Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDXuequn Shang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j44]Jialu Hu, Yuanke Zhong, Xuequn Shang:
A versatile and scalable single-cell data integration algorithm based on domain-adversarial and variational approximation. Briefings Bioinform. 23(1) (2022)- [j43]Wei Wang, Ruijiang Han, Menghan Zhang, Yuxian Wang, Tao Wang, Yongtian Wang, Xuequn Shang, Jiajie Peng:
A network-based method for brain disease gene prediction by integrating brain connectome and molecular network. Briefings Bioinform. 23(1) (2022) - [j42]Tao Wang, Yongzhuang Liu, Quanwei Yin, Jiaquan Geng, Jin Chen, Xipeng Yin, Yongtian Wang, Xuequn Shang, Chunwei Tian, Yadong Wang, Jiajie Peng:
Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation. Briefings Bioinform. 23(1) (2022) - [j41]Jiajie Peng, Jinjin Yang, D. Vijay Anand, Xuequn Shang, Kelin Xia:
Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis. Frontiers Comput. Sci. 16(4): 164902 (2022) - 2021
- [j40]Jiajie Peng
, Hansheng Xue, Zhongyu Wei, Idil Tuncali, Jianye Hao, Xuequn Shang:
Integrating multi-network topology for gene function prediction using deep neural networks. Briefings Bioinform. 22(2): 2096-2105 (2021) - [j39]Jiajie Peng, Yuxian Wang, Jiaojiao Guan, Jingyi Li, Ruijiang Han, Jianye Hao, Zhongyu Wei, Xuequn Shang:
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction. Briefings Bioinform. 22(5) (2021) - [j38]Shuhui Liu, Yupei Zhang, Xuequn Shang, Zhaolei Zhang:
ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes. Briefings Bioinform. 22(6) (2021) - [j37]Yan Zheng, Yuanke Zhong, Jialu Hu, Xuequn Shang:
SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model. BMC Bioinform. 22(1): 5 (2021) - [j36]Jiajie Peng, Lu Han, Xuequn Shang:
A novel method for predicting cell abundance based on single-cell RNA-seq data. BMC Bioinform. 22-S(9): 281 (2021) - [j35]Lingyun Song, Jun Liu, Mingxuan Sun, Xuequn Shang:
Weakly Supervised Group Mask Network for Object Detection. Int. J. Comput. Vis. 129(3): 681-702 (2021) - [j34]Bo Yang, Yupei Zhang, Shanmin Pang, Xuequn Shang, Xueqing Zhao, Minghui Han:
Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 216-226 (2021) - [c50]Yue Yun, Huan Dai, Ruoqi Cao, Yupei Zhang, Xuequn Shang:
Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection. AIED (2) 2021: 417-421 - [c49]Shuhui Liu, Yupei Zhang, Jiajie Peng, Xuequn Shang:
DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification. BIBM 2021: 1865-1872 - [c48]Tao Wang, Zhiyuan Shao, Yifu Xiao, Xuchao Zhang, Yitian Chen, Binze Shi, Siyu Chen, Yuxian Wang, Jiajie Peng, Xuequn Shang:
Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations. BIBM 2021: 1892-1898 - [c47]Bolin Chen, Manting Yang, Xuequn Shang:
Identifying functional evolution processes of cancer according to regression residuals network. BIBM 2021: 3713-3719 - [c46]Huan Dai, Yupei Zhang, Yue Yun, Rui An, Xuequn Shang:
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space. IEEE BigData 2021: 1589-1594 - [c45]Yupei Zhang, Yaya Zhou, Min Xiao, Xuequn Shang:
Comment Text Grading for Chinese Graduate Academic Dissertation Using Attention Convolutional Neural Networks. ICSAI 2021: 1-6 - [c44]Yupei Zhang, Rui An, Jiaqi Cui, Xuequn Shang:
Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks. LAK 2021: 462-468 - [c43]Huan Dai, Yupei Zhang, Yue Yun, Xuequn Shang:
An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery. PRICAI (2) 2021: 362-375 - 2020
- [j33]Jiajie Peng, Junya Lu, Donghee Hoh, Ayesha S. Dina, Xuequn Shang, David M. Kramer, Jin Chen:
Identifying emerging phenomenon in long temporal phenotyping experiments. Bioinform. 36(2): 568-577 (2020) - [j32]Yang Qi, Yang Guo, Huixin Jiao, Xuequn Shang:
A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data. BMC Bioinform. 21(1): 240 (2020) - [j31]Yuanke Zhong, Jing Li, Junhao He, Yiqun Gao, Jie Liu, Jingru Wang, Xuequn Shang, Jialu Hu:
Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks. BMC Bioinform. 21-S(13): 385 (2020) - [j30]Jiajie Peng, Jingyi Li, Xuequn Shang:
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network. BMC Bioinform. 21-S(13): 394 (2020) - [j29]Bolin Chen, Manting Yang, Li Gao, Tao Jiang, Xuequn Shang:
A functional network construction method to interpret the pathological process of colorectal cancer. Int. J. Data Min. Bioinform. 23(3): 251-264 (2020) - [j28]Samer Abdulateef, Naseer Ahmed Khan, Bolin Chen, Xuequn Shang:
Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy. Inf. 11(2): 59 (2020) - [j27]Samer Abdulateef, Naseer Ahmed Khan, Bolin Chen, Xuequn Shang:
Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary. Inf. 11(5): 281 (2020) - [j26]Yupei Zhang, Huan Dai, Yue Yun, Shuhui Liu, Andrew S. Lan, Xuequn Shang:
Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis. Knowl. Based Syst. 205: 106290 (2020) - [c42]Xinpeng Guo, Yanli Lu, Zhilei Yin, Xuequn Shang:
IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information. ADMA 2020: 560-568 - [c41]Bolin Chen, Li Gao, Xuequn Shang:
A Machine Learning Based Method to Identify Differentially Expressed Genes. ICIC (2) 2020: 21-31 - [c40]Bolin Chen, Teng Wang, Xuequn Shang:
Identification and Analysis of Genes Involved in Stages of Colon Cancer. ICIC (2) 2020: 161-172
2010 – 2019
- 2019
- [j25]Jiajie Peng, Weiwei Hui, Qianqian Li, Bolin Chen, Jianye Hao, Qinghua Jiang, Xuequn Shang, Zhongyu Wei:
A learning-based framework for miRNA-disease association identification using neural networks. Bioinform. 35(21): 4364-4371 (2019) - [j24]Jialu Hu, Jingru Wang, Jianan Lin, Tianwei Liu, Yuanke Zhong, Jie Liu, Yan Zheng, Yiqun Gao, Junhao He, Xuequn Shang:
MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites. BMC Bioinform. 20-S(7): 41-48 (2019) - [j23]Chaima Aouiche, Bolin Chen, Xuequn Shang:
Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets. BMC Bioinform. 20-S(7): 97-107 (2019) - [j22]Jiajie Peng, Xiaoyu Wang, Xuequn Shang:
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data. BMC Bioinform. 20-S(8): 284:1-284:12 (2019) - [j21]Jialu Hu, Yiqun Gao, Jing Li, Yan Zheng, Jingru Wang, Xuequn Shang:
A novel algorithm based on bi-random walks to identify disease-related lncRNAs. BMC Bioinform. 20-S(18): 569:1-569:11 (2019) - [j20]Jiajie Peng, Guilin Lu, Hansheng Xue, Tao Wang, Xuequn Shang:
TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology. BMC Bioinform. 20-S(18): 572:1-572:7 (2019) - [j19]Shiquan Sun, Yabo Chen, Yang Liu, Xuequn Shang:
A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data. BMC Syst. Biol. 13-S(2): 28:1-28:8 (2019) - [j18]Hansheng Xue, Jiajie Peng, Xuequn Shang:
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO. BMC Syst. Biol. 13-S(2): 34:1-34:12 (2019) - [j17]Yang Guo, Xuequn Shang, Zhanhuai Li:
Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer. Neurocomputing 324: 20-30 (2019) - [c39]Hansheng Xue, Jiajie Peng, Xuequn Shang:
Towards Gene Function Prediction via Multi-Networks Representation Learning. AAAI 2019: 10069-10070 - [c38]Bolin Chen, Manting Yang, Li Gao, Xuequn Shang:
Identifying functional evolution processes according to the pathological stages of colorectal cancer. BIBM 2019: 193-196 - [c37]Yuanke Zhong, Jing Li, Jie Liu, Yan Zheng, Xuequn Shang, Jialu Hu:
Deep learning enables accurate alignment of single cell RNA-seq data. BIBM 2019: 778-781 - [c36]Shiquan Sun, Yang Liu, Xuequn Shang:
Deep generative autoencoder for low-dimensional embeding extraction from single-cell RNAseq data. BIBM 2019: 1365-1372 - [c35]Jiajie Peng, Lu Han, Xuequn Shang:
A deconvolution method for predicting cell abundance based on single cell RNA-seq data. BIBM 2019: 1769-1773 - [c34]Hansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang:
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. CIKM 2019: 2117-2120 - [c33]Yupei Zhang, Huan Dai, Yue Yun, Xuequn Shang:
Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning. EDM 2019 - [c32]Bolin Chen, Li Gao, Xuequn Shang:
Identifying Differentially Expressed Genes Based on Differentially Expressed Edges. ICIC (2) 2019: 105-115 - [c31]Bolin Chen, Chenfei Wang, Li Gao, Xuequn Shang:
A Flexible and Comprehensive Platform for Analyzing Gene Expression Data. IDMB 2019: 170-183 - [c30]Bolin Chen, Chaima Aouiche, Xuequn Shang:
Integrating Multiple Datasets to Discover Stage-Specific Cancer Related Genes and Stage-Specific Pathways. IWBBIO (1) 2019: 240-250 - 2018
- [j16]Jialu Hu, Yiqun Gao, Junhao He, Yan Zheng, Xuequn Shang:
WebNetCoffee: a web-based application to identify functionally conserved proteins from Multiple PPI networks. BMC Bioinform. 19(1): 422:1-422:6 (2018) - [j15]Jiajie Peng, Weiwei Hui, Xuequn Shang:
Measuring phenotype-phenotype similarity through the interactome. BMC Bioinform. 19-S(5): 65-77 (2018) - [j14]Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang:
BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data. BMC Bioinform. 19-S(5): 118:1-118:13 (2018) - [j13]Jialu Hu, Yiqun Gao, Yan Zheng, Xuequn Shang:
KF-finder: identification of key factors from host-microbial networks in cervical cancer. BMC Syst. Biol. 12(4): 41-48 (2018) - [j12]Jiajie Peng, Xuanshuo Zhang, Weiwei Hui, Junya Lu, Qianqian Li, Shuhui Liu, Xuequn Shang:
Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach. BMC Syst. Biol. 12(S-2): 109-116 (2018) - [j11]Chaima Aouiche, Xuequn Shang, Bolin Chen:
Copy number variation related disease genes. Quant. Biol. 6(2): 99-112 (2018) - [c29]Bo Yang, Shuhui Liu, Shanmin Pang, Chenpai Pang, Xuequn Shang:
Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes. BIBM 2018: 566-571 - [c28]Yiqun Gao, Jialu Hu, Xuequn Shang:
Identification of lncRNA-disease association using bi-random walks. BIBM 2018: 1249-1255 - [c27]Jiajie Peng, Guilin Lu, Hansheng Xue, Tao Wang, Xuequn Shang:
TSGOE: A web tool for tissue-specific gene ontology enrichment. BIBM 2018: 1266-1269 - [c26]Jialu Hu, Junhao He, Yiqun Gao, Yan Zheng, Xuequn Shang:
NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors. ICIC (2) 2018: 241-246 - [c25]Shuhui Liu, Xuequn Shang:
Hierarchical Similarity Network Fusion for Discovering Cancer Subtypes. ISBRA 2018: 125-136 - [c24]Yupei Zhang, Shuhui Liu, Xuequn Shang, Ming Xiang:
Low-Rank Graph Regularized Sparse Coding. PRICAI (1) 2018: 177-190 - [i1]Hansheng Xue, Jiajie Peng, Xuequn Shang:
Deep Feature Learning of Multi-Network Topology for Node Classification. CoRR abs/1809.02394 (2018) - 2017
- [j10]Jiajie Peng, Qianqian Li, Xuequn Shang:
Investigations on factors influencing HPO-based semantic similarity calculation. J. Biomed. Semant. 8-S(1): 61-69 (2017) - [j9]Jiajie Peng, Honggang Wang, Junya Lu, Weiwei Hui, Yadong Wang, Xuequn Shang:
Identifying term relations cross different gene ontology categories. BMC Bioinform. 18(16): 67-74 (2017) - [j8]Jiajie Peng, Hansheng Xue, Yukai Shao, Xuequn Shang, Yadong Wang, Jin Chen:
A novel method to measure the semantic similarity of HPO terms. Int. J. Data Min. Bioinform. 17(2): 173-188 (2017) - [j7]Bo Yang, Xuequn Shang, Shanmin Pang:
Isometric hashing for image retrieval. Signal Process. Image Commun. 59: 117-130 (2017) - [c23]Jialu Hu, Yan Zheng, Xuequn Shang:
MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements on a genome-wide scale. BIBM 2017: 164-168 - [c22]Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang:
Towards the classification of cancer subtypes by using cascade deep forest model in gene expression data. BIBM 2017: 1664-1669 - [c21]Jiajie Peng, Weiwei Hui, Xuequn Shang:
Measuring phenotype-phenotype similarity through the interactome. BIBM 2017: 1674-1677 - [c20]Bolin Chen, Yuqiong Jin, Xuequn Shang:
Net2Image: A Network Representation Method for Identifying Cancer-Related Genes. ISBRA 2017: 337-343 - 2016
- [j6]Xuequn Shang, Yu Wang, Bolin Chen:
Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets. Sci. China Inf. Sci. 59(7): 070106:1-070106:11 (2016) - [j5]Tao Jiang, Zhanhuai Li, Xuequn Shang, Bolin Chen, Weibang Li, Zhilei Yin:
Constrained query of order-preserving submatrix in gene expression data. Frontiers Comput. Sci. 10(6): 1052-1066 (2016) - [j4]Tao Jiang, Zhanhuai Li, Xuequn Shang, Bolin Chen, Weibang Li:
基因表达数据中局部模式的查询 (Local Pattern Query from Gene Expression Data). 计算机科学 43(7): 191-196 (2016) - [c19]Jiajie Peng, Hansheng Xue, Yukai Shao, Xuequn Shang, Yadong Wang, Jin Chen:
Measuring phenotype semantic similarity using Human Phenotype Ontology. BIBM 2016: 763-766 - [c18]Jiajie Peng, Qianqian Li, Bolin Chen, Jialu Hu, Xuequn Shang:
Analyzing factors involved in the HPO-based semantic similarity calculation. BIBM 2016: 1653-1656 - 2015
- [c17]Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu:
A two-step logistic regression algorithm for identifying individual-cancer-related genes. BIBM 2015: 195-200 - 2014
- [c16]Yang Guo, Xuequn Shang, Qingping Zhu, Mingkui Huang, Zhanhuai Li:
Identification of protein complexes and functional modules in integrated PPI networks. BIBM 2014: 8-15 - 2013
- [c15]Yang Guo, Xuequn Shang, Jing Li, Zhanhuai Li:
Revealing the Causes of Dynamic Change in Protein-Protein Interaction Network. BigData Congress 2013: 189-194 - 2011
- [j3]Miao Wang, Xuequn Shang, Zhanhuai Li:
MFC: Mining Maximal Frequent Dense Subgraphs without Candidate Maintenance in Imbalanced PPI Networks. J. Softw. 6(3): 498-507 (2011) - [c14]Miao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu:
FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset. ICDM Workshops 2011: 1075-1082 - [c13]Miao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu:
MFCluster: Mining Maximal Fault-Tolerant Constant Row Biclusters in Microarray Dataset. WAIM 2011: 181-190 - 2010
- [j2]Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li:
Efficient Mining Frequent Closed Discriminative Biclusters by Sample-Growth: The FDCluster Approach. Int. J. Knowl. Discov. Bioinform. 1(4): 69-88 (2010) - [c12]Miao Wang, Xuequn Shang, Jingni Diao, Zhanhuai Li:
WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray Dataset. DMIN 2010: 200-205 - [c11]Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li:
FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets. ICDM Workshops 2010: 779-786
2000 – 2009
- 2009
- [c10]Xuequn Shang, Qian Zhao, Zhanhuai Li:
Mining High-Correlation Association Rules for Inferring Gene Regulation Networks. DaWaK 2009: 244-255 - [c9]Xuequn Shang, Zhanhuai Li, Wei Li:
Mining functional associated patterns from biological network data. SAC 2009: 1488-1489 - 2008
- [c8]Miao Wang, Xuequn Shang, Zhanhuai Li:
Sequential Pattern Mining for Protein Function Prediction. ADMA 2008: 652-658 - 2007
- [j1]Xuequn Shang, Kai-Uwe Sattler:
Processing Sequential Patterns in Relational Databases. J. Data Semant. 8: 203-217 (2007) - [c7]Xuequn Shang:
A Survey of Frequent Pattern Mining for Biological Datasets. DMIN 2007: 242-248 - 2005
- [b1]Xuequn Shang:
SQL based frequent pattern mining. Otto-von-Guericke University Magdeburg, Germany, 2005, pp. 1-127 - [c6]Xuequn Shang, Kai-Uwe Sattler:
Processing Sequential Patterns in Relational Databases. DaWaK 2005: 438-447 - [c5]Xuequn Shang, Kai-Uwe Sattler:
Frequent Itemset Mining with Parallel RDBMS. PAKDD 2005: 539-544 - [c4]Xuequn Shang, Kai-Uwe Sattler:
Depth-first frequent itemset mining in relational databases. SAC 2005: 1112-1117 - 2004
- [c3]Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist:
Efficient Frequent Pattern Mining in Relational Databases. LWA 2004: 84-91 - [c2]Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist:
SQL based frequent pattern mining without candidate generation. SAC 2004: 618-619 - [c1]Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist:
SQL Based Frequent Pattern Mining with FP-Growth. INAP/WLP 2004: 32-46
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2022-03-20 21:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp has been originally created in 1993 at:
since 2018, dblp is operated and maintained by:
the dblp computer science bibliography is funded and supported by:
