| 2026 | AAAI | Harmonic Dataset Distillation for Time Series Forecasting. | Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu |
| 2026 | ACL | COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs. | Dasol Choi, DongGeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, Haon Park, Hwanjo Yu, Minsuk Kahng |
| 2026 | ACL | Valid Necessary: Diagnosing Latent Inefficiency in Chain-of-Thought. | DaeYeop Lee, Hwanjo Yu |
| 2026 | EACL | Exploring Iterative Controllable Summarization with Large Language Models. | Sangwon Ryu, Heejin Do, Daehui Kim, Hwanjo Yu, Dongwoo Kim, Yunsu Kim, Gary Lee, Jungseul Ok |
| 2026 | WWW | Dynamic Multi-period Experts for Online Time Series Forecasting. | Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu |
| 2026 | WWW | PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. | Wonbin Kweon, Runchu Tian, Seongku Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu |
| 2026 | SIGIR | FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation. | WooJoo Kim, JunYoung Kim, Jaehyung Lim, SeongJin Choi, SeongKu Kang, Hwanjo Yu |
| 2026 | SIGIR | Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders. | Jaehyun Lee, Sanghwan Jang, Seongku Kang, Hwanjo Yu |
| 2026 | WSDM | Capturing User Interests from Data Streams for Continual Sequential Recommendation. | Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu |
| 2025 | ACL | Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning. | Joonwon Jang, Jaehee Kim, Wonbin Kweon, Seonghyeon Lee, Hwanjo Yu |
| 2025 | CIKM | Federated Continual Recommendation. | Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu |
| 2025 | EMNLP | Topic Coverage-based Demonstration Retrieval for In-Context Learning. | Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu |
| 2025 | EMNLP | How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. | Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu |
| 2025 | EMNLP | StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models. | Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu |
| 2025 | EMNLP | Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study. | DongGeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu |
| 2025 | KDD | Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences. | Gwangseok Han, Wonbin Kweon, Minsoo Kim, Hwanjo Yu |
| 2025 | KDD | Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. | Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu |
| 2025 | WWW | Uncertainty Quantification and Decomposition for LLM-based Recommendation. | Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu |
| 2025 | WWW | Collaborative Diffusion Model for Recommender System. | Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li |
| 2025 | WSDM | Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. | SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2024 | AAAI | Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. | Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu |
| 2024 | COLING | KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. | Seongbo Jang, Seonghyeon Lee, Hwanjo Yu |
| 2024 | CVPR | Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. | Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu |
| 2024 | EMNLP | Taxonomy-guided Semantic Indexing for Academic Paper Search. | SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2024 | EMNLP | Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. | Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu |
| 2024 | KDD | Continual Collaborative Distillation for Recommender System. | Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu |
| 2024 | NAACL | Rectifying Demonstration Shortcut in In-Context Learning. | Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu |
| 2024 | NAACL | Exploring Language Model's Code Generation Ability with Auxiliary Functions. | Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu |
| 2024 | WWW | Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. | SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han |
| 2024 | WWW | Top-Personalized-K Recommendation. | Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2024 | WWW | Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. | Wonbin Kweon, Hwanjo Yu |
| 2024 | SIGIR | Multi-Domain Sequential Recommendation via Domain Space Learning. | Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2023 | AAAI | Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. | Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu |
| 2023 | AAAI | Learning Topology-Specific Experts for Molecular Property Prediction. | Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu |
| 2023 | WWW | Distillation from Heterogeneous Models for Top-K Recommendation. | SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu |
| 2022 | AAAI | Obtaining Calibrated Probabilities with Personalized Ranking Models. | Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2022 | ACL | Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. | Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu |
| 2022 | CIKM | Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. | Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu |
| 2022 | EMNLP | Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. | Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu |
| 2022 | EMNLP | Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. | Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han |
| 2022 | WWW | Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. | Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu |
| 2022 | WWW | TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. | Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu |
| 2021 | AAAI | Learnable Dynamic Temporal Pooling for Time Series Classification. | Dongha Lee, Seonghyeon Lee, Hwanjo Yu |
| 2021 | ACL | OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification. | Seonghyeon Lee, Dongha Lee, Hwanjo Yu |
| 2021 | ICCV | Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. | Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu |
| 2021 | ICDM | Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. | Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu |
| 2021 | ICDM | Learnable Structural Semantic Readout for Graph Classification. | Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2021 | KDD | Topology Distillation for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2021 | WWW | Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. | Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu |
| 2021 | WWW | Bidirectional Distillation for Top-K Recommender System. | Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2021 | SIGIR | Unsupervised Proxy Selection for Session-based Recommender Systems. | Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu |
| 2021 | SIGIR | Bootstrapping User and Item Representations for One-Class Collaborative Filtering. | Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu |
| 2020 | AAAI | Unsupervised Attributed Multiplex Network Embedding. | Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu |
| 2020 | CIKM | DE-RRD: A Knowledge Distillation Framework for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2020 | COLING | Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. | Dongmin Hyun, Junsu Cho, Hwanjo Yu |
| 2020 | ICDM | Interest Sustainability-Aware Recommender System. | Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu |
| 2020 | IJCAI | Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. | Sehun Yu, Dongha Lee, Hwanjo Yu |
| 2020 | ICPR | Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. | Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi |
| 2020 | KDD | Multi-Class Data Description for Out-of-distribution Detection. | Dongha Lee, Sehun Yu, Hwanjo Yu |
| 2020 | KDD | Unsupervised Differentiable Multi-aspect Network Embedding. | Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han |
| 2020 | WWW | Deep Rating Elicitation for New Users in Collaborative Filtering. | Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu |
| 2019 | CIKM | Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. | SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu |
| 2019 | CIKM | BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. | Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2019 | CIKM | Task-Guided Pair Embedding in Heterogeneous Network. | Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu |
| 2019 | IJCAI | Sequential and Diverse Recommendation with Long Tail. | Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu |
| 2019 | IJCAI | Action Space Learning for Heterogeneous User Behavior Prediction. | Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu |
| 2018 | CIKM | Disk-based Matrix Completion for Memory Limited Devices. | Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu |
| 2018 | EMNLP | Out-of-domain Detection based on Generative Adversarial Network. | Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee |
| 2018 | ICDM | Fast Tucker Factorization for Large-Scale Tensor Completion. | Dongha Lee, Jaehyung Lee, Hwanjo Yu |
| 2018 | ICDM | Collaborative Translational Metric Learning. | Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu |
| 2018 | KDD | DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. | Gyoung S. Na, Donghyun Kim, Hwanjo Yu |
| 2018 | SIGIR | Review Sentiment-Guided Scalable Deep Recommender System. | Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu |
| 2017 | CIKM | DiagTree: Diagnostic Tree for Differential Diagnosis. | Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu |
| 2017 | KDD | Federated Tensor Factorization for Computational Phenotyping. | Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang |
| 2017 | WWW | Do "Also-Viewed" Products Help User Rating Prediction? | Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu |
| 2017 | WSDM | S-HOT: Scalable High-Order Tucker Decomposition. | Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu |
| 2016 | LREC | Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization. | Muhammad Humayoun, Hwanjo Yu |
| 2016 | RecSys | Convolutional Matrix Factorization for Document Context-Aware Recommendation. | Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu |
| 2016 | WWW | TRecSo: Enhancing Top-k Recommendation With Social Information. | Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu |
| 2015 | CIKM | Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. | Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu |
| 2015 | KDD | Fast and Robust Parallel SGD Matrix Factorization. | Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang |
| 2015 | RecSys | Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. | Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu |
| 2014 | CIKM | Identifying Cancer Subtypes based on Somatic Mutation Profile. | Sungchul Kim, Lee Sael, Hwanjo Yu |
| 2014 | SIGMOD | OPT: a new framework for overlapped and parallel triangulation in large-scale graphs. | Jinha Kim, Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Hwanjo Yu |
| 2013 | CIKM | Efficient local ligand-binding site search using landmark mds. | Sungchul Kim, Lee Sael, Hwanjo Yu |
| 2013 | CIKM | BoDBES: a boosted dictionary-based biomedical entity spotter. | Min Song, Wook-Shin Han, Hwanjo Yu |
| 2013 | ICDE | Scalable and parallelizable processing of influence maximization for large-scale social networks? | Jinha Kim, Seung-Keol Kim, Hwanjo Yu |
| 2013 | ICWSM | Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets. | Sungho Jeon, Sungchul Kim, Hwanjo Yu |
| 2013 | KDD | TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC. | Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Jeong-Hoon Lee, Min-Soo Kim, Jinha Kim, Hwanjo Yu |
| 2012 | ACL | Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. | Sungchul Kim, Kristina Toutanova, Hwanjo Yu |
| 2012 | CIKM | Indexing methods for efficient protein 3D surface search. | Sungchul Kim, Lee Sael, Hwanjo Yu |
| 2012 | CIKM | iSampling: framework for developing sampling methods considering user's interest. | Jinoh Oh, Hwanjo Yu |
| 2012 | DASFAA | Data Management Challenges and Opportunities in Cloud Computing. | Kyuseok Shim, Sang Kyun Cha, Lei Chen, Wook-Shin Han, Divesh Srivastava, Katsumi Tanaka, Hwanjo Yu, Xiaofang Zhou |
| 2012 | ICDM | CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing. | Wonyeol Lee, Jinha Kim, Hwanjo Yu |
| 2012 | KDD | GeoSearch: georeferenced video retrieval system. | Youngwoo Kim, Jinha Kim, Hwanjo Yu |
| 2012 | KDD | PubMed search and exploration with real-time semantic network construction. | Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu |
| 2011 | CIKM | Advertiser-centric approach to understand user click behavior in sponsored search. | Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu |
| 2011 | ICDM | Novel Recommendation Based on Personal Popularity Tendency. | Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park |
| 2011 | KDD | Protecting location privacy using location semantics. | Byoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim |
| 2011 | SIGMOD | A new approach for processing ranked subsequence matching based on ranked union. | Wook-Shin Han, Jinsoo Lee, Yang-Sae Moon, Seung-won Hwang, Hwanjo Yu |
| 2011 | SIGMOD | Exact indexing for support vector machines. | Hwanjo Yu, Ilhwan Ko, Youngdae Kim, Seung-won Hwang, Wook-Shin Han |
| 2010 | CIKM | RankSVR: can preference data help regression? | Hwanjo Yu, Sungchul Kim, Seung-Hoon Na |
| 2010 | ICDE | On supporting effective web extraction. | Wook-Shin Han, Wooseong Kwak, Hwanjo Yu |
| 2010 | ICDM | Passive Sampling for Regression. | Hwanjo Yu, Sungchul Kim |
| 2009 | CIKM | VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. | Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho |
| 2009 | CIKM | RefMed: relevance feedback retrieval system fo PubMed. | Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim |
| 2009 | CIKM | Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS. | Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han |
| 2009 | CIKM | Efficient feature weighting methods for ranking. | Hwanjo Yu, Jinoh Oh, Wook-Shin Han |
| 2009 | IM | Fault detection in IP-based process control networks using data mining. | Byungchul Park, Young J. Won, Hwanjo Yu, James Won-Ki Hong, Hong-Sun Noh, Jang Jin Lee |
| 2009 | PAKDD | RV-SVM: An Efficient Method for Learning Ranking SVM. | Hwanjo Yu, Youngdae Kim, Seung-won Hwang |
| 2007 | AMIA | Predicting the Impact of an Electronic Health Record on Practice Patterns Using Computational Modeling and Simulation. | Thomas R. Clancy, Connie White-Delaney, Alberto M. Segre, Kathleen M. Carley, Andrew Kuziak, Hwanjo Yu |
| 2007 | SAC | Mining and processing category ranking. | Seung-won Hwang, Hwanjo Yu |
| 2006 | PAKDD | Privacy-Preserving SVM Classification on Vertically Partitioned Data. | Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang |
| 2006 | SAC | Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data. | Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya |
| 2005 | ICDE | Enabling Ad-hoc Ranking for Data Retrieval. | Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang |
| 2005 | KDD | SVM selective sampling for ranking with application to data retrieval. | Hwanjo Yu |
| 2005 | SDM | Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. | Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu |
| 2004 | ICDM | Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. | Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han |
| 2003 | CIKM | Text classification from positive and unlabeled documents. | Hwanjo Yu, ChengXiang Zhai, Jiawei Han |
| 2003 | ICDM | General MC: Estimating Boundary of Positive Class from Small Positive Data. | Hwanjo Yu |
| 2003 | IJCAI | SVMC: Single-Class Classification With Support Vector Machines. | Hwanjo Yu |
| 2003 | KDD | Classifying large data sets using SVMs with hierarchical clusters. | Hwanjo Yu, Jiong Yang, Jiawei Han |
| 2002 | ICDM | Heterogeneous Learner for Web Page Classification. | Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han |
| 2002 | KDD | PEBL: positive example based learning for Web page classification using SVM. | Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang |