default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChenjuan Guo
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j24]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. 17(9): 2363-2377 (2024)- [j23]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proc. VLDB Endow. 17(11): 2708-2721 (2024) - [j22]Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen:
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. Proc. VLDB Endow. 17(11): 2893-2905 (2024) - [j21]Xinle Wu, Xingjian Wu, Bin Yang
, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen:
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. 33(5): 1743-1770 (2024) - [c32]Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang:
Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CIKM 2024: 3892-3896 - [c31]Buang Zhang, Xinle Wu, Hao Miao, Chenjuan Guo, Bin Yang:
Dependency-Aware Differentiable Neural Architecture Search. ECCV (55) 2024: 219-236 - [c30]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE 2024: 1050-1062 - [c29]Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp:
Routing with Massive Trajectory Data. ICDE 2024: 5542-5547 - [c28]Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo:
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR 2024 - [c27]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. ECML/PKDD (10) 2024: 231-246 - [i34]Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo:
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. CoRR abs/2402.05956 (2024) - [i33]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR abs/2403.20150 (2024) - [i32]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR abs/2404.13990 (2024) - [i31]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR abs/2404.14999 (2024) - [i30]Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR abs/2405.15273 (2024) - [i29]Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR abs/2405.17478 (2024) - [i28]Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen:
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. CoRR abs/2407.06881 (2024) - [i27]Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang:
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CoRR abs/2407.20053 (2024) - [i26]Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang:
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR abs/2410.11802 (2024) - [i25]Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang:
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching. CoRR abs/2410.12261 (2024) - [i24]Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo:
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR abs/2410.15997 (2024) - [i23]Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang:
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. CoRR abs/2410.16888 (2024) - [i22]Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang:
Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. CoRR abs/2410.19892 (2024) - [i21]Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. CoRR abs/2410.20905 (2024) - 2023
- [j20]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1(1): 97:1-97:26 (2023) - [j19]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1(2): 171:1-171:27 (2023) - [j18]Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang:
MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 16(12): 3808-3821 (2023) - [j17]Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang:
Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. 17(4): 753-765 (2023) - [j16]Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen:
Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. 17(4): 766-779 (2023) - [j15]Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li:
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. IEEE Trans. Knowl. Data Eng. 35(10): 10125-10139 (2023) - [c26]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. KDD 2023: 2999-3010 - [i20]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR abs/2302.12721 (2023) - [i19]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang:
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. CoRR abs/2306.05344 (2023) - [i18]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. CoRR abs/2307.10171 (2023) - 2022
- [j14]Sean Bin Yang, Chenjuan Guo, Bin Yang:
Context-Aware Path Ranking in Road Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3153-3168 (2022) - [c25]Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen:
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. ICDE 2022: 1342-1354 - [c24]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen:
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE 2022: 2873-2885 - [c23]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. ICDE 2022: 2900-2913 - [c22]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng:
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE 2022: 3038-3050 - [c21]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan:
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. IJCAI 2022: 1994-2001 - [c20]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. KDD 2022: 2120-2129 - [c19]Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang:
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS 2022 - [c18]Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW 2022: 1933-1943 - [i17]Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. CoRR abs/2203.15737 (2022) - [i16]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen:
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. CoRR abs/2203.16110 (2022) - [i15]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng:
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. CoRR abs/2204.03341 (2022) - [i14]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan:
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. CoRR abs/2204.13767 (2022) - [i13]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR abs/2206.11477 (2022) - [i12]Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen:
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. CoRR abs/2209.04635 (2022) - [i11]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR abs/2211.16126 (2022) - [i10]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang:
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR abs/2212.04058 (2022) - [i9]Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng:
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR abs/2212.10306 (2022) - 2021
- [j13]David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen:
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15(3): 611-623 (2021) - [j12]Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen:
AutoCTS: Automated Correlated Time Series Forecasting. Proc. VLDB Endow. 15(4): 971-983 (2021) - [c17]Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan:
EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. ICDE 2021: 1739-1750 - [c16]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI 2021: 3286-3292 - [i8]Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang:
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. CoRR abs/2103.10760 (2021) - [i7]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR abs/2106.09373 (2021) - [i6]David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen:
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR abs/2111.11108 (2021) - [i5]Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen:
AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. CoRR abs/2112.11174 (2021) - 2020
- [j11]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen:
Context-aware, preference-based vehicle routing. VLDB J. 29(5): 1149-1170 (2020) - [c15]Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong:
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. ICDE 2020: 1417-1428 - [c14]Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas Højriis Knudsen, Nichlas Ørts Lisby, Chenjuan Guo, Bin Yang:
A Correlated Time Series Forecast System. MDM 2020: 242-243
2010 – 2019
- 2019
- [j10]Lu Chen, Yunjun Gao, Ziquan Fang, Xiaoye Miao, Christian S. Jensen, Chenjuan Guo:
Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories. Proc. VLDB Endow. 12(10): 1208-1220 (2019) - [c13]Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE 2019: 1274-1285 - [c12]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. IJCAI 2019: 2725-2732 - 2018
- [j9]Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, Jilin Hu:
PACE: a PAth-CEntric paradigm for stochastic path finding. VLDB J. 27(2): 153-178 (2018) - [j8]Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. VLDB J. 27(2): 179-200 (2018) - [c11]Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. CIKM 2018: 863-872 - [c10]Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang:
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. CIKM 2018: 1527-1530 - [c9]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets. ICDE 2018: 1073-1084 - [i4]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR abs/1802.07980 (2018) - [i3]Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang:
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. CoRR abs/1808.09794 (2018) - [i2]Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen:
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. CoRR abs/1811.05157 (2018) - 2016
- [j7]Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu:
Path Cost Distribution Estimation Using Trajectory Data. Proc. VLDB Endow. 10(3): 85-96 (2016) - [c8]Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. EDBT 2016: 449-460 - 2015
- [j6]Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp:
EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. GeoInformatica 19(3): 567-599 (2015) - [j5]Bin Yang, Chenjuan Guo, Yu Ma, Christian S. Jensen:
Toward personalized, context-aware routing. VLDB J. 24(2): 297-318 (2015) - [c7]Jian Dai, Bin Yang, Chenjuan Guo, Zhiming Ding:
Personalized route recommendation using big trajectory data. ICDE 2015: 543-554 - [c6]Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp:
EcoSky: Reducing vehicular environmental impact through eco-routing. ICDE 2015: 1412-1415 - [i1]Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Efficient and Accurate Path Cost Estimation Using Trajectory Data. CoRR abs/1510.02886 (2015) - 2014
- [j4]Chenjuan Guo, Christian S. Jensen, Bin Yang:
Towards Total Traffic Awareness. SIGMOD Rec. 43(3): 18-23 (2014) - [c5]Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang:
Stochastic skyline route planning under time-varying uncertainty. ICDE 2014: 136-147 - 2013
- [j3]Bin Yang, Chenjuan Guo, Christian S. Jensen:
Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models. Proc. VLDB Endow. 6(9): 769-780 (2013) - [j2]Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes:
EvoMatch: An Evolutionary Algorithm for Inferring Schematic Correspondences. Trans. Large Scale Data Knowl. Centered Syst. 12: 1-26 (2013) - [c4]Chenjuan Guo, Cornelia Hedeler, Norman W. Paton, Alvaro A. A. Fernandes:
MatchBench: Benchmarking Schema Matching Algorithms for Schematic Correspondences. BNCOD 2013: 92-106 - [p1]Cornelia Hedeler, Alvaro A. A. Fernandes, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Norman W. Paton, Suzanne M. Embury:
A Functional Model for Dataspace Management Systems. Advanced Query Processing (1) 2013: 305-341 - 2012
- [j1]Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Chenjuan Guo, Ian Arundale, Bernadette Farias Lóscio, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury:
DSToolkit: An Architecture for Flexible Dataspace Management. Trans. Large Scale Data Knowl. Centered Syst. 5: 126-157 (2012) - [c3]Chenjuan Guo, Yu Ma, Bin Yang, Christian S. Jensen, Manohar Kaul:
EcoMark: evaluating models of vehicular environmental impact. SIGSPATIAL/GIS 2012: 269-278 - 2011
- [b1]Chenjuan Guo:
Inferring information about correspondences between data sources for dataspaces. University of Manchester, UK, 2011 - [c2]Cornelia Hedeler, Khalid Belhajjame, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury, Lu Mao, Chenjuan Guo:
Pay-as-you-go mapping selection in dataspaces. SIGMOD Conference 2011: 1279-1282 - 2010
- [c1]Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Norman W. Paton, Alvaro A. A. Fernandes, Chenjuan Guo, Suzanne M. Embury:
Flexible Dataspace Management Through Model Management. EDBT/ICDT Workshops 2010
Coauthor Index
[j24] [j23] [j22] [j21] [c32] [c31] [c30] [c29] [c28] [c27] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j20] [j19] [j18] [j17] [j16] [j15] [c26] [i20] [i19] [i18] [j14] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j13] [j12] [c17] [c16] [i8] [i7] [i6] [i5] [j11] [c15] [c14] [c13] [c12] [j9] [j8] [c11] [c10] [c9] [i4] [i3] [i2] [j7] [c8] [j6] [j5] [c7] [c6] [i1] [j4] [c5] [j3] [c3]
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).
Privacy notice: By enabling the option above, your browser will contact the API of 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.
last updated on 2024-12-27 22:23 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 was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
