Faculty Profile

Yan Huang

Title
Professor
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, University of Minnesota, 2003.
Major: Computer and Information Sciences
Dissertation Title: Mining Co-location Patterns from Large Spatial Datasets
BS, Beijing University, 1997.
Major: Computer Science

Current Scheduled Teaching*

CSCE 5218.002, Deep Learning, Spring 2024
CSCE 6950.947, Doctoral Dissertation, Spring 2024
CSCE 6940.947, Individual Research, Spring 2024
CSCE 5950.847, Master's Thesis, Spring 2024

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

CSCE 6933.001, Advanced Topics in Computer Science and Engineering, Fall 2023 SPOT
CSCE 6950.847, Doctoral Dissertation, Fall 2023
CSCE 6940.847, Individual Research, Fall 2023
CSCE 5950.847, Master's Thesis, Fall 2023
CSCE 5950.847, Master's Thesis, Summer 10W 2023
CSCE 5218.002, Deep Learning, Spring 2023 SPOT
CSCE 6950.747, Doctoral Dissertation, Spring 2023
CSCE 5950.847, Master's Thesis, Spring 2023
CSCE 5900.847, Special Problems, Spring 2023
CSCE 6950.847, Doctoral Dissertation, Fall 2022
CSCE 5950.847, Master's Thesis, Fall 2022
CSCE 5218.002, Deep Learning, Spring 2022 SPOT
CSCE 6950.747, Doctoral Dissertation, Spring 2022
CSCE 6950.747, Doctoral Dissertation, Fall 2021
CSCE 6940.747, Individual Research, Fall 2021
CSCE 6950.747, Doctoral Dissertation, Spring 2021
CSCE 6950.747, Doctoral Dissertation, Fall 2020
CSCE 6950.747, Doctoral Dissertation, Spring 2020
CSCE 6940.747, Individual Research, Spring 2020
CSCE 6950.747, Doctoral Dissertation, Fall 2019
CSCE 6950.747, Doctoral Dissertation, Spring 2019
CSCE 6940.747, Individual Research, Spring 2019
CSCE 5950.747, Master's Thesis, Spring 2019
CSCE 6950.747, Doctoral Dissertation, Fall 2018
CSCE 5950.747, Master's Thesis, Fall 2018
CSCE 5950.747, Master's Thesis, Summer 10W 2018
CSCE 2900.747, Special Problems in Computer Science and Engineering, Summer 10W 2018
CSCE 5380.001, Data Mining, Spring 2018 SPOT
CSCE 6950.747, Doctoral Dissertation, Spring 2018
CSCE 5950.747, Master's Thesis, Spring 2018
CSCE 5380.001, Data Mining, Fall 2017 SPOT
CSCE 6950.747, Doctoral Dissertation, Fall 2017
CSCE 5950.747, Master's Thesis, Fall 2017
CSCE 6950.747, Doctoral Dissertation, Summer 10W 2017
CSCE 5950.747, Master's Thesis, Summer 10W 2017
CSCE 5380.001, Data Mining, Spring 2017 SPOT
CSCE 6950.747, Doctoral Dissertation, Spring 2017
CSCE 5950.747, Master's Thesis, Spring 2017
CSCE 6950.747, Doctoral Dissertation, Fall 2016
CSCE 6940.747, Individual Research, Fall 2016
CSCE 5950.747, Master's Thesis, Fall 2016
CSCE 6900.747, Special Problems, Fall 2016
CSCE 6950.747, Doctoral Dissertation, Summer 10W 2016
CSCE 6940.747, Individual Research, Summer 10W 2016
CSCE 5950.747, Master's Thesis, Summer 10W 2016
CSCE 4890.747, Directed Study, Spring 2016
CSCE 5934.747, Directed Study, Spring 2016
CSCE 6950.747, Doctoral Dissertation, Spring 2016
CSCE 6940.747, Individual Research, Spring 2016
CSCE 5950.747, Master's Thesis, Spring 2016
CSCE 4890.747, Directed Study, Fall 2015
CSCE 6950.747, Doctoral Dissertation, Fall 2015
CSCE 6940.747, Individual Research, Fall 2015
CSCE 5934.747, Directed Study, Summer 10W 2015
CSCE 6950.747, Doctoral Dissertation, Spring 2015
CSCE 6940.747, Individual Research, Spring 2015
CSCE 5380.001, Data Mining, Fall 2014
CSCE 6950.747, Doctoral Dissertation, Fall 2014
CSCE 6940.747, Individual Research, Fall 2014
CSCE 4350.001, Introduction to Database Systems Design, Fall 2014 Syllabus
CSCE 5950.747, Master's Thesis, Fall 2014
CSCE 6350.001, Advanced Topics in Database Design, Spring 2014
CSCE 5934.747, Directed Study, Spring 2014
CSCE 6950.747, Doctoral Dissertation, Spring 2014
CSCE 6940.747, Individual Research, Spring 2014
CSCE 5950.747, Master's Thesis, Spring 2014
CSCE 5380.001, Data Mining, Fall 2013
CSCE 5350.001, Database Systems I, Fall 2013
CSCE 5934.747, Directed Study, Fall 2013
CSCE 6950.747, Doctoral Dissertation, Fall 2013
CSCE 6940.747, Individual Research, Fall 2013
CSCE 5950.747, Master's Thesis, Fall 2013
CSCE 6350.001, Advanced Topics in Database Design, Spring 2013
CSCE 6950.747, Doctoral Dissertation, Spring 2013
CSCE 5380.001, Data Mining, Fall 2012
CSCE 5934.747, Directed Study, Fall 2012
CSCE 6950.747, Doctoral Dissertation, Fall 2012
CSCE 6940.747, Individual Research, Fall 2012
CSCE 4350.001, Introduction to Database Systems Design, Fall 2012 Syllabus
CSCE 6940.747, Individual Research, Summer 10W 2012
CSCE 5950.747, Master's Thesis, Summer 10W 2012
CSCE 6350.001, Advanced Topics in Database Design, Spring 2012
CSCE 6950.747, Doctoral Dissertation, Spring 2012
CSCE 6940.747, Individual Research, Spring 2012
CSCE 5950.747, Master's Thesis, Spring 2012
CSCE 5934.747, Directed Study, Fall 2011
CSCE 6950.747, Doctoral Dissertation, Fall 2011
CSCE 6940.747, Individual Research, Fall 2011
CSCE 5950.747, Master's Thesis, Fall 2011
CSCE 6350.001, Advanced Topics in Database Design, Spring 2011
CSCE 5934.747, Directed Study, Spring 2011
CSCE 6950.747, Doctoral Dissertation, Spring 2011
CSCE 6940.747, Individual Research, Spring 2011
CSCE 5950.747, Master's Thesis, Spring 2011
CSCE 5380.001, Data Mining, Fall 2010
CSCE 5350.001, Database Systems I, Fall 2010
CSCE 5934.747, Directed Study, Fall 2010
CSCE 6950.747, Doctoral Dissertation, Fall 2010
CSCE 6940.747, Individual Research, Fall 2010
CSCE 5950.747, Master's Thesis, Fall 2010
CSCE 5900.747, Special Problems, Fall 2010
CSCE 5934.747, Directed Study, Summer 10W 2010
CSCE 6950.747, Doctoral Dissertation, Summer 10W 2010
CSCE 6940.747, Individual Research, Summer 10W 2010
CSCE 6350.001, Advanced Topics in Database Design, Spring 2010
CSCE 5934.747, Directed Study, Spring 2010
CSCE 6950.747, Doctoral Dissertation, Spring 2010
CSCE 5950.747, Master's Thesis, Spring 2010
CSCE 5380.001, Data Mining, Fall 2009
CSCE 5350.001, Database Systems I, Fall 2009
CSCE 5934.747, Directed Study, Fall 2009
CSCE 6950.747, Doctoral Dissertation, Fall 2009
CSCE 6940.747, Individual Research, Fall 2009
CSCE 5950.747, Master's Thesis, Fall 2009
CSCE 5934.747, Directed Study, Summer 10W 2009
CSCE 6350.001, Advanced Database Design, Spring 2009
CSCE 6940.747, Individual Research, Spring 2009
CSCE 6900.747, Special Problems, Spring 2009
CSCE 5350.001, Database Systems I, Fall 2008
CSCE 6940.747, Individual Research, Fall 2008
CSCE 5933.005, Topics in Computer Science and Engineering, Fall 2008
CSCE 6940.747, Individual Research, Summer 10W 2008
CSCE 6350.001, Advanced Database Design, Spring 2008
CSCE 4890.747, Directed Study, Spring 2008
CSCE 6940.747, Individual Research, Spring 2008
CSCE 5900.747, Special Problems, Spring 2008
CSCE 5350.001, Database Systems I, Fall 2007
CSCE 4350.001, Introduction to Database Systems Design, Fall 2007
CSCE 4950.747, Special Problems in Computer Science and Engineering, Fall 2007
CSCE 6940.747, Individual Research, Summer 10W 2007
CSCE 6350.001, Advanced Database Design, Spring 2007
CSCE 3110.001, Data Structures and Algorithms, Spring 2007
CSCE 4890.747, Directed Study, Spring 2007
CSCE 6950.747, Doctoral Dissertation, Spring 2007
CSCE 4890.747, Directed Study, Fall 2006
CSCE 6950.747, Doctoral Dissertation, Fall 2006
CSCE 4350.001, Introduction to Database Systems Design, Fall 2006
CSCE 5950.747, Master's Thesis, Fall 2006
CSCE 5933.002, Topics in Computer Science and Engineering, Fall 2006
CSCE 4890.747, Directed Study, Summer 10W 2006
CSCE 5934.747, Directed Study, Summer 10W 2006
CSCE 6940.747, Individual Research, Summer 10W 2006
CSCE 5950.747, Master's Thesis, Summer 10W 2006
CSCE 3110.001, Data Structures and Algorithms, Spring 2006
CSCE 4890.747, Directed Study, Spring 2006
CSCE 6950.747, Doctoral Dissertation, Spring 2006
CSCE 6940.747, Individual Research, Spring 2006
CSCE 5900.747, Special Problems, Spring 2006
CSCE 5350.003, Database Systems I, Fall 2005
CSCE 6950.747, Doctoral Dissertation, Fall 2005
CSCE 6940.747, Individual Research, Fall 2005
CSCE 4350.001, Introduction to Database Systems Design, Fall 2005
CSCE 5900.747, Special Problems, Fall 2005
CSCI 6940.747, Individual Research, Summer 10W 2005
CSCI 5890.747, Directed Study, Spring 2005
CSCI 6940.747, Individual Research, Spring 2005
CSCI 5950.747, Master's Thesis, Spring 2005
CSCI 5330.007, Topics in Computer Science, Spring 2005
CSCI 6330.003, Advanced Topics in Computer Science, Fall 2004
CSCI 6940.747, Individual Research, Fall 2004
CSCI 4350.001, Introduction to Database Systems Design, Fall 2004
CSCI 5950.747, Master's Thesis, Fall 2004

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

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
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.

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
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. (March 16, 2023March 15, 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. (March 16, 2023March 15, 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. (June 1, 2020December 31, 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. (May 1, 2018September 30, 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. (October 2016September 2019).
Huang, Y. (Principal), "Geotagging Social Media for Enhanced Location-based Search," Sponsored by Department of Defense, Federal, $450000 Funded. (June 2013December 2017).
Huang, Y. (Principal), "U.S.-Based Student Support to Attend ACM SIGSPATIAL 2014," Sponsored by National Science Foundation, Federal, Funded. (August 2014August 2015).
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. (20042010).
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. (August 2012August 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. (September 2010August 2014).
Huang, Y. (Other), "RET Site: Research Experiences for Teachers in Sensor Networks," Sponsored by NSF, Federal, $500000 Funded. (June 2011May 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. (September 2010August 2013).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
CLOSE