Yan Huang

Previous Scheduled Teaching

Published Intellectual Contributions

Book Chapter

• Ahmadi, M., Huang, Y., John, K. (2017). Application of spatio-temporal clustering for predicting ground-level ozone pollution. Advances in Geocomputation. 153--167. Springer, Cham.
• Ahmadi, M., Huang, Y., John, K. (2017). Application of spatio-temporal clustering for predicting ground-level ozone pollution. Advances in Geocomputation. 153--167. Springer, Cham.
• Huang, Y., Griffin, T., Lompo, S. (2009). Intelligent system for locating, labeling, and logging (isl 3). Opportunities and Challenges for Next-Generation Applied Intelligence. 167--173. Springer, Berlin, Heidelberg.
• Shekhar, S., Zhang, P., Huang, Y., Vatsavai, R. (2004). Trends in Spatial Data Mining. "Data Mining: Next Generation Challenges and Future Directions", H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (editors). AAAI/MIT Press.
• Shekhar, S., Huang, Y., Wu, W., Lu, C.T., Chawla, S. (2001). What's Spatial about Spatial Data Mining: Three Case Studies. Data Mining for Scientific and Engineering Applications. R. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, R. Namburu (eds.). Kluwer Academic Publishers.

Conference Proceeding

• Gu, X., Fan, H., Huang, Y., Luo, T., Zhang, L. (2024). Context-Guided Spatio-Temporal Video Grounding. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
• Yadav, S., Le, T., Dong, S., Fan, H., Yang, Q., Qiu, C., Li, X., Huang, Y. A New Simulation Platform For Learning-Empowered Distributed Sensing. SPIE Defense + Commercial Sensing 2024.
• Feng, Y., Meng, Z., Clemmer, C., Fan, H., Huang, Y. (2023). A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing. ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL).
• Ghanbarzadeh, S., Palangi, H., Huang, Y., Moreno, R.C., Khanpour, H. (2023). Improving the Reusability of Pre-trained Language Models in Real-world Applications. IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI). 40--45.
• Liu, X., Liu, X., Yi, Z., Zhou, X., Le, T., Zhang, L., Huang, Y., Yang, Q., Fan, H. (2023). PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking. International Conference on Computer Vision (ICCV).
• Xiao, Z., Huang, Y., Blanco, E. (2023). Context Helps Determine Spatial Knowledge from Tweets. Proceedings of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL). 149--160.
• Locke, W., Lokhmachev, N., Huang, Y., Li, X. (2023). Radio map estimation with deep dual path autoencoders and skip connection learning. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
• Ghanbarzadeh, S., Huang, Y., Palangi, H., Cruz Moreno, R., Khanpour, H. (2023). Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models. Findings of the Association for Computational Linguistics (ACL). 5448--5458.
• Myznikov, P., Huang, Y. (2020). A New Method for Hierarchical Image Segmentation from Visual Designs. 2020 54th Annual Conference on Information Sciences and Systems (CISS). 1--6.
• Xie, D., Zhong, X., Yang, Q., Huang, Y. (2019). Comprehensive cooperative deep deterministic policy gradients for multi-agent systems in unstable environment. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. 11006 110060K.
• Zhou, Y., Huang, Y. (2019). Place Representation Based Bike Demand Prediction. IEEE International Conference on Big Data (Big Data). 1577-1586.
• Shen, B., Cao, B., Zhao, Y., Zuo, H., Zheng, W., Huang, Y. (2019). Roo: Route Planning Algorithm for Ride Sharing Systems on Large-Scale Road Networks. 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). 1--8.
• Zhou, Y., Huang, Y., McGlynn, J., Han, A. (2019). Trust Inference for Rideshare Through Co-Training on Social Media Data. IEEE International Conference on Big Data (Big Data). 2532-2541.
• Magdy, A., Zhou, X., Huang, Y. (2018). 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017): Redondo Beach, California, USA-November 7, 2017. SIGSPATIAL Special. 9 (3) 28--29. ACM.
• Zhou, Y., Huang, Y. (2018). Context Aware Flow Prediction of Bike Sharing Systems. IEEE BigData.
• Zhou, Y., Huang, Y. (2018). DeepMove: Learning Place Representations through Large Scale Movement Data. IEEE BigData.
• Pang, J., Tian, C., Huang, Y., Buckles, B., Mirzaei, A. (2017). Atvis: A New Transit Visualization System. Advances in Geocomputation. 85–96. Springer, Cham.
• Nguyen, P., Huang, Y., Trampier, J.R. (2017). Leveraging Spatial Community Information in Location Recognition in Tweets. Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News. 4.
• Zhou, Y., Huang, Y., McGlynn, J., Han, A. (2017). Who Will You Share a Ride With: Factors that Influence Trust of Potential Rideshare Partners. Other.
• Liu, Z., Huang, Y. (2016). Closeness and structure of friends help to estimate user locations. International Conference on Database Systems for Advanced Applications. 33–48.
• Liu, Z., Huang, Y., Trampier, J.R. (2016). LEDS: local event discovery and summarization from tweets. Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 53.
• Liu, Z., Huang, Y., Trampier, J.R. (2016). Spatiotemporal topic association detection on tweets. Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 28-38.
• Liu, Z., Huang, Y. (2016). Where are You Tweeting?: A Context and User Movement Based Approach. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 1949–1952.
• Huang, Y., Liu, Z., Nguyen, P. (2015). Location-based event search in social texts. Computing, Networking and Communications (ICNC), 2015 International Conference on. 668–672.
• Cheng, G., Wan, Y., Buckles, B., Huang, Y. (2014). An introduction to Markov logic networks and application in video activity analysis. Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on. 1–7.
• Liu, Z., Huang, Y. (2014). Community detection from location-tagged networks. Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 525–528.
• Cheng, G., Huang, Y., Mirzaei, A., Buckles, B., Yang, H. (2014). Video-based automatic transit vehicle ingress/egress counting using trajectory clustering. Intelligent Vehicles Symposium Proceedings, 2014 IEEE. 827–832.
• Sun, P., Huang, Y., Zhang, C. (2013). Cluster-by: An efficient clustering operator in emergency management database systems. International Conference on Web-Age Information Management. 152–164.
• Sun, W., Chen, C., Zheng, B., Chen, C., Zhu, L., Liu, W., Huang, Y. (2013). Merged aggregate nearest neighbor query processing in road networks. Proceedings of the 22nd ACM international conference on Information & Knowledge Management. 2243–2248.
• Liu, Z., Huang, Y. (2013). Mining co-locations under uncertainty. International Symposium on Spatial and Temporal Databases. 429–446.
• Tian, C., Huang, Y., Liu, Z., Bastani, F., Jin, R. (2013). Noah: a dynamic ridesharing system. Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. 985–988.
• Wang, S., Huang, Y., Wang, X.S. (2013). Regional co-locations of arbitrary shapes. International Symposium on Spatial and Temporal Databases. 19–37.
• Jiang, K., Zhu, K.Q., Huang, Y., Ma, X. (2013). Watermarking road maps against crop and merge attacks. Proceedings of the first ACM workshop on Information hiding and multimedia security. 221–230.
• Chen, K., Sun, W., Tu, C., Chen, C., Huang, Y. (2012). Aggregate keyword routing in spatial database. Proceedings of the 20th International Conference on Advances in Geographic Information Systems. 430--433.
• Liu, W., Sun, W., Chen, C., Huang, Y., Jing, Y., Chen, K. (2012). Circle of friend query in geo-social networks. International Conference on Database Systems for Advanced Applications. 126--137.
• Huang, Y., Powell, J. (2012). Detecting regions of disequilibrium in taxi services under uncertainty. Proceedings of the 20th International Conference on Advances in Geographic Information Systems. 139--148.
• Song, R., Lu, W., Sun, W., Huang, Y., Chen, C. (2012). Quick map matching using multi-core cpus. Proceedings of the 20th International Conference on Advances in Geographic Information Systems. 605--608.
• Wang, S., Wang, X.S., Huang, Y. (2012). Tracking the dynamic distribution of people in indoor space with noisy partitioning sensors. Mobile Data Management (MDM), 2012 IEEE 13th International Conference on. 202--211.
• Chen, S., Huang, Y., Namuduri, K. (2011). A factor graph based dynamic spectrum allocation approach for cognitive network. Wireless communications and networking conference (WCNC), 2011 IEEE. 850--855.
• Bastani, F., Huang, Y., Xie, X., Powell, J. (2011). A greener transportation mode: flexible routes discovery from GPS trajectory data. Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 405--408.
• Ruan, N., Jin, R., Huang, Y. (2011). Distance preserving graph simplification. Data Mining (ICDM), 2011 IEEE 11th International Conference on. 1200--1205.
• Liu, J., Tian, Q., Huang, Y., Du, L., Wang, L. (2011). Extraction of the corn planting area based on multi-temporal HJ-1 satellite data. Geoinformatics, 2011 19th International Conference on. 1--4.
• Huang, Y., Chen, C. (2011). Privacy leakage in two-party group nearest neighbor queries. Dependable Systems and Networks Workshops (DSN-W), 2011 IEEE/IFIP 41st International Conference on. 297--300.
• Griffin, T., Huang, Y., Seals, S. (2011). Routing-based map matching for extracting routes from GPS trajectories. proceedings of the 2nd International Conference on Computing for Geospatial Research \& Applications. 24.
• Shen, C., Huang, Y., Powell, J. (2011). The design of a benchmark for geo-stream management systems. Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 409--412.
• Powell, J., Huang, Y., Bastani, F., Ji, M. (2011). Towards reducing taxicab cruising time using spatio-temporal profitability maps. International Symposium on Spatial and Temporal Databases. 242--260.
• Zhang, C., Huang, Y. (2010). Low Cost Region Detection from Distributed Sensor Observations. Proc. of 11th International Conference on Mobile Data Management.
• Vishwanathan, R., Huang, Y. (2010). Privacy Preserving Group Nearest Neighbour Queries in Location-based Services using Cryptographic Techniques. Proc. of IEEE Global Communications Conference. 1-5.
• Zhang, C., Huang, Y. (2010). Quering Streaming Point Clusters as Regions. Proc. of 1st International Workshop on GeoStreaming.
• Zhang, C., Huang, Y. (2010). Querying streaming point clusters as regions. Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming. 43--50.
• Zhang, C., Huang, Y., Mihalcea, R., Cuellar, H. (2009). A Natural Language Interface for Crime-related Spatial Queries. Proc. of IEEE Intelligence and Security Informatics (ISI). 164-166.
• Vishwanathan, R., Huang, Y. (2009). A Two-level Protocol to Answer Private Location-based Queries. Proc. of IEEE Intelligence and Security Informatics (ISI). 149-154.
• Zhang, C., Huang, Y., Griffin, T. (2009). Demo Paper: Querying Geospatial Data Streams in SECONDO.
• Zhang, C., Huang, Y. (2009). Demo Paper: Querying Geospatial Stream in SECONDO. Proc. of The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS ). 544-545.
• Harrington, B., Huang, Y., Yang, J., Li, X. (2009). Energy Efficient Map Interpolation for Sensor Fields Using Kriging. 8 (5) 622-635. IEEE Transaction on Mobile Computing.
• Huang, Y., Griffin, T., Lompo, S. (2009). Intelligent System for Locating, Labeling, and Logging (ISL3). Proc. of Twenty Second International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA-AIE. 167-173.
• Huang, Y., Zhang, C. (2009). Interval-Based Nearest Neighbor Queries Over Sliding Windows from Trajectory Data. Proc. of The 10th International Conference on Mobile Data Management (MDM). 212-221.
• Lou, Y., Zhang, C., Zheng, Y., Xie, X., Wang, W., Huang, Y. (2009). Map-Matching for Low-Sampling-Rate GPS Trajectories. Proc. of The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS). 352-361.
• Zhang, C., Huang, Y., Griffin, T. (2009). Querying geospatial data streams in SECONDO. Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 544--545.
• Chen, S., Huang, Y. (2009). Recognizing Human Activities from Multi-Modal Sensors. Proc. of IEEE Intelligence and Security Informatics (ISI). 220-222.
• Yang, J., Zhang, C., Li, X., Huang, Y., Fu, S., Acevedo, M. (2008). An Environmental Monitoring System with Integrated Wired and Wireless Sensors. Proc. of International Conference on Wireless Algorithms, Systems and Applications. 224-236.
• Telang, A., Chakravarthy, S., Huang, Y. (2008). Information Integration Across Heterogeneous Sources: Where Do We Stand and How to Proceed?. Proc. of 14th International Conference on Management of Data. 186-197.
• Huang, Y., Chen, C., Dong, P. (2008). Modeling Herds and Their Evolvements from Trajectory Data. Proc. of 5th International Conference on Geographic Information Science (GI Science).
• Huang, Y., Zhang, C. (2008). New Data Types and Operations to Support Geo-streams. Proc. of 5th International Conference on Geographic Information Science (GI Science). 106-118.
• Chen, S., Huang, Y., Zhang, C. (2008). Toward a real and remote wireless sensor network testbed. International Conference on Wireless Algorithms, Systems, and Applications. 385--396.
• Chen, S., Huang, Y., Zhang, C. (2008). Towards A Real and Remote Wireless Sensor Network Testbed. Proc. of International Conference on Wireless Algorithms, Systems and Applications. 385-396.
• Li, X., Huang, Y. (2007). A language and a visual interface to specify complex spatial patterns. Pacific-Asia Conference on Knowledge Discovery and Data Mining. 656--663.
• Zhang, C., Huang, Y. (2007). A Two Round Reporting Approach to Energy Efficient Interpolation of Sensor Fields. Proc. of 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). 656-663.
• Zhang, C., Huang, Y. (2007). A Two Round Reporting Approach to Energy Efficient Interpolation of Sensor Fields. Proc. of 10th International Symposium on Spatial and Temporal Databases (SSTD). 130-147.
• Zhang, C., Huang, Y. (2007). Cluster By: A New SQL Extension for Spatial Data Aggregation. Proc. of 15th ACM International Symposium on Advances in Geographic Information Systems. 53-56.
• Huang, Y., Zhang, L., Zhang, P. (2006). Finding Sequential Patterns from a Massive Number of Spatio-Temporal Events. Proc. of SIAM International Conference on Data Mining (SDM). 633-637.
• Huang, Y., Zhang, L., Zhang, P. (2006). Finding sequential patterns from massive number of spatio-temporal events. Proceedings of the 2006 SIAM International Conference on Data Mining. 634--638.
• Huang, Y., Pei, J., Xiong, H. (2006). On The Relationships Between Clustering and Spatial Co-location Pattern Mining. Proc. of IEEE International Conference on Tools with Artificial Intelligence (ICTAI). 513-522.
• Griffin, T., Huang, Y. (2005). A decision tree classification model to automate trip purpose derivation. The Proceedings of the ISCA 18th International Conference on Computer Applications in Industry and Engineering. 44--49.
• Huang, Y., Zhang, L., Yu, P. (2005). Can We Apply Projection Based Frequent Pattern Mining Paradigm to Spatial Co-location Mining?. Proc. of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). 719-725.
• Harrington , B., Huang, Y. (2005). In-network Surface Simplification for Sensor Fields. Proc. of The 13th ACM Intl. Symp. on Advances in Geographic Information Systems (ACM-GIS). 41-50.
• Huang, Y., Harrington, B., Dsouza, N., Brazile, R.P. (2005). Material science image content querying: a SQL integrated map algebra approach. Proceedings of the 17th international conference on Scientific and statistical database management. 283–292.
• Huang, Y., Harrington, B., Dsouza, N., Brazile, R. (2005). Querying the Content of Images in Material Science: An Integration of SQL and Map Algebra. 17th Internatial Conference on Scientific and Statistical Data Management (SSDBM). 283-292.
• Xiong, H., Shekhar, S., Huang, Y., Kumar, V., Ma, X., Yoo, J. (2004). A Framework for Discovering Co-location Patterns in Data Sets with Extended Spatial Objects. Proc. of SIAM International Conference on Data Mining (SDM). 121-132.
• Zhang, P., Huang, Y., Shekhar, S., Kumar, V. (2003). Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach. Proc. of the 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). 563-575.
• Lu, Q., Huang, Y., Shekhar, S. (2003). Evacuation Planning: A Capacity Constrained Routing Approach. Proc. of the First NSF/NIJ Symposium on Intelligence and Security Informatics (ISI 2003). 291-307.
• Zhang, P., Huang, Y., Shekhar, S., Kumar, V. (2003). Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries. Proc. of the 8th Intl. Symp. on Spatial and Temporal Databases (SSTD). 449-468.
• Huang, Y., Xiong, H., Shekhar, S., Pei, J. (2003). Mining Confident Co-location Rules without A Support Threshold. Proc. of the 18th ACM Symposium on Applied Computing (ACM SAC). 497-501.
• Shekhar, S., Zhang, P., Vatsavai, R.R., Huang, Y. (2003). Research accomplishments and issues on spatial data mining. White paper of the Geospatial Visualization and Knowledge Discovery Workshop, Lansdowne, Virginia.
• Zhang, P., Shekhar, S., Huang, Y., Kumar, V. (2003). Spatial Cone Tree: An Index Structure for Correlation-based Similarity Queries on Spatial Time Series International Workshop on Next Generatio Geospatial Information.
• Zhang, P., Shekhar, S., Huang, Y., Kumar, V. (2003). Spatial cone tree: An index structure for correlation-based similarity queries on spatial time series data. the Proc. of the Int’l Workshop on Next Generation Geospatial Information.
• Shekhar, S., Huang, Y., Djugash, J. (2002). Dictionary Design Algorithms for Vector Map Compression. In Proc. of IEEE Data Compression Conference (DCC). 471.
• Shekhar, S., Huang, Y., Djugash, J., Zhou, C. (2002). Vector Map Compression: A Clustering Approach. Proc. of The 10th ACM Intl. Symp. on Advances in Geographic Information Systems (ACM-GIS). 74-80.
• Shekhar, S., Huang, Y. (2001). Discovering Spatial Co-location Patterns: a Summary of Results. Proc. of 7th Intl. Symp. on Spatial and Temporal Databases (SSTD). 236-256.
• Shekhar, S., Huang, Y. (2001). Discovery of spatial co-location patterns. International Symposium on Spatial and Temporal Databases.
• Shekhar, S., Huang, Y., Xiong, H. (2001). Performance evaluation of co-location miner. The IEEE International Conference on Data Mining (ICDM'01).

Editor

• Shekar, S., Agouris, P., Vatsavai, R.R., Huang, Y., Stefanidis, A., Bhaduri, B., Chandola, V. (2021). The 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: conference report.
• Zhang, H., Huang, Y., Thill, J., Guo, D., Liu, Y., Chen, B., Xu, W. (2021). The 5th ACM SIGSPATIAL International Workshop on Safety and Resilience: EM-GIS 2019 workshop report. SIGSPATIAL Special. 12 (3) 43--45. ACM New York, NY, USA.
• Lu, C., Wang, F., Trajcevski, G., Huang, Y., Newsam, S., Xiong, L. (2020). The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: conference report. SIGSPATIAL Special. 12 (3) 3--6. ACM New York, NY, USA.
• Magdy, A., Zhou, X., Zhao, L., Huang, Y. (2019). 2nd ACM SIGSPATIAL workshop on analytics for local events and news. SIGSPATIAL Special. 10 (3) 21--22. ACM.

Encyclopedia Article

• Huang, Y., Zhang, L. (2007). Spatiotemporal Sequential Patterns Encyclopedia of Geographical Information Science. 1049-1054. Springer.

Journal Article

• Zhang, M., Zhou, X., Li, L., Liu, Z., Trajcevski, G., Huang, Y., Zhou, X. (2023). A Universal Scheme for Partitioned Dynamic Shortest Path Index. Other.
• Zuo, H., Cao, B., Zhao, Y., Shen, B., Zheng, W., Huang, Y. (2021). High-capacity ride-sharing via shortest path clustering on large road networks. Other. 1--26. Springer US.
• McGlynn, J., Zhou, Y., Han, A., Huang, Y. (2019). Present, Endorsed, and Active: Instagram Cues that Predict Trust. Communication Research Reports. 36 (4) 338-348. Routledge.
• Zhang, H., Huang, Y., Thill, J., Guo, D., Liu, Y. (2018). Guest editorial: special issue on spatial computing in emergency management. GeoInformatica. 22 (2) 307--309. Springer US.
• Shen, B., Huang, Y., Zhao, Y. (2016). Dynamic ridesharing. SIGSPATIAL Special. 7 (3) 3–10. ACM.
• Zhang, H., Huang, Y., Thill, J. (2016). EM-GIS 2015 workshop report: the first ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management (Seattle, Washington, USA-November 3, 2015). SIGSPATIAL Special. 7 (3) 35–35. ACM.
• Huang, Y., Chen, X. (2016). IWCTS 2015 workshop report: the Eighth ACM SIGSPATIAL International Workshop on International Workshop on Computational Transportation Science Seattle, Washington, USA-November 3, 2015. SIGSPATIAL Special. 8 (1) 55--55. ACM.
• Cheng, G., Huang, Y., Wan, Y., Buckles, B. (2015). Exploring temporal structure of trajectory components for action recognition. International Journal of Intelligent Systems. 30 (2) 99–119.
• Ahmadi, M., Huang, Y., John, K. (2015). Predicting Hourly Ozone Pollution in Dallas-Fort Worth Area Using Spatio-Temporal Clustering.
• Ahmadi, M., Huang, Y., John, K. (2015). Predicting Hourly Ozone Pollution in Dallas-Fort Worth Area Using Spatio-Temporal Clustering.
• Wan, Y., Huang, Y., Buckles, B. (2014). Camera calibration and vehicle tracking: Highway traffic video analytics. Transportation Research Part C: Emerging Technologies. 44 202–213. Pergamon.
• Huang, Y., Bastani, F., Jin, R., Wang, X.S. (2014). Large scale real-time ridesharing with service guarantee on road networks. Proceedings of the VLDB Endowment. 7 (14) 2017–2028. VLDB Endowment.
• Kong, L., Liu, Z., Huang, Y. (2014). Spot: Locating social media users based on social network context. Proceedings of the VLDB Endowment. 7 (13) 1681–1684. VLDB Endowment.
• Zhu, Kai Jiang Kenny Q, Huang, Y., Ma, X. (2013). Watermarking Road Maps against Crop and Merge Attacks.
• Ma, X., Zhang, C., Shekhar, S., Huang, Y., Xiong, H. (2011). On multi-type reverse nearest neighbor search. Data & Knowledge Engineering. 70 (11) 955--983. North-Holland.
• Zhang, C. (2011). Toward a data-type-based real time geospatial data stream management system. University of North Texas.
• LI, L., SUN, T., LIU, Z., REN, D., Huang, Y., CHEN, X. (2010). Balance analgesic efficacy of oxycodone and acetaminophen tablets in management of trauma pain in emergency room [J]. Other. 23 014.
• Yang, J., Zhang, C., Li, X., Huang, Y., Fu, S., Acevedo, M.F. (2010). Integration of wireless sensor networks in environmental monitoring cyber infrastructure. Wireless Networks. 16 (4) 1091--1108. Springer US.
• Zhang, C., Huang, Y. (2009). Cloaking Locations for Anonymous Location Based Services: A hybrid Approach. 13 (2) 159-182.
• Harrington, B., Huang, Y., Yang, J., Li, X. (2009). Energy efficient map interpolation for sensor fields using Kriging. IEEE Transactions on Mobile Computing.
• Huang, Y., Zhang, L., Zhang, P. (2008). A framework for mining sequential patterns from spatio-temporal event data sets. Transactions on Knowledge and Data Engineering. 20 (4) 433--448. IEEE.
• Huang, Y., Zhang, L., Zhang, P. (2008). A Framework for Mining Sequential Patterns from Spatio-Temporal Event Datasets. Transactions on Knowledge and Data Engineering. 20 (4) 433-448.
• Huang, Y., Zhang, P., Zhang, C. (2008). On the relationships between clustering and spatial co-location pattern mining. International Journal on Artificial Intelligence Tools. 17 (01) 55--70. World Scientific Publishing Company.
• Huang, Y., Pei, J., Xiong, H. (2006). Co-location Mining with Rare Spatial Features Journal of GeoInformatica. 10 (3) 239-260.
• Huang, Y., Pei, J., Xiong, H. (2006). Mining co-location patterns with rare events from spatial data sets. GeoInformatica. 10 (3) 239--260. Kluwer Academic Publishers.
• Huang, Y., Shekhar, S., Xiong, H. (2004). Discovering Co-location Patterns from Spatial Datasets: A General Approach. Transactions on Knowledge and Data Engineering. 16 (12) 1472-1485.
• Huang, Y., Shekhar, S., Xiong, H. (2004). Discovering colocation patterns from spatial data sets: a general approach. Transactions on Knowledge and Data Engineering. 16 (12) 1472--1485. IEEE.
• Shekhar, S., Zhang, P., Huang, Y., Vatsavai, R.R. (2003). Spatial data mining.
• Xu, B., Yu, W., Chen, T., Huang, Y. (2003). Three-dimensional technology for apparel mass customization: Part II: Human body modeling from unorganized range data. Other. 94 (1-2) 81--91. Taylor \& Francis Group.
• Shekhar, S., Zhang, P., Huang, Y., Vatsavai, R.R. (2003). What’s Special about Spatial Data Mining?.
• Xu, B., Huang, Y., Yu, W., Chen, T. (2002). Body scanning and modeling for custom fit garments. Other. 2 (2) 1--11.
• Shekhar, S., Huang, Y., Han, J., Chawla, S., Gopal, S. (2000). Categorization of spatial data mining techniques. Other.

Other

• Yan, Z., Giatrakos, N., Katsikaros, V. (2011). Advances in spatial and temporal databases. Springer, Berlin.
• Shekhar, S., Zhang, P., Huang, Y., Vatsavai, R. (2003). Trends in Spatial Data Mining. As a chapter in Data Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha. MIT Press.

Ph.D. Thesis

• Huang, Y. (2014). Accessibility and non-work destination choice: A microscopic analysis of GPS travel data. UNIVERSITY OF MINNESOTA.
• Griffin, T.W. (2012). GPS CaPPture: A system for GPS trajectory collection, processing, and destination prediction. University of North Texas.
• Vishwanathan, R. (2011). Exploring privacy in location-based services using cryptographic protocols. University of North Texas.

Popular Press Article

• Huang, Y., Zhang, P., Zhang, C. (2008). On The Relationships Between Clustering and Spatial Co-location Pattern Mining International. 17 (1) 513-522. Journal on Artificial Intelligence Tools (IJAIT).

Technical Report

• Huang, Y., Buckles, B. (2012). Low cost wireless network camera sensors for traffic monitoring.

Contracts, Grants and Sponsored Research

Grant - Research

• Huang, Y. (Principal), Li, X. (Co-Principal), Yang, Q. (Co-Principal), Fan, H. (Co-Principal), Qiu, C. (Co-Principal), Wei, Y. (Co-Principal), Baba, A.I. (Supporting), "Intelligent Distributed Sensing," sponsored by Army Research Lab/Northeastern University, Federal, $902266 Funded. (2024 - 2025).
• Li, X. (Principal), Luyen, H.T. (Co-Principal), Huang, Y. (Co-Principal), Derryberry, R.T. (Supporting), "Novel Beamforming and Directional Communication Development," sponsored by Army Research Lab/Northeastern University, Federal, $397734 Funded. (2024 - 2025).
• Li, X. (Principal), Luyen, H.T. (Co-Principal), Huang, Y. (Co-Principal), Derryberry, R.T. (Supporting), "Empowering Directional Communications with Hybrid Beamforming and Deep Learning," sponsored by Army Research Lab/Northeastern University, Federal, $1694437 Funded. (2023 - 2024).
• Huang, Y. (Principal), Li, X. (Co-Principal), Yang, Q. (Co-Principal), Fan, H. (Co-Principal), Qiu, C. (Co-Principal), Wei, Y. (Co-Principal), Baba, A.I. (Supporting), "Learning Empowered Distributed Sensing," sponsored by Army Research Lab/Northeastern University, Federal, $2069324 Funded. (2023 - 2024).
• Huang, Y. (Principal), Yang, Q. (Co-Principal), "Export Controlled at Award - Title Removed second phase," sponsored by KRI at Northeastern, Office of Naval Research, Federal, $200000 Funded. (2020 - 2021).
• Huang, Y. (Principal), Yang, Q. (Co-Principal), Zhong, X. (Co-Principal), "Export Controlled at Award - Title removed," sponsored by KRI at Northeastern, Office of Naval Research, Federal, $300000 Funded. (2018 - 2020).
• Geol, A. (Principal), Huang, Y. (Supporting), "BD Spokes: SPOKE: SOUTH: Collaborative: Using Big Data for Environmental Sustainability: Big Data + AI Technology = Accessible, Usable, Useful Knowledge!," sponsored by National Science Foundation, Federal, $1000000 Funded. (2016 - 2019).
• Huang, Y. (Principal), "Geotagging Social Media for Enhanced Location-based Search," sponsored by Department of Defense, Federal, $450000 Funded. (2013 - 2017).
• Huang, Y. (Principal), "U.S.-Based Student Support to Attend ACM SIGSPATIAL 2014," sponsored by National Science Foundation, Federal, Funded. (2014 - 2015).
• Yang, Q. (Co-Principal), Huang, Y. (Principal), "Advancing Warfighter Technologies In The Area of Expeditionary Cyber: ACRN002, Trust through Machine Learning in Expeditionary Cyber Systems," sponsored by George J. Kostas Research Institute, IND, Funded. (2018 - 2021).
• Huang, Y. (Principal), Yang, Q. (Co-Principal), Zhong, X. (Co-Principal), "Export Controlled at Award - Title removed," sponsored by KRI at Northeastern, Office of Naval Research, Federal, Funded. (2018 - 2020).
• Huang, Y. (Principal), "Geotagging Social Media for Enhanced Location-Based Search," sponsored by National Geospatial-Intelligence Agency, FED, Funded. (2013 - 2017).

Grant - Service

• Huang, Y. (Principal), "TX DOT Research Technical Assistance Panels in Support of the TX DOT Research Program," sponsored by Texas Department of Transporation (TXDoT), State, $1500 Funded. (2004 - 2010).

Sponsored Research

• Huang, Y. (Principal), "Evaluation of Existing Smartphone Applications and Data Needs for Travel Surveys," sponsored by Texas Department of Transportation, State, $164230 Funded. (2012 - 2014).
• Huang, Y. (Principal), "III: Small: AegisDB: Integrated Real-Time Geo-Stream Processing and Monitoring System: A Data-Type-Based Approach," sponsored by National Science Foundation, Federal, $450562 Funded. (2010 - 2014).
• Huang, Y. (Other), "RET Site: Research Experiences for Teachers in Sensor Networks," sponsored by NSF, Federal, $500000 Funded. (2011 - 2014).
• Huang, Y. (Principal), "REU Supplement for III: Small: AegisDB: Integrated Real-Time Geo-Stream Processing and Monitoring System: A Data-Type-Based Approach," sponsored by NSF, Federal, $15265 Funded. (2010 - 2013).