Telescope: Zooming to Interesting Skylines. - Jongwuk Lee; Gae-won You; Seung-won Hwang (DASFAA, 2007)

Supporting personalized top-k skyline queries using partial compressed skycube. - Jongwuk Lee; Gae-won You; IkChan Sohn; Seung-won Hwang; Kwangil Ko; Zino Lee (WIDM, 2007)

Optimal Preference Elicitation for Skyline Queries over Categorical Domains. - Jongwuk Lee; Gae-won You; Seung-won Hwang; Joachim Selke; Wolf-Tilo Balke (DEXA, 2008)

Ranking with tagging as quality indicators. - Jongwuk Lee; Seung-won Hwang (SAC, 2008)

Skyline View: Efficient Distributed Subspace Skyline Computation. - Jinhan Kim; Jongwuk Lee; Seung-won Hwang (DaWaK, 2009)

SkyTree: scalable skyline computation for sensor data. - Jongwuk Lee; Seung-won Hwang (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Query result clustering for object-level search. - Jongwuk Lee; Seung-won Hwang; Zaiqing Nie; Ji-Rong Wen (KDD, 2009)

Personalized top-k skyline queries in high-dimensional space. - Jongwuk Lee; Gae-won You; Seung-won Hwang (Inf. Syst., 2009)

BSkyTree: scalable skyline computation using a balanced pivot selection. - Jongwuk Lee; Seung-won Hwang (EDBT, 2010)

Navigation system for product search. - Jongwuk Lee; Seung-won Hwang; Zaiqing Nie; Ji-Rong Wen (ICDE, 2010)

QSkycube: Efficient Skycube Computation using Point-Based Space Partitioning. - Jongwuk Lee; Seung-won Hwang (Proc. VLDB Endow., 2010)

VSkyline: vectorization for efficient skyline computation. - Sung-Ryoung Cho; Jongwuk Lee; Seung-won Hwang; Hwansoo Han; Sang-Won Lee 001 (SIGMOD Rec., 2010)

Scalable entity matching computation with materialization. - Sanghoon Lee; Jongwuk Lee; Seung-won Hwang (CIKM, 2011)

Efficient Dual-Resolution Layer Indexing for Top-k Queries. - Jongwuk Lee; Hyunsouk Cho; Seung-won Hwang (ICDE, 2012)

Supporting efficient distributed skyline computation using skyline views. - Jongwuk Lee; Jinhan Kim; Seung-won Hwang (Inf. Sci., 2012)

Interactive skyline queries. - Jongwuk Lee; Gae-won You; Seung-won Hwang; Joachim Selke; Wolf-Tilo Balke (Inf. Sci., 2012)

Fria: fast and robust instance alignment. - Sanghoon Lee; Jongwuk Lee; Seung-won Hwang (WWW (Companion Volume), 2013)

Hybrid entity clustering using crowds and data. - Jongwuk Lee; Hyunsouk Cho; Jin-Woo Park; Young-rok Cha; Seung-won Hwang; Zaiqing Nie; Ji-Rong Wen (VLDB J., 2013)

Scalable skyline computation using a balanced pivot selection technique. - Jongwuk Lee; Seung-won Hwang (Inf. Syst., 2014)

Efficient entity matching using materialized lists. - Sanghoon Lee; Jongwuk Lee; Seung-won Hwang (Inf. Sci., 2014)

Skyline ranking for uncertain databases. - Hyountaek Yong; Jongwuk Lee; Jinha Kim; Seung-won Hwang (Inf. Sci., 2014)

Toward Scalable Indexing for Top-k Queries. - Jongwuk Lee; Hyunsouk Cho; Sunyou Lee; Seung-won Hwang (IEEE Trans. Knowl. Data Eng., 2014)

Toward efficient multidimensional subspace skyline computation. - Jongwuk Lee; Seung-won Hwang (VLDB J., 2014)

CrowdSky: Skyline Computation with Crowdsourcing. - Jongwuk Lee; Dongwon Lee 001; Sang-Wook Kim (EDBT, 2016)

"Told you i didn't like it": Exploiting uninteresting items for effective collaborative filtering. - Won-Seok Hwang; Juan Parc; Sang-Wook Kim; Jongwuk Lee; Dongwon Lee 001 (ICDE, 2016)

Analyzing crowdsourced promotion effects in online social networks. - Hee-Jeong Kim; Dong-Kyu Chae; Sang-Wook Kim; Jongwuk Lee (SAC, 2016)

Optimizing skyline queries over incomplete data. - Jongwuk Lee; Hyeonseung Im; Gae-won You (Inf. Sci., 2016)

Improving the accuracy of top-N recommendation using a preference model. - Jongwuk Lee; Dongwon Lee 001; Yeon-Chang Lee; Won-Seok Hwang; Sang-Wook Kim (Inf. Sci., 2016)

IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering. - Jae-woong Lee; Jongwuk Lee (CIKM, 2017)

CrowdK: Answering top-k queries with crowdsourcing. - Jongwuk Lee; Dongwon Lee 001; Seung-won Hwang (Inf. Sci., 2017)

MMCF: Multimodal Collaborative Filtering for Automatic Playlist Continuation. - Hojin Yang; Yoonki Jeong; Minjin Choi 001; Jongwuk Lee (RecSys Challenge, 2018)

Crowdsourced promotions in doubt: Analyzing effective crowdsourced promotions. - Hee-Jeong Kim; Jongwuk Lee; Dong-Kyu Chae; Sang-Wook Kim (Inf. Sci., 2018)

Collaborative Distillation for Top-N Recommendation. - Jae-woong Lee; Minjin Choi 001; Jongwuk Lee; Hyunjung Shim (ICDM, 2019)

Characterization and Early Detection of Evergreen News Articles. - Yiming Liao; Shuguang Wang; Eui-Hong Sam Han; Jongwuk Lee; Dongwon Lee 001 (ECML/PKDD (3), 2019)

Dual Neural Personalized Ranking. - Seunghyeon Kim; Jongwuk Lee; Hyunjung Shim (WWW, 2019)

CrowdStart: Warming up cold-start items using crowdsourcing. - Dong-Gyun Hong; Yeon-Chang Lee; Jongwuk Lee; Sang-Wook Kim (Expert Syst. Appl., 2019)

l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items. - Jongwuk Lee; Won-Seok Hwang; Juan Parc; Youngnam Lee; Sang-Wook Kim; Dongwon Lee 001 (IEEE Trans. Knowl. Data Eng., 2019)

Analyzing Deep Neural Networks with Noisy Labels. - Chan Lim; Sangwoo Han; Jongwuk Lee (BigComp, 2020)

Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision. - Jae-woong Lee; Young-In Song; Deokmin Haam; Sanghoon Lee; Woo-Sik Choi; Jongwuk Lee (CIKM, 2020)

Diversity regularized autoencoders for text generation. - Hyeseon Ko; Junhyuk Lee; Jinhong Kim; Jongwuk Lee; Hyunjung Shim (SAC, 2020)

Decoupled word embeddings using latent topics. - Heesoo Park; Jongwuk Lee (SAC, 2020)

An Empirical Study for Class Imbalance in Extreme Multi-label Text Classification. - Sangwoo Han; Chan Lim; Bonggeon Cha; Jongwuk Lee (BigComp, 2021)

Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation. - Seungho Lee; Minhyun Lee; Jongwuk Lee; Hyunjung Shim (CVPR, 2021)

MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories. - Minjin Choi 001; Sunkyung Lee 001; Eunseong Choi; Heesoo Park; Junhyuk Lee; Dongwon Lee 001; Jongwuk Lee (NAACL-HLT, 2021)

Dual Unbiased Recommender Learning for Implicit Feedback. - Jae-woong Lee; Seongmin Park 002; Jongwuk Lee (SIGIR, 2021)

Local Collaborative Autoencoders. - Minjin Choi 001; Yoonki Jeong; Joonseok Lee; Jongwuk Lee (WSDM, 2021)

Session-aware Linear Item-Item Models for Session-based Recommendation. - Minjin Choi 001; Jinhong Kim; Joonseok Lee; Hyunjung Shim; Jongwuk Lee (WWW, 2021)

Distilling from professors: Enhancing the knowledge distillation of teachers. - Duhyeon Bang; Jongwuk Lee; Hyunjung Shim (Inf. Sci., 2021)

Optimizing Read Operations of Hadoop Distributed File System on Heterogeneous Storages. - Jongbaeg Lee; Jongwuk Lee; Sang-Won Lee 001 (J. Inf. Sci. Eng., 2021)

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval. - Eunseong Choi; Sunkyung Lee 001; Minjin Choi 001; Hyeseon Ko; Young-In Song; Jongwuk Lee (CIKM, 2022)

Long-tail Mixup for Extreme Multi-label Classification. - Sangwoo Han; Eunseong Choi; Chan Lim; Hyunjung Shim; Jongwuk Lee (CIKM, 2022)

Abstractive Summarization of Korean Legal Cases using Pre-trained Language Models. - Jiyoung Yoon; Muhammad Junaid; Sajid Ali 006; Jongwuk Lee (IMCOM, 2022)

Logit Mixing Training for More Reliable and Accurate Prediction. - Duhyeon Bang; Kyungjune Baek; Jiwoo Kim; Yunho Jeon; Jin-Hwa Kim; Jiwon Kim; Jongwuk Lee; Hyunjung Shim (IJCAI, 2022)

Bilateral Self-unbiased Learning from Biased Implicit Feedback. - Jae-woong Lee; Seongmin Park 002; Joonseok Lee; Jongwuk Lee (SIGIR, 2022)

FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation. - Donghyoung Han; Jongwuk Lee; Min-Soo Kim 002 (SIGMOD Conference, 2022)

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. - Minjin Choi 001; Jinhong Kim; Joonseok Lee; Hyunjung Shim; Jongwuk Lee (WSDM, 2022)

S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. - Minjin Choi 001; Jinhong Kim; Joonseok Lee; Hyunjung Shim; Jongwuk Lee (CoRR, 2022)

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation. - Jae-woong Lee; Minjin Choi 001; Lee Sael; Hyunjung Shim; Jongwuk Lee (Knowl. Inf. Syst., 2022)

Large-scale tucker Tensor factorization for sparse and accurate decomposition. - Jun-Gi Jang; Moonjeong Park; Jongwuk Lee; Lee Sael (J. Supercomput., 2022)

CompeteNet: Siamese Networks for Predicting Win-Loss Outcomes in Baseball Games. - Kyeongjin Mun; Bonggeon Cha; Jongwuk Lee; Jihyeon Kim; Hyuncheol Jo (BigComp, 2023)

Toward a Better Understanding of Loss Functions for Collaborative Filtering. - Seongmin Park 002; Mincheol Yoon; Jae-woong Lee; Hogun Park; Jongwuk Lee (CIKM, 2023)

Forgetting-aware Linear Bias for Attentive Knowledge Tracing. - Yoonjin Im; Eunseong Choi; Heejin Kook; Jongwuk Lee (CIKM, 2023)

GLEN: Generative Retrieval via Lexical Index Learning. - Sunkyung Lee 001; Minjin Choi 001; Jongwuk Lee (EMNLP, 2023)

It Ain't Over: A Multi-aspect Diverse Math Word Problem Dataset. - Jiwoo Kim; Youngbin Kim; Ilwoong Baek; JinYeong Bak; Jongwuk Lee (EMNLP, 2023)

ConQueR: Contextualized Query Reduction using Search Logs. - Hye-young Kim; Minjin Choi 001; Sunkyung Lee 001; Eunseong Choi; Young-In Song; Jongwuk Lee (SIGIR, 2023)

uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering. - Jae-woong Lee; Seongmin Park 002; Mincheol Yoon; Jongwuk Lee (SIGIR, 2023)

It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation. - Jaewan Moon; Hye-young Kim; Jongwuk Lee (SIGIR, 2023)

CoMix: Collaborative filtering with mixup for implicit datasets. - Jaewan Moon; Yoonki Jeong; Dong-Kyu Chae; Jaeho Choi; Hyunjung Shim; Jongwuk Lee (Inf. Sci., 2023)

Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks. - Daejin Kim; Min-Soo Kim 002; Hyunjung Shim; Jongwuk Lee (Inf. Sci., 2023)

Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation. - Minhyun Lee; Seungho Lee; Jongwuk Lee; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation. - Hyunsoo Kim; Junyoung Kim 001; Minjin Choi 001; Sunkyung Lee 001; Jongwuk Lee (CIKM, 2024)

From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression. - Eunseong Choi; Sunkyung Lee 001; Minjin Choi 001; June Park; Jongwuk Lee (EMNLP (Findings), 2024)

Multi-Granularity Guided Fusion-in-Decoder. - Eunseong Choi; Hyeri Lee; Jongwuk Lee (NAACL-HLT (Findings), 2024)

Multi-intent-aware Session-based Recommendation. - Minjin Choi 001; Hye-young Kim; Hyunsouk Cho; Jongwuk Lee (SIGIR, 2024)

Self-supervised Multimodal Graph Convolutional Network for collaborative filtering. - Sungjune Kim; Seongjun Yun; Jongwuk Lee; Gyusam Chang; Wonseok Roh; Dae-Neung Sohn; Jung-Tae Lee; Hogun Park; Sangpil Kim (Inf. Sci., 2024)

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion. - Sunkyung Lee 001; Minjin Choi 001; Eunseong Choi; Hye-young Kim; Jongwuk Lee (ACL (1), 2025)

HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval. - Sungho Park; Joohyung Yun; Jongwuk Lee; Wook-Shin Han (ACL (1), 2025)

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences. - Heejin Kook; Junyoung Kim 001; Seongmin Park 002; Jongwuk Lee (NAACL (Long Papers), 2025)

Linear Item-Item Models with Neural Knowledge for Session-based Recommendation. - Minjin Choi 001; Sunkyung Lee 001; Seongmin Park 002; Jongwuk Lee (SIGIR, 2025)

Why is Normalization Necessary for Linear Recommenders? - Seongmin Park 002; Mincheol Yoon; Hye-young Kim; Jongwuk Lee (SIGIR, 2025)

DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation. - Hye-young Kim; Minjin Choi 001; Sunkyung Lee 001; Ilwoong Baek; Jongwuk Lee (SIGIR, 2025)

Temporal Linear Item-Item Model for Sequential Recommendation. - Seongmin Park 002; Mincheol Yoon; Minjin Choi 001; Jongwuk Lee (WSDM, 2025)

DUET: Dually guided knowledge distillation from explicit feedback. - Hong-Kyun Bae; Jiyeon Kim; Jongwuk Lee; Sang-Wook Kim (Inf. Fusion, 2025)

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation. - Minjin Choi 001; Sunkyung Lee 001; Seongmin Park 002; Jongwuk Lee (CoRR, 2025)

LLM-Enhanced Linear Autoencoders for Recommendation. - Jaewan Moon; Seongmin Park 002; Jongwuk Lee (CoRR, 2025)

MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation. - Ilwoong Baek; Mincheol Yoon; Seongmin Park 002; Jongwuk Lee (CoRR, 2025)

Conflict-Aware Soft Prompting for Retrieval-Augmented Generation. - Eunseong Choi; June Park; Hyeri Lee; Jongwuk Lee (CoRR, 2025)