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ORCIDKunhong Liu 0001
KunHong Liu 0001 – Kun-Hong Liu 0001
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- affiliation: Xiamen University, School of Informatics, China
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2020 – today
- 2024
[j48]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)- 2023
- [j47]Wei-Ping Lin
, Qi-Chao Ge, Sze-Teng Liong, Jia-Tong Liu, Kunhong Liu, Qing-Qiang Wu:
The design of error-correcting output codes based deep forest for the micro-expression recognition. Appl. Intell. 53(3): 3488-3504 (2023) - [j46]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) - [j45]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) - [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, Qing-Qiang 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
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