Jongwuk Lee

Orcid: 0000-0001-9213-7706

According to our database1, Jongwuk Lee authored at least 71 papers between 2007 and 2024.

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Bibliography

2024
Self-supervised Multimodal Graph Convolutional Network for collaborative filtering.
Inf. Sci., January, 2024

2023
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks.
Inf. Sci., July, 2023

CoMix: Collaborative filtering with mixup for implicit datasets.
Inf. Sci., May, 2023

It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

ConQueR: Contextualized Query Reduction using Search Logs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

It Ain't Over: A Multi-aspect Diverse Math Word Problem Dataset.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GLEN: Generative Retrieval via Lexical Index Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Forgetting-aware Linear Bias for Attentive Knowledge Tracing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Toward a Better Understanding of Loss Functions for Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

CompeteNet: Siamese Networks for Predicting Win-Loss Outcomes in Baseball Games.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022
Large-scale tucker Tensor factorization for sparse and accurate decomposition.
J. Supercomput., 2022

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation.
Knowl. Inf. Syst., 2022

S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks.
CoRR, 2022

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Bilateral Self-unbiased Learning from Biased Implicit Feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Logit Mixing Training for More Reliable and Accurate Prediction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Abstractive Summarization of Korean Legal Cases using Pre-trained Language Models.
Proceedings of the 16th International Conference on Ubiquitous Information Management and Communication, 2022

Long-tail Mixup for Extreme Multi-label Classification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Optimizing Read Operations of Hadoop Distributed File System on Heterogeneous Storages.
J. Inf. Sci. Eng., 2021

Distilling from professors: Enhancing the knowledge distillation of teachers.
Inf. Sci., 2021

Session-aware Linear Item-Item Models for Session-based Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Local Collaborative Autoencoders.
Proceedings of the WSDM '21, 2021

Dual Unbiased Recommender Learning for Implicit Feedback.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

An Empirical Study for Class Imbalance in Extreme Multi-label Text Classification.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

2020
Decoupled word embeddings using latent topics.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Diversity regularized autoencoders for text generation.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Analyzing Deep Neural Networks with Noisy Labels.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019
l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items.
IEEE Trans. Knowl. Data Eng., 2019

CrowdStart: Warming up cold-start items using crowdsourcing.
Expert Syst. Appl., 2019

Dual Neural Personalized Ranking.
Proceedings of the World Wide Web Conference, 2019

Characterization and Early Detection of Evergreen News Articles.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Collaborative Distillation for Top-N Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions.
Inf. Sci., 2018

MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation.
Proceedings of the ACM Recommender Systems Challenge, 2018

2017
CrowdK: Answering top-k queries with crowdsourcing.
Inf. Sci., 2017

IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Improving the accuracy of top-N recommendation using a preference model.
Inf. Sci., 2016

Optimizing skyline queries over incomplete data.
Inf. Sci., 2016

Analyzing crowdsourced promotion effects in online social networks.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

"Told you i didn't like it": Exploiting uninteresting items for effective collaborative filtering.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

CrowdSky: Skyline Computation with Crowdsourcing.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2014
Toward efficient multidimensional subspace skyline computation.
VLDB J., 2014

Toward Scalable Indexing for Top-k Queries.
IEEE Trans. Knowl. Data Eng., 2014

Skyline ranking for uncertain databases.
Inf. Sci., 2014

Efficient entity matching using materialized lists.
Inf. Sci., 2014

Scalable skyline computation using a balanced pivot selection technique.
Inf. Syst., 2014

2013
Hybrid entity clustering using crowds and data.
VLDB J., 2013

Fria: fast and robust instance alignment.
Proceedings of the 22nd International World Wide Web Conference, 2013

2012
Interactive skyline queries.
Inf. Sci., 2012

Supporting efficient distributed skyline computation using skyline views.
Inf. Sci., 2012

Efficient Dual-Resolution Layer Indexing for Top-k Queries.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Scalable entity matching computation with materialization.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
VSkyline: vectorization for efficient skyline computation.
SIGMOD Rec., 2010

QSkycube: Efficient Skycube Computation using Point-Based Space Partitioning.
Proc. VLDB Endow., 2010

Navigation system for product search.
Proceedings of the 26th International Conference on Data Engineering, 2010

BSkyTree: scalable skyline computation using a balanced pivot selection.
Proceedings of the EDBT 2010, 2010

2009
Personalized top-k skyline queries in high-dimensional space.
Inf. Syst., 2009

Query result clustering for object-level search.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

SkyTree: scalable skyline computation for sensor data.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Skyline View: Efficient Distributed Subspace Skyline Computation.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008
Ranking with tagging as quality indicators.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Optimal Preference Elicitation for Skyline Queries over Categorical Domains.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2007
Supporting personalized top-k skyline queries using partial compressed skycube.
Proceedings of the 9th ACM International Workshop on Web Information and Data Management (WIDM 2007), 2007

Telescope: Zooming to Interesting Skylines.
Proceedings of the Advances in Databases: Concepts, 2007


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