Publications

Colorful Book Spines
 

2022

Conference

Yoon, S., Lee, Y., Lee, J., and Lee, B. S., "Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream," In Proc. 28th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Washington, D.C., Aug. 2022 (top conference, acceptance rate: 15.0%).

Conference

Shin, Y., Yoon, S., Kim, S., Song, H., Lee, J., and Lee, B. S., "Coherence-based Label Propagation over Time Series for Accelerated Active Learning," In Proc. 9th Int'l Conf. on Learning Representations (ICLR), Virtual Event, Apr. 2022 (acceptance rate: 32.3%) [pdf]

Conference

Kim, M., Song, H., Shin, Y., Park, D., Shin, K., and Lee, J., "Meta-Learning for Online Update of Recommender Systems," In Proc. 36th AAAI Conf. on Artificial Intelligence (AAAI), Virtual Event, Feb. 2022 (top conference, acceptance rate: 15.0%).

Conference

Kim, D., Min, H., Nam, Y., Song, H., Yoon, S., Kim, M., and Lee, J., "COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies," In Proc. 36th AAAI Conf. on Artificial Intelligence (AAAI), Virtual Event, Feb. 2022 (top conference, acceptance rate: 15.0%).

Journal

Song, H., Kim, M., Park, D., Shin, Y., and Lee, J., "Learning from Noisy Labels with Deep Neural Networks: A Survey," IEEE Trans. on Neural Networks and Learning Systems (TNNLS), to appear, Feb. 2022 (SCI Expanded, impact factor: 10.451) [pdf]

 

2021

Conference

Park, D., Song, H., Kim, M., and Lee, J., "Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data," In Proc. 35th Annual Conference on Neural Information Processing Systems (NeurIPS), Virtual Event, pp. 4040 ~ 4052, Dec. 2021 (top conference, acceptance ratio: 25.7%). [pdf] [poster]

Conference

Song, H., Kim, E., Jampani, V., Sun, D., Lee, J., and Yang, M., "Exploiting Scene Depth for Object Detection with Multimodal Transformers," In Proc. 32nd British Machine Vision Conference (BMVC), Virtual Event, UK, pp. 1 ~ 14, Nov. 2021. [pdf] [ppt] [video]

Conference

Song, H., Kim, M., Park, D., Shin, Y., and Lee, J., "Robust Learning by Self-Transition for Handling Noisy Labels," In Proc. 27th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Virtual Event, Singapore, pp. 1490 ~ 1500, Aug. 2021 (top conference, acceptance rate: 15.4%). [pdf] [ppt] [video]

Conference

Yoon, S., Shin, Y., Lee, J., and Lee, B. S., "Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries," In Proc. 2021 ACM Int'l Conf. on Management of Data (SIGMOD), Virtual Event, China,  pp. 2063 ~ 2075, June 2021 (top conference, acceptance rate: 41.8%). [pdf] [ppt] [video]

Conference

Trirat, P. and Lee, J., "DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior," In Proc. The Web Conference 2021 (TheWebConf), Virtual Event, Slovenia, pp. 1146 ~ 1156, Apr. 2021 (top conference, full presentation paper, acceptance rate: 20.6%). [pdf] [ppt] [video]

Conference

Kim, M., Song, H., Kim, D., Shin, K., and Lee, J., "PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation," In Proc. 35th AAAI Conf. on Artificial Intelligence (AAAI), Virtual Event, pp. 4164 ~ 4171, Feb. 2021 (top conference, acceptance rate: 21.4%). [pdf] [ppt]

Tutorial

Lee, J., Roh, Y., Song, H., and Whang, S. E., "Machine Learning Robustness, Fairness, and their Convergence," In Proc. 27th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Virtual Event, Singapore, pp. 4046 ~ 4047, Aug. 2021. [abstract] [ppt/video]

 

2020

Conference

Song, H., Kim, M., Kim, S., and Lee, J., "Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection," In Proc. 29th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Virtual Event, Ireland, pp. 1385 ~ 1394, Oct. 2020 (full paper, acceptance rate: 21.0%). [pdf] [ppt] [video]

Conference

Cha, N., Kim, A., Park, C. Y., Kang, S., Park, M., Lee, J., Lee, S., and Lee, U., ""Hello There! Is Now a Good Time to Talk?": Opportune Moments for Proactive Interactions with Smart Speakers," In Proc. 2021 ACM Int'l Joint Conf. on Pervasive and Ubiquitous Computing (UbiComp) / Proc. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 4, No. 3, pp. 74:1 ~ 74:28, Sept. 2020. [pdf] [video]

Conference

Kim, M., Kang, J., Kim, D., Song, H., Min, H., Nam, Y., Park, D., and Lee, J., "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea," In Proc. 26th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Virtual Event, California, pp. 3466 ~ 3473, Aug. 2020 (top conference, AI for COVID track). [pdf] [ppt] [video]

Conference

Yoon, S., Lee, J., and Lee, B. S., "Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping," In Proc. 26th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Virtual Event, California, pp. 1181 ~ 1191, Aug. 2020 (top conference, full paper, acceptance rate: 16.9%). [pdf] [ppt] [video(3m)] [video(20m)]

Conference

Kim, S., Song, H., Kim, S., Kim, B., and Lee, J., "Revisit Prediction by Deep Survival Analysis," In Proc. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Virtual Event, Singapore, pp. 514 ~ 526, May 2020 (full paper, acceptance rate: 21.0%). [pdf] [ppt] [video]

Conference

Park, D., Song, H., Kim, M., and Lee, J., "TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data," In Proc. The Web Conference 2020 (TheWebConf), Virtual Event, Taiwan, pp. 1615 ~ 1624, Apr. 2020 (top conference, full/oral presentation paper, acceptance rate: 19.2%). [pdf] [ppt] [video]

Journal

Lee, J., Bae, D., Kim, S., Kim, J., and Yi, M. Y., "An Effective Approach to Enhancing a Focused Crawler Using Google," The Journal of Supercomputing, Vol. 76, No. 10, pp. 8175 ~ 8192, Oct. 2020 (SCI Expanded, impact factor: 2.469). [link]

Journal

Song, H., Kim, S., Kim, M., and Lee, J., "Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection," Machine Learning, Vol. 109, No. 9, pp. 1837 ~ 1853, Sept. 2020 (SCI Expanded, impact factor: 2.672). This paper was presented at the journal track of ECML-PKDD 2020. [link] [ppt] [video]

Journal

Kang, M. and Lee, J., "Effect of Garbage Collection in Iterative Algorithms on Spark: An Experimental Analysis," The Journal of Supercomputing, Vol. 76, No. 9, pp. 7204 ~ 7218, Sept. 2020 (SCI Expanded, impact factor: 2.469). [link]

Journal

Jung, H., Lee, J., Lee, N., and Kim, S., "PTEM: A Popularity-based Topical Expertise Model for Community Question Answering," Annals of Applied Statistics (AOAS), Vol. 14, No. 3, pp. 1304 ~ 1325, Sept. 2020 (SCI Expanded, impact factor: 1.675). [link]

Journal

Kim, J., Lee, J., Lee, B. S., and Liu, J., "Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection," ACM Trans. on Intelligent Systems and Technology (TIST), Vol. 11, No. 4, pp. 45:1 ~ 45:26, June 2020 (SCI Expanded, impact factor: 2.861). [link]

Journal

Jang, G., Lee, J., Lee, J., and Liu, Y., "Distributed Fine-Tuning of CNNs for Image Retrieval on Multiple Mobile Devices," Pervasive and Mobile Computing, Vol. 64, pp. 101134:1 ~ 101134:20, Apr. 2020 (SCI Expanded, impact factor: 2.769). [link]

Journal

Jung, H., Lee, J., and Kim, S., "On the Analysis of Fitness Change: Fitness-Popularity Dynamic Network Model with Varying Fitness," Journal of Statistical Mechanics: Theory and Experiment, Vol. 2020, No. 4, pp. 043407:1 ~ 043407:21, Apr. 2020 (SCI Expanded, impact factor: 2.371). [link]

Journal

Kim, S. and Lee, J., "A Systematic Framework of Predicting Customer Revisit with In-Store Sensors," Knowledge and Information Systems, Vol. 62, No. 3, pp. 1005 ~ 1035, Mar. 2020 (SCI Expanded, impact factor: 2.247). [link]

Journal

Hong, S. K. and Lee, J., "DTranNER: Biomedical Named Entity Recognition with Deep Learning-Based Label-Label Transition Model," BMC Bioinformatics, Vol. 21, No. 53, pp. 1 ~ 12, Feb. 2020 (SCI Expanded, impact factor: 2.511). [link]

Tutorial

Whang, S. and Lee, J., "Data Collection and Quality Challenges for Deep Learning," In Proc. 46th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. of The VLDB Endowment (PVLDB), Vol. 13, No. 12, pp. 3429 ~ 3432, Sept. 2, 2020.  [abstract] [video]

 

2019

Conference

Yoon, S., Lee, J., and Lee, B. S., "NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing," In Proc. 45th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. of The VLDB Endowment (PVLDB), Vol. 12, No. 11, pp. 1303 ~ 1315, Aug. 2019 (top conference, acceptance rate: 18.9%). [pdf] [ppt]

Conference

Song, H., Kim, M., and Lee, J., "SELFIE: Refurbishing Unclean Samples for Robust Deep Learning," In Proc. 36th Int'l Conf. on Machine Learning (ICML), Long Beach, California, pp. 5907 ~ 5915, June 2019 (top conference, acceptance rate: 22.6%). [pdf] [ppt]

Conference

Shin, Y., Yoon, S., Trirat, P., and Lee, J., "CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing," In Proc. 35th Int'l Conf. on Data Engineering (IEEE ICDE), Macau, China, pp. 2004 ~ 2007, Apr. 2019 (top conference, demo paper). [pdf]

Conference

Kim, J., Lim, S., Lee, J., and Lee, B. S., "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract)," In Proc. 35th Int'l Conf. on Data Engineering (IEEE ICDE), Macau, China, pp. 2123 ~ 2124, Apr. 2019 (TKDE poster).

Journal

Lee, J., Jang, G., Jung, H., Lee, J., and Lee, U., "Maximizing MapReduce Job Speed and Reliability in the Mobile Cloud by Optimizing Task Allocation," Pervasive and Mobile Computing, Vol. 60, pp. 101082:1 ~ 101082:24, Nov. 2019 (SCI Expanded, impact factor: 2.769). [link]

Journal

Kim, J., Lim, S., Lee, J., and Lee, B. S., "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding," IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 31, No. 11, pp. 2138 ~ 2150, Nov. 2019 (SCI Core, impact factor: 3.438). [link]

 

2018

Conference

Kim, S. and Lee, J., "Utilizing In-Store Sensors for Revisit Prediction," In Proc. 2018 IEEE Int'l Conf. on Data Mining (ICDM), Singapore, Singapore, pp. 217 ~ 226, Nov. 2018 (full paper, acceptance rate: 8.9%). This paper was selected as One of the Best Papers. [pdf] [ppt]

Conference

Oh, J., Lee, I., Seonwoo, Y., Sung, S., Kwon, I., and Lee, J., "TED Talk Recommender Using Speech Transcripts," In Proc. 2018 IEEE/ACM Int'l Conf. on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, pp. 598 ~ 600, Aug. 2018 (demo paper). [pdf]

Conference

Song, H. and Lee, J., "RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning," In Proc. 2018 ACM Int'l Conf. on Management of Data (SIGMOD), Houston, Texas, pp. 1173 ~ 1187, June 2018 (top conference, acceptance rate: 19.6%). [pdf] [ppt]

Journal

Jung, H., Lee, J., Lee, N., and Kim, S., "Comparison of Fitness and Popularity: Fitness-Popularity Dynamic Network Model," Journal of Statistical Mechanics: Theory and Experiment, Vol. 2018, No.12, pp. 123403:1 ~ 123403:15, Dec. 2018 (SCI Expanded, impact factor: 2.196). [pdf]

 

2017

Conference

Song, H., Lee, J., and Han, W., "PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency," In Proc. 23rd ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Halifax, Canada, pp. 1087 ~ 1096, Aug. 2017 (top conference, acceptance rate: 17.5%). [pdf] [video(3m)]

Conference

Kang, H., Kang, M., and Lee, J., "Efficient Fall Detection Based on Event Pattern Matching in Image Streams," In Proc. 2017 IEEE Int'l Conf. on Big Data and Smart Computing (BigComp), Jeju Island, Korea, pp. 51 ~ 58, Feb. 2017 (regular paper, acceptance rate: 25.0%).

Journal

Kang, M. and Lee, J., "An Experimental Analysis of Limitations of MapReduce for Iterative Algorithms on Spark," Cluster Computing, Vol. 20, No. 4, pp. 3593 ~ 3604, Dec. 2017 (SCI Expanded, impact factor: 2.040). [link]

Journal

Kim, S., Lee, J., and Yi, M. Y., "Developing Information Quality Assessment Framework of Presentation Slides," Journal of Information Science, Vol. 43, No. 6, pp. 742 ~ 768, Dec. 2017 (SCI Expanded, impact factor: 1.372). [link]

Journal

Kim, B., Moon, Y., and Lee, J., "Boundary Image Matching Supporting Partial Denoising Using Time-Series Matching Techniques," Multimedia Tools and Applications, Vol. 76, No. 6, pp. 8471 ~ 8496, Mar. 2017 (SCI Expanded, impact factor: 1.530). [pdf]

Journal

Kim, J., Lee, J., and Lim, S., "Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs," ACM Trans. on Intelligent Systems and Technology (TIST), Vol. 8, No. 2, pp. 27:1 ~ 27:23, Jan. 2017 (SCI Expanded, impact factor: 2.414). [pdf]

 

2016

Conference

Kang, M. and Lee, J., "A Comparative Analysis of Iterative MapReduce Systems," In Proc. 6th Int'l Conf. on Emerging Databases: Technologies, Applications, and Theory (EDB), Jeju Island, Korea, pp. 61 ~ 64, Oct. 2016 (short paper). This paper received the Runner-Up Paper Award.

Conference

Lee, H., Kang, M., Youn, S., Lee, J., and Kwon, Y., "An Experimental Comparison of Iterative MapReduce Frameworks," In Proc. 25th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Indianapolis, Indiana, pp. 2089 ~ 2094, Oct. 2016 (extended short paper, acceptance rate: 28.9%). [pdf]

Conference

Lee, I., Lee, J., and Whang, K., "APAM: Adaptive Eager-Lazy Hybrid Evaluation of Event Patterns for Low Latency," In Proc. 25th ACM Int'l Conf. on Information and Knowledge Management (CIKM), Indianapolis, Indiana, pp. 2275 ~ 2280, Oct. 2016 (extended short paper, acceptance rate: 28.9%). [pdf]

Conference

Choy, M., Kim, D., Lee, J., Kim, H., and Motoda, H., "Looking Back on the Current Day: Interruptibility Prediction Using Daily Behavioral Features," In Proc. 2016 ACM Int'l Joint Conf. on Pervasive and Ubiquitous Computing (UbiComp), Heidelberg, Germany, pp. 1004 ~ 1015, Sept. 2016 (acceptance rate: 23.9%). [pdf] [ppt]

Conference

Kim, D., Lee, J., and Lee, B. S., "Topical Influence Modeling via Topic-Level Interests and Interactions on Social Curation Services," In Proc. 32nd Int'l Conf. on Data Engineering (IEEE ICDE), Helsinki, Finland, pp. 13 ~ 24, May 2016 (top conference, acceptance rate: 25.0%). [pdf] [ppt]

Conference

Lim, S., Kim, J., and Lee, J., "BlackHole: Robust Community Detection Inspired by Graph Drawing," In Proc. 32nd Int'l Conf. on Data Engineering (IEEE ICDE), Helsinki, Finland, pp. 25 ~ 36, May 2016 (top conference, acceptance rate: 25.0%). [pdf] [ppt]

Conference

Yea, S., Kim, S., To, J., and Lee, J., "SentiWorld: Understanding Emotions between Countries Based on Tweets," In Proc. 10th Int'l AAAI Conf. on Web and Social Media (ICWSM), Cologne, Germany, pp. 762 ~ 763, May 2016 (demo paper, acceptance rate: 27.0%). [pdf]

Journal

Lim, S. and Lee, J., "Motif-Based Embedding for Graph Clustering," Journal of Statistical Mechanics: Theory and Experiment, Vol. 2016, No. 12, pp. 123401:1 ~ 123401:18, Dec. 2016 (SCI Expanded, impact factor: 2.091). [pdf]

Journal

Liu, J., Zhao, K., Sommer, P., Shang, S., Kusy, B., Lee, J., and Jurdak, R., "A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments," IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 28, No. 11, pp. 2827 ~ 2841, Nov. 2016 (SCI Core, impact factor: 2.476). [pdf]

Journal

Moon, S., Lee, J., Kang, M., Choy, M., and Lee, J., "Parallel Community Detection on Large Graphs with MapReduce and GraphChi," Data & Knowledge Engineering (DKE), Vol. 104, pp. 17 ~ 31, July 2016 (SCI Expanded, impact factor: 1.500). [link]

 

2015

Conference

Lee, J., Kim, J., Lee, U., and Lee, J., "SocialKeyboard: Proofreading Everyday Writings in Mobile Phones," In Proc. 2015 ACM Int'l Conf. on Human Factors in Computing Systems (CHI), Seoul, Korea, pp. 1591 ~ 1596, Apr. 2015 (top conference, works in progress).

Conference

Kim, J., Kang, M., Lim, S., and Lee, J., "Triangle Counting in Networks Using Multi-Level Branching Technique," In Proc. 2015 Int'l Conf. on Big Data and Smart Computing (BigComp), Jeju Island, Korea, pp. 47 ~ 50, Feb. 2015 (short paper).

Journal

Kim, J. and Lee, J., "Community Detection in Multi-Layer Graphs: A Survey," SIGMOD Record, Vol. 44, No. 3, pp. 37 ~ 48, Sept. 2015 (SCI Expanded, impact factor: 1.054). [pdf]

Journal

Lee, J., Han, J., and Li, X., "A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness," IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 27, No. 6, pp. 1478 ~ 1490, June 2015 (SCI Core, impact factor: 2.476). [pdf]

Journal

Lee, J. and Kang, M., "Geospatial Big Data: Challenges and Opportunities," Big Data Research, Vol. 2, No. 2, pp. 74 ~ 81, June 2015. [link]

Journal

Whang, K., Lee, J., Lee, M., Han, W., Kim, M., and Kim, J., "DB-IR Integration Using Tight-Coupling in the Odysseus DBMS," World Wide Web Journal, Vol. 18, No. 3, pp. 491 ~ 520, May 2015 (SCI Expanded, impact factor: 1.539). [link]

 

2010 ~ 2014

Conference

Lee, J., Attaluri, G., Barber, R., Chainani, N., Draese, O., Ho, F., Idreos, S., Kim, M., Lightstone, S., Lohman, G., Morfonios, K., Murthy, K., Pandis, I., Qiao, L., Raman, V., Samy, V. K., Sidle, R., Stolze, K., and Zhang, L., "Joins on Encoded and Partitioned Data," In Proc. 40th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. of The VLDB Endowment (PVLDB), Vol. 7, No. 13, pp. 1355 ~ 1366, Sept. 2014 (top conference, industrial track). [pdf] [ppt]

Conference

Choy, M., Lee, J., Gweon, G., and Kim, D., "Glaucus: Exploiting the Wisdom of Crowds for Location-Based Queries in Mobile Environments," In Proc. 8th Int'l AAAI Conf. on Weblogs and Social Media (ICWSM), Ann Arbor, Michigan, pp. 61 ~ 70, June 2014 (acceptance rate: 23.0%). [pdf]

Conference

Lim, S., Ryu, S., Kwon, S., Jung, K., and Lee, J., "LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation," In Proc. 30th Int'l Conf. on Data Engineering (IEEE ICDE), Chicago, Illinois, pp. 292~303, Apr. 2014 (top conference, acceptance rate: 20.0%). [pdf] [ppt]

Conference

Kim, S., Jung, W., Han, K., Lee, J., and Yi, M. Y., "Quality-based Automatic Classification for Presentation Slides," In Proc. 36th European Conf. on Information Retrieval (ECIR), Amsterdam, Netherlands, pp. 638~643, Apr. 2014 (short paper).

Conference

Moon, S., Lee, J., and Kang, M., "Scalable Community Detection from Networks by Computing Edge Betweenness on MapReduce," In Proc. 2014 Int'l Conf. on Big Data and Smart Computing (BigComp), Bangkok, Thailand, pp. 145 ~ 148, Jan. 2014. This paper received the Best Paper Award. [pdf]

Conference

Sung, J., Lee, J., and Lee, U., "Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services," In Proc. 7th Int'l AAAI Conf. on Weblogs and Social Media (ICWSM), Cambridge, Massachusetts, pp. 602 ~ 610, July 2013 (acceptance rate: 20.6%). This paper received the Best Paper Award. [pdf] [ppt]

Conference

Han, K., Yi, M. Y., Gweon, G., and Lee, J., "Understanding the Difficulty Factors for Learning Materials: A Qualitative Study," In Proc. 16th Int'l Conf. on Artificial Intelligence in Education (AIED), Memphis, Tennessee, pp. 615 ~ 618, July 2013 (short paper).

Conference

Oh, J., Kim, D., Lee, U., Lee, J., and Song, J., "Facilitating Developer-User Interactions with Mobile App Review Digests," In Proc. 2013 ACM Int'l Conf. on Human Factors in Computing Systems (CHI), Paris, France, pp. 1809 ~ 1814, May 2013 (top conference, works in progress).

Workshop

Sung, J., Moon, S., and Lee, J., "The Influence in Twitter: Are They Really Influenced?" In Proc. 2013 Workshop on Behavior and Social Informatics & Computing (LNAI 8178), Gold Coast, Australia, pp. 95 ~ 105, Apr. 2013.

Conference

Lee, S., Ko, M., Han, K., and Lee, J., "On Finding Fine-Granularity User Communities by Profile Decomposition," In Proc. 2012 IEEE/ACM Int'l Conf. on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, pp. 631 ~ 639, Aug. 2012 (full paper, acceptance rate: 16.0%). [pdf] [ppt]

Workshop

Barber, R., Bendel, P., Czech, M., Draese, O., Ho, F., Hrle, N., Idreos, S., Kim, M., Koeth, O., Lee, J., Li, T. T., Lohman, G., Morfonios, K., Muller, R., Murthy, K., Pandis, I., Qiao, L., Raman, V., Szabo, S., Sidle, R., and Stolze, K., "Blink: Not Your Father's Database!" In Proc. 5th Int'l Workshop on Enabling Real-Time Business Intelligence (BIRTE), Seattle, Washington, pp. 1 ~ 22, Sept. 2011.

Conference

Li, Z., Ji, M., Lee, J., Tang, L. A., Yu, Y., Han, J., and Kays, R., "MoveMine: Mining Moving Object Databases," In Proc. 2010 ACM Int'l Conf. on Management of Data (SIGMOD), Indianapolis, Indiana, pp. 1203 ~ 1206, June 2010 (top conference, demo paper). [pdf]

Conference

Li, Z., Lee, J., Li, X., and Han, J., "Incremental Clustering for Trajectories," In Proc. 15th Int'l Conf. on Database Systems for Advanced Applications (DASFAA), Tsukuba, Japan, pp. 32 ~ 46, Apr. 2010.

Journal

Choy, M., Sung, W., Lee, J., Yi, M. Y., and Park, Y., "On Exploiting Tag Information for Community Detection on Flickr," Information, Vol. 17, No. 10(A), pp. 5003 ~ 5008, Oct. 2014.

Journal

Barber, R., Bendel, P., Czech, M., Draese, O., Ho, F., Hrle, N., Idreos, S., Kim, M., Koeth, O., Lee, J., Li, T. T., Lohman, G., Morfonios, K., Muller, R., Murthy, K., Pandis, I., Qiao, L., Raman, V., Sidle, R., Stolze, K., and Szabo, S., "Business Analytics in (a) Blink," IEEE Data Engineering Bulletin, Vol. 35, No. 1, pp. 9 ~ 14, Mar. 2012.

Journal

Li, Z., Han, J., Ji, M., Tang, L. A., Yu, Y., Ding, B., Lee, J., and Kays, R., "MoveMine: Mining Moving Object Data for Discovery of Animal Movement Patterns," ACM Trans. on Intelligent Systems and Technology (TIST), Vol. 2, No. 4, pp. 37, July 2011 (SCI Expanded). [pdf]

Journal

Lee, J., Han, J., Li, X., and Cheng, H., "Mining Discriminative Patterns for Classifying Trajectories on Road Networks," IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 25, No. 5, pp. 713 ~ 726, May 2011 (SCI Core, impact factor: 1.657, 5-year impact factor: 2.084). [pdf] [ppt]

Journal

Whang, K., Lee, J., Kim, M., Lee, M., Lee, K., Han, W., and Kim, J., "Tightly-Coupled Spatial Database Features in the Odysseus/OpenGIS DBMS for High-Performance," GeoInformatica, Vol. 14, No. 4, pp. 425 ~ 446, Oct. 2010 (SCI Expanded, impact factor: 1.357). [pdf]

Book Chapter

Lee, J., "Geosocial Networking Services," In Kantola, J. and Karwowski, W., eds., Knowledge Service Engineering Handbook, CRC Press, May 2012.

 

Before 2010

Conference

Li, X., Li, Z., Han, J., and Lee, J., "Temporal Outlier Detection in Vehicle Traffic Data," In Proc. 25th Int'l Conf. on Data Engineering (IEEE ICDE), Shanghai, China, pp. 1319 ~ 1322, Apr. 2009 (top conference, short paper). [pdf]

Conference

Lee, J., Han, J., Li, X., and Gonzalez, H., "TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering," In Proc. 34th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. of The VLDB Endowment (PVLDB), Vol. 1, No. 1, pp. 1081 ~ 1094, Aug. 2008 (top conference, acceptance rate: 16.5%). [pdf] [ppt] [src code]

Conference

Li, X., Han, J., Yin, Z., Lee, J., and Sun, Y., "Sampling Cube: A Framework for Statistical OLAP over Sampling Data," In Proc. 2008 ACM Int'l Conf. on Management of Data (SIGMOD), Vancouver, Canada, pp. 779 ~ 790, June 2008 (top conference, acceptance rate: 17.9%). [pdf]

Conference

Lee, J., Han, J., and Li, X., "Trajectory Outlier Detection: A Partition-and-Detect Framework," In Proc. 24th Int'l Conf. on Data Engineering (IEEE ICDE), Cancun, Mexico, pp. 140 ~ 149, Apr. 2008 (top conference, full presentation paper, acceptance rate: 12.1%). [pdf] [ppt] [src code]

Conference

Li, X., Han, J., Lee, J., and Gonzalez, H., "Traffic Density-based Discovery of Hot Routes in Road Networks," In Proc. 10th Int'l Symp. on Spatial and Temporal Databases (SSTD), Boston, Massachusetts, pp. 441 ~ 459, July 2007. [pdf]

Conference

Lee, J., Han, J., and Whang, K., "Trajectory Clustering: A Partition-and-Group Framework," In Proc. 2007 ACM Int'l Conf. on Management of Data (SIGMOD), Beijing, China, pp. 593 ~ 604, June 2007 (top conference, acceptance rate: 14.6%). This paper is the most-cited paper on trajectory clustering. The number of citations is over 1600 as of June 2021. [pdf] [ppt] [src code]

Conference

Whang, K., Lee, J., Kim, M., Lee, M., and Lee, K., "Odysseus: a High-Performance ORDBMS Tightly-Coupled with Spatial Database Features," In Proc. 23rd Int'l Conf. on Data Engineering (IEEE ICDE), Istanbul, Turkey, pp. 1493 ~ 1494, Apr. 2007 (top conference, demo paper). [pdf]

Conference

Lim, H., Lee, J., Lee, M., Whang, K., and Song, I., "Continuous Query Processing in Data Streams Using Duality of Data and Queries," In Proc. 2006 ACM Int'l Conf. on Management of Data (SIGMOD), Chicago, Illinois, pp. 313 ~ 324, June 2006 (top conference, acceptance rate: 13.0%). [pdf]

Conference

Lee, K., Kim, S., Whang, E., and Lee, J., "A Practitioner's Approach to Normalizing XQuery Expressions," In Proc. 11th Int'l Conf. on Database Systems for Advanced Applications (DASFAA), Singapore, Singapore, pp. 437 ~ 453, Apr. 2006.

Conference

Kim, M., Whang, K., Lee, J., and Lee, M., "n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure," In Proc. 31st Int'l Conf. on Very Large Data Bases (VLDB), Trondheim, Norway, pp. 325 ~ 336, Aug. 2005 (top conference, acceptance rate: 16.5%). [pdf]

Conference

Whang, K., Lee, M., Lee, J., Kim, M., and Han, W., "Odysseus: a High-Performance ORDBMS Tightly-Coupled with IR Features," In Proc. 21st Int'l Conf. on Data Engineering (IEEE ICDE), Tokyo, Japan, pp. 1104 ~ 1105, Apr. 2005 (top conference). This paper received the Best Demonstration Award. [pdf]

Journal

Kim, M., Whang, K., Lee, J., and Lee, M., "Structural Optimization of a Full-Text n-Gram Index Using Relational Normalization," The VLDB Journal, Vol. 17, No. 6, pp. 1485 ~ 1507, Nov. 2008 (SCI Core, impact factor: 6.800). [pdf]

Journal

Kim, M., Whang, K., and Lee, J., "n-Gram/2L-Approximation: A Two-Level n-Gram Inverted Index Structure for Approximate String Matching," Journal of Computer Systems Science and Engineering, Vol. 22, No. 6, pp. 26 ~ 40, Nov. 2007 (SCI Expanded, impact factor: 0.370).

Journal

Lee, J., Whang, K., Han, W., and Song, I., "The Dynamic Predicate: Integrating Access Control with Query Processing in XML Databases," The VLDB Journal, Vol. 16, No. 3, pp. 371 ~ 387, July 2007 (SCI Core, impact factor: 3.818). [pdf]

Journal

Lee, J., Whang, K., Han, W., and Song, I., "Hippocratic XML Databases: A Model and an Access Control Mechanism," Journal of Computer Systems Science and Engineering, Vol. 21, No. 6, pp. 395 ~ 404, Nov. 2006 (SCI Expanded, impact factor: 0.186).

Journal

Lee, J. and Whang, K., "Secure Query Processing against Encrypted XML Data Using Query-Aware Decryption," Information Sciences, Vol. 176, No. 13, pp. 1928 ~ 1947, July 2006 (SCI Core, impact factor: 1.003, 5-year impact factor: 2.984). [pdf]

Journal

Woo, J., Lee, B., Lee, M., Lee, J., and Whang, K., "Transformation-Based Temporal Aggregation Using an Order-Based Buffer Replacement Strategy," Journal of Computer Systems Science and Engineering, Vol. 19, No. 1, pp. 3 ~ 10, Jan. 2004 (SCI Expanded, impact factor: 0.164).

Tutorial

Han, J., Lee, J., Gonzalez, H., and Li, X., "Mining Massive RFID, Trajectory, and Traffic Data Sets," In Proc. 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Aug. 24, 2008.

Book Chapter

Han, J., Lee, J., and Kamber, M., "An Overview of Clustering Methods in Geographic Data Analysis," In Miller, H. J. and Han, J., eds., Geographic Data Mining and Knowledge Discovery, 2nd ed., Chapman and Hall/CRC Press, May 2009.