@ARTICLE{9924526,  author={Zhang, Ying and Li, Muyang and Chen, Yuanchang and Chiang, Yao-Yi and Hua, Yunpeng},  journal={IEEE Transactions on Smart Grid},   title={A Constraint-based Routing and Charging Methodology for Battery Electric Vehicles with Deep Reinforcement Learning},   year={2022},  volume={},  number={},  pages={1-1},  doi={10.1109/TSG.2022.3214680}}

@inproceedings{Modad22,
author = {Bassel Abou Ali Modad and Xin Yu and Hae Jin Song and Yao-Yi Chiang and Andreas Molisch},
title = {Cell-by-Cell Line-of-Sight Probability Models Based on Real-World Base Station Deployment},
year = {2022},

publisher = {IEEE},

booktitle = {Proceedings of the IEEE Global Communications Conference (GLOBECOM)},
location = {Rio de Janeiro, Brazil}
}

@INPROCEEDINGS{hu22,  author={Hu, H. and Lin, H. and Chiang, Y.-Y. },  booktitle={2022 IEEE International Conference on Big Data (Big Data)},   title={Clustering Human Mobility with Multiple Spaces},   year={2022},  volume={},  number={},  pages={},  doi={}}

@inproceedings{min22,
author = {Namgung, Min and Chiang, Yao-Yi },
title = {Incorporating Spatial Context for Post-OCR in Map Images},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery},
series = {GEOAI '22}
}

@INPROCEEDINGS{lin22,  author={Lin, Y. and Chiang, Y.-Y. },  booktitle={2022 IEEE International Conference on Big Data (Big Data)},   title={A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data},   year={2022},  volume={},  number={},  pages={},  doi={}}

@inproceedings{li22,
author = {Li, Z. and Kim, J. and Chiang, Y.-Y. and Chen, M.},
title = {SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation},
year = {2022},
booktitle = {the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings},
location = {Abu Dhabi}
}

@article{https://doi.org/10.1111/tgis.12975,
author = {Gao, Yuan and Chiang, Yao-Yi and Zhang, Xiaoxi and Zhang, Min},
title = {Traffic volume prediction for scenic spots based on multi-source and heterogeneous data},
journal = {Transactions in GIS},
volume = {26},
number = {6},
pages = {2415-2439},
doi = {https://doi.org/10.1111/tgis.12975},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/tgis.12975},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12975},
abstract = {Abstract Traffic prediction for scenic spots is an important topic in modeling an urban traffic system. Existing traffic prediction approaches typically use raw traffic data and road networks without considering the physical environment and human–environment interaction. This article presents a novel traffic prediction model that considers: (1) the topological structure of the city road network; (2) the popularity and accessibility of each scenic spot in the city; and (3) the traffic volumes of nearby scenic spots. The proposed model first learns a series of traffic dependency graphs by the Multi-graph Convolutional Network using multiple data sources describing historical traffic volumes, scenic spots popularity, land function, location, and accessibility. The graph nodes represent the scenic spots, and the links between them represent their traffic dependency, considering all traffic and geographic features. Then the proposed model uses the Gated Recurrent Unit (GRU) to capture the temporal dependency between multiple fused graphs for traffic volume prediction. The experiments show that the proposed model (M-GCNGRU) can effectively exploit and integrate geographic data with historical traffic data for traffic volume prediction, outperforming several classical and state-of-the-art methods.},
year = {2022}
}

Abstract Traffic prediction for scenic spots is an important topic in modeling an urban traffic system. Existing traffic prediction approaches typically use raw traffic data and road networks without considering the physical environment and human–environment interaction. This article presents a novel traffic prediction model that considers: (1) the topological structure of the city road network; (2) the popularity and accessibility of each scenic spot in the city; and (3) the traffic volumes of nearby scenic spots. The proposed model first learns a series of traffic dependency graphs by the Multi-graph Convolutional Network using multiple data sources describing historical traffic volumes, scenic spots popularity, land function, location, and accessibility. The graph nodes represent the scenic spots, and the links between them represent their traffic dependency, considering all traffic and geographic features. Then the proposed model uses the Gated Recurrent Unit (GRU) to capture the temporal dependency between multiple fused graphs for traffic volume prediction. The experiments show that the proposed model (M-GCNGRU) can effectively exploit and integrate geographic data with historical traffic data for traffic volume prediction, outperforming several classical and state-of-the-art methods.

@article{shbita2022building,
  title={Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps},
  author={Shbita, Basel and Knoblock, Craig A and Duan, Weiwei and Chiang, Yao-Yi and Uhl, Johannes H and Leyk, Stefan},
  journal={Semantic Web},
  number={Preprint},
  pages={1--23},
  year={2022},
  publisher={IOS Press},
  urlLink={https://content.iospress.com/articles/semantic-web/sw222918}
}

@INPROCEEDINGS{9671875,  author={Duan, Weiwei and Chiang, Yao-Yi and Leyk, Stefan and Uhl, Johannes H. and Knoblock, Craig A.},  booktitle={2021 IEEE International Conference on Big Data (Big Data)},   title={Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images},   year={2021},  volume={},  number={},  pages={725-734},  doi={10.1109/BigData52589.2021.9671875}}

@inproceedings{10.1145/3486635.3491070,
author = {Li, Zekun and Guan, Runyu and Yu, Qianmu and Chiang, Yao-Yi and Knoblock, Craig A.},
title = {Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection},
year = {2021},
isbn = {9781450391207},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3486635.3491070},
doi = {10.1145/3486635.3491070},

booktitle = {Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery},
pages = {17–26},
numpages = {10},
keywords = {synthetic data generation, text detection, historical maps, datasets},
location = {Beijing, China},
series = {GEOAI '21}
}

@inproceedings{duan2021label,
  title={A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition},
  author={Duan, Weiwei and Chiang, Yao-Yi and Leyk, Stefan and Uhl, Johannes H and Knoblock, Craig A},
  booktitle={2021 IEEE International Conference on Big Data (Big Data)},
  pages={1604--1610},
  year={2021},
  organization={IEEE}
}

@inproceedings{10.1145/3474717.3486811,
author = {Jiao, Yuankun and Chiang, Yao-Yi},
title = {SRC: Incorporating Geographic Information for Building a Location-Based Recommendation System},
year = {2021},
isbn = {9781450386647},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3474717.3486811},
doi = {10.1145/3474717.3486811},
abstract = {This study proposes a novel approach for location recommendation based on content-based recommendation algorithms incorporated with geographic information. The study also analyzes the impact of various dimension reduction (DR) methods on the recommendation quality using various baseline approaches. The experiment demonstrates that the proposed approach to content-based location recommendations is feasible and valuable, with potentials for further research.},
booktitle = {Proceedings of the 29th International Conference on Advances in Geographic Information Systems},
pages = {680–681},
numpages = {2},
keywords = {dimension reduction, data mining, location recommendation system},
location = {Beijing, China},
series = {SIGSPATIAL '21}
}

This study proposes a novel approach for location recommendation based on content-based recommendation algorithms incorporated with geographic information. The study also analyzes the impact of various dimension reduction (DR) methods on the recommendation quality using various baseline approaches. The experiment demonstrates that the proposed approach to content-based location recommendations is feasible and valuable, with potentials for further research.

@ARTICLE{Gil2021-va,
  title     = "{Artificial Intelligence for Modeling Complex Systems: Taming the
               Complexity of Expert Models to Improve Decision Making}",
  author    = "Gil, Yolanda and Garijo, Daniel and Khider, Deborah and
               Knoblock, Craig A and Ratnakar, Varun and Osorio, Maximiliano
               and Vargas, Hern{\'a}n and Pham, Minh and Pujara, Jay and
               Shbita, Basel and Vu, Binh and Chiang, Yao-Yi and Feldman, Dan
               and Lin, Yijun and Song, Hayley and Kumar, Vipin and Khandelwal,
               Ankush and Steinbach, Michael and Tayal, Kshitij and Xu,
               Shaoming and Pierce, Suzanne A and Pearson, Lissa and
               Hardesty-Lewis, Daniel and Deelman, Ewa and Silva, Rafael
               Ferreira Da and Mayani, Rajiv and Kemanian, Armen R and Shi,
               Yuning and Leonard, Lorne and Peckham, Scott and Stoica, Maria
               and Cobourn, Kelly and Zhang, Zeya and Duffy, Christopher and
               Shu, Lele",
  journal   = "ACM Trans. Interact. Intell. Syst.",
  publisher = "Association for Computing Machinery",
  volume    =  11,
  number    =  2,
  pages     = "1--49",
  month     =  jul,
  year      =  2021,
  url       = "https://doi.org/10.1145/3453172",
  file      = "yaoyichi.github.io/papers-all//Gil-et-al.-2021-Artificial-Intelligence-for-Modeling-Complex-Systems-Taming-the-Complexity-of-Expert-Models-to-Improve-Decision-Making.pdf",
  address   = "New York, NY, USA",
  issn      = "2160-6455",
  doi       = "10.1145/3453172"
}

@INPROCEEDINGS{Avelar21-icc,
  title     = "{Measuring Closest Water, Sanitation, and Hygiene Facilities in Unhoused Communities of Los Angeles}",
  booktitle = "{{Proceedings of the 30th International Cartographic Conference
               (ICC'21)}}",
  author    = "Avelar Portillo, L. J. and Park, L. and Ko, C. and Vasquez, A. and Franklin, M. and Chiang, Y.-Y. ",
  year      =  2021
}

@INPROCEEDINGS{Feldman-rcv,
  title     = "{Enabling Responsible Computer Vision with FAIR Knowledge Graphs}",
  booktitle = "{{Responsible Computer Vision, Conference on Computer Vision and Pattern Recognition 2021 Workshop}}",
  author    = "Feldman, D. and Chiang, Y.-Y. ",
  year      =  2021
}

@INPROCEEDINGS{Park21-icc,
  title     = "{Reimagining Measures of Spatial Access to Health Care in Low- And Middle-Income Countries: Using Road Network Analysis to Validate Self-Reported Perceptions of Geospatial Barriers}",
  booktitle = "{{Proceedings of the 30th International Cartographic Conference
               (ICC'21)}}",
  author    = "Park, L. and Birdwell, A. and Chiang, Y.-Y. ",
  year      =  2021
}

@INPROCEEDINGS{Avelar21-aag,
  title     = "{Impacts of COVID-19 on Water, Sanitation, and Hygiene (WaSH) Access in Skid Row, Los Angeles}",
  booktitle = "{American Association of Geographers Annual Meeting}",
  author    = "Avelar Portillo, L. J. and Chiang, Y.-Y. and Franklin, M. and Ko, C. and Vasquez, A. ",
  year      =  2021
}

@ARTICLE{Zhang2021-ju,
  title   = "{BiS4EV: A fast routing algorithm considering charging stations and
             preferences for electric vehicles}",
  author  = "Zhang, Ying and Wu, Bin and Chiang, Yao-Yi and Zhang, Xin and
             Chen, Yuanchang and Li, Muyang and Li, Fanyu",
  journal = "Engineering applications of artificial intelligence",
  volume  =  104,
  pages   = "104378",
  month   =  sep,
  year    =  2021,
  url     = "https://www.sciencedirect.com/science/article/pii/S0952197621002268",
  issn    = "0952-1976",
  doi     = "10.1016/j.engappai.2021.104378"
}

@Article{s21175801,
AUTHOR = {Li, Kenan and Deng, Huiyu and Morrison, John and Habre, Rima and Franklin, Meredith and Chiang, Yao-Yi and Sward, Katherine and Gilliland, Frank D. and Ambite, José Luis and Eckel, Sandrah P.},
TITLE = {W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets},
JOURNAL = {Sensors},
VOLUME = {21},
YEAR = {2021},
NUMBER = {17},
ARTICLE-NUMBER = {5801},
URL = {https://www.mdpi.com/1424-8220/21/17/5801},
PubMedID = {34502692},
ISSN = {1424-8220},
ABSTRACT = {Many approaches to time series classification rely on machine learning methods. However, there is growing interest in going beyond black box prediction models to understand discriminatory features of the time series and their associations with outcomes. One promising method is time-series shapelets (TSS), which identifies maximally discriminative subsequences of time series. For example, in environmental health applications TSS could be used to identify short-term patterns in exposure time series (shapelets) associated with adverse health outcomes. Identification of candidate shapelets in TSS is computationally intensive. The original TSS algorithm used exhaustive search. Subsequent algorithms introduced efficiencies by trimming/aggregating the set of candidates or training candidates from initialized values, but these approaches have limitations. In this paper, we introduce Wavelet-TSS (W-TSS) a novel intelligent method for identifying candidate shapelets in TSS using wavelet transformation discovery. We tested W-TSS on two datasets: (1) a synthetic example used in previous TSS studies and (2) a panel study relating exposures from residential air pollution sensors to symptoms in participants with asthma. Compared to previous TSS algorithms, W-TSS was more computationally efficient, more accurate, and was able to discover more discriminative shapelets. W-TSS does not require pre-specification of shapelet length.},
DOI = {10.3390/s21175801}
}

Many approaches to time series classification rely on machine learning methods. However, there is growing interest in going beyond black box prediction models to understand discriminatory features of the time series and their associations with outcomes. One promising method is time-series shapelets (TSS), which identifies maximally discriminative subsequences of time series. For example, in environmental health applications TSS could be used to identify short-term patterns in exposure time series (shapelets) associated with adverse health outcomes. Identification of candidate shapelets in TSS is computationally intensive. The original TSS algorithm used exhaustive search. Subsequent algorithms introduced efficiencies by trimming/aggregating the set of candidates or training candidates from initialized values, but these approaches have limitations. In this paper, we introduce Wavelet-TSS (W-TSS) a novel intelligent method for identifying candidate shapelets in TSS using wavelet transformation discovery. We tested W-TSS on two datasets: (1) a synthetic example used in previous TSS studies and (2) a panel study relating exposures from residential air pollution sensors to symptoms in participants with asthma. Compared to previous TSS algorithms, W-TSS was more computationally efficient, more accurate, and was able to discover more discriminative shapelets. W-TSS does not require pre-specification of shapelet length.

@INPROCEEDINGS{Yue2021-aa,
  title     = "{VAMBC: A Variational Approach for Mobility Behavior Clustering}",
  booktitle = "{Machine Learning and Knowledge Discovery in Databases. Applied
               Data Science Track}",
  author    = "Yue, Mingxuan and Chiang, Yao-Yi and Shahabi, Cyrus",
  publisher = "Springer International Publishing",
  pages     = "453--469",
  year      =  2021,
  url       = "http://dx.doi.org/10.1007/978-3-030-86514-6_28",
  doi       = "10.1007/978-3-030-86514-6_28"
}

@ARTICLE{Uhl2021-dj,
  title     = "{Combining Remote-Sensing-Derived Data and Historical Maps for
               Long-Term Back-Casting of Urban Extents}",
  author    = "Uhl, Johannes H and Leyk, Stefan and Li, Zekun and Duan, Weiwei
               and Shbita, Basel and Chiang, Yao-Yi and Knoblock, Craig A",
  journal   = "Remote Sensing",
  publisher = "Multidisciplinary Digital Publishing Institute",
  volume    =  13,
  number    =  18,
  pages     = "3672",
  month     =  sep,
  year      =  2021,
  url       = "https://www.mdpi.com/2072-4292/13/18/3672",
  file      = "yaoyichi.github.io/papers-all//Uhl-et-al.-2021-Combining-Remote-Sensing-Derived-Data-and-Historical-Maps-for-Long-Term-Back-Casting-of-Urban-Extents.pdf",
  language  = "en",
  doi       = "10.3390/rs13183672"
}

@INPROCEEDINGS{Lin2020-kk,
  title     = "{Building Autocorrelation-Aware Representations for Fine-Scale
               Spatiotemporal Prediction}",
  booktitle = "{Proceedings of IEEE International Conference on Data Mining
               (ICDM)}",
  author    = "Lin, Y and Chiang, Y-Y and Franklin, M and Eckel, P S and
               Ambite, J L",
  year      =  2020,
  url-file      = "papers/Lin-et-al.-2020-Building-Autocorrelation-Aware-Representations-for-Fine-Scale-Spatiotemporal-Prediction.pdf"
}

@ARTICLE{Duan2020-wl,
  title     = "{Automatic alignment of contemporary vector data and
               georeferenced historical maps using reinforcement learning}",
  author    = "Duan, Weiwei and Chiang, Yao-Yi and Leyk, Stefan and Uhl,
               Johannes H and Knoblock, Craig A",
  journal   = "International journal of geographical information science: IJGIS",
  publisher = "Taylor \& Francis",
  volume    =  34,
  number    =  4,
  pages     = "824--849",
  month     =  apr,
  year      =  2020,
  url       = "https://doi.org/10.1080/13658816.2019.1698742",
  url-file      = "papers/Duan-et-al.-2020-Automatic-alignment-of-contemporary-vector-data-and-georeferenced-historical-maps-using-reinforcement-learning.pdf",
  issn      = "1365-8816",
  doi       = "10.1080/13658816.2019.1698742"
}

@ARTICLE{Zhang2020-rb,
  title   = "{Efficient Deployment of Electric Vehicle Charging Infrastructure:
             Simultaneous Optimization of Charging Station Placement and
             Charging Pile Assignment}",
  author  = "Zhang, Y and Wang, Y and Li, F and Wu, B and Chiang, Y Y and
             Zhang, X",
  journal = "IEEE Transactions on Intelligent Transportation Systems",
  pages   = "1--6",
  year    =  2020,
  url     = "http://dx.doi.org/10.1109/TITS.2020.2990694",
  url-file    = "papers/Zhang-et-al.-2020-Efficient-Deployment-of-Electric-Vehicle-Charging-In...-timization-of-Charging-Station-Placement-and-Charging-Pile-Assignment.pdf",
  issn    = "1558-0016",
  doi     = "10.1109/TITS.2020.2990694"
}

@BOOK{Chiang2020-vm,
  title     = "{Using Historical Maps in Scientific Studies: Applications,
               Challenges, and Best Practices}",
  author    = "Chiang, Yao-Yi and Duan, Weiwei and Leyk, Stefan and Uhl,
               Johannes H and Knoblock, Craig A",
  publisher = "Springer International Publishing",
  series    = "SpringerBriefs in Geography",
  year      =  2020,
  url       = "https://link.springer.com/book/10.1007/978-3-319-66908-3",
  url-file      = "papers/Chiang-et-al.-2020-Using-Historical-Maps-in-Scientific-Studies-Applications,-Challenges,-and-Best-Practices.pdf",
  isbn      = "9783319669076",
  doi       = "10.1007/978-3-319-66908-3"
}

@INCOLLECTION{Chiang2020-zz,
  title     = "{Design, Development, Testing, and Deployment of GIS Applications}",
  booktitle = "{The Geographic Information Science \& Technology Body of
               Knowledge (4th Quarter 2020 Edition)}",
  author    = "Chiang, Yao-Yi and Lin, Yijun",
  editor    = "Wilson, John P",
  publisher = "The University Consortium for Geographic Information Science
               (UCGIS)",
  year      =  2020,
  url       = "http://dx.doi.org/10.22224/gistbok/2020.4.2",
  url-file      = "papers/Chiang-and-Lin-2020-Design,-Development,-Testing,-and-Deployment-of-GIS-Applications.pdf",
  doi       = "10.22224/gistbok/2020.4.2"
}

@ARTICLE{Li2020-my,
  title     = "{An Automatic Approach for Generating Rich, Linked Geo-Metadata
               from Historical Map Images}",
  author    = "Li, Z and Chiang, Y Y and Tavakkol, S and Shbita, B and Uhl, J H
               and {others}",
  journal   = "Proceedings of ACM Knowledge Discovery and Data Mining
               Conference (KDD)",
  publisher = "dl.acm.org",
  year      =  2020,
  url       = "https://dl.acm.org/doi/abs/10.1145/3394486.3403381",
  url-file      = "papers/Li-et-al.-2020-An-Automatic-Approach-for-Generating-Rich,-Linked-Geo-Metadata-from-Historical-Map-Images.pdf"
}

@INPROCEEDINGS{Shbita2020-tl,
  title     = "{Building Linked Spatio-Temporal Data from Vectorized Historical
               Maps}",
  booktitle = "{The Semantic Web}",
  author    = "Shbita, Basel and Knoblock, Craig A and Duan, Weiwei and Chiang,
               Yao-Yi and Uhl, Johannes H and Leyk, Stefan",
  publisher = "Springer International Publishing",
  pages     = "409--426",
  year      =  2020,
  url       = "http://dx.doi.org/10.1007/978-3-030-49461-2_24",
  url-file      = "papers/Shbita-et-al.-2020-Building-Linked-Spatio-Temporal-Data-from-Vectorized-Historical-Maps.pdf",
  doi       = "10.1007/978-3-030-49461-2\_24"
}

@ARTICLE{Karroum2020-ku,
  title   = "{A Review of Air Quality Modeling}",
  author  = "Karroum, Khaoula and Lin, Yijun and Chiang, Yao-Yi and Ben Maissa,
             Yann and El Haziti, Mohamed and Sokolov, Anton and Delbarre,
             Herv{\'e}",
  journal = "MAPAN",
  month   =  mar,
  year    =  2020,
  url     = "https://doi.org/10.1007/s12647-020-00371-8",
  url-file    = "papers/Karroum-et-al.-2020-A-Review-of-Air-Quality-Modeling.pdf",
  issn    = "0974-9853",
  doi     = "10.1007/s12647-020-00371-8"
}

@ARTICLE{Cheng2019-mi,
  title     = "{Automatic intersection extraction and building arrangement with
               StarCraft II maps}",
  author    = "Cheng, Yuanbin and Chiang, Yao-Yi",
  journal   = "SIGSPATIAL Special",
  publisher = "Association for Computing Machinery",
  volume    =  10,
  number    =  3,
  pages     = "4--5",
  month     =  jan,
  year      =  2019,
  url       = "https://doi.org/10.1145/3307599.3307602",
  url-file      = "papers/Cheng-and-Chiang-2019-Automatic-intersection-extraction-and-building-arrangement-with-StarCraft-II-maps.pdf",
  address   = "New York, NY, USA",
  doi       = "10.1145/3307599.3307602"
}

@INPROCEEDINGS{Garijo2019-yw,
  title     = "{An intelligent interface for integrating climate, hydrology,
               agriculture, and socioeconomic models}",
  booktitle = "{Proceedings of the 24th International Conference on Intelligent
               User Interfaces: Companion}",
  author    = "Garijo, Daniel and Khider, Deborah and Ratnakar, Varun and Gil,
               Yolanda and Deelman, Ewa and da Silva, Rafael Ferreira and
               Knoblock, Craig and Chiang, Yao-Yi and Pham, Minh and Pujara,
               Jay and Vu, Binh and Feldman, Dan and Mayani, Rajiv and Cobourn,
               Kelly and Duffy, Chris and Kemanian, Armen and Shu, Lele and
               Kumar, Vipin and Khandelwal, Ankush and Tayal, Kshitij and
               Peckham, Scott and Stoica, Maria and Dabrowski, Anna and
               Hardesty-Lewis, Daniel and Pierce, Suzanne",
  publisher = "Association for Computing Machinery",
  pages     = "111--112",
  series    = "IUI '19",
  month     =  mar,
  year      =  2019,
  url       = "https://doi.org/10.1145/3308557.3308711",
  url-file      = "papers/Garijo-et-al.-2019-An-intelligent-interface-for-integrating-climate,-hydrology,-agriculture,-and-socioeconomic-models.pdf",
  address   = "New York, NY, USA",
  location  = "Marina del Ray, California",
  isbn      = "9781450366731",
  doi       = "10.1145/3308557.3308711"
}

@INPROCEEDINGS{Zhang2019-cl,
  title     = "{A VLOS Compliance Solution to Ground/Aerial Parcel Delivery
               Problem}",
  booktitle = "{Proceedings of the 2019 20th IEEE International Conference on
               Mobile Data Management (MDM)}",
  author    = "Zhang, J and Shen, T and Wang, W and Jiang, X and Ku, W and Sun,
               M and Chiang, Y Y",
  pages     = "201--209",
  month     =  jun,
  year      =  2019,
  url       = "http://dx.doi.org/10.1109/MDM.2019.00-56",
  url-file      = "papers/Zhang-et-al.-2019-A-VLOS-Compliance-Solution-to-Ground-Aerial-Parcel-Delivery-Problem.pdf",
  issn      = "2375-0324",
  doi       = "10.1109/MDM.2019.00-56"
}

@INPROCEEDINGS{Shbita2019-lv,
  title     = "{Creating a FAIR Data Catalog to Support Scientific Modeling}",
  booktitle = "{Proceedings of the Workshop on Advanced Knowledge Technologies
               for Science in a FAIR World (AKTS) 2019}",
  author    = "Shbita, Basel and Vu, Binh and Feldman, Dan and Pham, Minh and
               Rajendran, A and Knoblock, C A and Pujara, J and Chiang, Y-Y",
  month     =  sep,
  year      =  2019,
  url       = "https://www.researchgate.net/publication/339670920_Creating_a_FAIR_Data_Catalog_to_Support_Scientific_Modeling",
  url-file      = "papers/Shbita-et-al.-2019-Creating-a-FAIR-Data-Catalog-to-Support-Scientific-Modeling.pdf"
}

@INPROCEEDINGS{Gao2019-fo,
  title     = "{Personalized Recommendation Method of POI Based on Deep Neural
               Network}",
  booktitle = "{Proceedings of the 2019 6th International Conference on
               Behavioral, Economic and Socio-Cultural Computing (BESC)}",
  author    = "Gao, Y and Duan, Z and Shi, W and Feng, J and Chiang, Y-Y",
  pages     = "1--6",
  month     =  oct,
  year      =  2019,
  url       = "http://dx.doi.org/10.1109/BESC48373.2019.8963449",
  url-file      = "papers/Gao-et-al.-2019-Personalized-Recommendation-Method-of-POI-Based-on-Deep-Neural-Network.pdf",
  doi       = "10.1109/BESC48373.2019.8963449"
}

@ARTICLE{Li2019-gr,
  title    = "{Applying Multivariate Segmentation Methods to Human Activity
              Recognition From Wearable Sensors' Data}",
  author   = "Li, Kenan and Habre, Rima and Deng, Huiyu and Urman, Robert and
              Morrison, John and Gilliland, Frank D and Ambite, Jos{\'e} Luis
              and Stripelis, Dimitris and Chiang, Yao-Yi and Lin, Yijun and
              Bui, Alex At and King, Christine and Hosseini, Anahita and Van
              Vliet, Eleanne and Sarrafzadeh, Majid and Eckel, Sandrah P",
  journal  = "JMIR mHealth and uHealth",
  volume   =  7,
  number   =  2,
  pages    = "e11201",
  month    =  feb,
  year     =  2019,
  url      = "http://dx.doi.org/10.2196/11201",
  url-file     = "papers/Li-et-al.-2019-Applying-Multivariate-Segmentation-Methods-to-Human-Activity-Recognition-From-Wearable-Sensors'-Data.pdf",
  language = "en",
  issn     = "2291-5222",
  pmid     = "30730297",
  doi      = "10.2196/11201",
  pmc      = "PMC6386646"
}

@ARTICLE{Wu2019-qe,
  title   = "{A New Gabor Filter-Based Method for Automatic Recognition of
             Hatched Residential Areas}",
  author  = "Wu, J and Wei, P and Yuan, X and Shu, Z and Chiang, Y Y and Fu, Z
             and Deng, M",
  journal = "IEEE Access",
  volume  =  7,
  pages   = "40649--40662",
  year    =  2019,
  url     = "http://dx.doi.org/10.1109/ACCESS.2019.2907114",
  url-file    = "papers/Wu-et-al.-2019-A-New-Gabor-Filter-Based-Method-for-Automatic-Recognition-of-Hatched-Residential-Areas.pdf",
  issn    = "2169-3536",
  doi     = "10.1109/ACCESS.2019.2907114"
}

@ARTICLE{Zhang2019-rj,
  title   = "{Extracting geographic features from the Internet: A geographic
             information mining framework}",
  author  = "Zhang, Ying and Ma, Qunfei and Chiang, Yao-Yi and Knoblock, Craig
             and Zhang, Xin and Yang, Puhai and Gao, Minghe and Hu, Xiang",
  journal = "Knowledge-Based Systems",
  volume  =  174,
  pages   = "57--72",
  month   =  jun,
  year    =  2019,
  url     = "http://www.sciencedirect.com/science/article/pii/S0950705119300929",
  url-file    = "papers/Zhang-et-al.-2019-Extracting-geographic-features-from-the-Internet-A-geographic-information-mining-framework.pdf",
  issn    = "0950-7051",
  doi     = "10.1016/j.knosys.2019.02.031"
}

@INPROCEEDINGS{Chiang2019-yx,
  title     = "{Building Explainable Predictive Analytics for Location-Dependent
               Time-Series Data}",
  booktitle = "{Proceedings of the 2019 IEEE First International Conference on
               Cognitive Machine Intelligence (CogMI)}",
  author    = "Chiang, Y Y and Lin, Y and Franklin, M and Eckel, S P and
               Ambite, J L and Ku, W",
  pages     = "202--209",
  month     =  dec,
  year      =  2019,
  url       = "http://dx.doi.org/10.1109/CogMI48466.2019.00037",
  url-file      = "papers/Chiang-et-al.-2019-Building-Explainable-Predictive-Analytics-for-Location-Dependent-Time-Series-Data.pdf",
  doi       = "10.1109/CogMI48466.2019.00037"
}

@INPROCEEDINGS{Anastasiou2019-gk,
  title     = "{ADMSv2: A Modern Architecture for Transportation Data Management
               and Analysis}",
  booktitle = "{Proceedings of the 2nd ACM SIGSPATIAL workshop ARIC'19}",
  author    = "Anastasiou, Chrysovalantis and Lin, Jianfa and He, Chaoyang and
               Chiang, Yao-Yi and Shahabi, Cyrus",
  year      =  2019,
  url-file      = "papers/Anastasiou-et-al.-2019-ADMSv2-A-Modern-Architecture-for-Transportation-Data-Management-and-Analysis.pdf;papers/Anastasiou-et-al.-2019-ADMSv2-A-Modern-Architecture-for-Transportation-Data-Management-and-Analysis.pdf",
  address   = "New York"
}

@INPROCEEDINGS{Yue2019-hn,
  title     = "{DETECT: Deep Trajectory Clustering for Mobility-Behavior
               Analysis}",
  booktitle = "{Proceedings of the 2019 IEEE International Conference on Big
               Data (Big Data)}",
  author    = "Yue, M and Li, Y and Yang, H and Ahuja, R and Chiang, Y and
               Shahabi, C",
  pages     = "988--997",
  month     =  dec,
  year      =  2019,
  url       = "http://dx.doi.org/10.1109/BigData47090.2019.9006561",
  url-file      = "papers/Yue-et-al.-2019-DETECT-Deep-Trajectory-Clustering-for-Mobility-Behavior-Analysis.pdf",
  doi       = "10.1109/BigData47090.2019.9006561"
}

@INPROCEEDINGS{Tavakkol2019-xs,
  title     = "{Kartta Labs: Unrendering Historical Maps}",
  booktitle = "{Proceedings of the 3rd ACM SIGSPATIAL International Workshop on
               AI for Geographic Knowledge Discovery}",
  author    = "Tavakkol, Sasan and Chiang, Yao-Yi and Waters, Tim and Han, Feng
               and Prasad, Kisalaya and Kiveris, Raimondas",
  publisher = "Association for Computing Machinery",
  pages     = "48--51",
  series    = "GeoAI 2019",
  month     =  nov,
  year      =  2019,
  url       = "https://doi.org/10.1145/3356471.3365236",
  url-file      = "papers/Tavakkol-et-al.-2019-Kartta-Labs-Unrendering-Historical-Maps.pdf",
  address   = "New York, NY, USA",
  location  = "Chicago, IL, USA",
  isbn      = "9781450369572",
  doi       = "10.1145/3356471.3365236"
}

@MISC{Khider2019-zm,
  title        = "{MINT: An intelligent interface for understanding the impacts
                  of climate change on hydrological, agricultural and economic
                  systems}",
  author       = "Khider, D and Gil, Y and Cobourn, K M and Deelman, E and
                  Duffy, C and Ferreira da Silva, R and Kemanian, A and
                  Knoblock, C and Kumar, V and Peckham, S D and Chiang, Y Y and
                  Feldman, D and Garijo, D and Hardesty Lewis, D and
                  Khandelwal, A and Mayani, R and Osorio, M and Pahm, M and
                  Pierce, S A and Pujara, J and Ratnakar, V and Shu, L and
                  Song, H J and Shbita, B and Stoica, M and Vu, B and Pearson,
                  L",
  month        =  dec,
  year         =  2019,
  url          = "https://ui.adsabs.harvard.edu/abs/2019AGUFMPA33C1108K",
  howpublished = "AGU Fall Meeting Abstracts"
}

@MISC{Chiang2018-ls,
  title        = "{Next Generation Framework for Imagery Recognition and
                  Analysis}",
  author       = "Chiang, Y Y and Feldman, D",
  year         =  2018,
  howpublished = "The 1st workshop of the NSF project: SI2-S2I2
                  Conceptualization: Geospatial Software Institute (GSI)",
  url-file         = "papers/Chiang-and-Feldman-2018-Next-Generation-Framework-for-Imagery-Recognition-and-Analysis.pdf"
}

@INPROCEEDINGS{Yu2018-tj,
  title     = "{MAPINS: An Intra-City PM2.5 Modeling Web Application Using A
               Scalable Data Management and Analysis System Integrating Public
               Multi-Source Data}",
  booktitle = "{Proceedings of the AutoCarto}",
  author    = "Yu, X and Cheng, Y and Lin, Y and Chiang, Y Y and Stripelis, D
               and Ambite, J L",
  pages     = "135 -- 145",
  year      =  2018,
  url-file      = "papers/Yu-et-al.-2018-MAPINS-An-Intra-City-PM2.5-Modeling-Web-Application-U...-a-Management-and-Analysis-System-Integrating-Public-Multi-Source-Data.pdf"
}

@INPROCEEDINGS{Duan2018-cx,
  title     = "{Automatic generation of precisely delineated geographic features
               from georeferenced historical maps using deep learning}",
  booktitle = "{Proceedings of the AutoCarto}",
  author    = "Duan, Weiwei and Chiang, Y and Knoblock, Crang A and Leyk,
               Stefan and Uhl, J",
  pages     = "59--63",
  year      =  2018,
  url-file      = "papers/Duan-et-al.-2018-Automatic-generation-of-precisely-delineated-geographic-features-from-georeferenced-historical-maps-using-deep-learning.pdf"
}

@INPROCEEDINGS{Uhl2018-cf,
  title     = "{Exploring the Potential of Deep Learning for Settlement Symbol
               Extraction from Historical Map Documents}",
  booktitle = "{Proceedings of the UCGIS/AutoCarto}",
  author    = "Uhl, Johannes H and Leyk, Stefan and Chiang, Yao-Yi and Duan,
               Weiwei and Knoblock, Craig A",
  pages     = "123 -- 124",
  year      =  2018,
  url-file      = "papers/Uhl-et-al.-2018-Exploring-the-Potential-of-Deep-Learning-for-Settlement-Symbol-Extraction-from-Historical-Map-Documents.pdf"
}

@INPROCEEDINGS{Gil2018-hg,
  title     = "{MINT: Model Integration Through Knowledge-Powered Data and
               Process Composition}",
  booktitle = "{Proceedings of the 9th International Congress on Environmental
               Modelling and Software}",
  author    = "Gil, Yolanda and Cobourn, Kelly and Deelman, Ewa and Duffy,
               Chris and da Silva, Rafael Ferreira and Kemanian, Armen and
               Knoblock, Craig and Kumar, Vipin and Peckham, Scott and
               Carvalho, Lucas and Chiang, Yao-Yi and Garijo, Daniel and
               Khider, Deborah and Khandelwal, Ankush and Pahm, Minh and
               Pujara, Jay and Ratnakar, Varun and Stoica, Maria and Vu, Binh",
  year      =  2018,
  url-file      = "papers/Gil-et-al.-2018-MINT-Model-Integration-Through-Knowledge-Powered-Data-and-Process-Composition.pdf"
}

@INPROCEEDINGS{Lin2018-ck,
  title     = "{Building Linked Data from Historical Maps}",
  booktitle = "{Proceedings of the SemSci 2018: Enabling Open Semantic Science}",
  author    = "Lin, Chun and Su, Hang and Knoblock, Craig A and Chiang, Yao-Yi
               and Duan, Weiwei and Leyk, Stefan and Uhl, Johannes H",
  pages     = "59--67",
  year      =  2018,
  url       = "ftp://ceur-ws.org/pub/publications/CEUR-WS/Vol-2184.zip",
  url-file      = "papers/Lin-et-al.-2018-Building-Linked-Data-from-Historical-Maps.pdf"
}

@INPROCEEDINGS{Lin2018-vk,
  title     = "{An Uncertainty Aware Method for Geographic Data Conflation}",
  booktitle = "{Proceedings of the 7th ACM SIGSPATIAL International Workshop on
               Analytics for Big Geospatial Data}",
  author    = "Lin, Haowen and Chiang, Yao-Yi",
  publisher = "Association for Computing Machinery",
  pages     = "20--27",
  series    = "BigSpatial 2018",
  month     =  nov,
  year      =  2018,
  url       = "https://doi.org/10.1145/3282834.3282842",
  url-file      = "papers/Lin-and-Chiang-2018-An-Uncertainty-Aware-Method-for-Geographic-Data-Conflation.pdf",
  address   = "New York, NY, USA",
  location  = "Seattle, WA, USA",
  isbn      = "9781450360418",
  doi       = "10.1145/3282834.3282842"
}

@INPROCEEDINGS{Nguyen2018-am,
  title     = "{Los angeles metro bus data analysis using GPS trajectory and
               schedule data (demo paper)}",
  booktitle = "{Proceedings of the 26th ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}",
  author    = "Nguyen, Kien and Yang, Jingyun and Lin, Yijun and Lin, Jianfa
               and Chiang, Yao-Yi and Shahabi, Cyrus",
  publisher = "Association for Computing Machinery",
  pages     = "560--563",
  series    = "SIGSPATIAL '18",
  month     =  nov,
  year      =  2018,
  url       = "https://doi.org/10.1145/3274895.3274911",
  url-file      = "papers/Nguyen-et-al.-2018-Los-angeles-metro-bus-data-analysis-using-GPS-trajectory-and-schedule-data-(demo-paper).pdf",
  address   = "New York, NY, USA",
  location  = "Seattle, Washington",
  isbn      = "9781450358897",
  doi       = "10.1145/3274895.3274911"
}

@ARTICLE{Duan2018-rv,
  title     = "{SRC: a fully automatic geographic feature recognition system}",
  author    = "Duan, Weiwei and Chiang, Yao-Yi",
  journal   = "SIGSPATIAL Special",
  publisher = "Association for Computing Machinery",
  volume    =  9,
  number    =  3,
  pages     = "6--7",
  month     =  jan,
  year      =  2018,
  url       = "https://doi.org/10.1145/3178392.3178396",
  url-file      = "papers/Duan-and-Chiang-2018-SRC-a-fully-automatic-geographic-feature-recognition-system.pdf",
  address   = "New York, NY, USA",
  doi       = "10.1145/3178392.3178396"
}

@ARTICLE{Wu2018-nr,
  title   = "{A Matching Algorithm Based on Voronoi Diagram for Multi-Scale
             Polygonal Residential Areas}",
  author  = "Wu, J and Wan, Y and Chiang, Y Y and Fu, Z and Deng, M",
  journal = "IEEE Access",
  volume  =  6,
  pages   = "4904--4915",
  year    =  2018,
  url     = "http://dx.doi.org/10.1109/ACCESS.2018.2793302",
  url-file    = "papers/Wu-et-al.-2018-A-Matching-Algorithm-Based-on-Voronoi-Diagram-for-Multi-Scale-Polygonal-Residential-Areas.pdf",
  issn    = "2169-3536",
  doi     = "10.1109/ACCESS.2018.2793302"
}

@ARTICLE{VoPham2018-zv,
  title    = "{Emerging trends in geospatial artificial intelligence (geoAI):
              potential applications for environmental epidemiology}",
  author   = "VoPham, Trang and Hart, Jaime E and Laden, Francine and Chiang,
              Yao-Yi",
  journal  = "Environmental health: a global access science source",
  volume   =  17,
  number   =  1,
  pages    = "40",
  month    =  apr,
  year     =  2018,
  url      = "http://dx.doi.org/10.1186/s12940-018-0386-x",
  url-file     = "papers/VoPham-et-al.-2018-Emerging-trends-in-geospatial-artificial-intelligence-(geoAI)-potential-applications-for-environmental-epidemiology.pdf",
  language = "en",
  issn     = "1476-069X",
  pmid     = "29665858",
  doi      = "10.1186/s12940-018-0386-x",
  pmc      = "PMC5905121"
}

@ARTICLE{Lin2018-wz,
  title     = "{SRC: automatic extraction of phrase-level map labels from
               historical maps}",
  author    = "Lin, Haowen and Chiang, Yao-Yi",
  journal   = "SIGSPATIAL Special",
  publisher = "Association for Computing Machinery",
  volume    =  9,
  number    =  3,
  pages     = "14--15",
  month     =  jan,
  year      =  2018,
  url       = "https://doi.org/10.1145/3178392.3178400",
  url-file      = "papers/Lin-and-Chiang-2018-SRC-automatic-extraction-of-phrase-level-map-labels-from-historical-maps.pdf",
  address   = "New York, NY, USA",
  doi       = "10.1145/3178392.3178400"
}

@INPROCEEDINGS{Lin2018-xw,
  title     = "{Exploiting spatiotemporal patterns for accurate air quality
               forecasting using deep learning}",
  booktitle = "{Proceedings of the 26th ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}",
  author    = "Lin, Yijun and Mago, Nikhit and Gao, Yu and Li, Yaguang and
               Chiang, Yao-Yi and Shahabi, Cyrus and Ambite, Jos{\'e} Luis",
  publisher = "Association for Computing Machinery",
  pages     = "359--368",
  series    = "SIGSPATIAL '18",
  month     =  nov,
  year      =  2018,
  url       = "https://doi.org/10.1145/3274895.3274907",
  url-file      = "papers/Lin-et-al.-2018-Exploiting-spatiotemporal-patterns-for-accurate-air-quality-forecasting-using-deep-learning.pdf",
  address   = "New York, NY, USA",
  location  = "Seattle, Washington",
  isbn      = "9781450358897",
  doi       = "10.1145/3274895.3274907"
}

@ARTICLE{Uhl2018-tj,
  title     = "{Map archive mining: visual-analytical approaches to explore
               large historical map collections}",
  author    = "Uhl, Johannes H and Leyk, Stefan and Chiang, Yao-Yi and Duan,
               Weiwei and Knoblock, Craig A",
  journal   = "ISPRS international journal of geo-information",
  publisher = "Multidisciplinary Digital Publishing Institute",
  volume    =  7,
  number    =  4,
  pages     = "148",
  month     =  apr,
  year      =  2018,
  url       = "http://dx.doi.org/10.3390/ijgi7040148",
  url-file      = "papers/Uhl-et-al.-2018-Map-archive-mining-visual-analytical-approaches-to-explore-large-historical-map-collections.pdf",
  language  = "en",
  issn      = "2220-9964",
  pmid      = "31061817",
  doi       = "10.3390/ijgi7040148",
  pmc       = "PMC6500493"
}

@ARTICLE{Uhl2018-ph,
  title     = "{Spatialising uncertainty in image segmentation using weakly
               supervised convolutional neural networks: a case study from
               historical map processing}",
  author    = "Uhl, Johannes H and Leyk, Stefan and Chiang, Yao-Yi and Duan,
               Weiwei and Knoblock, Craig A",
  journal   = "IET Image Processing",
  publisher = "IET Digital Library",
  volume    =  12,
  number    =  11,
  pages     = "2084--2091",
  month     =  jul,
  year      =  2018,
  url       = "https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5484",
  url-file      = "papers/Uhl-et-al.-2018-Spatialising-uncertainty-in-image-segmentation-using-w...-utional-neural-networks-a-case-study-from-historical-map-processing.pdf",
  issn      = "1751-9667, 1751-9667",
  doi       = "10.1049/iet-ipr.2018.5484"
}

@INPROCEEDINGS{Leyk2017-zc,
  title     = "{Implementing the Concept of Geographic Context for Efficient
               Recognition from Large-Scale Topographic Map Series}",
  booktitle = "{Proceedings of the 28th International Cartographic Conference}",
  author    = "Leyk, Stefan and Chiang, Yao-Yi",
  year      =  2017
}

@INPROCEEDINGS{Nanetti2017-tf,
  title     = "{Visual Knowledge Aggregation: From Static to Dynamic Information
               Systems in Library Contexts}",
  booktitle = "{Proceedings of the ICA Pre-Conference Workshop on Mapping Tools
               for Non-Mapping Experts: Incorporating Geospatial Visualization
               Tools in Libraries}",
  author    = "Nanetti, A and Cattaneo, A and Cheong, S A and Chiang, Y Y and
               Lin, C Y",
  year      =  2017
}

@INPROCEEDINGS{Chiang2017-qn,
  title     = "{Automatic Learning of User Design Rationales from Examples}",
  booktitle = "{Proceedings of the Symposium on Solid and Physical Modeling
               (SPM)}",
  author    = "Chiang, Y Y and Jain, A and Bandyopadhyay, B and Knoblock, A C",
  year      =  2017,
  url-file      = "papers/Chiang-et-al.-2017-Automatic-Learning-of-User-Design-Rationales-from-Examples.pdf"
}

@MISC{Holmes-Wong2017-ti,
  title           = "{Unlocking Maps for Discovery and Other Purpose}",
  author          = "Holmes-Wong, D and Chiang, Y Y",
  year            =  2017,
  howpublished    = "Digital Library Federation (DLF) Forum",
  location        = "Pittsburg, PA, USA"
}

@INPROCEEDINGS{Duan2017-de,
  title     = "{Automatic alignment of geographic features in contemporary
               vector data and historical maps}",
  booktitle = "{Proceedings of the 1st Workshop on Artificial Intelligence and
               Deep Learning for Geographic Knowledge Discovery}",
  author    = "Duan, Weiwei and Chiang, Yao-Yi and Knoblock, Craig A and Jain,
               Vinil and Feldman, Dan and Uhl, Johannes H and Leyk, Stefan",
  publisher = "Association for Computing Machinery",
  pages     = "45--54",
  series    = "GeoAI '17",
  month     =  nov,
  year      =  2017,
  url       = "https://doi.org/10.1145/3149808.3149816",
  url-file      = "papers/Duan-et-al.-2017-Automatic-alignment-of-geographic-features-in-contemporary-vector-data-and-historical-maps.pdf",
  address   = "New York, NY, USA",
  location  = "Los Angeles, California",
  isbn      = "9781450354981",
  doi       = "10.1145/3149808.3149816"
}

@MISC{Uhl2017-im,
  title        = "{Machine-learning based Approaches for Extracting Settlement
                  Features from Historical Maps}",
  author       = "Uhl, Johannes H and Leyk, Stefan and Chiang, Yao-Yi and Duan,
                  Weiwei and Knoblock, Craig A",
  year         =  2017,
  howpublished = "The International Land Use Symposium 2017 (Spatial data
                  modelling and visualisation to enlighten sustainable policy
                  making)",
  location     = "Dresden, Germany"
}

@INPROCEEDINGS{Lin2017-go,
  title      = "{Mining Public Datasets for Modeling Intra-City PM2.5
                Concentrations at a Fine Spatial Resolution}",
  booktitle  = "{Proceedings of the 25th ACM SIGSPATIAL International Conference
                on Advances in Geographic Information Systems}",
  author     = "Lin, Yijun and Chiang, Yao-Yi and Pan, Fan and Stripelis,
                Dimitrios and Ambite, Jose Luis and Eckel, Sandrah P and Habre,
                Rima",
  publisher  = "ACM",
  volume     =  8,
  pages      = "1--10",
  month      =  nov,
  year       =  2017,
  url        = "https://dl.acm.org/doi/10.1145/3139958.3140013",
  url-file       = "papers/Lin-et-al.-2017-Mining-Public-Datasets-for-Modeling-Intra-City-PM2.5-Concentrations-at-a-Fine-Spatial-Resolution.pdf",
  address    = "New York, NY, USA",
  language   = "en",
  conference = "SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on
                Advances in Geographic Information Systems",
  location   = "Redondo Beach CA USA",
  isbn       = "9781450354905",
  pmid       = "29527599",
  doi        = "10.1145/3139958.3140013",
  pmc        = "PMC5841919"
}

@INPROCEEDINGS{Stripelis2017-ab,
  title     = "{{A Scalable Data Integration and Analysis Architecture for
               Sensor Data of Pediatric Asthma}}",
  booktitle = "{Proceedings of the 2017 IEEE 33rd International Conference on
               Data Engineering (ICDE)}",
  author    = "Stripelis, D and Ambite, J L and Chiang, Y Y and Eckel, S P and
               Habre, R",
  pages     = "1407--1408",
  year      =  2017,
  url       = "http://dx.doi.org/10.1109/ICDE.2017.198",
  url-file      = "papers/Stripelis-et-al.-2017-A-Scalable-Data-Integration-and-Analysis-Architecture-for-Sensor-Data-of-Pediatric-Asthma.pdf",
  doi       = "10.1109/ICDE.2017.198"
}

@INCOLLECTION{Chiang2017-ym,
  title     = "{Unlocking Textual Content from Historical Maps - Potentials and
               Applications, Trends, and Outlooks}",
  booktitle = "{Recent Trends in Image Processing and Pattern Recognition}",
  author    = "Chiang, Yao-Yi",
  editor    = "Santosh, K C and Hangarge, Mallikarjun and Bevilacqua,
               Vitoantonio and Negi, Atul",
  publisher = "Springer Singapore",
  volume    =  709,
  pages     = "111--124",
  year      =  2017,
  url-file      = "papers/Chiang-2017-Unlocking-Textual-Content-from-Historical-Maps-Potentials-and-Applications,-Trends,-and-Outlooks.pdf",
  isbn      = "9789811048593"
}

@INPROCEEDINGS{Uhl2017-ug,
  title     = "{Extracting human settlement footprint from historical
               topographic map series using context-based machine learning}",
  booktitle = "{Proceedings of the 8th ​​International Conference of Pattern
               Recognition Systems (ICPRS 2017)}",
  author    = "Uhl, Johannes H and Leyk, Stefan and Chiang, Yao-Yi and Duan,
               Weiwei and Knoblock, Craig A",
  publisher = "IET Digital Library",
  pages     = "15 (6 .)--15 (6 .)",
  month     =  jan,
  year      =  2017,
  url       = "https://digital-library.theiet.org/content/conferences/10.1049/cp.2017.0144",
  url-file      = "papers/Uhl-et-al.-2017-Extracting-human-settlement-footprint-from-historical-topographic-map-series-using-context-based-machine-learning.pdf",
  doi       = "10.1049/cp.2017.0144"
}

@INPROCEEDINGS{Chiang2017-vb,
  title     = "{{LINKING HISTORICAL MAPS TO USC SHOAH FOUNDATION VISUAL HISTORY
               ARCHIVE }}",
  booktitle = "{Proceedings of the 28th International Cartographic Conference}",
  author    = "Chiang, Yao-Yi",
  year      =  2017
}

@MISC{Chiang2016-hc,
  title        = "{Exploiting Context in Cartographic Evolutionary Documents to
                  Extract and Build Linked Spatial-Temporal Datasets}",
  author       = "Chiang, Y Y",
  year         =  2016,
  howpublished = "2016 Conference on Complex Systems, Complex Systems Society",
  location     = "Amsterdam, Netherlands"
}

@ARTICLE{Wu2016-io,
  title     = "{Q2P: Discovering Query Templates via Autocompletion}",
  author    = "Wu, Wensheng and Meng, Weiyi and Su, Weifeng and Zhou, Guangyou
               and Chiang, Yao-Yi",
  journal   = "ACM Trans. Web",
  publisher = "Association for Computing Machinery",
  volume    =  10,
  number    =  2,
  pages     = "1--29",
  month     =  apr,
  year      =  2016,
  url       = "https://doi.org/10.1145/2873061",
  url-file      = "papers/Wu-et-al.-2016-Q2P-Discovering-Query-Templates-via-Autocompletion.pdf",
  address   = "New York, NY, USA",
  issn      = "1559-1131",
  doi       = "10.1145/2873061"
}

@INCOLLECTION{Park2016-ht,
  title     = "{Hot Spots of Tweets Related to Food, Entertainment, Work, and
               Study in Gangnam Area of Seoul, Korea}",
  booktitle = "{Esri Map Book}",
  author    = "Park, W and Chiang, Y-Y and Lee, S J and Yu, K",
  publisher = "Esri",
  volume    = "31: GIS -- Enabling a Smarter World. Redlands",
  year      =  2016
}

@INPROCEEDINGS{Duan2016-se,
  title     = "{{Building knowledge graph from public data for predictive
               analysis: a case study on predicting technology future in space
               and time}}",
  booktitle = "{{Proceedings of the 5th ACM SIGSPATIAL International Workshop on
               Analytics for Big Geospatial Data}}",
  author    = "Duan, Weiwei and Chiang, Yao-Yi",
  publisher = "ACM",
  pages     = "7--13",
  month     =  oct,
  year      =  2016,
  url       = "http://dl.acm.org/citation.cfm?doid=3006386.3006388",
  url-file      = "papers/Duan-and-Chiang-2016-Building-knowledge-graph-from-public-data-for-pre...-ysis-a-case-study-on-predicting-technology-future-in-space-and-time.pdf",
  isbn      = "9781450345811",
  doi       = "10.1145/3006386.3006388"
}

@INPROCEEDINGS{Leyk2016-dy,
  title     = "{{Information Extraction based on the Concept of Geographic
               Context}}",
  booktitle = "{Proceedings of the 2016 AutoCarto}",
  author    = "Leyk, Stefan and Chiang, Yao-Yi",
  editor    = "Freundschuh, Scott M",
  publisher = "AutoCarto",
  pages     = "100--110",
  year      =  2016,
  url       = "http://geo.gmu.edu/AutoCarto2016/Leyk_and_Chiang.pdf",
  url-file      = "papers/Leyk-and-Chiang-2016-Information-Extraction-based-on-the-Concept-of-Geographic-Context.pdf"
}

@INPROCEEDINGS{Zhang2016-ra,
  title     = "{{An Automatic Approach for Building Place-Name Datasets from the
               Web}}",
  booktitle = "{{Proceedings of the 19th AGILE International Conference on
               Geographic Information Science}}",
  author    = "Zhang, Ying and Chiang, Yao-Yi and Knoblock, Craig and Li,
               Chaopeng and Du, Liming and Liu, Shaowen and Singh, Sanjay",
  year      =  2016,
  url-file      = "papers/Zhang-et-al.-2016-An-Automatic-Approach-for-Building-Place-Name-Datasets-from-the-Web.pdf"
}

@INPROCEEDINGS{Honarvar_Nazari2016-wv,
  title     = "{Integrating Text Recognition for Overlapping Text Detection in
               Maps}",
  booktitle = "{Proceedings of the Electronic Imaging, Document Recognition and
               Retrieval XXIII conference, Society for Imaging Science and
               Technology}",
  author    = "Honarvar Nazari, Narges and Tan, Tian Xiang and Chiang, Yao-Yi",
  pages     = "1--8",
  series    =  8,
  year      =  2016,
  url-file      = "papers/Honarvar-Nazari-et-al.-2016-Integrating-Text-Recognition-for-Overlapping-Text-Detection-in-Maps.pdf"
}

@ARTICLE{Chiang2016-zr,
  title   = "{{Assessing the impact of graphical quality on automatic text
             recognition in digital maps}}",
  author  = "Chiang, Yao-Yi and Leyk, Stefan and Nazari, Narges Honarvar and
             Moghaddam, Sima and Tan, Tian Xiang",
  journal = "Computers \& geosciences",
  volume  =  93,
  pages   = "21--35",
  month   =  aug,
  year    =  2016,
  url     = "http://dx.doi.org/10.1016/j.cageo.2016.04.013",
  url-file    = "papers/Chiang-et-al.-2016-Assessing-the-impact-of-graphical-quality-on-automatic-text-recognition-in-digital-maps.pdf",
  issn    = "0098-3004",
  doi     = "10.1016/j.cageo.2016.04.013"
}

@INPROCEEDINGS{Yu2016-mk,
  title     = "{{Recognizing Text On Historical Maps Using Maps From Multiple
               Time Periods}}",
  booktitle = "{{Proceedings of the 23rd International Conference on Pattern
               Recognition}}",
  author    = "Yu, Ronald and Luo, Zexuan and Chiang, Yao-Yi",
  year      =  2016,
  url-file      = "papers/Yu-et-al.-2016-Recognizing-Text-On-Historical-Maps-Using-Maps-From-Multiple-Time-Periods.pdf"
}

@INPROCEEDINGS{Fernandes2015-fr,
  title     = "{{{Creating an Intuitive and Effective User Interface for Map
               Processing in a Geographic Information System}}}",
  booktitle = "{{Proceedings of the 27th International Cartographic Conference}}",
  author    = "Fernandes, Renuka and Chiang, Yao-Yi",
  year      =  2015,
  isbn      = "9788588783119"
}

@INPROCEEDINGS{Chiang2015-xq,
  title     = "{{Semi-Automated Visualization of Spatial Context in Unstructured
               Text}}",
  booktitle = "{{Proceedings of the 27th International Cartographic Conference}}",
  author    = "Chiang, Yao-Yi and Gehring, Sarah",
  year      =  2015,
  isbn      = "9788588783119"
}

@INPROCEEDINGS{Chiang2015-tr,
  title     = "{{Querying Historical Maps As a Unified, Structured, and Linked
               Spatiotemporal Source: Vision Paper}}",
  booktitle = "{{Proceedings of the 23rd SIGSPATIAL International Conference on
               Advances in Geographic Information Systems}}",
  author    = "Chiang, Yao-Yi",
  publisher = "ACM",
  pages     = "16:1--16:4",
  series    = "GIS '15",
  month     =  nov,
  year      =  2015,
  url       = "http://doi.acm.org/10.1145/2820783.2820887",
  url-file      = "papers/Chiang-2015-Querying-Historical-Maps-As-a-Unified,-Structured,-and-Linked-Spatiotemporal-Source-Vision-Paper.pdf",
  address   = "New York, NY, USA",
  location  = "Bellevue, Washington",
  isbn      = "9781450339674",
  doi       = "10.1145/2820783.2820887"
}

@INPROCEEDINGS{Chiang2015-bm,
  title     = "{{Exploiting Online Gazetteer for Fully Automatic Extraction of
               Cartographic Symbols}}",
  booktitle = "{{Proceedings of the 27th International Cartographic Conference}}",
  author    = "Chiang, Yao-Yi and Leyk, Stefan",
  year      =  2015,
  isbn      = "9788588783119"
}

% The entry below contains non-ASCII chars that could not be converted
% to a LaTeX equivalent.

@INPROCEEDINGS{Ngo2015-yj,
  title     = "{{Visualizing Land Reclamation in Hong Kong: A Web Application}}",
  booktitle = "{{Proceedings of the 27th International Cartographic Conference}}",
  author    = "Ngo, Vivian and Swift, Jennifer and Chiang, Yao-Yi",
  year      =  2015,
  url-file      = "papers/Ngo-et-al.-2015-Visualizing-Land-Reclamation-in-Hong-Kong-A-Web-Application.pdf",
  isbn      = "9788588783119"
}

@ARTICLE{Chiang2014-gr,
  title     = "{A Survey of Digital Map Processing Techniques}",
  author    = "Chiang, Yao-Yi and Leyk, Stefan and Knoblock, Craig A",
  journal   = "ACM Comput. Surv.",
  publisher = "Association for Computing Machinery",
  volume    =  47,
  number    =  1,
  pages     = "1--44",
  month     =  may,
  year      =  2014,
  url       = "https://doi.org/10.1145/2557423",
  url-file      = "papers/Chiang-et-al.-2014-A-Survey-of-Digital-Map-Processing-Techniques.pdf",
  address   = "New York, NY, USA",
  issn      = "0360-0300",
  doi       = "10.1145/2557423"
}

@INPROCEEDINGS{Chiang2014-ij,
  title     = "{A system for efficient cleaning and transformation of geospatial
               data attributes}",
  booktitle = "{Proceedings of the 22nd ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}",
  author    = "Chiang, Yao-Yi and Wu, Bo and Anand, Akshay and Akade, Ketan and
               Knoblock, Craig A",
  publisher = "ACM",
  pages     = "577--580",
  series    = "SIGSPATIAL '14",
  month     =  nov,
  year      =  2014,
  url       = "https://dl.acm.org/citation.cfm?doid=2666310.2666373",
  url-file      = "papers/Chiang-et-al.-2014-A-system-for-efficient-cleaning-and-transformation-of-geospatial-data-attributes.pdf",
  address   = "New York, NY, USA",
  location  = "Dallas, Texas",
  isbn      = "9781450331319",
  doi       = "10.1145/2666310.2666373"
}

@INPROCEEDINGS{Sathe2014-uo,
  title     = "{A parallel query engine for interactive spatiotemporal analysis}",
  booktitle = "{Proceedings of the 22nd ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}",
  author    = "Sathe, Mihir and Knoblock, Craig A and Chiang, Yao-Yi and
               Harris, Aaron",
  publisher = "ACM",
  pages     = "429--432",
  series    = "SIGSPATIAL '14",
  month     =  nov,
  year      =  2014,
  url       = "https://dl.acm.org/citation.cfm?doid=2666310.2666437",
  url-file      = "papers/Sathe-et-al.-2014-A-parallel-query-engine-for-interactive-spatiotemporal-analysis.pdf",
  address   = "New York, NY, USA",
  location  = "Dallas, Texas",
  isbn      = "9781450331319",
  doi       = "10.1145/2666310.2666437"
}

@INPROCEEDINGS{Chiang2014-hg,
  title     = "{{{\textbf{A Training-by-Example Approach for Symbol Spotting
               from Raster Maps }}}}",
  booktitle = "{{Proceedings of the 8th International Conference on Geographic
               Information Science}}",
  author    = "Chiang, Yao-Yi and Chioh, Phokgoan and Moghaddam, Sima",
  pages     = "264--269",
  year      =  2014,
  url       = "http://www.giscience.org/download/proceedings/GIScience2014EA.pdf",
  url-file      = "papers/Chiang-et-al.-2014-A-Training-by-Example-Approach-for-Symbol-Spotting-from-Raster-Maps.pdf"
}

@INPROCEEDINGS{Jaiswal2014-km,
  title     = "{{{Location Prediction With Sparse GPS Data}}}",
  booktitle = "{{Proceedings of the 8th International Conference on Geographic
               Information Science}}",
  author    = "Jaiswal, Ayush and Chiang, Yao-Yi and Knoblock, Craig A and Lan,
               Liang",
  pages     = "315--219",
  year      =  2014
}

@INPROCEEDINGS{Narayanan2014-cg,
  title     = "{{{Integration and Automation of Data Preparation and Data
               Mining}}}",
  booktitle = "{Proceedings of the 2014 IEEE International Conference on Data
               Mining Workshop}",
  author    = "Narayanan, S and Jaiswal, A and Chiang, Y Y and Geng, Y and
               Knoblock, C A and Szekely, P",
  publisher = "IEEE",
  pages     = "1076--1085",
  month     =  dec,
  year      =  2014,
  url       = "http://dx.doi.org/10.1109/ICDMW.2014.44",
  url-file      = "papers/Narayanan-et-al.-2014-Integration-and-Automation-of-Data-Preparation-and-Data-Mining.pdf",
  language  = "English",
  issn      = "2375-9232",
  isbn      = "9781479942749",
  doi       = "10.1109/ICDMW.2014.44"
}

@ARTICLE{Chiang2014-cu,
  title     = "{{Recognizing Text in Raster Maps}}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  journal   = "GeoInformatica",
  publisher = "Springer US",
  volume    =  19,
  number    =  1,
  pages     = "1--27",
  month     =  feb,
  year      =  2014,
  url       = "http://dx.doi.org/10.1007/s10707-014-0203-9",
  url-file      = "papers/Chiang-and-Knoblock-2014-Recognizing-Text-in-Raster-Maps.pdf",
  language  = "en",
  issn      = "1384-6175, 1573-7624",
  doi       = "10.1007/s10707-014-0203-9"
}

@INPROCEEDINGS{Chiang2014-kx,
  title     = "{{From Map Images to Geographic Names}}",
  booktitle = "{{Proceedings of the 22nd ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}}",
  author    = "Chiang, Yao-Yi and Moghaddam, Sima and Gupta, Sanjauli and
               Fernandes, Renuka and Knoblock, Craig A",
  publisher = "ACM",
  pages     = "581--584",
  month     =  nov,
  year      =  2014,
  url       = "http://dl.acm.org/citation.cfm?doid=2666310.2666374",
  url-file      = "papers/Chiang-et-al.-2014-From-Map-Images-to-Geographic-Names.pdf",
  address   = "New York, New York, USA",
  isbn      = "9781450331319",
  doi       = "10.1145/2666310.2666374"
}

@INPROCEEDINGS{Zhang2013-fk,
  title     = "{A semantic approach to retrieving, linking, and integrating
               heterogeneous geospatial data}",
  booktitle = "{{Joint Proceedings of the Workshop on AI Problems and Approaches
               for Intelligent Environments and Workshop on Semantic Cities}}",
  author    = "Zhang, Ying and Chiang, Yao-Yi and Szekely, Pedro and Knoblock,
               Craig A",
  publisher = "ACM",
  pages     = "31--37",
  series    = "AIIP '13",
  month     =  aug,
  year      =  2013,
  url       = "https://dl.acm.org/citation.cfm?doid=2516911.2516914",
  url-file      = "papers/Zhang-et-al.-2013-A-semantic-approach-to-retrieving,-linking,-and-integrating-heterogeneous-geospatial-data.pdf",
  address   = "New York, NY, USA",
  location  = "Beijing, China",
  isbn      = "9781450323468",
  doi       = "10.1145/2516911.2516914"
}

@INPROCEEDINGS{Chiang2013-zo,
  title     = "{{{Strabo: A Complete System for Label Recognition in Maps}}}",
  booktitle = "{{Proceedings of the 26th International Cartographic Conference
               (ICC'13)}}",
  author    = "Chiang, Yao-Yi",
  pages     = "838--838",
  year      =  2013,
  isbn      = "9781907075063"
}

@INCOLLECTION{Chiang2013-fw,
  title     = "{Efficient and Robust Graphics Recognition from Historical Maps:
               9th International Workshop, GREC 2011, Seoul, Korea, September
               15-16, 2011, Revised Selected Papers}",
  booktitle = "{{Graphics Recognition. New Trends and Challenges: 9th
               International Workshop, GREC 2011, Seoul, Korea, September
               15-16, 2011, Revised Selected Papers}}",
  author    = "Chiang, Yao-Yi and Leyk, Stefan and Knoblock, Craig A",
  editor    = "Kwon, Young-Bin and Ogier, Jean-Marc",
  publisher = "Springer Berlin Heidelberg",
  volume    =  7423,
  pages     = "25--35",
  series    = "Lecture Notes in Computer Science, GREC'11",
  year      =  2013,
  url       = "http://dx.doi.org/10.1007/978-3-642-36824-0_3",
  url-file      = "papers/Chiang-et-al.-2013-Efficient-and-Robust-Graphics-Recognition-from-Hist...-EC-2011,-Seoul,-Korea,-September-15-16,-2011,-Revised-Selected-Papers.pdf",
  address   = "Berlin, Heidelberg",
  location  = "Seoul, Korea",
  issn      = "0302-9743, 1611-3349",
  isbn      = "9783642368233, 9783642368240",
  doi       = "10.1007/978-3-642-36824-0\_3"
}

@ARTICLE{Chiang2013-gv,
  title     = "{{A General Approach for Extracting Road Vector Data from Raster
               Maps}}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  journal   = "International Journal on Document Analysis and Recognition
               (IJDAR)",
  publisher = "Springer, Berlin / Heidelberg",
  volume    =  16,
  number    =  1,
  pages     = "55--81",
  month     =  mar,
  year      =  2013,
  url       = "http://link.springer.com/10.1007/s10032-011-0177-1",
  url-file      = "papers/Chiang-and-Knoblock-2013-A-General-Approach-for-Extracting-Road-Vector-Data-from-Raster-Maps.pdf",
  language  = "English",
  issn      = "1433-2833, 1433-2825",
  doi       = "10.1007/s10032-011-0177-1"
}

@INCOLLECTION{Chiang2012-dp,
  title     = "{Generating Named Road Vector Data from Raster Maps}",
  booktitle = "{Geographic Information Science}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  editor    = "Xiao, Ningchuan and Kwan, Mei-Po and Goodchild, Michael F and
               Shekhar, Shashi",
  publisher = "Springer Berlin Heidelberg",
  volume    =  7478,
  pages     = "57--71",
  series    = "Lecture Notes in Computer Science",
  year      =  2012,
  url       = "http://dx.doi.org/10.1007/978-3-642-33024-7_5",
  url-file      = "papers/Chiang-and-Knoblock-2012-Chiang-2012-Generating-Named-Road-Vector-Data.pdf",
  address   = "Berlin, Heidelberg",
  language  = "English",
  issn      = "0302-9743, 1611-3349",
  isbn      = "9783642330230, 9783642330247",
  doi       = "10.1007/978-3-642-33024-7\_5"
}

@INCOLLECTION{Chiang2010-rk,
  title     = "{Extracting Road Vector Data from Raster Maps}",
  booktitle = "{Graphics Recognition. Achievements, Challenges, and Evolution.
               GREC 2009. Lecture Notes in Computer Science}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  editor    = "Ogier, J M and ., Liu W and J., Llad{\'o}s",
  publisher = "Springer Berlin Heidelberg",
  volume    =  6020,
  pages     = "93--105",
  year      =  2010,
  url       = "http://dx.doi.org/10.1007/978-3-642-13728-0_9",
  url-file      = "papers/Chiang-and-Knoblock-2010-Extracting-Road-Vector-Data-from-Raster-Maps.pdf",
  doi       = "10.1007/978-3-642-13728-0\_9"
}

@INPROCEEDINGS{Knoblock2010-vk,
  title      = "{{A general approach to discovering, registering, and extracting
                features from raster maps}}",
  booktitle  = "{Document Recognition and Retrieval XVII}",
  author     = "Knoblock, Craig A and Chen, Ching-Chien and Chiang, Yao-Yi and
                Goel, Aman and Michelson, Matthew and Shahabi, Cyrus",
  publisher  = "International Society for Optics and Photonics",
  volume     =  7534,
  pages      = "753402--753402--15",
  month      =  jan,
  year       =  2010,
  url        = "http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=776640",
  url-file       = "papers/Knoblock-et-al.-2010-A-general-approach-to-discovering,-registering,-and-extracting-features-from-raster-maps.pdf",
  conference = "Document Recognition and Retrieval XVII",
  doi        = "10.1117/12.838967"
}

@INPROCEEDINGS{Chiang2010-co,
  title     = "{{{An Approach for Recognizing Text Labels in Raster Maps}}}",
  booktitle = "{{Proceedings of the 20th International Conference on Pattern
               Recognition}}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  pages     = "3199--3202",
  year      =  2010,
  url-file      = "papers/Chiang-and-Knoblock-2010-An-Approach-for-Recognizing-Text-Labels-in-Raster-Maps.pdf"
}

@INPROCEEDINGS{Chiang2010-go,
  title     = "{{Strabo: a System for Extracting Road Vector Data From Raster
               Maps}}",
  booktitle = "{{Proceedings of the 18th SIGSPATIAL International Conference on
               Advances in Geographic Information Systems}}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  publisher = "\textbackslash ACM Request Permissions",
  pages     = "544--545",
  month     =  nov,
  year      =  2010,
  url       = "http://portal.acm.org/citation.cfm?doid=1869790.1869889",
  url-file      = "papers/Chiang-and-Knoblock-2010-Strabo-a-System-for-Extracting-Road-Vector-Data-From-Raster-Maps.pdf",
  address   = "New York, New York, USA",
  isbn      = "9781450304283",
  doi       = "10.1145/1869790.1869889"
}

@ARTICLE{Chiang2009-xi,
  title     = "{{{Automatic and Accurate Extraction of Road Intersections from
               Raster Maps}}}",
  author    = "Chiang, Yao-Yi and Knoblock., Craig A and Shahabi, Cyrus and
               Chen, Ching-Chien",
  journal   = "GeoInformatica",
  publisher = "Springer US",
  volume    =  13,
  number    =  2,
  pages     = "121--157",
  month     =  jun,
  year      =  2009,
  url       = "https://doi.org/10.1007/s10707-008-0046-3",
  url-file      = "papers/Chiang-et-al.-2009-Automatic-and-Accurate-Extraction-of-Road-Intersections-from-Raster-Maps.pdf",
  language  = "en",
  issn      = "1384-6175, 1573-7624",
  doi       = "10.1007/s10707-008-0046-3"
}

@INPROCEEDINGS{Chiang2009-fh,
  title     = "{{{A Method for Automatically Extracting Road Layers from Raster
               Maps}}}",
  booktitle = "{Proceedings of the 2009 10th International Conference on
               Document Analysis and Recognition}",
  author    = "Chiang, Y Y and Knoblock, C A",
  pages     = "838--842",
  month     =  jul,
  year      =  2009,
  url       = "http://dx.doi.org/10.1109/ICDAR.2009.274",
  url-file      = "papers/Chiang-and-Knoblock-2009-A-Method-for-Automatically-Extracting-Road-Layers-from-Raster-Maps.pdf",
  issn      = "1520-5363",
  doi       = "10.1109/ICDAR.2009.274"
}

@INPROCEEDINGS{Chiang2009-dt,
  title     = "{{Classification of Raster Maps for Automatic Feature Extraction}}",
  booktitle = "{{Proceedings of the 17th ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  publisher = "ACM",
  pages     = "138--147",
  series    = "GIS '09",
  month     =  nov,
  year      =  2009,
  url       = "https://dl.acm.org/citation.cfm?doid=1653771.1653793",
  url-file      = "papers/Chiang-and-Knoblock-2009-Classification-of-Raster-Maps-for-Automatic-Feature-Extraction.pdf",
  address   = "New York, NY, USA",
  location  = "Seattle, Washington",
  isbn      = "9781605586496",
  doi       = "10.1145/1653771.1653793"
}

@INPROCEEDINGS{Chiang2008-fo,
  title     = "{{{Automatic extraction of road intersection position,
               connectivity, and orientations from raster maps}}}",
  booktitle = "{{Proceedings of the 16th ACM SIGSPATIAL International Conference
               on Advances in Geographic Information Systems}}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A",
  publisher = "ACM Press",
  pages     = "1--10",
  month     =  nov,
  year      =  2008,
  url       = "http://doi.acm.org/10.1145/1463434.1463463",
  url-file      = "papers/Chiang-and-Knoblock-2008-Automatic-extraction-of-road-intersection-position,-connectivity,-and-orientations-from-raster-maps.pdf",
  isbn      = "9781605583235",
  doi       = "10.1145/1463434.1463463"
}

@INPROCEEDINGS{Chiang2006-ct,
  title     = "{{{Classification of Line and Character Pixels on Raster Maps
               Using Discrete Cosine Transformation Coefficients and Support
               Vector Machine}}}",
  booktitle = "{Proceedings of the International Conference on Pattern
               Recognition}",
  author    = "Chiang, Yao-Yi Yi and Knoblock, Craig A",
  publisher = "IEEE",
  volume    =  2,
  pages     = "1034--1037",
  month     =  aug,
  year      =  2006,
  url       = "http://dx.doi.org/10.1109/ICPR.2006.368",
  url-file      = "papers/Chiang-and-Knoblock-2006-Classification-of-Line-and-Character-Pixels-o...-iscrete-Cosine-Transformation-Coefficients-and-Support-Vector-Machine.pdf",
  issn      = "1051-4651",
  isbn      = "9780769525211",
  doi       = "10.1109/ICPR.2006.368"
}

@INPROCEEDINGS{Pal2006-bz,
  title     = "{{{Recognition of English Multi-oriented Characters}}}",
  booktitle = "{Proceedings of the 18th International Conference on Pattern
               Recognition (ICPR'06)}",
  author    = "Pal, U and Kimura, F and Roy, K and Pal, T",
  publisher = "IEEE Computer Society",
  volume    =  2,
  pages     = "873--876",
  month     =  aug,
  year      =  2006,
  url       = "http://dx.doi.org/10.1109/ICPR.2006.971",
  url-file      = "papers/Pal-et-al.-2006-Recognition-of-English-Multi-oriented-Characters.pdf",
  issn      = "1051-4651",
  isbn      = "9780769525211",
  doi       = "10.1109/ICPR.2006.971"
}

@INPROCEEDINGS{Shahabi2006-dp,
  title     = "{{GEODEC: Eenableing Geospatial Decision Making}}",
  booktitle = "{{Proceedings of the IEEE International Conference on Multimedia
               \& Expo}}",
  author    = "Shahabi, Cyrus and Chiang, Yao-Yi and Chung, Kelvin and Huang,
               Kai-Chen and Khoshgozaran-Haghighi, Jeff and Craig A. Knoblocknd
               Lee, Sung Chun and Neumann, Ulrich and Nevatia, Ram and Rihan,
               Arjun and Thakkar, Snehal and You, Suya",
  publisher = "IEEE",
  pages     = "93--96",
  year      =  2006,
  url-file      = "papers/Shahabi-et-al.-2006-GEODEC-Eenableing-Geospatial-Decision-Making.pdf"
}

@INPROCEEDINGS{Desai2005-gf,
  title     = "{{{Automatically identifying and georeferencing street maps on
               the web}}}",
  booktitle = "{{Proceedings of the 2nd International Workshop on Geographic
               Information Retrieval}}",
  author    = "Desai, Sneha and Knoblock, Craig A and Chiang, Yao-Yi and Desai,
               Kandarp and Chen, Ching-Chien",
  pages     = "35--38",
  year      =  2005,
  url-file      = "papers/Desai-et-al.-2005-Automatically-identifying-and-georeferencing-street-maps-on-the-web.pdf"
}

@INPROCEEDINGS{Chiang2005-ny,
  title     = "{Automatic extraction of road intersections from raster maps}",
  booktitle = "{Proceedings of the 13th annual ACM international workshop on
               Geographic information systems}",
  author    = "Chiang, Yao-Yi and Knoblock, Craig A and Chen, Ching-Chien",
  publisher = "ACM",
  pages     = "267--276",
  series    = "GIS '05",
  month     =  nov,
  year      =  2005,
  url       = "https://dl.acm.org/citation.cfm?doid=1097064.1097102",
  url-file      = "papers/Chiang-et-al.-2005-Automatic-extraction-of-road-intersections-from-raster-maps.pdf",
  address   = "New York, NY, USA",
  location  = "Bremen, Germany",
  isbn      = "9781595931467",
  doi       = "10.1145/1097064.1097102"
}

@INPROCEEDINGS{Chen2004-tl,
  title     = "{{{Automatically and Accurately Conflating Orthoimagery and
               Street Maps}}}",
  booktitle = "{{Proceedings of the 12th Annual ACM International Workshop on
               Geographic Information Systems}}",
  author    = "Chen, Ching-Chien and Knoblock, Craig A and Shahabi, Cyrus and
               Chiang, Yao-Yi and Thakkar, Snehal",
  publisher = "ACM",
  pages     = "47--56",
  series    = "GIS '04",
  month     =  nov,
  year      =  2004,
  url       = "http://doi.acm.org/10.1145/1032222.1032231",
  url-file      = "papers/Chen-et-al.-2004-Automatically-and-Accurately-Conflating-Orthoimagery-and-Street-Maps.pdf",
  address   = "New York, NY, USA",
  location  = "Washington DC, USA",
  isbn      = "9781581139792",
  doi       = "10.1145/1032222.1032231"
}