PUBLICATION

Book

1. Chiang, Y.; Duan, W.; Leyk, S.; Uhl, J. H; and Knoblock, C. A (2020). Using Historical Maps in Scientific Studies: Applications, Challenges, and Best Practices. In SpringerBriefs, GeographySpringer International Publishing  

Book Chapters

1. Chiang, Y.; Lin, Y. and Wilson, J. P (2020). Design, Development, Testing, and Deployment of GIS Applications. In The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2020 Edition) The University Consortium for Geographic Information Science (UCGIS)  
2. Chiang, Y.-Y. (April 2017). Unlocking Textual Content from Historical Maps – Potentials & Applications, Trends, and Outlooks. In S. K.C., H. Mallikarjun, B. Vitoantonio, and N. Atul (eds.), Recent Trends in Image Processing and Pattern Recognition. Communications in Computer and Information Science, volume 709 (pp. 111–124). Singapore: Springer.  
3. Park, W., Chiang, Y.-Y., Lee, S. J., and Yu, K. (2016) Hot Spots of Tweets Related to Food, Entertainment, Work, and Study in Gangnam Area of Seoul, Korea. In Esri Map Book, volume 31: GIS – Enabling a Smarter World. Redlands, CA, USA: Esri. 
4. Chiang, Y.-Y., Leyk, S., and Knoblock, C. A. (2013). Efficient and Robust Graphics Recognition from Historical Maps. In Y.-B. Kwon and J.-M. Ogier (eds.), Graphics Recognition. New Trends and Challenges. Lecture Notes in Computer Science, volume 7423 (pp. 25–35). Berlin, Germany: Springer.  
5. Chiang, Y.-Y. and Knoblock, C. A. (2012). Generating Named Road Vector Data from Raster Map. In M. Kwan, M. Goodchild, and S. Shekhar (eds.), Geographic Information Science. GIScience 2012. Lecture Notes in Computer Science, volume 7478 (pp. 57–71). Berlin, Germany: Springer.  
6. Chiang, Y.-Y. and Knoblock, C. A. (2009). Extracting Road Vector Data from Raster Maps. In J.-M. Ogier, W. Liu, and J. Lladós (eds.), Graphics Recognition: Achievements, Challenges, and Evolution. GREC 2009. Lecture Notes in Computer Science, volume 6020 (pp. 93–105). Berlin, Germany: Springer.  

Refereed Journal Articles

1. Duan, W.; Chiang, Y.; Leyk, S.; Uhl, J. H; and Knoblock, C. A (April, 2020). Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. In International journal of geographical information science (IJGIS)34(4): 824–849.  
2. Karroum, K.; Lin, Y.; Chiang, Y.; Ben Maissa, Y.; El Haziti, M.; Sokolov, A.; and Delbarre, H. (March, 2020). A Review of Air Quality Modeling. In MAPAN  
3. Zhang, Y., Ma, Q., Chiang, Y.-Y., Knoblock, C., Zhang, X., Yang, P., ... & Hu, X. (2019). Extracting geographic features from the Internet: A geographic information mining framework. Knowledge-Based Systems, 174(15): 57–72. doi: 10.1016/j.knosys.2019.02.031  
4. Cheng, Y.; and Chiang, Y. (2019). Automatic intersection extraction and building arrangement with StarCraft II maps. SIGSPATIAL Special, 10(3): 4–5. doi:10.1145/3307599.3307602  
5. Wu, J., Wei, P., Yuan, X., Shu, Z., Chiang, Y.-Y., Fu, Z., Deng, M. (2019). A New Gabor Filter-based Method for Automatic Recognition of Hatched Residential Areas. IEEE Access, 7(1): 40649–40662. doi: 10.1109/ACCESS.2019.2907114  
6. Li, K., Habre, R., Deng, H., Urman, R., Morrison, J., Gilliland, F. D., Ambite, J.-L., Stripelis, D., Chiang, Y.-Y., Lin, Y., Bui, A. A. T., King, C., Hosseini, A., Van Vliet, E., Majid, S., Eckel, S. P. (2018). Applying Multivariate Segmentation Methods to Human Activity Recognition from Wearable Sensors Data. JMIR mHealth and uHealth (In press).  
7. Uhl, J. H., Leyk, S., Chiang, Y.-Y., Duan, W., and Knoblock, C. A. (2018). Spatializing Uncertainty in Image Segmentation Using Weakly Supervised Convolutional Neural Networks: A Case Study from Historical Map Processing. IET Image Processing (In press).  
8. VoPham, T., Hart, J. E., Laden, F., Chiang, Y.-Y. (2018) Emerging Trends in Geospatial Artificial Intelligence (geoAI): Potential Applications for Environmental Epidemiology. Environmental Health, (In press).  
9. Uhl, J. H., Leyk, S., Chiang, Y.-Y., Duan, W., and Knoblock, C. A. (2018) Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections. ISPRS International Journal of Geo-Information, 7(4), 148. doi: 10.3390/ijgi7040148   
10. Wu, J., Wan, Y., Chiang, Y.-Y., Fu, Z., Deng, M. (2018) A Matching Algorithm Based on Voronoi Diagram for Multi-Scale Polygonal Residential Areas. IEEE Access, vol 6: 4904 – 4915. doi: 10.1109/ACCESS.2018.2793302  
11. Duan, W. and Chiang Y.-Y. (2017) SRC: A Fully Automatic Geographic Feature Recognition System. SIGSPATIAL Special, 9(3):6-7. doi: 10.1145/3178392.3178396   
12. Lin, H. and Chiang Y.-Y. (2017) SRC: Automatic Extraction of Phrase-level Map Labels from Historical Maps. SIGSPATIAL Special, 9(3):14-15. doi: 10.1145/3178392.3178400   
13. Chiang, Y.-Y., Leyk, S., Honarvar Nazari, N., Moghaddam, S., and Tan, T. X. (2016) Assessing Impact of Graphical Quality on Automatic Text Recognition in Digital Maps. Computers & Geosciences, 93:21–35. doi: 10.1016/j.cageo.2016.04.013   
14. Wu, W., Meng, W., Su, W., Zhou, G., and Chiang, Y.-Y. (2015) Q2P: Discovering Query Templates via Autocompletion. ACM Transactions on the Web, 10(2):1–29. doi: 10.1145/2873061   
15. Chiang, Y.-Y. and Knoblock, C. A. (2014) Recognizing Text in Raster Maps. GeoInformatica, 19(1):1–27. doi: 10.1007/s10707-014-0203-9   
16. Chiang, Y.-Y., Leyk, S., and Knoblock, C. A. (2014). A Survey of Digital Map Processing Techniques. ACM Computing Surveys, 47(1):1–44. doi: 10.1145/2557423   
17. Chiang, Y.-Y. and Knoblock, C. A. (2013). A General Approach for Extracting Road Vector Data from Raster Maps. International Journal of Document Analysis and Recognition, 16(1):55–81. doi:10.1007/s10032-011-0177-1   
18. Chiang, Y.-Y., Knoblock, C. A., Shahabi, C., and Chen, C.-C. (2009). Automatic and Accurate Extraction of Road Intersections from Raster Maps. GeoInformatica, 13(2):121– 157. doi:10.1007/s10707-008-0046-3   

Refereed Conference & Symposium Proceedings

1. Lin, Y; Chiang, Y.; Franklin, M; Eckel, P S; and Ambite, J L (2020). Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. In Proceedings of IEEE International Conference on Data Mining (ICDM)  
2. Li, Z; Chiang, Y Y; Tavakkol, S; Shbita, B; Uhl, J H; Leyk, S and Knoblock, C. A. (Aug, 2020). An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. In Proceedings of ACM Knowledge Discovery and Data Mining Conference (KDD)  
3. Zhang, Y; Wang, Y; Li, F; Wu, B; Chiang, Y Y; and Zhang, X (2020). Efficient Deployment of Electric Vehicle Charging Infrastructure: Simultaneous Optimization of Charging Station Placement and Charging Pile Assignment. In IEEE Transactions on Intelligent Transportation Systems  
4. Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S (2020). Building Linked Spatio-Temporal Data from Vectorized Historical Maps. In The Semantic Web pages 409–426, Springer International Publishing  
5. Anastasiou, C.; Lin, J.; He, C.; Chiang, Y.; and Shahabi, C. (2019). ADMSv2: A Modern Architecture for Transportation Data Management and Analysis. In In Proceedings of the 2nd ACM SIGSPATIAL workshop (ARIC), New York, 2019.  
6. Yue, M; Li, Y; Yang, H; Ahuja, R; Chiang, Y; and Shahabi, C (December 2019). DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis. In Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), pages 988–997  
7. Chiang, Y Y; Lin, Y; Franklin, M; Eckel, S P; Ambite, J L; and Ku, W (December 2019). Building Explainable Predictive Analytics for Location-Dependent Time-Series Data. In Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), pages 202–209  
8. Tavakkol, S.; Chiang, Y.; Waters, T.; Han, F.; Prasad, K.; and Kiveris, R. (November 2019). Kartta Labs: Unrendering Historical Maps. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, of GeoAI 2019, pages 48–51, New York, NY, USA  
9. Gao, Y; Duan, Z; Shi, W; Feng, J; and Chiang, Y. (October 2019). Personalized Recommendation Method of POI Based on Deep Neural Network. In Proceedings of the 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), pages 1–6  
10. Shbita, B.; Vu, B.; Feldman, D.; Pham, M.; Rajendran, A; Knoblock, C A; Pujara, J; and Chiang, Y.(September 2019). Creating a FAIR Data Catalog to Support Scientific Modeling. In Proceedings of the Workshop on Advanced Knowledge Technologies for Science in a FAIR World (AKTS)  
11. Zhang, J; Shen, T; Wang, W; Jiang, X; Ku, W; Sun, M; and Chiang, Y Y (June 2019). A VLOS Compliance Solution to Ground/Aerial Parcel Delivery Problem. In Proceedings of the 2019 20th IEEE International Conference on Mobile Data Management (MDM), pages 201–209  
12. Garijo, D., Khider, D., Ratnakar, V., Gil, Y., Cobourn, K., Deelman, E., Duy, C., Ferreira da Silva, R., Kemanian, A., Knoblock, C. A., Kumar, V., Peckham, S., Chiang, Y.-Y., Khandelwal, A., Pham, M., Pujara, J., Stoica, M., Tayal, K., Vu, B., Feldman, D., Shu, L., Dabrowski, A., Lewis, D. H., Pierce, S. (March , 2019). An Intelligent Interface for Integrating Climate, Hydrology, Agriculture, and Socioeconomic Models. In Proceedings of the ACM International Conference on Intelligent User Interfaces '19 Companion , Marina del Ray, CA USA (accepted). 
13. Lin, Y., Mago, N., Gao, Y., Li, Y., Chiang, Y.-Y., Shahabi, C., and Ambite, J. L. (November 2018). Exploiting Spatiotemporal Patterns for Accurate Air Quality Forecasting using Deep Learning. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018), Seattle, WA USA (accepted). 
14. Nguyen, K., Yang, J., Lin, Y., Lin, J., Chiang, Y.-Y. and Shahabi, C. (November 2018). Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper) In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018), Seattle, WA USA (accepted). 
15. Lin, H., Chiang, Y.-Y. (November 2018). An Uncertainty Aware Method for Geographic Data Conflation. In Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, San Francisco, CA, USA (accepted). 
16. Lin, C., Su, H., Knoblock, C. A., Chiang, Y.-Y., Duan, W., Leyk, S., and Uhl, J. H. (October 2018). Building Linked Data from Historical Maps. SemSci 2018: Enabling Open Semantic Science, Monterey, CA USA (accepted). 
17. Eckel, S., Habre, R., Li, K., Deng, H., Urman, R., Morrison, J., Gauderman, W. J., Ambite, J. L., Chiang, Y.-Y., Stripelis, D., Lin Y., and Gilliland, F. D. (September 2018). Methods for Using Personal Sensor Monitoring Systems to Predict Asthma Exacerbations. ERS International Congress, Paris, France.  
18. Gil, Y., Cobourn, K., Deelman, E., Duffy, C., da Silva, R. F., Kemanian, A., Knoblock, C., Kumar, V., Peckham, S., Carvalho, L., Chiang, Y.-Y., Garijo, D., Khider, D., Khandelwal, A., Pahm, M., Pujara, J., Ratnakar, V., Stoica, M., and Vu, B. (June 2018). MINT: Model Integration Through Knowledge-Powered Data and Process Composition. In Proceedings of the Ninth International Congress on Environmental Modeling and Software, Ft Collins, CO USA.  
19. Zekun Li, Yue Wu, Wael Abd-Almageed, and Prem Natarajan Weighted Feature Pooling Network in Template-Based Recognition. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV), Perth, Australia.
20. Uhl, J. H., Leyk, S., Chiang, Y.-Y., Duan, W., and Knoblock, C. A. (May 2018) Exploring the Potential of Deep Learning for Settlement Symbol Extraction from Historical Map Documents. UCGIS/AutoCarto, Madison, WI USA.
21. Duan, W., Chiang, Y.-Y., Knoblock, C. A., Uhl, J. H., and Leyk, S. (May 2018) Automatic Generation of Precisely Delineated Geographic Features from Georeferenced Historical Maps Using Deep Learning. UCGIS/AutoCarto, Madison, WI USA.
22. Yu, X., Cheng, Y., Lin Y., Chiang, Y.-Y., Stripelis, D., and Ambite, J. L. (May 2018) MAPINS: An Intra-City PM2.5 Modeling Web Application Using A Scalable Data Management and Analysis System Integrating Public Multi-Source Data. UCGIS/AutoCarto, Madison, WI USA.
23. Chiang, Y.-Y., Feldman, D. (January 2018) Next Generation Framework for Imagery Recognition and Analysis. The 1st workshop of the NSF project: SI2-S2I2 Conceptualization: Geospatial Software Institute (GSI), Los Angeles, CA USA. 
24. Uhl, J. H., Leyk, S., Chiang, Y.-Y., Duan, W., and Knoblock, C. A. (November 2017) Machine-learning based Approaches for Extracting Settlement Features from Historical Maps. In Proceedings of the International Land Use Symposium 2017 (Spatial data modelling and visualisation to enlighten sustainable policy making), Dresden, Germany.  
25. Duan, W., Chiang, Y.-Y., Knoblock, C. A., Vinil, J., Feldman, D., Uhl, J. H., and Leyk, S. (November 2017) Automatic Alignment of Vector Data with Geographic Features for Feature Recognition in Historical Maps. In Proceedings of the First GeoAI Workshop, Redondo Beach, CA USA.  
26. Lin Y., Pan F., Chiang Y.-Y., Stripelis D., Ambite J. L., Eckel S. P., and Habre R. (November 2017) Mining public datasets for modeling intra-city PM2.5 concentrations at a fine spatial resolution. In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017), Redondo Beach, CA USA  
27. Holmes-Wong, D., Chiang, Y.-Y., (October 2017) Unlocking Maps for Discovery and Other Purposes, Digital Library Federation (DLF) Forum, Pittsburg, PA USA 
28. Eckel, S. P., Deng, H., Urman, R., Habre, R., Morrison, J., Gauderman, J., Ambite, J. L., Chiang, Y.-Y., Stripelis, D., and Gilliland, F. D. (September 2017) Methods for Predicting Asthma Exacerbations using Personal Sensor Monitoring systems, International Society for Environmental Epidemiology (ISEE), Sydney, Australia.  
29. Uhl, J. H., Leyk, S., Chiang, Y.-Y., Duan, W., and Knoblock, C. A. (July 2017) Extracting Human Settlement Footprint from Historical Topographic Map Series Using Context-Based Machine Learning. In Proceedings of the IAPR 8th International Conference on Pattern Recognition Systems, Madrid, Spain (best paper award). 
30. Chiang, Y.-Y., Jain, A., Bandyopadhyay, B., Knoblock, A. C. (June 2017) Automatic Learning of User Design Rationales from Examples. In Proceedings of the Symposium on Solid and Physical Modeling (SPM), Berkeley, CA, USA. 
31. Nanetti, A., Cattaneo, A., Cheong, S.-A., Chiang, Y.-Y., and Lin, C.-Y. (July 2017). Visual Knowledge Aggregation: From Static to Dynamic Information Systems in Library Contexts. In Proceedings of the ICA Pre-Conference Workshop on Mapping Tools for Non-Mapping Experts: Incorporating Geospatial Visualization Tools in Libraries, Washington, D.C., USA.  
32. Leyk, S. and Chiang, Y.-Y. (July 2017). Implementing the Concept of Geographic Context for Efficient Recognition from Large-Scale Topographic Map Series. In Proceedings of the 28th International Cartographic Conference, Washington, D.C., USA.
33. Chiang, Y.-Y. (July 2017). Linking Historical Maps to the USC Shoah Foundation Visual History Archive. In Proceedings of the 28th International Cartographic Conference, Washington, D.C., USA.  
34. Stripelis, D., Ambite, J. L., Chiang, Y.-Y., Eckel, S. P., and Habre, R. (April 2017). A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma. In Proceedings of the 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 1407-1408, San Diego, CA, USA.  
35. Duan, W. and Chiang, Y.-Y. (2016). Building Knowledge Graph from Public Data for Predictive Analysis - A Case Study on Predicting Technology Future in Space and Time. In Proceedings of the 5th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, pp. 7–13, San Francisco, CA, USA.   
36. Yu, R., Luo, Z., and Chiang, Y.-Y. (2016). Recognizing Text on Historical Maps Using Maps from Multiple Time Periods. In Proceedings of the 23rd International Conference on Pattern Recognition, IEEE, pp. 3993–3998, Cancun, Mexico.   
37. Chiang, Y.-Y. (2016). Exploiting Context in Cartographic Evolutionary Documents to Extract and Build Linked Spatial-Temporal Datasets. In Proceedings of the 2016 Conference on Complex Systems, Complex Systems Society, Amsterdam, Netherlands (invited abstract & speech).  
38. Leyk, S. and Chiang, Y.-Y. (2016). Information Extraction Based on the Concept of Geographic Context. In Proceedings of the 2016 AutoCarto, pp. 100–110, Albuquerque, NM, USA.   
39. Honarvar Nazari, N., Tan, T. X., Chiang, Y.-Y. (2016) Integrating Text Recognition for Overlapping Text Detection in Maps. In Proceedings of the Electronic Imaging, Document Recognition and Retrieval XXIII conference, Society for Imaging Science and Technology, pp. 1–8(8), San Francisco, CA, USA.   
40. Zhang, Y., Chiang, Y.-Y., Knoblock, C. A., Li, C., Du, L., Liu, S., and Singh, S. (2016) An Automatic Approach for Building Place-Name Datasets from the Web. In Proceedings of the 19th AGILE International Conference on Geographic Information Science, Helsinki, Finland.  
41. Chiang, Y.-Y. (2015) Querying Historical Maps as a Unified, Structured, and Linked Spatiotemporal Source (Vision Paper). In Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 16:1–16:4, Seattle, WA, USA (best vision paper award).   
42. Chiang, Y.-Y., Leyk, S., Honarvar Nazari, N., and Moghaddam, S. (2015) The Impact of Graphical Quality on Automatic Text Recognition in Digital Maps. In Proceedings of the 27th International Cartographic Conference (ISBN 978-85-88783-11-9), Rio de Janeiro, Brazil.  
43. Chiang, Y.-Y. and Leyk, S. (2015) Exploiting Online Gazetteer for Fully Automatic Extraction of Cartographic Symbols. In Proceedings of the 27th International Cartographic Conference (ISBN 978-85-88783-11-9), Rio de Janeiro, Brazil.  
44. Chiang, Y.-Y. and Gehring, S. (2015) Semi-Automated Visualization of Spatial Context in Unstructured Text. In Proceedings of the 27th International Cartographic Conference (ISBN 978-85-88783-11-9), Rio de Janeiro, Brazil.  
45. Ngo, V., Swift, J., and Chiang, Y.-Y. (2015) Visualizing Land Reclamation in Hong Kong: A Web Application. In Proceedings of the 27th International Cartographic Conference (ISBN 978-85-88783-11-9), Rio de Janeiro, Brazil.  
46. Fernandes, R. and Chiang, Y.-Y. (2015) Creating an Intuitive and Effective User Interface for Map Processing in a Geographic Information System. In Proceedings of the 27th International Cartographic Conference (ISBN 978-85-88783-11-9), Rio de Janeiro, Brazil.  
47. Narayanan, A., Jaiswal, A., Chiang, Y.-Y., Geng, Y., Knoblock, C. A., and Szekely, P. (2014) Integration and Automation of Data Preparation and Data Mining. In Proceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW), pp. 1076–1085, Shenzhen, China.   
48. Sathe, M., Knoblock, C. A., Chiang, Y.-Y., and Harris, A. (2014) A Parallel Query Engine for Interactive Spatiotemporal Analysis. In Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 429–432, Dallas, TX, USA.   
49. Chiang, Y.-Y., Moghaddam, S., Gupta, S., Fernandes, R., and Knoblock, C. A. (2014) From Map Images to Geographic Names. In Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 581–584, Dallas, TX, USA.   
50. Chiang, Y.-Y., Wu, B., Anand, A., Akade, K., and Knoblock, C. A. (2014) A System for Efficient Cleaning and Transformation of Geospatial Data Attributes. In Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 577–580, Dallas, TX, USA.   
51. Chiang, Y.-Y., Chioh, P., and Moghaddam, S. (2014) A Training-by-Example Approach for Symbol Spotting from Raster Maps. In Proceedings of the 8th International Conference on Geographic Information Science (GIScience), pp. 264–269, Vienna, Austria.  
52. Jaiswal, A., Chiang, Y.-Y., Knoblock, C. A., and Lan, L. (2014) Location Prediction with Sparse GPS Data. In Proceedings of the 8th International Conference on Geographic Information Science (GIScience), pp. 315–319, Vienna, Austria. 
53. Chiang, Y.-Y. (2013) Strabo: A Complete System for Label Recognition in Maps. In Proceedings of the 26th International Cartographic Conference (ISBN: 978-1-907075-06-3), Dresden, Germany. 
54. Zhang, Y., Chiang, Y.-Y., Szekely, P., and Knoblock, C. A. (2013) A Semantic Approach to Retrieving, Linking, and Integrating Heterogeneous Geospatial Data. In Proceedings of the Workshop on Semantic Cities. International Joint Conference on Artificial Intelligence (IJCAI-13), ACM, pp. 31–37, Beijing, China.   
55. Chiang, Y.-Y. and Knoblock, C. A. (2011). Recognition of Multi-Oriented, Multi-Sized, and Curved Text. In Proceedings of the 11th International Conference on Document Analysis and Recognition, IEEE, pp. 1399–1403, Beijing, China.  
56. Chiang, Y.-Y., Leyk, S., and Knoblock, C. A. (2009). Integrating Color Image Segmentation and User Labeling for Efficient and Robust Graphics Recognition from Historical Maps. In Proceedings of the 9th IAPR International Workshop on Graphics Recognition (GREC), Beijing, China.  
57. Chiang, Y.-Y. and Knoblock, C. A. (2010). Strabo: A System for Extracting Road Vector Data from Raster Maps (demo paper). In Proceedings of the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 544–545, San Jose, CA, USA.   
58. Chiang, Y.-Y. and Knoblock, C. A. (2010). An Approach for Recognizing Text Labels in Raster Maps. In Proceedings of the 20th International Conference on Pattern Recognition, IEEE, pp. 3199–3202, Istanbul, Turkey.   
59. Knoblock, C. A., Chen, C.-C., Chiang, Y.-Y., Goel, A., Michelson, M., and Shahabi, C. (2010). A General Approach to Discovering, Registering, and Extracting Features from Raster Maps. In Proceedings of the Conference on Document Recognition and Retrieval XVII of SPIE-IS&T Electronic Imaging, SPIE, volume 7534, San Francisco, CA, USA.   
60. Chiang, Y.-Y. and Knoblock, C. A. (2009). Classification of Raster Maps for Automatic Feature Extraction. In Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 138–147, Seattle, WA, USA.   
61. Chiang, Y.-Y. and Knoblock, C. A. (2009). A Method for Automatically Extracting Road Layers from Raster Maps. In Proceedings of the Tenth International Conference on Document Analysis and Recognition, IEEE, pp. 838–842, Barcelona, Span.   
62. Chiang, Y.-Y. and Knoblock, C. A. (2009). Automatic Road Vectorization of Raster Maps. In Proceedings of the 8th IAPR International Workshop on Graphics Recognition (GREC), pp. 27–28, La Rochelle, France.  
63. Chiang, Y.-Y. and Knoblock, C. A. (2008). Automatic Extraction of Road Intersection Position, Connectivity, and Orientations from Raster Maps. In Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 1–10, Irvine, CA, USA.   
64. Chiang, Y.-Y. and Knoblock, C. A. (2006). Classification of Line and Character Pixels on Raster Maps using Discrete Cosine Transformation Coefficients and Support Vector Machine. In Proceedings of the 18th International Conference on Pattern Recognition, IEEE, pp. 1034–1037, Hong Kong, China.   
65. Shahabi, C., Chiang, Y.-Y., Chung, K., Huang, K.-C., Khoshgozaran-Haghighi, J., Knoblock, C. A., Lee, S. C., Neumann, U., Nevatia, R., Rihan, A., Thakkar, S., and You, S. (2006). GeoDec: Enabling Geospatial Decision Making. In Proceedings of the International Conference on Multimedia & Expo, IEEE, pp. 93–96, Toronto, Ontario, Canada.  
66. Chiang, Y.-Y., Knoblock, C. A., and Chen, C.-C. (2005). Automatic Extraction of Road Intersections from Raster Maps. In Proceedings of the 13th ACM International Symposium on Advances in Geographic Information Systems, pp. 267–276, Bremen, Germany.   
67. Desai, S., Knoblock, C. A., Chiang, Y.-Y., Desai, K., and Chen, C.-C. (2005). Automatically Identifying and Georeferencing Street Maps on the Web. In Proceedings of the 2nd International Workshop on Geographic Information Retrieval, ACM, pp. 35–38, Bremen, Germany.  
68. Chen, C.-C., Knoblock, C. A., Shahabi, C., Chiang, Y.-Y., and Thakkar, S. (2004). Automatically and Accurately Conflating Orthoimagery and Street Maps. In Proceedings of the 12th ACM International Symposium on Advances in Geographic Information Systems, pp. 47–56, Washington, D.C., USA.  

Open Source Software and Datasets

1. Karma-CAD: A Semi-Automatic System for Learning User Intent of CAD Models [Computing software]. (2017). Apache License, Version 2.0. Retrieved from https://github.com/spatial-computing/Karma-CAD
2. Strabo: A Complete System for Text Recognition from Maps [Computer software]. (2017). Apache License, Version 2.0. Retrieved from https://github.com/spatial-computing/strabo-text-recognition
3. Machine Readable Map Labels [Data sets]. (2017). Open Database License (ODbL) v1.0. Retrieved from https://github.com/spatial-computing/map-ocr-ground-truth
4. Karma: A Data Integration Tool [Computer software]. (2017). Apache License, Version 2.0. Retrieved from http://usc-isi-i2.github.io/karma/
5. Generating Place Datasets from the Web [Computer Software]. (2016). Apache License, Version 2.0. Retrieved from https://github.com/spatial-computing/generating-place-datasets-from-web

Patent

System and Method for Fusing Geospatial Data, Chen, C.-C., Knoblock, C. A., Shahabi, C., and Chiang, Y.-Y. US Patent No. 7660441.

PEOPLE & BOB

Bob

The Dog

Yao-Yi Chiang

Associate Professor (Research), USC Spatial Sciences Institute

Note: I will teach the USC data mining class (INF-553) in 2021 Spring.

Weiwei Duan

Ph.D. Student, USC Computer Science

Yijun Lin

Ph.D. Student, USC Computer Science

Junbao

The cat

Dan Feldman

Ph.D. Student, USC Computer Science

Hayley Song

Ph.D. Student, USC Computer Science

Zekun Li

Ph.D. Student, USC Computer Science

Johanna Avelar Portillo

Ph.D. Student, USC Population, Health and Place Graduate Program (Spatial Sciences Institute)

Lois Park

Ph.D. Student, USC Population, Health and Place Graduate Program

Student Workers

Che Pai Kung

Graduate Student, USC Applied Data Science

Runyu Guan

Graduate Student, USC Computer Science

Qianmu Yu

Graduate Student, USC Electrical Engineering

Haipeng Yu

Graduate Student

Yiren Liu

Graduate Student

Sayee Kulkarni

Graduate Student, USC Computer Science

Hao Chen

Graduate Student

Diego Frankel

Undergraduate Student

Affiliate USC faculty

Craig Knoblock

Director of Information Integration, USC Information Sciences Institute
Research Professor, USC Computer Science

Alumni

2020

Myunghee Lee

Graduate Student, USC Applied Data Science

Shiuan-Chin Huang

Graduate Student, USC Computer Science

Xiaozhe Yin

Ph.D. Student, USC Population, Health, and Place Graduate Program

Khaoula KARROUM

Ph.D. student, Laboratoire de Recherche en Informatique et Télécommunications. LRIT, Associated Unit to CNRST (URAC No 29)- Faculty of sciences, Mohamed V University in Rabat, B.P.1014 RP, Rabat, Morocco.

2019

Libo Liu

Graduate Student, USC Computer Science

Pallavi Taneja

Graduate Student, USC Computer Science

Haowen Lin

Undergraduate Student, USC Computer Science

Yuanbin Cheng

Graduate Student, USC Computer Science

Adam Vaccaro

Graduate Student, USC Spatial Data Science

Jeffrey Jow

Graduate Student, USC Data Informatics

Tong Lyu

Graduate Student, USC Data Informatics

Jianfa Lin

System Administrator

Liujie Wang

Graduate Student, USC Data Informatics

Weifeng Yan

Visiting Research Assistant, Mathematics, Shanghai Jiao Tong University

Yanyi Qian

Visiting Student, Information Management and Information System, Peking University

Xin Yu

Graduate Student, USC Spatial Informatics

Sandeep Banisetti

Graduate Student, USC Computer Science

Lakshya Kejriwal

Graduate Student, USC Data Informatics

Sudan Zhang

Graduate Student, USC Data Informatics

Nikhit Mago

Graduate Student, USC Data Informatics

Shayna Lascala

Human Services with an emphasis in Mental Health, minors in sociology and health science

Jose Rico

Undergraduate Student, USC GeoDesign

Yiqi Huang

Graduate Student, USC Data Informatics

Lu Zhang

Graduate Student, USC Data Informatics

2017

Mengyue Huan

Graduate Student, USC Spatial Informatics

Ishan Alok

Graduate Student, USC Computer Science

Ying Zhang

Associate Professor, North China Electric Power University, School of Control and Computing Engineering

Xiaoyue (Vivien) Yang

Visiting Research Programmer

Pan Fan

Graduate Student, USC Data Informatics

Zhiyuan Wang

Graduate Student, USC Computer Science

Bhaskar Bandyopadhyay

Graduate Student, USC Computer Science

Abhishek Jain

Graduate Student, USC Computer Science

Joanna Haoshi Wang

Undergraduate Student, USC GeoDesign

2016

Deepika Anand

Graduate Student, USC Computer Science

Manikanta Kotthapalli

Graduate Student, USC Computer Science

Sumedha Kucherlapati

Graduate Student, USC Data Informatics

Hariprabha Mallyah

Graduate Student, USC Computer Science

Nandan Nayak

Graduate Student, USC Spatial Informatics

Jakapun Tachaiya

Graduate Student, USC Data Informatics

Ronald Yu

Undergraduate Student, USC Computer Science

Yuanchang Zhang

Graduate Student, USC Spatial Informatics

Vijayan Balasubramanian

Graduate Student, USC Data Informatics

Yuan Gao

Associate Professor, Department of Information and Management, Northwest University, China

Narges Honarvar Nazari

Graduate Student, USC Computer Science

Saarthak Khanna

Graduate Student, USC Data Informatics

Zexuan Luo

Graduate Student, USC Computer Science

Sanjay Singh

Graduate Student, USC Computer Science

Tian Xiang Tan

Graduate Student, USC Computer Science

Jianhua Wu

Visiting Scholar, USC Spatial Sciences Institute

2015

Robin Franke

Undergraduate Student, USC GeoDesign

Alex Chen

Undergraduate Student, USC GeoDesign

Leonard Ngo

Undergraduate Student, USC GeoDesign

Kuangyu Xiong

Undergraduate Student, USC Architecture

Yi Hou

Undergraduate Student, USC GeoDesign

Rashmina Ramachandran Menon

Graduate Student, USC Computer Science

Zebao Zhang

Visiting Scholar, USC Spatial Sciences Institute

Nilesh Gupta

Graduate Student, USC Electrical Engineering

Yamini Goyal

Graduate Student, USC Computer Science

Andrew Hsu

Palos Verdes Peninsula High School

Wilson Franca De Souza

Undergraduate Student, Humboldt State University, Environmental Resources Engineering

Yang Meng

Graduate Student, USC Data Science

Woojin Park

Visiting Scholar, USC Spatial Sciences Institute

Sima Moghaddam

Graduate Student, USC Computer Science

Haohan Yang

Graduate Student, USC Computer Science

2014

Akshay Anand

Esri (Previously Graduate Student, USC Computer Science)

Ramtin Boustani

Graduate Student, USC Computer Science

Renuka Fernandes

Undergraduate Student, USC Electrical Engineering

Sanjauli Gupta

Yahoo (Previously Graduate Student, USC Computer Science)

Jizhe Zhou

Undergraduate Student, Electronics and Information Engineering, Beihang University (Beijing, China)

2013

Ketan Akade

Yahoo (Previously Graduate Student, USC Computer Science)

Cathy Ji

Undergraduate Student, USC Computer Engineering

Phokgoân Chio̍h

Parin Jogani

Ebay (Previously Graduate Student, USC Computer Science)

Shrikanth Narayanan

Graduate Student, USC Data Science

Ashish Shirode

Intel (Previously Graduate Student, USC Computer Science)

JOIN US

Hacking the SPACE!

We are always looking for talented and motivated students and summer interns to work on exciting problems in spatial science, data science, and computer science.

Before you send us an email, please talk to at least one PhD student in the group. We are receiving many applications every semester, and we have limited positions. In your email, please include 1) your resume, 2) a short description of your research interests, 3) the PhD student whom you have talked to, and 4) the research projects that you'd like to participate.

Los Angeles Hackathon for Food Security from Blue Compass on Vimeo.

USC Graduate Students

Directed research students (Computer Science, Data Informatics, or GIST students): we ask you to put down at least 15 hours a week so that you will have enough time to finish a cool project.

USC Undergraduate Students

We love to work with undergraduate students. Join us and gain experience in research and build some awesome applications!

Visitors and Students from Other Schools (including international scholars and students)

We welcome visitors and students from other schools. We had great experiences with international summer interns in the past. Come work with us in Los Angeles and enjoy the nice weather!

Prospective PhD Students

We take PhD students from both the USC Ph.D. programs in Computer Science and in Population, Health, and Place. If you want to work with our faculty members for your Ph.D. study, you are welcome to send us an email describing your research interest before you apply. This way we will be able to find your application after the admission committee has reviewed your profile. However, in most of the cases, we will not be able to tell you your chance of getting into the program.

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