Browse "School of Computing(전산학부)" by Author Lee, Jae-Gil
Showing results 1 to 60 of 83
| A Bird's Eye View of the 4th Industrial Revolution Technologies Whang, Kyu-Young; Lee, Jae-Gil; Lim, Hyo-Sang; Na, Inju, The Bulletin of the Technical Committee on Data Engineering, v.45, no.3, pp.4 - 16, 2022-09 |
| A Comparative Analysis of Iterative MapReduce Systems Kang, Minseo; Lee, Jae-Gil, 6th International Conference on Emerging Databases (EDB), pp.61 - 64, Korean Institute of Information Scientists and Engineers, 2016-10-17 |
| A systematic framework of predicting customer revisit with in-store sensors Kim, Sundong; Lee, Jae-Gil, KNOWLEDGE AND INFORMATION SYSTEMS, v.62, no.3, pp.1005 - 1035, 2020-03 |
Ada-boundary: accelerating DNN training via adaptive boundary batch selection Song, Hwanjun; Kim, Sundong; Kim, Minseok; Lee, Jae-Gil, MACHINE LEARNING, v.109, no.9, pp.1837 - 1853, 2020-09 |
| Adaptive eager-lazy hybrid evaluation of event patterns for low latency = 빠른 지연 시간을 위한 이벤트 패턴의 적응형 Eager-Lazy 하이브리드 평가link Yi, Ilyeop; 이일엽; 황규영; Lee, Jae-Gil; et al, 한국과학기술원, 2016 |
| Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream Yoon, Susik; Lee, Youngjun; Lee, Jae-Gil; Lee, Byung Suk, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022, pp.2347 - 2357, Association for Computing Machinery, 2022-08-16 |
| Advances in knowledge discovery and data mining: 21st Pacific-Asia conference, PAKDD 2017 Jeju, South Korea, may 23–26, 2017 proceedings, part II Kim, Jinho; Shim, Kyuseok; Cao, Longbing; Lee, Jae-Gil; Lin, Xuemin; Moon, Yang-Sae, 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2017, Springer Verlag, 2017-05 |
| An Effective Approach to Enhancing a Focused Crawler Using Google Lee, Jae-Gil; Bae, Donghwan; Kim, Sansung; Kim, Jungeun; Yi, Mun Yong, JOURNAL OF SUPERCOMPUTING, v.76, no.10, pp.8175 - 8192, 2020-10 |
| An Experimental Comparison of Iterative MapReduce Frameworks Lee, Haejoon; Kang, Minseo; Youn, Sun-Bum; Lee, Jae-Gil; Kwon, YongChul, 25th ACM Int'l on Conf. on Information and Knowledge Management (CIKM), pp.2089 - 2094, ACM Special Interest Group on Information Retrieval (SIGIR), 2016-10-26 |
| ANOVIZ: A Visual Inspection Tool of Anomalies in Multivariate Time Series Trirat, Patara; Nam, Youngeun; Kim, Taeyoon; Lee, Jae-Gil, 37th AAAI Conference on Artificial Intelligence, AAAI 2023, Association for the Advancement of Artificial Intelligence, 2023-02-12 |
| APAM: Adaptive Eager-Lazy Hybrid Evaluation of Event Patterns for Low Latency Yi, Ilyeop; Lee, Jae-Gil; Whang, Kyu-Young, 25th ACM Int'l Conf. on Information and Knowledge Management (CIKM), pp.2275 - 2280, ACM Special Interest Group on Information Retrieval (SIGIR), 2016-10-26 |
| Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-based Question Answering Services Sung, Juyup; Lee, Jae-Gil; Lee, Uichin, 7th Int'l AAAI Conf. on Weblogs and Social Media, pp.602 - 610, AAAI, 2013-07-10 |
| Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection Song, Hwanjun; Kim, MinSeok; KIM, Sundong; Lee, Jae-Gil, 29th ACM International Conference on Information and Knowledge Management (CIKM), pp.1385 - 1394, Association for Computing Machinery, 2020-10-23 |
| Coherence-based Label Propagation over Time Series for Accelerated Active Learning Shin, Yooju; Yoon, Susik; Kim, Sundong; Song, Hwanjun; Lee, Jae-Gil; Lee, Byung Suk, Tenth International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations (ICLR), 2022-04-28 |
| Context Consistency Regularization for Label Sparsity in Time Series Shin, Yooju; Yoon, Susik; Song, Hwanjun; Park, Dongmin; Kim, Byunghyun; Lee, Jae-Gil; Lee, Byung Suk, 40th International Conference on Machine Learning, ICML 2023, pp.31579 - 31595, ML Research Press, 2023-07-28 |
| Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses Nam, Youngeun; Trirat, Patara; Kim, Taeyoon; Lee, Youngseop; Lee, Jae-Gil, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023, pp.330 - 345, Springer Science and Business Media Deutschland GmbH, 2023-09-19 |
| COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies Kim, Doyoung; Min, Hyangsuk; Nam, Youngeun; Song, Hwanjun; Yoon, Susik; Kim, MinSeok; Lee, Jae-Gil, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.11971 - 11981, Association for the Advancement of Artificial Intelligence, 2022-02-25 |
| Data collection and quality challenges for deep learning Whang, Steven Euijong; Lee, Jae-Gil, International Conference on Very Large Data Bases (VLDB), pp.3429 - 3432, VLDB Endowment, 2020-09-02 |
| Data Collection and Quality Challenges for Deep Learning Whang, Steven Euijong; Lee, Jae-Gil, PROCEEDINGS OF THE VLDB ENDOWMENT, v.13, no.12, pp.3429 - 3432, 2020-08 |
| Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Whang, Steven Euijong; Roh, Yuji; Song, Hwanjun; Lee, Jae-Gil, VLDB JOURNAL, v.32, no.4, pp.791 - 813, 2023-07 |
| DB-IR integration using tight-coupling in the Odysseus DBMS Whang, Kyu-Young; Lee, Jae-Gil; Lee, Min-Jae; Han, Wook-Shin; Kim, Min-Soo; Kim, Jun Sung, WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, v.18, no.3, pp.491 - 520, 2015-05 |
| DF-TAR: A deep fusion network for citywide traffic accident risk prediction with dangerous driving behavior Trirat, Patara; Lee, Jae-Gil, 2021 World Wide Web Conference, WWW 2021, pp.1146 - 1156, Association for Computing Machinery, Inc, 2021-04-20 |
| Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices Jang, Gwangseon; Lee, Jin-woo; Lee, Jae-Gil; Liu, Yunxin, PERVASIVE AND MOBILE COMPUTING, v.64, 2020-04 |
| DTranNER: biomedical named entity recognition with deep learning-based label-label transition model Hong, Seungki; Lee, Jae-Gil, BMC BIOINFORMATICS, v.21, no.1, 2020-02 |
| The Dynamic Predicate: Integrating Access Control with Query Processing in XML Databases Lee, Jae-Gil; Whang, Kyu-Young; Han, Wook-Shin; Song, Il-Yeol, The VLDB Journal, Vol.16, No.3, pp.371-387, 2007 |
| Effect of garbage collection in iterative algorithms on Spark: an experimental analysis Kang, Minseo; Lee, Jae-Gil, JOURNAL OF SUPERCOMPUTING, v.76, no.9, pp.7204 - 7218, 2020-09 |
| Efficient Fall Detection Based on Event Pattern Matching in Image Streams Kang, Hyun-Gook; Kang, Minseo; Lee, Jae-Gil, IEEE International Conference on Big Data and Smart Computing (BigComp), pp.51 - 58, Korean Institute of Information Scientists and Engineers, 2017-02-14 |
| Explaining time series anomaly detection by examples = 예시를 이용한 시계열 이상치 탐지 설명link Kim, Taeyoon; Lee, Jae-Gil; et al, 한국과학기술원, 2023 |
| Exploiting Scene Depth for Object Detection with Multimodal Transformers Song, Hwanjun; Kim, Eunyoung; Jampan, Varun; Sun, Deqing; Lee, Jae-Gil; Yang, Ming-Hsuan, 32nd British Machine Vision Conference, pp.1 - 14, British Machine Vision Association (BMVA), 2021-11-24 |
| Facilitating developer-user interactions with mobile app review digests Oh, Jeungmin; Kim, Daehoon; Lee, Uichin; Song, Junehwa; Lee, Jae-Gil, 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, pp.1809 - 1814, ACM, 2013-05-21 |
| Friend recommendation with a target user in social networking services Kim, Sundong; Lee, Jae-Gil, 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015, pp.235 - 239, IEEE Computer Society, 2015-04 |
| Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection Kim, Jungeun; Lee, Jae-Gil; Lee, Byung Suk; Liu, Jiajun, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, v.11, no.4, pp.1 - 26, 2020-07 |
| Glaucus: Exploiting the Wisdom of Crowds for Location-Based Queries in Mobile Environments Choy, Minsoo; Lee, Jae-Gil; Gweon, Gahgene; Kim, Daehoon, 8th Int'l AAAI Conf. on Weblogs and Social Media, pp.61 - 70, AAAI, 2014-06-02 |
| Hello There! Is Now a Good Time to Talk?: Opportune Moments for Proactive Interactions with Smart Speakers Cha, Narae; Kim, Auk; Park, Cheul Young; Kang, Soowon; Park, Mingyu; Lee, Jae-Gil; Lee, Sangsu; et al, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v.4, no.3, pp.1 - 28, 2020-09 |
| Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea Kim, MinSeok; Kang, Junkyeok; Kim, Doyoung; Song, Hwanjun; Min, Hyangsuk; Nam, Youngeun; Park, Dongmin; et al, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.3466 - 3473, Association for Computing Machinery, 2020-08-24 |
| Hippocratic XML databases: a model and an access control mechanism Lee, Jae-Gil; Whang, Kyu-Young; Han, Wook-Shin; Song, Il-Yeol, COMPUTER SYSTEMS SCIENCE AND ENGINEERING, v.21, pp.395 - 404, 2006-11 |
| Joins on encoded and partitioned data Lee, Jae-Gil; Attaluri, Gopi; Barber, Ronald; Chainani, Naresh; Draese, Oliver; Ho, Frederick; Idreos, Stratos; et al, 40th International Conference on Very Large Data Bases, VLDB 2014, pp.1355 - 1366, ACM SIGMOD and VLDB Endowment, 2014-09-02 |
| Learning From Noisy Labels With Deep Neural Networks: A Survey Song, Hwanjun; Kim, Minseok; Park, Dongmin; Shin, Yooju; Lee, Jae-Gil, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.34, no.11, pp.8135 - 8153, 2023-11 |
| LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation Lim, Sungsu; Ryu, Seungwoo; Kwon, Sejeong; Jung, Kyomin; Lee, Jae-Gil, 30th Int'l Conf. on Data Engineering, pp.292 - 303, IEEE, 2014-04-01 |
| Looking Back on the Current Day: Interruptibility Prediction Using Daily Behavioral Features Choy, Minsoo; Kim, Daehoon; Lee, Jae-Gil; Kim, Heeyoung; Motoda, Hirosh, 2016 ACM Int'l Joint Conf. on Pervasive and Ubiquitous Computing (UbiComp), pp.1004 - 1015, ACM SIGCHI AND SIGMOBILE, 2016-09-16 |
| Machine Learning Robustness, Fairness, and their Convergence Lee, Jae-Gil; Roh, Yuji; Song, Hwanjun; Whang, Steven Euijong, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.4046 - 4047, Association for Computing Machinery, 2021-08-14 |
| Meta-Learning for Online Update of Recommender Systems Kim, MinSeok; Song, Hwanjun; Shin, Yooju; Park, Dongmin; Shin, Kijung; Lee, Jae-Gil, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.4065 - 4074, Association for the Advancement of Artificial Intelligence, 2022-02-25 |
| Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Park, Dongmin; Shin, Yooju; Bang, Jihwan; Lee, Youngjun; Song, Hwanjun; Lee, Jae-Gil, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-12-01 |
| Method and apparatus for predicting imported infectious disease information based on deep neural networks Lee, Jae-Gil; Kim, MinSeok; Kang, Junhyeok; Kim, Doyoung; Song, Hwanjun; Min, Hyangsuk; Nam, Youngeun; et al |
| MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction Trirat, Patara; Yoon, Susik; Lee, Jae-Gil, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.24, no.4, pp.3779 - 3794, 2023-04 |
| Motif-based embedding for graph clustering Lim, Sungsu; Lee, Jae-Gil, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2016-12 |
| MoveMine: mining moving object databases Li, Zhenhui; Ji, Ming; Lee, Jae-Gil; Tang, Lu-An; Yu, Yintao; Han, Jiawei; Kays, Roland, ACM SIGMOD International Conference on Management of Data, pp.1203 - 1206, Association for Computing Machinery, 2010-06-10 |
| Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases Park, Dongmin; Kang, Junhyeok; Song, Hwanjun; Yoon, Susik; Lee, Jae-Gil, 22nd IEEE International Conference on Data Mining, ICDM 2022, pp.1137 - 1142, IEEE, 2022-11-30 |
| n-Gram/2L-approximation: a two-level n-gram inverted index structure for approximate string matching Kim, Min Soo; Whang, Kyu-Young; Lee, Jae-Gil, COMPUTER SYSTEMS SCIENCE AND ENGINEERING, v.22, pp.365 - 379, 2007-11 |
| n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure Kim, Min-Soo; Whang, Kyu-Young; Lee, Jae-Gil; Lee, Min-Jae, 31st Int'l Conf. on Very Large Data Bases, pp.325 - 336, VLDB Endowment, 2005-09-01 |
| NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing Yoon, Susik; Lee, Jae-Gil; Lee, Byung Suk, PROCEEDINGS OF THE VLDB ENDOWMENT, v.12, no.11, pp.1303 - 1315, 2019-07 |
| Odysseus: A high-performance ORDBMS tightly-coupled with IR features Whang, Kyu-Young; Lee, Min-Jae; Lee, Jae-Gil; Kim, Min-Soo; Han, Wook-Shin, 21st International Conference on Data Engineering, ICDE 2005, pp.1104 - 1105, IEEE, 2005-04-05 |
| Odysseus: A high-Performance ORDBMS tightly-coupled with spatial database features Whang, Kyu-Young; Lee, Jae-Gil; Kim, Min-Soo; Lee, Min-Jae; Lee, Ki-Hoon, 23rd International Conference on Data Engineering, ICDE 2007, pp.1493 - 1494, IEEE, 2007-04-15 |
| Odysseus: a High-Performance ORDBMS Tightly-Coupled with Spatial Database Features Whang, Kyu-Young; Lee, Jae-Gil; Kim, Min-Soo; Lee, Min-Jae; Lee, Ki-Hoon, 23rd IEEE Int'l Conf. on Data Engineering (ICDE), pp.1493 - 1494, IEEE Computer Society, 2007-04-17 |
| On Finding Fine-Granularity User Communities by Profile Decomposition 이슬기; Ko, Minsam; Han, Keejun; Lee, Jae-Gil, Int'l Conf. on Advances in Social Networks Analysis and Mining, pp.631 - 639, IEEE/ACM, 2012-08-28 |
| PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency Song, Hwanjun; Lee, Jae-Gil; Han, Wook-Shin, 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.1087 - 1096, ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 2017-08-14 |
| PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation Kim, Minseok; Song, Hwanjun; Kim, Doyoung; Shin, Kijung; Lee, Jae-Gil, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.4164 - 4171, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02-04 |
| PTEM: A POPULARITY-BASED TOPICAL EXPERTISE MODEL FOR COMMUNITY QUESTION ANSWERING Jung, Hohyun; Lee, Jae-Gil; Lee, Namgil; Kim, Sung-Ho, ANNALS OF APPLIED STATISTICS, v.14, no.3, pp.1304 - 1325, 2020-09 |
| Quality-Based Automatic Classification for Presentation Slides Kim, Seongchan; Jung, Wonchul; Han, Keejun; Lee, Jae-Gil; Yi, Mun Yong, 36th European Conf. on Information Retrieval , pp.638 - 643, University of Amsterdam, 2014-04-15 |
| Revisit Prediction by Deep Survival Analysis Kim, Sundong; Song, Hwanjun; Kim, Sejin; Kim, Beomyoung; Lee, Jae-Gil, 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, pp.514 - 526, Springer, 2020-05-14 |
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