1. Soohwan Jeong, Jeongseon Kim, Byung Suk Lee, and Sungsu Lim, User Tendency-based Rating Scaling in Online Trading Networks, PLOS ONE, April 16, 2024. (DOI)
2. Ijaz Ul Haq, Byung Suk Lee, Donna Rizzo, and Julia Perdrial, An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone, Machine Learning with Applications, ScienceDirect, volume 16, June 2024, 100543. (DOI)
3. Gary Sterle, Kristen Underwood, Donna Rizzo, Dustin W. Kincaid, Ijaz Ul Haq, Byung Suk Lee, Julia Perdrial, Li Li, Thomas Adler, Hang Wen, Helen Middleton, and Adrian Harpold, CAMELS-Chem: Augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with Atmospheric and Stream Water Chemistry Data, Hydrology and Earth System Sciences, European Geosciences Union, volume 28, issue 3, pp. 611-630, February 2024. (DOI) (pdf).
4. Jongmin Park, Soohwan Jeong, Byung Suk Lee, and Sungsu Lim, MIGTNet: Metapath Instance-based Graph Transformation Network for Heterogeneous Graph Embedding, Future Generation Computer Systems, Volume 149, pp. 390-401, December 2023. (DOI)
5. Ali Javed, Donna M. Rizzo, Byung Suk Lee, and Robert Gramling, SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations, Data Mining and Knowledge Discovery, Springer, open access, October 2023. (DOI) (pdf)
6. Wen
Dong, Edmund Do, Byung Suk Lee, and John Cohn, Quantifying Worker Interactions
and Characterizing Worker Performance through Ubiquitous IoT, Pervasive and Mobile Computing,
Elsevier, Volume 87, December 2022, 101702. (DOI)
7. Hwan Kim, Byung Suk Lee, Won-Young Shin, and Sungsu Lim, Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges, IEEE Access, IEEE, Volume 10, pp. 111820-111829, October 2022. (DOI)
8. Wenzhe Chen, Joshua Childs, Saraf Ray, Byung Suk Lee, and Tian Xia, RFID Technology Study for Traffic Signage Inventory Management Application, IEEE Transactions on Intelligent Transportation Systems, IEEE, Volume 23, Number 10, pp. 17809-17818, October 2022. (DOI)
9.
Nargess Memarsadeghi,
Ryan D. Joseph, John C. Kaufmann, and Byung Suk Lee, Golomb Patterns,
Astrophysics, and Citizen Science Games, IEEE
Access, Volume 10, pp. 76125-76135, July 2022. (DOI)
10.
Ahmed Abdeen Hamed, Tamer E. Fandy,
Karolina L. Tkaczuk, Karin Verspoor, and Byung Suk Lee, COVID-19 Drug
Repurposing: A Network-Based Framework for Exploring Biomedical Literature and
Clinical Trials for Possible Treatments, Pharmaceutics,
MDPI, Volume 14, Issue 3:567, March 2022. (DOI)
11. Edmund Do, Jack Boynton, Byung Suk Lee, and Daniel Lustgarten, Data Augmentation for 12-Lead ECG Beat Classification, SN Computer Science, Springer, Volume 3, Number 70, 2022. (DOI) (pdf)
12. Ali Javed, Scott D. Hamshaw, Donna M. Rizzo, and Byung Suk Lee, Multivariate Event Time Series Analysis Using Hydrological and Suspended Sediment Data, Journal of Hydrology, Elsevier, Volume 593, February 2021. (DOI) (pdf)
13. Ali Javed, Byung Suk Lee, and Donna M. Rizzo, A Benchmark Study on Time Series Clustering, Machine Learning with Applications, Elsevier, Volume 1, September 2020. (DOI) (pdf)
14. Jungeun Kim, Jae-Gil Lee, Byung Suk Lee, and Jiajun Liu, Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection, ACM Transactions on Intelligent Systems and Technology, June 2020, article no. 45. (DOI). (pdf)
15. Kyu-Young Whang, Inju Na, Tae-Seob Yun, Jin-Ah Park, Kyu-Hyun Cho, Se-Jin Kim, Ilyeop Yi, and Byung Suk Lee, Building Social Networking Services Systems Using the Relational Shared-Nothing Parallel DBMS, Data and Knowledge Engineering, Elsevier, Volume 125, January 2020. (DOI) (pdf)
16. Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk Lee, LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding, IEEE Transactions on Knowledge and Data Engineering, Volume 31, Issue 11, November 2019, pp. 2138-2150. (DOI) (pdf)
17. Ali Javed and Byung Suk Lee, Hybrid Semantic Clustering of Hashtags, Online Social Networks and Media, Elsevier, Volume 5, March 2018, pp. 23-36. (pdf)
18. Saurav Acharya, Byun Suk Lee, and Paul Hines, Causal Prediction of Top-K Event Types over Real-Time Event Streams, The Computer Journal, Oxford Academic, Volume 60, Issue 11, November 2017, pp. 1561-1581. (DOI) (pdf)
19. Ali Javed and Byung Suk Lee, Sense-Level Semantic Clustering of Hashtags, Communications in Computer and Information Science, Springer, Volume 656, March 2017, pp. 1-16. (pdf)
20. Saurav Acharya and Byung Suk Lee, Enhanced Fast Causal Network Inference over Event Streams, Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII, Lecture Notes in Computer Science 8970, Springer, January 2015, pp. 45-73. (pdf)
21. Yang-Sae Moon and Byung Suk Lee, Safe MBR-Transformation in Similar Sequence Matching, Information Sciences, Elsevier, Volume 270, June 2014, pp. 28-40. (pdf)
22.
Saurav Acharya and Byung Suk
Lee, Incremental Causal Network Construction over Event Streams, Information
Sciences, Elsevier, Volume 261, March 2014, pp. 32-51. (pdf)
23. Mohammed Al-Kateb and Byung Suk Lee, Adaptive Stratified Reservoir Sampling over Heterogeneous Data Streams, Information Systems, Elsevier, Volume 39, January 2014, pp. 199-216. (pdf)
24. Mohammed Al-Kateb and Byung Suk Lee, Load Shedding for Temporal Queries over Data Streams, Journal of Computing Science and Engineering, KIISE, Volume 5, Number 4, December 2011, pp.294-304. (pdf)
25. Tri Minh Tran and Byung Suk Lee, Distributed Adaptive Windowed Stream Join Processing, International Journal of Distributed Systems and Technologies, IGI Global, Volume 2, Issue 2, April-June 2011, pp.59-81. (pdf)
26. Mohammed Al-Kateb and Byung Suk Lee, Temporal Coalescing on Window Extents over Data Streams, IEICE Transactions on Information and Systems, IEICE Press, Volume E94-D, Number 3, March 2011, pp.489-503. (pdf)
27. Jeong-Hoon Lee, Kyu-Young Whang, Hyo-Sang Lim, Byung Suk Lee, and Jun-Seok Heo, Progressive Processing of Continuous Range Queries in Hierarchical Wireless Sensor Networks, IEICE Transactions on Information and Systems, IEICE Press, Volume E-93.D, Number 7, July 2010, pp.1832-1847. (pdf)
28. Tri Minh Tran and Byung Suk Lee, Distributed Stream Join Query Processing with Semi-joins, Distributed and Parallel Databases, Springer, Volume 27, Issue 3, June 2010, pp.211-254. (pdf)
29. Tri Minh Tran and Byung Suk Lee, Transformation of Continuous Aggregation Join Queries over Data Streams, Journal of Computing Science and Engineering, KIISE, Volume 3, Number 1, March 2009, pp. 27-58. (pdf)
30. Wook-Shin Han, Jaehwa Kim, Byung Suk Lee, Yufei Tao, Ralf Rantzau, and Volker Markl, Cost-Based Predictive Spatio-Temporal Join, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Science Press, Vol. 21, Issue 2, February 2009, pp. 220-233. (pdf)
31. Zhen He, Byung Suk Lee, and X. Sean Wang, Aggregation in Sensor Networks with a User-Provided Quality of Service Goal, Information Sciences, Elsevier, Volume 178, Issue 9, May 2008, pp. 2128-2149. (pdf)
32. Zhen He, X. Sean Wang, Byung Suk Lee, and Alan C. H. Ling, Mining Partial Periodic Correlations in Time Series, Knowledge and Information Systems, Springer, Volume 15, Number 1, April 2008, pp. 31-54. (pdf)
33. Zhen He, Byung Suk Lee, and X. Sean Wang, Proactive and Reactive Multi-dimensional Histograms for Selectivity Estimation, Journal of Systems and Software, Elsevier, Volume 81, Issue 3, March 2008, pp. 414-430. (pdf)
34. Dennis Fuchs, Zhen He, and Byung Suk Lee, Compressed Histograms with Arbitrary Bucket Layouts for Selectivity Estimation, Information Sciences, Elsevier, Volume 177, Issue 3, February 2007, pp. 680-702. (pdf)
35. Songtao Jiang, Byung Suk Lee, and Zhen He, Cost Modeling of Spatial Operators Using Nonparametric Regression, Information Sciences, Elsevier, Volume 177, Issue 2, January 2007, pp. 607-631. (pdf)
36. Vinod Kannoth, Byung Suk Lee, and Jeff Buzas, Statistical Cost-Modeling of Financial Time Series Functions, Journal of Computers and Applications, ACTA Press, Volume 28, Number 3, 2006, pp. 181-188. (pdf)
37. Joon-Ho Woo, Byung Suk Lee, Min-Jae Lee, Kyu-Young Whang, and Woong-Kee Loh, Temporal Aggregation Using a Multi-dimensional Index, Journal of Database Management, Idea Group Inc., Volume 18, Issue 2, April-June 2007, pp. 62-80. (pdf)
38. Young-Ho Park, Kyu-Young Whang, Byung Suk Lee, and Wook-Shin Han, Efficient Evaluation of Partial Match Linear Path Expressions on Large-Scale Heterogeneous XML Documents Using Information Retrieval Techniques, Journal of Systems and Software, Elsevier, Volume 79, Number 2, February 2006, pp. 180-190. (pdf)
39. Won-Young Kim, Byung Suk Lee, and Kyu-Young Whang, Partial Rollback in Object-Oriented/Object-Relational Database Management Systems with Dual Buffer, Journal of Information and Software Technology, Elsevier, Volume 48, Issue 2, February 2006, pp. 121-132. (pdf)
40. Zhen He, Byung Suk Lee, and Robert Snapp, Self-Tuning Cost Modeling of User-Defined Functions in an Object-Relational DBMS, ACM Transactions on Database Systems, ACM Publications, Volume 30, Issue 3, September 2005, pp. 812-853. (pdf)
41. Byung Suk Lee, Li Chen, Jeff Buzas, and Vinod Kannoth, Regression-Based Self-Tuning Modeling of Smooth User-Defined Function Costs for an Object-Relational Database Management System Query Optimizer, The Computer Journal, Oxford University Press, Volume 47, Number 6, November 2004, pp. 673-693. (pdf)
42. Jae-Joon Hwang, Kyu-Young Whang, Yang-Sae Moon, and Byung-Suk Lee, A Top-down Approach for Density-Based Clustering Using Multidimensional Indexes, Journal of Systems and Software, Elsevier, Volume 73, Number 1, September 2004, pp. 169-180. (pdf)
43. Joon-Ho Woo, Byung Suk Lee, Min-Jae Lee, Jae-Gil Lee, and Kyu-Young Whang, Transformation-Based Temporal Aggregation Using Order-Based Buffer Replacement Strategy, Journal of Computer Systems Science and Engineering, CRL Publishing, Volume 19, Number 5, September 2004, pp. 3-9. (pdf)
44. Byung Suk Lee and Ron Musick, MeshSQL: the Query Language for Simulation Mesh Data, Information Sciences, Elsevier, Volume 158, Issues 1-4, January 2004, pp. 177-202. (pdf)
45. Byung Suk Lee, Terence Critchlow, Ghaleb Abdulla, Chuck Baldwin, Roy Kamimura, Ron Musick, Robert Snapp, and Nu Ai Tang, The Framework for Approximate Queries on Simulation Data, Information Sciences, Elsevier, Volume 157, Issues 1-4, December 2003, pp. 3-20. (DOI) (pdf)
46. Wook-Shin Han, Ki-Hoon Lee, and Byung Suk Lee, An XML Storage System for Object-Oriented/Object-Relational DBMSs, Journal of Object Technology, Volume 2, Number 3, May-June 2003, pp. 113-126. (pdf)
47. Byung Suk Lee, Robert R. Snapp, Ron Musick, and Terence Critchlow, Metadata Models for Ad Hoc Queries on Terabyte-Scale Scientific Simulations, Journal of Brazilian Computer Society, Brazilian Computer Society, Volume 8, Number 1, July 2002, pp 5-15. (pdf)
48. Sang Kyun Cha, Kihong Kim, Byung Suk Lee, Changbin Song, Sangyong Hwang, and Yongsik Kwon, MEADOW: a Middleware for Efficient Access to Multiple Geographic Databases through OpenGIS Wrappers, Software: Practice & Experience, John Wiley & Sons, Volume 32, Number 4, April 2002, pp. 377-402. (DOI) (pdf)
49. Byung Suk Lee, OODB Design with EER, Journal of Object-Oriented Programming, SIGS Publications, March 1996, pp. 61 - 64. (pdf)
50. Byung Suk Lee and Gio Wiederhold, Efficiently Instantiating View-Objects from Remote Relational Databases, The VLDB Journal, VLDB Endowment, Volume 3, Number 3, July 1994, pp. 289 - 323. (pdf)
51. Byung Suk Lee and Gio Wiederhold, Outer Joins and Filters for Instantiating Objects from Relational Databases through Views, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, Volume 6, Number 1, February 1994, pp. 108 - 119. (pdf)
52. Gio Wiederhold, Peter Rathmann, Thierry Barsalou, Byung Suk Lee, and Dallan Quass, Partitioning and Composing Knowledge, Information Systems, Elsevier, Volume 15, Number 1, March 1990, pp. 61-72. (pdf)
53. Byung Suk Lee, Hwang Soo Lee, Byung Cheol Shin, and Chong Kwan Un, Implementation of a Multi-rate Speech Digitizer, IEEE Transactions on Communications, IEEE Communications Society, June 1983, pp. 775-783. (pdf)
1.
Byung Suk Lee, Normalization in OODB Design, SIGMOD
Record, ACM Special Interest Group on Management of Data, Volume 24, Number
3, September 1995, pp. 23 - 27. (pdf)
1. Ahmed Abdeen Hamed, Alessandro Crimi, Byung Suk Lee, and Magdalena M. Mesiak, Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification, Proceedings of the 24th International Conference on Computational Science, Malaga, Spain, July 2-4, 2024. (DOI) (arXiv).
2. Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, and Byung Suk Lee, Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection, Proceedings of the Web Conference 2024, Singapore, May 13-17, 2024. (pdf)
3. Jay Hwasung Jung, Wenzhe Chen, Byung Suk Lee, and Tian Xia, RFID and Wireless IoT Technologies for Transportation Maintenance Operations and Asset Management, Transportation Research Board 103rd Annual Meeting, Washington D.C., January 7-14, 2024, poster. (pdf)
4.
Yooju
Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, and Byung Suk Lee, Context
Consistency Regularization for Label Sparsity in Time Series, Proceedings of the 40th
International Conference on Machine Learning, July 25-27, 2023, Honolulu,
Hawaii, USA. (pdf)
5.
Byung Suk Lee, John Clay Kaufmann, James B. Shanley,
Donna M. Rizzo, and Ijaz Ul Haq, Peak Anomaly Detection from Environmental
Sensor-Generated Watershed Time Series Data, Proceedings of the 9th
International Conference on Information Management and Big Data (SIMBIG), November
16-18, 2022, Lima, Peru. (pdf)
6.
Ahmed Abdeen Hamed, Jakub
Jonczyk, Mohammad Zaiyan Alam,
Ewa Deelman, and Byung Suk Lee, Mining Literature-Based Knowledge Graph for
Predicting Combination Therapeutics: A COVID-19 Use Case, Proceedings of the IEEE
International Conference on Knowledge Graph (ICKG), November 30-December 1,
2022, Orlando, Florida, USA. (DOI) (pdf)
7. Susik Yoon, Youngjun Lee, Jae-Gil Lee, and Byung Suk Lee, Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream, Proceedings of the 28th SIGKDD Conference on Knowledge Discovery and Data Mining, August 14-18, 2022, Washington, D.C., USA. (DOI) (pdf)
8.
Yooju Shin, Susik Yoon, Hwanjun Song, Sungdong Kim, Jae-Gil Lee, and Byung Suk Lee,
Coherence-based Label Propagation over Time series for Accelerated Active
Learning, Proceedings of the 10th
International Conference on Learning Representation (ICLR), April 25-29,
2022, virtual. (pdf)
9. Susik
Yoon, Youngjun Lee, Jae-Gil Lee, and Byung Suk Lee, Adaptive
Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data
Stream, Proceedings of the 28th SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD), August 14-18, 2022, Washington, D.C., USA.
(DOI) (pdf)
10. Jack Boynton and Byung Suk Lee, Deep Learning Based Classification of True/False Arrhythmia Alarms in the Intensive Care Unit, Proceedings of the 48th Computing in Cardiology Conference (CinC2021), September 12-15, 2021, Brno, Czech Republic. (pdf)
11. Susik Yoon, Yooju Shin, Jae-Gil Lee, and Byung Suk Lee, Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries, Proceedings of the ACM SIGMOD/PODS International Conference on Management of Data, June 20 - 25, 2021, Xi`an, Shaanxi, China. (pdf)
12.
Susik Yoon, Jae-Gil Lee, and Byung Suk Lee,
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region
Skipping, Proceedings of the ACK SIGKDD
Conference on Knowledge Discovery and Data Mining, August 23-27, 2020,
virtual. (pdf)
13. Susik Yoon, Jae-Gil Lee, and Byung Suk Lee, NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing, Proceedings of the 45th International Conference on Very Large Data Bases (VLDB), vol. 12, no. 11, August 2019, Los Angeles, CA, USA, pp. 1303-1315. (pdf)
14.
Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk
Lee, LinkBlackHole*: Robust Overlapping Community
Detection Using Link Embedding (Extended Abstract), TKDE Poster, Proceedings of the 35th IEEE
International Conference on Data Engineering, April 2019, Macau SAR, China.
(pdf)
15. Yuhang Lin, Byung Suk Lee, and Daniel Lustgarten, Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection, in: Lossio-Ventura J., Munante D., Alastrista-Salas H. (eds), Information Management and Big Data. SIMBig 2018, September 3-5, 2018, Communications in Computer and Information Science, vol. 898, Springer, Cham, pp. 349-366. (pdf)
16. Prajwal Shrestha, Byung Suk Lee, and James P. Bagrow, Predicting an Effect Event from a New Cause Event Using a Semantic Web Based Abstraction Tree of Past Cause-Effect Event Pairs, Proceedings of the 4thd Annual International Symposium on Information Management and Big Data (SIMBig), Lima, Peru, September 4-6, 2017, pp. 198-207. (pdf).
17. Sang-Pil Kim and Byung Suk Lee, Are You a Compatible User? --
Compatibility of a Microblog User with a News Article, Proceedings of the 5th
World Conference on Information Systems and Technologies, Vol.3, pp. 193-204, Porto
Santo Island, Madeira, Portugal, April 11-13, 2017 in Volume 571 of the
Advances in Intelligent Systems and Computing Series, Springer. (pdf)
18. Ali Javed and Byung Suk Lee, Sense-Level Semantic Clustering of Hashtags in Social Media, Proceedings of the 3rd Annual International Symposium on Information Management and Big Data (SIMBig), Cusco, Peru, September 1-3, 2016, pp. 140-149 (pdf).
19. Daehoon Kim, Jae-Gil Lee, and Byung Suk Lee, Topical Influence Modeling via Topic-Level Interests and Interactions on Social Curation Services, Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), Bali, Indonesia, May 16-20, 2016, pp. 13-24. (pdf)
20.
Saurav Acharya and
Byung Suk Lee, Fast Causal Network Inference over Event Streams, Proceedings
of the 15th International Conference on Data Warehousing and Knowledge Discovery
(DaWaK), Prague, Chez Republic, August
26-29, 2013. (pdf)
21. Ahmed Abdeen Hamed, Byung Suk Lee, and Anne Thessen, Ecosystems Monitoring: An Information Extraction and Event Processing Scientific Workflow, Proceedings of the IEEE 6th World Congress on Services (SERVICES): IEEE 4th International Workshop on Scientific Workflows (SWF), Miami, Florida, USA, July 5, 2010. (pdf)
22.
Mohammed Al-Kateb and Byung Suk Lee, Stratified
Reservoir Sampling over Heterogeneous Data Streams, Proceedings of the 22nd
International Conference on Scientific and Statistical Database Management
(SSDBM), Heidelberg, Germany, June 30-July 2,
2010. (pdf)
23. Gyejeong Kim, Kyu-Young Whang, Min-Soo Kim, Byung Suk Lee, Hyo-Sang Lim, and Ki-Hoon Lee, Incremental Clustering Crawler for Community-Limited Search, Proceedings of the 2nd International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), August 4-6, 2009, London, United Kingdom. (pdf)
24. Tri Tran and Byung Suk Lee, Transformation of Continuous Aggregation Join Queries over Data Streams, Proceedings of the 10th International Symposium on Spatial and Temporal Databases (SSTD) (Lecture Note in Computer Science, Volume 4605), July 16-18, 2007, Boston, MA, U.S.A. pp. 330-347. (pdf)
25. Tri Tran, Byung Suk Lee, and Matthew Bovee, Why Not Semijoins for Streams, When Distributed?, Proceedings of the Second International Conference on Digital Telecommunications (ICDT), July 1-6, 2007, San Jose, CA, U.S.A., Number 27 (CD). (Best paper award). (pdf)
26. Mohammed Al-Kateb, Byung Suk Lee, and X. Sean Wang, Adaptive-Size Reservoir Sampling over Data Streams, Proceedings of the 19th International Conference on Scientific and Statistical Database Management (SSDBM), Banff, Canada, July 9-11, 2007, Number 22 (CD). (pdf)
27. Mohammed Al-Kateb, Byung Suk Lee, and X. Sean Wang, Reservoir Sampling over Memory-Limited Stream Joins, Proceedings of the 19th International Conference on Scientific and Statistical Database Management (SSDBM), Banff, Canada, July 9-11, 2007, Number 23 (CD). (pdf)
28. Young-Ho Park, Kyu-Young Whang, Byung Suk Lee, and Wook-Shin Han, Evaluation of Partial Match Queries for XML Documents Using Information Retrieval Techniques, Proceedings of the 10th International Conference on Database Systems for Advanced Applications (DASFAA)(Lecture Notes in Computer Science, Volume 3453), Beijing, China, April 17-20, 2005, pp. 95-112. (pdf)
29. Wook-Shin Han, Ki-Hoon Lee, Byung Suk Lee, and Won-Sik Kim, An XML Storage System Using Object-Relational DBMSs: Syntax, Semantics, and Implementation, Proceedings of the International Conference on Information and Knowledge Engineering (IKE), Las Vegas, Nevada, U.S.A., June 21-24, 2004. (pdf)
30. Zhen He, Byung Suk Lee, and Robert R. Snapp, Self-tuning UDF Cost Modeling Using the Memory Limited Quadtree, Proceedings of the 9th International Conference on Extending Database Technology (EDBT), Heraklion, Crete, Greece, March 14-18, 2004, pp 513-531. (pdf)
31. R. Kamimura, G. Abdulla, C. Baldwin, T. Critchlow, B. Lee, I. Lozares, R. Musick, and N. Tang, Use of Numerical Models as Data Proxies for Approximate Ad-Hoc Query Processing, Proceedings of the 7th Joint Conference on Information Sciences (JCIS), Research Triangle Park, NC, U.S.A.., September 26 - 30, 2003, pp. 588-593. (pdf)
32. Byung S. Lee, Preventing Cache Overflows in an Object-Oriented Database Management System with the Object-Descriptor Architecture, Proceedings of the 7th Joint Conference on Information Sciences (JCIS), Research Triangle Park, NC, U.S.A., September 26 - 30, 2003, pp. 410-413. (pdf)
33. Sangyong Hwang, Keunjoo Kwon, Sang K. Cha, and Byung Suk Lee, Performance Evaluation of Main-Memory R-tree Variants, Proceedings of the 8th International Symposium on Spatial and Temporal Databases (SSTD), Santorini Island, Greece, July 24-27, 2003, pp. 10-27. (pdf)
34. Jeong-Joon Lee, Kyu-Young Whang, Byung Suk Lee, and Ji-Woong Chang, An Update Risk-Based TTL Estimation in Web Caching, Proceedings of the 3rd ACM International Conference on Web Information Systems Engineering (WISE), Singapore, December 12-14, 2002, pp. 21-29. (pdf)
35. Won-Young Kim, Kyu-Young Whang, Byung Suk Lee, Young-Koo Lee, and Ji-Woong Chang, Partial Rollback in Object-Oriented/Object-Relational Database Management Systems, Proceedings of the 11th International Conference on Information and Knowledge Management (CIKM), McLean, VA, U.S.A., November 4-9, 2002, pp. 316-323. (pdf)
36. Li Chen, Guoliang Xue, and Byung Suk Lee, A Delay-Scaling Multicast Algorithm with Multiple QoS Criteria, Proceedings of the 6th International Conference on Computer Science and Informatics (CSI), Durham, NC, U.S.A., March 8 - 14, 2002, pp. 319-323. (pdf)
37. Byung Suk Lee, Robert R. Snapp, Ron Musick, and T. Critchlow, Ad hoc Query Support for Very Large Scientific Data: the Metadata Approach, Proceedings of the 16th Brazilian Symposium on Databases (SBBD), Rio de Janeiro, Brazil, October 1-3, 2001, pp.199-212. (An extended version published in Journal of Brazilian Computer Society.) (pdf)
38. Ghaleb Abdulla, Chuck Baldwin, Terence Critchlow, Roy Kamimura, Byung Suk Lee, Ida Lozares, Ron Musick, Robert Snapp, and Nu Ai Tang, Approximate Ad-hoc Query Engine for Simulation Data, Proceedings of the 1st ACM+IEEE Joint Conference on Digital Libraries (JCDL), Roanoke, VA, USA, June, 2001, pp. 255-256. (pdf)
39. Byung Suk Lee, Robert Snapp, and Ron Musick, Toward a Query Language on Simulation Mesh Data: an Object-Oriented Approach, Proceedings of the 7th International Conference on Database Systems for Advanced Applications (DASFAA), Hong Kong, April 18-20, 2001, pp. 242-249. (pdf)
40. Kwok Y. Yu, Byung Suk Lee, and Michael R. Olson, The Scalability of an Object Descriptor Architecture OODBMS, Proceedings of the 3rd International Database Engineering and Application Symposium (IDEAS), August 2-4, 1999, Montreal, Canada, pp. 370-379. (pdf)
41. Michael R. Olson and Byung S. Lee, Object Databases for SGML Document Management, Proceedings of the 30th Hawaiian International Conference on Systems Sciences (HICSS), Volume III, Maui, HI, U.S.A., January 7-11, 1997, pp. 39-48. (pdf)
42. Byung Suk Lee, Witold Litwin, and Gio Wiederhold, Implicit Joins in the Structural Data Model, Proceedings of the 15th International Computer Software and Application Conference (COMPSAC), Tokyo, Japan, September 1991, pp. 357-364. (pdf)
43. Gio Wiederhold, Thierry Barsalou, Byung Suk Lee, Niki Siambela, and Walter Sujanski, Use of Relational Storage and a Semantic Model to Generate Objects: the Penguin Project, in Database '91: Merging Policy, Standards and Technology, The Armed Forced Communications and Electronics Association, Fairfax, VA, U.S.A., June 1991, pp. 503-515. (pdf)
1.
X. Sean Wang, Byung Suk Lee, and Firooz
Sadjadi, AKSED: Adaptive Knowledge-Based System for
Event Detection Using Collaborative Unmanned Aerial Vehicles, Proceedings of
the SPIE Defense and Security Symposium, Orlando (Kissimmee), Florida
U.S.A., April 17-21, 2006. (pdf)
1.
Byung Suk Lee, Object-Oriented Databases: Systems and
Standards, in Hesham El-Rewini
and Scott Hamilton (eds.) Object Technology: A Virtual Round Table, IEEE
Computer, October 1995, pp. 64-65. (pdf)
1.
Byung Suk Lee (Ed.): Proceedings of the 2008 International Workshop on Scalable Stream
Processing System, SSPS 2008, Nantes, France, March 29, 2008. (link)
1. Ijaz Ul Haq, Gabrielle Boisrame, Byung Suk Lee, Kristen Underwood, and Julia Perdrial, From Ashes to Insights: Dissecting Ecosystem Dynamics and After Wildfire in Illiouette Creek Basin, abstract, AGU Fall Meeting 2023, San Francisco, California, U.S.A., December 11-15, 2024. (URL) (Presented in person by Ijaz Ul Haq.)
2. Julia N. Perdrial, Dustin W. Kincaid, Deidre Wheaton, Erin Seybold, Ben Abbott, Donna M. Rizzo, Kristen Underwood, Li Li, Manya Ruckhaus, Bryn Stewart, and Byung Suk Lee, Investigating multiple scales across disciplines and team science: insights from the Big Data Collaborative Network Cluster, abstract, American Chemical Society Meeting, San Diego, USA, March 20-24, 2022. (URL) (Presented in person by Julia N. Perdrial.)
3.
Julia N. Perdrial,
Kristen Underwood, Shaurya Swami, Byung Suk Lee, Ijaz Ul Haq, Dustin W.
Kincaid, Bryn Stewart, Erin Seybold, Donna M. Rizzo, Li Li,
Scott D. Hamshaw, James B. Shanley, From pattern to
process and process to pattern: insights on data-driven Critical Zone research
from the Big Data collaborative network cluster, abstract, Goldschmidt Conference, Honolulu, Hawaii, July 10-15, 2022. (URL)
(Presented in person by Julia N. Perdrial.)
4. Byung Suk Lee, Gillian Galford, Peder Nelson, Peter Nelson, Jack Boynton, Spencer Dooley, Maya Fein-Cole, Emma Rosenau, Sonali Thakkar, Jaden Varin, Shermane Austin, and Holli Kohl, Labeling Citizen Science Land Cover Photos to Enable Machine Learning Classifiers and Searchable Databases within the GLOBE Observer Community, abstract, the 22nd William T. Pecora Remote Sensing Symposium (Pecora 22), Denver, Colorado, U.S.A., October 23-27, 2022. (Presented by Byung Suk Lee via pre-recording played by Peder Nelson.)
5. Byung Suk Lee, James Shanley, John Clay Kaufmann, Donna Rizzo, Julia Perdrial, and Ijaz Ul Haq, Peak Anomaly Detection using Critical Zone Time Series Data: Knowledge-Engineering and Deep-Learning, abstract, AGU Fall Meeting 2022, Chicago, Illinois, U.S.A., December 12-16, 2022. (URL) (Poster online by Byung Suk Lee.)
6. Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo, Julia N. Perdrial, and James B. Shanley, Automated Machine Learning Approach to Supervised Anomaly Detection from Critical Zone Watershed Sensor-Generated Time Series Data, abstract, AGU Fall Meeting 2022, Chicago, Illinois, U.S.A., December 12-16, 2022. (URL) (Poster in person by Ijaz Ul Haq.)
7. Julia Perdrial, Dustin Kincaid, Deidre Wheaton, Leon Walls, Ijaz Ul Haq, Donna M. Rizzo, Scott D. Hamshaw, Byung S. Lee, Erin Seybold, Gabriel Lewis, Regina Toolin, and Jon Chorover, Why Critical Zone (CZ) science needs team science: insights from the big data CZ network cluster, abstract, AGU Fall Meeting 2021, New Orleans, LA, USA, December 13-17, 2021. (URL)
8. Byung Suk Lee, James B Shanley,
Zachery Fogg, Jonah Rubin, Scott D Hamshaw, Donna M Rizzo and Julia N Perdrial,
Automated Cleaning of Multiple Time
Series Data from the Sleepers Research River Watershed, abstract, AGU Fall Meeting 2021, New Orleans, LA, USA,
December 13-17, 2021. (URL)
9. Julia Perdrial, Caitlin Bristol, Manya Ruckhaus, Erin Seybold, Bryn Stewart, Ben W Abbott, Dustin W Kincaid, Kristen Underwood, Scott D Hamshaw, James B Shanley, Li Li, Donna Rizzo, Raymond Lee, Gabriel Lewis and Byung Suk Lee, Assessing ecohydrological resilience across scales: opportunities and challenges for Critical Zone research, abstract, Goldschmidt2021 Conference, Lyon, France, July 4-9 2021. (URL)
10. Wenzhe Chen, Joshua Childs, Saraf Ray, Byung Suk Lee, and Tian Xia, Integrating In-Vehicle and Handheld RFID Readers for Developing Traffic Signage Inventory Management System in Rural and Urban Environments, 2020 Transportation Research Bureau (TRB) Annual Meeting, January 12-16, 2020. (pdf) (Poster presented by Byung Suk Lee.)
11. Ali Javed, Scott Hamshaw, Byung Suk Lee, and Donna Rizzo, Spatiotemporal Trajectories as a New Approach for Studying Concentration-discharge Relationships of Hydrological Events, 2018 American Geophysical Union (AGU) Fall Meeting, Washington, D.C., December 10-14, 2018. (URL) (Poster presented by Scott Hamshaw.)