default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKunhong Liu 0001
KunHong Liu 0001 – Kun-Hong Liu 0001
Person information
- affiliation: Xiamen University, School of Film, Department of Digital Media, Xiamen, China
- affiliation: Xiamen University, School of Informatics, Key Laboratory of Intelligent Storage and Computing, Xiamen, China
- affiliation (2014 - 2015): Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation (PhD 2008): University of Science and Technology of China, Hefei, China
- affiliation: Chinese Academy of Sciences, Hefei Institute of Intelligent Machines, Intelligent Computing Lab, Hefei, China
- affiliation: Fujian Normal University, School of Physics and Optoelectronics Technology, Fuzhou, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j53]Qiong Tan
, Yuqi Wen, Yong Xu, Kunhong Liu, Song He, Xiaochen Bo:
Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction. Inf. Sci. 667: 120342 (2024)- [j52]Shutong Xie, Zongbao He, Yee Man Loh, Yu Yang, Kunhong Liu, Chao Liu, Chi Fai Cheung, Nan Yu, Chunjin Wang:
A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing. J. Intell. Manuf. 35(6): 2787-2810 (2024) - [j51]Shutong Xie, Zong-Bao He, Lifang Pan, Kunhong Liu, Shubin Su:
An adaptive error-correcting output codes algorithm based on gene expression programming and similarity measurement matrix. Pattern Recognit. 145: 109957 (2024) - [j50]Xin-Cheng Wen, Kunhong Liu, Yan Luo, Jiaxin Ye, Li-Yan Chen:
TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition. Soft Comput. 28(15-16): 8701-8713 (2024) - [j49]Qingqi Hong, Lingli Lin, Zihan Li, Qingde Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu, Jie Tian:
A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14633-14644 (2024) - [c40]Jiacheng Su, Kunhong Liu, Liyan Chen, Junfeng Yao, Qingsong Liu, Dongdong Lv:
Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN. ICME 2024: 1-6 - [i12]Jiacheng Su, Kunhong Liu, Liyan Chen, Junfeng Yao, Qingsong Liu, Dongdong Lv:
Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN. CoRR abs/2407.05577 (2024) - 2023
- [j48]Wei-Ping Lin, Qi-Chao Ge, Sze-Teng Liong, Jia-Tong Liu, Kunhong Liu, Qingqiang Wu:
The design of error-correcting output codes based deep forest for the micro-expression recognition. Appl. Intell. 53(3): 3488-3504 (2023) - [j47]Jing Chen, Lianlian Wu, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo:
EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction. BMC Bioinform. 24(1): 325 (2023) - [j46]Yee Siang Gan, Gen-Bing Liong, Kunhong Liu, Sze-Teng Liong:
Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions? Neurocomputing 539: 126194 (2023) - [j45]Lianlian Wu, Xiaona Ye, Yixin Zhang, Jie Gao, Zhikai Lin, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu, Song He, Xiaochen Bo:
A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction. J. Chem. Inf. Model. 63(12): 3941-3954 (2023) - [j44]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: 109122 (2023) - [j43]Guangyi Lin, Jie Gao, Nan Zeng, Yong Xu, Kunhong Liu, Beizhan Wang, Junfeng Yao, Qingqiang Wu:
A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. Pattern Recognit. 143: 109813 (2023) - [j42]Mengxin Sun, Li-Yan Chen, Kunhong Liu, Sze-Teng Liong, Qingqiang Wu:
Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition. Signal Process. Image Commun. 115: 116962 (2023) - [j41]Qianhui Yang, Kunhong Liu, Yu Xie, Xiangyi Huang:
Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j40]Bin Chen, Kunhong Liu, Yong Xu, Qingqiang Wu, Junfeng Yao:
Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition. IEEE Trans. Multim. 25: 1345-1358 (2023) - [c39]Siyang Chen, Lianlian Wu, Yong Xu, Kunhong Liu, Song He, Xiaochen Bo:
A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction. BIBM 2023: 1054-1059 - [c38]Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan:
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. ICASSP 2023: 1-5 - [c37]Zebin Huang, Ning Yu, Qingqiang Wu, Kunhong Liu:
Cluster Equality Validity Index and Efficient Clustering Optimization Strategy. ICIC (4) 2023: 213-225 - [c36]Kunhong Liu, Bin Chen, Liyan Chen, Yong Xu, Lu Lin, Fan Gao, Yudi Zhao:
EduAction: A College Student Action Dataset for Classroom Attention Estimation. ICIC (4) 2023: 237-248 - [c35]Kunhong Liu, Qianhui Yang, Yu Xie, Xiangyi Huang:
Towards Open-Set Material Recognition using Robot Tactile Sensing. ICRA 2023: 10345-10351 - [c34]Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan:
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. ACM Multimedia 2023: 5956-5965 - [c33]Wen Sun, Yifan Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu:
Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. SEKE 2023: 317-322 - [i11]Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan:
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. CoRR abs/2308.02190 (2023) - 2022
- [j39]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): 7843-7869 (2022) - [j38]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): 8856-8873 (2022) - [j37]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): 16621-16639 (2022) - [j36]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) - [j35]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: 283-298 (2022) - [j34]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: 341-359 (2022) - [j33]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): 61-76 (2022) - [j32]Jiaxin Ye, Xin-Cheng Wen, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kunhong Liu:
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition. Speech Commun. 145: 21-35 (2022) - [c32]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: 1423-1428 - [c31]Xin-Cheng Wen, Jiaxin 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: 2305-2311 - [c30]Liyan Chen, Haoran Yang, Kunhong Liu:
Classroom Attention Estimation Method Based on Mining Facial Landmarks of Students. MMM (2) 2022: 255-266 - [i10]Xin-Cheng Wen, Jiaxin 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 abs/2207.10644 (2022) - [i9]Jiaxin 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 abs/2210.15834 (2022) - [i8]Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan:
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. CoRR abs/2211.08233 (2022) - 2021
- [j31]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: 104534 (2021) - [j30]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: 1-23 (2021) - [j29]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: 107642 (2021) - [j28]Guangyi Lin, KunHong Liu, Beizhan Wang, Xiaoyan Zhang:
Partial label learning based on label distributions and error-correcting output codes. Soft Comput. 25(2): 1049-1064 (2021) - [j27]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): 2057-2068 (2021) - [j26]Jie Gao, KunHong Liu, Beizhan Wang, Dong Wang, Qingqi Hong:
An improved deep forest for alleviating the data imbalance problem. Soft Comput. 25(3): 2085-2101 (2021) - [j25]Anfernee Joan B. Ng, Kun-Hong Liu:
The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition. Sci. Program. 2021: 9916915:1-9916915:12 (2021) - [j24]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: 9977977:1-9977977:11 (2021) - [j23]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: 116153 (2021) - [c29]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: 1008-1013 - [c28]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: 1119-1124 - 2020
- [j22]Jie Gao, Weiping Lin, KunHong Liu, Qingqi Hong, Guangyi Lin, Beizhan Wang:
Imprecise Deep Forest for Partial Label Learning. IEEE Access 8: 218530-218541 (2020) - [j21]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: 105598 (2020) - [j20]Kaijie Feng, Sze-Teng Liong, Kun-Hong Liu:
The design of variable-length coding matrix for improving error correcting output codes. Inf. Sci. 534: 192-217 (2020) - [j19]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: 485-510 (2020) - [j18]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: 100709 (2020) - [j17]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): 705-725 (2020) - [c27]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: 9356-9362
2010 – 2019
- 2019
- [j16]Qingqi Hong, Qingde Li, Beizhan Wang, KunHong Liu, Quan Qi:
High Precision Implicit Modeling for Patient-Specific Coronary Arteries. IEEE Access 7: 72020-72029 (2019) - [j15]Kun-Hong Liu, Vincent To-Yee Ng, Sze-Teng Liong, Qingqi Hong:
Microarray Data Classification Based on Computational Verb. IEEE Access 7: 103310-103324 (2019) - [j14]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: 346-362 (2019) - [j13]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) - [c26]Beizhan Wang, Qichao Ge, Qingqi Hong, Yangjing Li, KunHong Liu, Ziyou Jiang:
Vascular Model Editing for 3D Printing Based on Implicit Functions. IGTA 2019: 150-160 - [c25]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: 831-837 - [c24]JiaYu Zou, KunHong Liu, YeFan Huang:
A Dynamic Ensemble Selection Strategy for Improving Error Correcting Output Codes Algorithm. ISPA/BDCloud/SocialCom/SustainCom 2019: 1283-1290 - [c23]Yu-Ping Zhang, Kun-Hong Liu:
A Novel Genetic Algorithm Approach to Improving Error Correction Output Coding. KSEM (2) 2019: 241-249 - [i7]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 abs/1904.01748 (2019) - [i6]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 abs/1905.11731 (2019) - [i5]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 abs/1906.06446 (2019) - 2018
- [j12]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: 206-216 (2018) - [c22]Kaijie Feng, KunHong Liu, Beizhan Wang:
A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. ICIC (2) 2018: 165-173 - [c21]Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang:
A New ECOC Algorithm for Multiclass Microarray Data Classification. ICPR 2018: 454-458 - [c20]Xiao-Na Ye, Kun-Hong Liu:
A Novel Genetic Algorithm Based ECOC Algorithm. SKG 2018: 241-244 - [i4]Kaijie Feng, KunHong Liu, Beizhan Wang:
A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. CoRR abs/1806.08465 (2018) - [i3]Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang:
A New ECOC Algorithm for Multiclass Microarray Data Classification. CoRR abs/1807.03233 (2018) - 2017
- [c19]HanRui Wang, KeSen Li, KunHong Liu:
A Genetic Programming Based ECOC Algorithm for Microarray Data Classification. ICONIP (6) 2017: 683-691 - [c18]Jiajun Wang, KunHong Liu, MengXin Sun, Qingqi Hong:
Genetic Programming Based ECOC for Multiclass Microarray Data Classification. ISCID (1) 2017: 280-283 - [c17]Mengxin Sun, KunHong Liu, Qingqi Hong:
An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities. ISCID (1) 2017: 300-303 - [c16]Tianyun Zhong, Jiajun Wang, KunHong Liu, Beizhan Wang, Qingqi Hong:
Multiclass Microarray Data Classification Based on SA-ECOC. ISCID (1) 2017: 434-437 - 2016
- [j11]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. 349-350: 102-118 (2016) - [c15]Lifang Pan, Shutong Xie, Kun-Hong Liu, Jiangfu Liao:
Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics. ICIC (1) 2016: 175-182 - 2015
- [j10]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: 193406:1-193406:11 (2015) - 2014
- [c14]Zhihao Zeng, Kun-Hong Liu, Zheyuan Wang:
Cancer Classification Using Ensemble of Error Correcting Output Codes. ICIC (3) 2014: 15-24 - [c13]KunHong Liu, Muchenxuan Tong, Shu-Tong Xie, ZhiHao Zeng:
Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets. ICIC (2) 2014: 126-134 - 2013
- [j9]Muchenxuan Tong, KunHong Liu, Chungui Xu, Wenbin Ju:
An ensemble of SVM classifiers based on gene pairs. Comput. Biol. Medicine 43(6): 729-737 (2013) - 2011
- [c12]Kun-Hong Liu, Qingqiang Wu, Meihong Wang:
The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data. ISNN (3) 2011: 513-522
2000 – 2009
- 2009
- [j8]KunHong Liu, Chun-Gui Xu:
A genetic programming-based approach to the classification of multiclass microarray datasets. Bioinform. 25(3): 331-337 (2009) - [j7]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): 953-960 (2009) - [j6]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): 1274-1283 (2009) - [c11]Chun-Gui Xu, KunHong Liu, De-Shuang Huang:
The analysis of microarray datasets using a genetic programming. CIBCB 2009: 176-181 - [c10]Shutong Xie, Yinbiao Guo, Yong Xu, Kun-Hong Liu:
Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms. ISNN (2) 2009: 424-431 - [c9]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: 432-441 - [c8]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: 983-992 - 2008
- [j5]KunHong Liu, De-Shuang Huang:
Cancer classification using Rotation Forest. Comput. Biol. Medicine 38(5): 601-610 (2008) - [j4]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): 111-121 (2008) - [j3]Bo Li, De-Shuang Huang, Chao Wang, KunHong Liu:
Feature extraction using constrained maximum variance mapping. Pattern Recognit. 41(11): 3287-3294 (2008) - [c7]Chun-Gui Xu, KunHong Liu:
A GP Based Approach to the Classification of Multiclass Microarray Datasets. ICIC (2) 2008: 340-346 - [c6]Bo Li, De-Shuang Huang, KunHong Liu:
Constrained Maximum Variance Mapping. IJCNN 2008: 534-537 - 2007
- [c5]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: 606-611 - [c4]KunHong Liu, De-Shuang Huang, Jun Zhang:
Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation 2007: 634-637 - [c3]Jun Zhang, De-Shuang Huang, KunHong Liu:
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation 2007: 3215-3220 - [c2]Zhong-Hua Quan, De-Shuang Huang, KunHong Liu, Kwok-Wing Chau:
A Hybrid HMM/ANN Based Approach for Online Signature Verification. IJCNN 2007: 402-405 - [c1]Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, KunHong Liu:
Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. IJCNN 2007: 991-996 - [p1]Yong Xu, KunHong Liu:
Evolutionary Grooming of Traffic in WDM Optical Networks. Advances in Evolutionary Computing for System Design 2007: 95-137 - 2006
- [i2]KunHong Liu, Yong Xu, De-Shuang Huang, Min Cheng:
Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm. CoRR abs/cs/0610147 (2006) - [i1]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 abs/cs/0610157 (2006) - 2005
- [j2]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): 179-192 (2005) - 2004
- [j1]KunHong Liu, Yong Xu:
A new approach to improving the grooming performance with dynamic traffic in SONET rings. Comput. Networks 46(2): 181-195 (2004)
Coauthor Index