dual-input CNN architecture. - Yee Siang Gan; Kun-Hong Liu 001; Min-Huan Wu; Gen-Bing Liong; Sze-Teng Liong (Expert Syst. Appl., 2025)

Multi-task multi-view and iterative error-correcting random forest for acute toxicity prediction. - Jie Gao; Lianlian Wu; Guangyi Lin; Jiayu Zou; Bowei Yan; Kunhong Liu 001; Song He; Xiaochen Bo (Expert Syst. Appl., 2025)

Micro-expression recognition in wild video environments: Latent feature-based ANN (LFANN) from 3D reconstructed faces. - Yee Siang Gan; Kunhong Liu 001; Gen-Bing Liong; Sze-Teng Liong (Neurocomputing, 2025)

RL-GCL: Reinforcement Learning-Guided Contrastive Learning for molecular property prediction. - Yanran Fu; Junshan Han; Yong Xu 009; Kunhong Liu 001; Jiang Lu; Song He; Xiaochen Bo (Inf. Fusion, 2025)

Multi-views Emotional Knowledge Extraction for Emotion Recognition in Conversation. - Zhongquan Jian; Daihang Wu; Shaopan Wang; Jiezhou He; Junfeng Yao; Kunhong Liu 001; Qingqiang Wu 001 (Knowl. Based Syst., 2025)

A feature pair-based neural network embedded decision tree for synergistic drug combination prediction. - Jiayu Zou; Lianlian Wu; Kunhong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (Pattern Recognit., 2025)

MDGP-forest: A novel deep forest for multi-class imbalanced learning based on multi-class disassembly and feature construction enhanced by genetic programming. - Zhikai Lin; Yong Xu 009; Kunhong Liu 001; Liyan Chen (Pattern Recognit., 2026)