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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j43]Fuyou Fan, Lin Zhang
, Yang Dai:
FEGAN: A Feature Extraction Based Approach for GAN Anomaly Detection and Localization. IEEE Access 12: 76154-76168 (2024)- [j42]Lianwei Li, Shiyin Qin, Ning Yang, Li Hong, Yang Dai, Zhiqiang Wang:
LVNet: A lightweight volumetric convolutional neural network for real-time and high-performance recognition of 3D objects. Multim. Tools Appl. 83(21): 61047-61063 (2024) - [j41]Zhenwei Wang, Yingbao Yang, Penghua Hu, Yang Dai, Xiangjin Meng:
A Hybrid Method for Temporal Normalization of Land Surface Temperature Under All-Sky Conditions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16139-16153 (2024) - [j40]Yang Dai, Yukun Li, Leiyu Gao, Jing Zuo, Cheng Chen, Zhongxu Wang, Wu Zhao:
Study of p-(6H, 4H, 3C)SiC/n-GaN Heterojunction SDR, DDR IMPATT Diodes. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(12): 4767-4774 (2024) - [c55]Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, Shouling Ji:
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems. CCS 2024: 645-659 - [i8]Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, Shouling Ji:
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems. CoRR abs/2402.03741 (2024) - [i7]Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen:
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? CoRR abs/2405.12094 (2024) - [i6]Tianwei Lin, Jiang Liu, Wenqiao Zhang, Zhaocheng Li, Yang Dai, Haoyuan Li, Zhelun Yu, Wanggui He, Juncheng Li, Hao Jiang, Siliang Tang, Yueting Zhuang:
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition. CoRR abs/2408.09856 (2024) - 2023
- [j39]Yang Dai, Lin Zhang, Fuyou Fan, Ya-Juan Wu, Ze-Kuan Zhao:
SCGAN: Extract Features From Normal Semantics for Unsupervised Anomaly Detection. IEEE Access 11: 137957-137968 (2023) - [j38]Peike Wu, Renliang Sun, Aamir Fahira, Yongzhou Chen, Huiting Jiangzhou, Ke Wang, Qiangzhen Yang, Yang Dai, Dun Pan, Yongyong Shi, Zhuo Wang:
DROEG: a method for cancer drug response prediction based on omics and essential genes integration. Briefings Bioinform. 24(2) (2023) - [j37]Tao Xu, Aisong Ma, Huan Lv, Yang Dai, Shoujin Lin, Haihui Tan:
A lightweight network of near cotton-coloured impurity detection method in raw cotton based on weighted feature fusion. IET Image Process. 17(9): 2585-2595 (2023) - [j36]Caiping Liu, Yahui Long, Jianxu Mao, Hui Zhang, Ruizhi Huang, Yang Dai:
An effective image fusion algorithm based on grey relation of similarity and morphology. J. Ambient Intell. Humaniz. Comput. 14(11): 14859-14872 (2023) - [j35]Lin Zhang, Yang Dai, Fuyou Fan, Chunlin He:
Anomaly Detection of GAN Industrial Image Based on Attention Feature Fusion. Sensors 23(1): 355 (2023) - [j34]Yong Zhang, Yingbao Yang, Xin Pan, Yuan Ding, Jia Hu, Yang Dai:
Multiinformation Fusion Network for Mapping Gapless All-Sky Land Surface Temperature Using Thermal Infrared and Reanalysis Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j33]Yang Dai, Xiuli Li, Shanshan Liang, Lukang Wang, Qingtian Duan, Hui Yang, Chunqing Zhang, Xiaowei Chen, Longhui Li, Xingyi Li, Xiang Liao:
MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG. IEEE J. Biomed. Health Informatics 27(9): 4204-4215 (2023) - [c54]Brandon Edward Lukas, Yang Dai:
An Integrative Approach to Building Regulatory Potential-Weighted Gene Regulatory Networks: A Leiomyoma Case Study. BCB 2023: 23:1-23:6 - [c53]Yang Dai, Junqiu Li, Qinghui Zhang, Jian Rong:
Research on Energy Use and Saving Strategy of Forestry IoT Nodes Based on LoRa. EITCE 2023: 1640-1649 - [c52]Yang Dai, Shunmei Meng, Huanhuan Gu, Nan Liu, Longchuan Tu:
Knowledge-aware Multi-view Cross Learning for Edge-based Collaborative Recommendation. ICPADS 2023: 2483-2490 - 2022
- [j32]Yiping Wang, Yanfeng Yang, Gongpeng Cao, Jinjie Guo, Penghu Wei, Tao Feng, Yang Dai, Jinguo Huang, Guixia Kang, Guoguang Zhao:
SEEG-Net: An explainable and deep learning-based cross-subject pathological activity detection method for drug-resistant epilepsy. Comput. Biol. Medicine 148: 105703 (2022) - [j31]Penghua Hu, Aihui Wang, Yingbao Yang, Xin Pan, Xiejunde Hu, Yuncheng Chen, Xuechun Kong, Yao Bao, Xiangjin Meng, Yang Dai:
Spatiotemporal Downscaling Method of Land Surface Temperature Based on Daily Change Model of Temperature. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8360-8377 (2022) - [c51]Mehrdad Zandigohar, Yang Dai:
Information retrieval in single cell chromatin analysis using TF-IDF transformation methods. BIBM 2022: 877-882 - [c50]Yang Dai, Zhiyuan Luo:
Graph Regularization Based Multi-view Dictionary Learning for Person Re-Identification. ICAIS (1) 2022: 227-239 - [c49]Yang Dai, Shunmei Meng, Qiyan Liu, Xiao Liu:
Knowledge-aware Graph Attention Network with Distributed & Cross Learning for Collaborative Recommendation. ISPA/BDCloud/SocialCom/SustainCom 2022: 294-301 - [i5]Mehrdad Zandigohar, Yang Dai:
Information retrieval in single cell chromatin analysis using TF-IDF transformation methods. CoRR abs/2212.05184 (2022) - 2021
- [j30]Derek Reiman, Brian T. Layden, Yang Dai:
MiMeNet: Exploring microbiome-metabolome relationships using neural networks. PLoS Comput. Biol. 17(5) (2021) - [j29]Yiyao Peng, Ning Yang, Qian Xu, Yang Dai, Zhiqiang Wang:
Recent Advances in Flexible Tactile Sensors for Intelligent Systems. Sensors 21(16): 5392 (2021) - [j28]Qian Xu, Yang Dai, Yiyao Peng, Li Hong, Ning Yang, Zhiqiang Wang:
Recent Development of Multifunctional Sensors Based on Low-Dimensional Materials. Sensors 21(22): 7727 (2021) - [c48]Tina Khajeh, Derek Reiman, Ryan Morley, Yang Dai:
Integrating microbiome and metabolome data for host disease prediction via deep neural networks. BHI 2021: 1-4 - [c47]Guoqing Zhang, Yuhao Chen, Yang Dai, Yuhui Zheng, Yi Wu:
Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification. ICME 2021: 1-6 - [c46]Yang Dai, Jianqiang Wang:
Wavelet Threshold Denoising and Pseudo-range Difference-Based Weighting for Indoor BLE Positioning. SpatialDI 2021: 174-185 - [p1]Derek Reiman, Ali M. Farhat, Yang Dai:
Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach. Artificial Neural Networks, 3rd Edition 2021: 249-266 - [i4]Guoqing Zhang, Yuhao Chen, Yang Dai, Yuhui Zheng, Yi Wu:
Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification. CoRR abs/2103.11319 (2021) - [i3]Derek Reiman, Ahmed Metwally, Jun Sun, Yang Dai:
Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of features. F1000Research 10: 194 (2021) - 2020
- [j27]Hongru Yan, Huaqi Chai, Yang Dai:
A management of early warning and risk control based on data fusion for COVID-19. J. Intell. Fuzzy Syst. 39(6): 8989-8996 (2020) - [j26]Derek Reiman, Ahmed A. Metwally, Jun Sun, Yang Dai:
PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data. IEEE J. Biomed. Health Informatics 24(10): 2993-3001 (2020) - [c45]Jian Shen, Yang Dai, Xiaofeng Dong:
Research on Grid Edge Agent Based on Enhanced Analysis of Distribution Network Information Processing. CSAE 2020: 148:1-148:9 - [c44]Derek Reiman, Yang Dai:
Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome Datasets. DeLTA 2020: 103-110 - [c43]Yang Dai, Songyun Wang, Xilong Wang, Xin Li:
Microservice-Oriented Edge Server Deployment in Cloud-Edge System. SpaCCS Workshops 2020: 41-52
2010 – 2019
- 2019
- [j25]Weifeng Zhou, Juan Hou, Wei Fan, Yang Dai:
A location-based marine fishery information service based on BeiDou navigation satellite system. J. Intell. Fuzzy Syst. 37(4): 4523-4530 (2019) - [j24]Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins:
Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. PLoS Comput. Biol. 15(2) (2019) - [c42]Derek Reiman, Yang Dai:
Using Autoencoders for Predicting Latent Microbiome Community Shifts Responding to Dietary Changes. BIBM 2019: 1884-1891 - [c41]Jingting Xu, Derek Reiman, Shang Gao, Yang Dai:
Using Convolutional Neural Network to Study the Regulatory Relationship Between DNA Methylation and Gene Expression. BIBM 2019: 2399-2404 - [c40]Linfeng Xie, Yang Dai, Yongjin Zhu, Xin Li, Xiangbo Li, Zhuzhong Qian:
Cost-Efficient Task Scheduling for Geo-distributed Data Analytics. SpaCCS Workshops 2019: 95-104 - [i2]Wei Wang, Yuanhui Ma, Tao Wu, Yang Dai, Xingshu Chen, Lidia A. Braunstein:
Containing misinformation spreading in temporal social networks. CoRR abs/1904.10801 (2019) - 2018
- [j23]Ankit Jambusaria, Jeff Klomp, Zhigang Hong, Shahin Rafii, Yang Dai, Asrar B. Malik, Jalees Rehman:
A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks. BMC Bioinform. 19(1): 217:1-217:15 (2018) - [j22]Jingting Xu, Shimeng Liu, Ping Yin, Serdar Bulun, Yang Dai:
MeDEStrand: an improved method to infer genome-wide absolute methylation levels from DNA enrichment data. BMC Bioinform. 19(1): 540:1-540:12 (2018) - 2017
- [c39]Ahmed A. Metwally, Patricia W. Finn, Yang Dai, David L. Perkins:
Detection of Differential Abundance Intervals in Longitudinal Metagenomic Data Using Negative Binomial Smoothing Spline ANOVA. BCB 2017: 295-304 - [c38]Ahmed Metwally, Christian Ascoli, Kalista Andropolis, Ravi Ranjan, Yang Dai, Thomas Ferkol, Patricia W. Finn, David L. Perkins:
Microbiome Dynamics as Predictors of Lung Transplant Rejection. BCB 2017: 619 - [c37]Yang Dai, Sharukh Lokhandwala, William J. Long, Roger G. Mark, Li-Wei H. Lehman:
Phenotyping hypotensive patients in critical care using hospital discharge summaries. BHI 2017: 401-404 - [c36]Derek Reiman, Ahmed Metwally, Yang Dai:
Using convolutional neural networks to explore the microbiome. EMBC 2017: 4269-4272 - 2016
- [i1]Xin Yuan, Yang Dai, Harry Eugene Stanley, Shlomo Havlin:
$k$-core percolation on complex networks: Comparing random, localized and targeted attacks. CoRR abs/1605.06386 (2016) - 2015
- [j21]Hong Hu, Jingting Xu, Yang Dai:
Regulatory Elements in Low-Methylated Regions Predict Directional Change of Gene Expression. IEEE J. Biomed. Health Informatics 19(4): 1293-1300 (2015) - [c35]Xian Cheng, Stephen Shaoyi Liao, Yiteng Xu, Zhongsheng Hua, Yang Dai:
Contagion in a Financial System. ISD 2015 - 2014
- [c34]Peter E. Larsen, Frank R. Collart, Yang Dai:
Using metabolomic and transportomic modeling and machine learning to identify putative novel therapeutic targets for antibiotic resistant Pseudomonad infections. EMBC 2014: 314-317 - [c33]Hong Hu, Yang Dai:
Exploring regulatory elements in low-methylated regions for gene expression prediction. EMBC 2014: 4763-4766 - [c32]Hong Hu, Yang Dai:
A Model-based approach to transcription regulatory network reconstruction from time-course gene expression data. EMBC 2014: 4767-4770 - [c31]Xian Chen, Stephen Shaoyi Liao, Wei Dong, Yang Dai, Xiaolu Yang:
Focusing on Centrality Measure in Emergency Medical Services. PACIS 2014: 191 - 2013
- [c30]Qing Wu, Yang Dai, Jun Chen, Zhuo Chen:
Parallel Computation Efficiency Analysis of Numerical Simulation of Copper Flash Smelting Furnace. HPCC/EUC 2013: 1953-1957 - 2011
- [c29]Damian Roqueiro, Lei Huang, Yang Dai:
Identifying Transcription Factors and microRNAs as Key Regulators of Pathways Using Bayesian Inference on Known Pathway Structures. BIBM 2011: 228-233 - [c28]Lei Huang, Damian Roqueiro, Yang Dai:
Analyzing mRNA and microRNA co-expression profiles to identify pathways and their potential regulators in ER+ and ER- breast tumors. EMBC 2011: 932-935 - [c27]Joel B. Fontanarosa, Yang Dai:
An evolutionary optimization strategy using graphics processing units to efficiently investigate gene-gene interactions in genetic association studies. EMBC 2011: 5547-5550 - [c26]Hong Hu, Damian Roqueiro, Yang Dai:
Prioritizing predicted cis-regulatory elements for co-expressed gene sets based on Lasso regression models. EMBC 2011: 6853-6856 - [c25]Maria Aina, Yang Dai, Dobrila Petrovic:
Analysis of interrelationships between Suppliers configuration and performance within the supply network: A simulation approach. ICAC 2011: 300-305 - 2010
- [j20]Peter E. Larsen, Frank Collart, Yang Dai:
Incorporating Network Topology Improves Prediction of Protein Interaction Networks from Transcriptomic Data. Int. J. Knowl. Discov. Bioinform. 1(3): 1-19 (2010) - [c24]Oleksiy Karpenko, Yang Dai:
Relational database index choices for genome annotation data. BIBM Workshops 2010: 264-268 - [c23]Joel Fontanarosa, Yang Dai:
A block-based evolutionary optimization strategy to investigate gene-gene interactions in genetic association studies. BIBM Workshops 2010: 330-335 - [c22]Damian Roqueiro, Jonna Frasor, Yang Dai:
BindSDb: A binding-information spatial database. BIBM Workshops 2010: 573-578 - [c21]Yang Dai, Wei-jun Zhong:
Game Model Analysis of Government Incentive Measures to Enterprises Technological Innovation. ICEE 2010: 4086-4088
2000 – 2009
- 2009
- [j19]Yang Dai, Yunze Cai, Xiaoming Xu:
Synchronization and exponential estimates of complex networks with mixed time-varying coupling delays. Int. J. Autom. Comput. 6(3): 301 (2009) - [c20]Shantanu Dutt, Yang Dai, Huan Ren, Joel Fontanarosa:
Selection of Multiple SNPs in Case-Control Association Study Using a Discretized Network Flow Approach. BICoB 2009: 211-223 - [c19]Yang Dai, Yunze Cai, Xiaoming Xu:
Synchronization of Complex Networks with Time-Varying Coupling Delay via Impulsive Control. Complex (1) 2009: 912-923 - [c18]Yang Dai, Yunze Cai, Xiaoming Xu:
Global Synchronization of Generalized Complex Networks with Mixed Coupling Delays. Complex (1) 2009: 1001-1010 - [c17]Peter E. Larsen, Yang Dai:
Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks. ISBRA 2009: 40-51 - 2008
- [j18]Guanrao Chen, Peter E. Larsen, Eyad Almasri, Yang Dai:
Rank-based edge reconstruction for scale-free genetic regulatory networks. BMC Bioinform. 9 (2008) - [j17]José L. Balcázar, Yang Dai, Junichi Tanaka, Osamu Watanabe:
Provably Fast Training Algorithms for Support Vector Machines. Theory Comput. Syst. 42(4): 568-595 (2008) - [c16]Eyad Almasri, Peter E. Larsen, Guanrao Chen, Yang Dai:
Incorporating Literature Knowledge in Bayesian Network for Inferring Gene Networks with Gene Expression Data. ISBRA 2008: 184-195 - [c15]Peter E. Larsen, Eyad Almasri, Guanrao Chen, Yang Dai:
Incorporating Knowledge of Topology Improves Reconstruction of Interaction Networks from Microarray Data. ISBRA 2008: 434-443 - 2007
- [j16]Peter E. Larsen, Eyad Almasri, Guanrao Chen, Yang Dai:
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments. BMC Bioinform. 8 (2007) - 2006
- [j15]Zhengdeng Lei, Yang Dai:
Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction. BMC Bioinform. 7: 491 (2006) - [j14]Lei Huang, Yang Dai:
Direct Prediction of T-cell Epitopes Using Support Vector Machines with Novel Sequence Encoding Schemes. J. Bioinform. Comput. Biol. 4(1): 93-108 (2006) - [c14]Lei Huang, Oleksiy Karpenko, Naveen Murugan, Yang Dai:
A Meta-predictor for MHC Class II Binding Peptides Based on Naive Bayesian Approach. EMBC 2006: 5322-5325 - [c13]Guanrao Chen, Peter E. Larsen, Eyad Almasri, Yang Dai:
Sample Scale-Free Gene Regulatory Network Using Gene Ontology. EMBC 2006: 5523-5526 - [c12]Peter E. Larsen, Eyad Almasri, Guanrao Chen, Yang Dai:
Correlated Discretized Expression Score: A Method for Identifying Gene Interaction Networks from Time Course Microarray Expression Data. EMBC 2006: 5842-5845 - 2005
- [j13]Oleksiy Karpenko, Jianming Shi, Yang Dai:
Prediction of MHC class II binders using the ant colony search strategy. Artif. Intell. Medicine 35(1-2): 147-156 (2005) - [j12]Zhengdeng Lei, Yang Dai:
An SVM-based system for predicting protein subnuclear localizations. BMC Bioinform. 6: 291 (2005) - [j11]Robert E. Langlois, Alice Diec, Ognjen Perisic, Yang Dai, Hui Lu:
Improved protein fold assignment using support vector machines. Int. J. Bioinform. Res. Appl. 1(3): 319-334 (2005) - [j10]Danny Z. Chen, Ovidiu Daescu, Yang Dai, Naoki Katoh, Xiaodong Wu, Jinhui Xu:
Efficient Algorithms and Implementations for Optimizing the Sum of Linear Fractional Functions, with Applications. J. Comb. Optim. 9(1): 69-90 (2005) - [j9]Yang Dai, Jianming Shi, Shouyang Wang:
Conical Partition Algorithm for Maximizing the Sum of dc Ratios. J. Glob. Optim. 31(2): 253-270 (2005) - [j8]Zhengdeng Lei, Yang Dai:
A Class of New Kernels Based on High-Scored Pairs of k-Peptides for SVMs and Its Application for Prediction of Protein Subcellular Localization. Trans. Comp. Sys. Biology 2: 48-58 (2005) - [c11]Lei Huang, Yang Dai:
A support vector machine approach for prediction of T Cell epitopes. APBC 2005: 319-328 - [c10]Zhengdeng Lei, Yang Dai:
A New Kernel Based on High-Scored Pairs of Tri-peptides and Its Application in Prediction of Protein Subcellular Localization. International Conference on Computational Science (2) 2005: 903-910 - 2004
- [c9]Zhengdeng Lei, Yang Dai:
A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Machines. BIOKDD 2004: 11-17 - 2003
- [c8]Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Building Text Classifiers Using Positive and Unlabeled Examples. ICDM 2003: 179-188 - [c7]Hsiao-Mei Lu, Sumeet Gupta, Yang Dai:
Reducing large diagonals in kernel matrices through semidefinite programming. BIOKDD 2003: 57-62 - [c6]Lei Huang, Hsiao-Mei Lu, Yang Dai:
Feature Selection of Support Vector Regression for Quantitative Structure-Activity Relationships (QSAR). METMBS 2003: 88-93 - 2001
- [c5]José L. Balcázar, Yang Dai, Osamu Watanabe:
A Random Sampling Technique for Training Support Vector Machines. ALT 2001: 119-134 - [c4]José L. Balcázar, Yang Dai, Osamu Watanabe:
Provably Fast Training Algorithms for Support Vector Machines. ICDM 2001: 43-50 - 2000
- [j7]Yang Dai, Naoki Katoh, Siu-Wing Cheng:
LMT-skeleton heuristics for several new classes of optimal triangulations. Comput. Geom. 17(1-2): 51-68 (2000) - [c3]Danny Z. Chen, Ovidiu Daescu, Yang Dai, Naoki Katoh, Xiaodong Wu, Jinhui Xu:
Optimizing the sum of linear fractional functions and applications. SODA 2000: 707-716
1990 – 1999
- 1998
- [c2]Yang Dai, Naoki Katoh:
On Computing New Classes of Optimal Trangulations with Angular Constraints. COCOON 1998: 15-24 - 1997
- [j6]Yang Dai, Kazuo Iwano, Naoki Katoh:
A New Probabilistic Analysis of Karger's Randomized Algorithm for Minimum Cut Problems. Inf. Process. Lett. 64(5): 255-261 (1997) - 1996
- [j5]Yang Dai, Hiroshi Imai, Kazuo Iwano, Naoki Katoh, Keiji Ohtsuka, Nobuhiko Yoshimura:
A New Unifying Heuristic Algorithm for the Undirected Minimum Cut Problems Using Minimum Range Cut Algorithms. Discret. Appl. Math. 65(1-3): 167-190 (1996) - 1994
- [j4]Yang Dai, Yoshitsugu Yamamoto:
A continuous deformation algorithm for variational inequality problems on polytopes. Math. Program. 64: 103-122 (1994) - 1993
- [j3]Yang Dai, Dolf Talman:
Linear Stationary Point Problems on Unbounded Polyhedra. Math. Oper. Res. 18(3): 635-644 (1993) - [c1]Yang Dai, Hiroshi Imai, Kazuo Iwano, Naoki Katoh:
How to Treat Delete Requests in Semi-Online Problems. ISAAC 1993: 48-57 - 1992
- [j2]Yang Dai, Kazuyuki Sekitani, Yoshitsugu Yamamoto:
A variable dimension algorithm with the Dantzig-Wolfe decomposition for structured stationary point problems. ZOR Methods Model. Oper. Res. 36(1): 23-53 (1992) - 1991
- [j1]Yang Dai, Gerard van der Laan, A. J. J. Talman, Yoshitsugu Yamamoto:
A Simplicial Algorithm for the Nonlinear Stationary Point Problem on an Unbounded Polyhedron. SIAM J. Optim. 1(2): 151-165 (1991)
Coauthor Index
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