Heterogeneous Learner for Web Page Classification. - Hwanjo Yu; Kevin Chen-Chuan Chang; Jiawei Han 001 (ICDM, 2002)

PEBL: positive example based learning for Web page classification using SVM. - Hwanjo Yu; Jiawei Han 001; Kevin Chen-Chuan Chang (KDD, 2002)

Text classification from positive and unlabeled documents. - Hwanjo Yu; ChengXiang Zhai; Jiawei Han 001 (CIKM, 2003)

Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. - Hwanjo Yu; Jiong Yang 001; Wei Wang 010; Jiawei Han 001 (CSB, 2003)

General MC: Estimating Boundary of Positive Class from Small Positive Data. - Hwanjo Yu (ICDM, 2003)

SVMC: Single-Class Classification With Support Vector Machines. - Hwanjo Yu (IJCAI, 2003)

Classifying large data sets using SVMs with hierarchical clusters. - Hwanjo Yu; Jiong Yang 001; Jiawei Han 001 (KDD, 2003)

Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. - Hwanjo Yu; Duane Searsmith; Xiaolei Li 001; Jiawei Han 001 (ICDM, 2004)

PEBL: Web Page Classification without Negative Examples. - Hwanjo Yu; Jiawei Han 001; Kevin Chen-Chuan Chang (IEEE Trans. Knowl. Data Eng., 2004)

Enabling Ad-hoc Ranking for Data Retrieval. - Hwanjo Yu; Seung-won Hwang; Kevin Chen-Chuan Chang (ICDE, 2005)

SVM selective sampling for ranking with application to data retrieval. - Hwanjo Yu (KDD, 2005)

Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. - Chao Liu 001; Xifeng Yan; Hwanjo Yu; Jiawei Han 001; Philip S. Yu (SDM, 2005)

Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. - Hwanjo Yu; Jiong Yang 001; Jiawei Han 001; Xiaolei Li 001 (Data Min. Knowl. Discov., 2005)

Single-Class Classification with Mapping Convergence. - Hwanjo Yu (Mach. Learn., 2005)

Privacy-Preserving SVM Classification on Vertically Partitioned Data. - Hwanjo Yu; Jaideep Vaidya; Xiaoqian Jiang (PAKDD, 2006)

Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data. - Hwanjo Yu; Xiaoqian Jiang; Jaideep Vaidya (SAC, 2006)

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 (AMIA, 2007)

Mining and processing category ranking. - Seung-won Hwang; Hwanjo Yu (SAC, 2007)

Enabling soft queries for data retrieval. - Hwanjo Yu; Seung-won Hwang; Kevin Chen-Chuan Chang (Inf. Syst., 2007)

Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. - Baek Hwan Cho; Hwanjo Yu; Kwang-Won Kim; Tae Hyun Kim 005; In-Young Kim; Sun I. Kim (Artif. Intell. Medicine, 2008)

Supporting personalized ranking over categorical attributes. - Gae-won You; Seung-won Hwang; Hwanjo Yu (Inf. Sci., 2008)

Privacy-preserving SVM classification. - Jaideep Vaidya; Hwanjo Yu; Xiaoqian Jiang (Knowl. Inf. Syst., 2008)

Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels. - Baek Hwan Cho; Hwanjo Yu; Jong Shill Lee; Young Joon Chee; In-Young Kim; Sun I. Kim (IEEE Trans. Inf. Technol. Biomed., 2008)

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 (CIKM, 2009)

RefMed: relevance feedback retrieval system fo PubMed. - Hwanjo Yu; Taehoon Kim; Jinoh Oh; Ilhwan Ko; Sungchul Kim (CIKM, 2009)

Efficient feature weighting methods for ranking. - Hwanjo Yu; Jinoh Oh; Wook-Shin Han (CIKM, 2009)

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 (Integrated Network Management, 2009)

RV-SVM: An Efficient Method for Learning Ranking SVM. - Hwanjo Yu; Youngdae Kim; Seung-won Hwang (PAKDD, 2009)

Bootstrap. - Hwanjo Yu (Encyclopedia of Database Systems, 2009)

Support Vector Machine. - Hwanjo Yu (Encyclopedia of Database Systems, 2009)

RankSVR: can preference data help regression? - Hwanjo Yu; Sungchul Kim; Seung-Hoon Na (CIKM, 2010)

On supporting effective web extraction. - Wook-Shin Han; Wooseong Kwak; Hwanjo Yu (ICDE, 2010)

Passive Sampling for Regression. - Hwanjo Yu; Sungchul Kim (ICDM, 2010)

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 (BMC Bioinform., 2010)

Extracting biomedical concepts from fulltext by relative importance in a graph model. - Min Song 001; Said Bleik; Hwanjo Yu; Wook-Shin Han (BIBM Workshops, 2011)

Novel Recommendation Based on Personal Popularity Tendency. - Jinoh Oh; Sun Park; Hwanjo Yu; Min Song 001; Seung-Taek Park (ICDM, 2011)

Protecting location privacy using location semantics. - Byoungyoung Lee; Jinoh Oh; Hwanjo Yu; Jong Kim 001 (KDD, 2011)

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 (SIGMOD Conference, 2011)

Exact indexing for support vector machines. - Hwanjo Yu; Ilhwan Ko; Youngdae Kim; Seung-won Hwang; Wook-Shin Han (SIGMOD Conference, 2011)

Processing SPARQL queries with regular expressions in RDF databases. - Jinsoo Lee; Minh-Duc Pham; Jihwan Lee; Wook-Shin Han; Hune Cho; Hwanjo Yu; Jeong-Hoon Lee 004 (BMC Bioinform., 2011)

Combining active learning and semi-supervised learning techniques to extract protein interaction sentences. - Min Song 001; Hwanjo Yu; Wook-Shin Han (BMC Bioinform., 2011)

Selective sampling techniques for feedback-based data retrieval. - Hwanjo Yu (Data Min. Knowl. Discov., 2011)

Hessian matrix distribution for Bayesian policy gradient reinforcement learning. - Ngo Anh Vien; Hwanjo Yu; TaeChoong Chung (Inf. Sci., 2011)

Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. - Sungchul Kim; Kristina Toutanova; Hwanjo Yu (ACL (1), 2012)

Finding Core Topics: Topic Extraction with Clustering on Tweet. - Sungchul Kim; Sungho Jeon 002; Jinha Kim; Young-Ho Park 003; Hwanjo Yu (CGC, 2012)

Time-Dependent User Profiling for TV Recommendation. - Jinoh Oh; Youngchul Sung; Jinha Kim; Muhammad Humayoun; Young-Ho Park 003; Hwanjo Yu (CGC, 2012)

Indexing methods for efficient protein 3D surface search. - Sungchul Kim; Lee Sael; Hwanjo Yu (DTMBIO@CIKM, 2012)

iSampling: framework for developing sampling methods considering user's interest. - Jinoh Oh; Hwanjo Yu (CIKM, 2012)

Data Management Challenges and Opportunities in Cloud Computing. - Kyuseok Shim; Sang Kyun Cha; Lei Chen 002; Wook-Shin Han; Divesh Srivastava; Katsumi Tanaka; Hwanjo Yu; Xiaofang Zhou 001 (DASFAA (2), 2012)

GeoSearch: georeferenced video retrieval system. - Youngwoo Kim; Jinha Kim; Hwanjo Yu (KDD, 2012)

PubMed search and exploration with real-time semantic network construction. - Jinoh Oh; Taehoon Kim; Sun Park; Hwanjo Yu (KDD, 2012)

An efficient method for learning nonlinear ranking SVM functions. - Hwanjo Yu; Jinha Kim; Youngdae Kim; Seung-won Hwang; Young Ho Lee (Inf. Sci., 2012)

SVM Tutorial - Classification, Regression and Ranking. - Hwanjo Yu; Sungchul Kim (Handbook of Natural Computing, 2012)

Efficient local ligand-binding site search using landmark mds. - Sungchul Kim; Lee Sael; Hwanjo Yu (DTMBIO, 2013)

BoDBES: a boosted dictionary-based biomedical entity spotter. - Min Song 001; Wook-Shin Han; Hwanjo Yu (DTMBIO, 2013)

Scalable and parallelizable processing of influence maximization for large-scale social networks? - Jinha Kim; Seung-Keol Kim; Hwanjo Yu (ICDE, 2013)

Fast protein 3D surface search. - Sungchul Kim; Lee Sael; Hwanjo Yu (ICUIMC, 2013)

Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets. - Sungho Jeon 002; Sungchul Kim; Hwanjo Yu (ICWSM, 2013)

TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC. - Wook-Shin Han; Sangyeon Lee; Kyungyeol Park; Jeong-Hoon Lee 004; Min-Soo Kim 002; Jinha Kim; Hwanjo Yu (KDD, 2013)

Efficient semantic network construction with application to PubMed search. - Jinoh Oh; Taehoon Kim; Sun Park; Hwanjo Yu; Young Ho Lee (Knowl. Based Syst., 2013)

Efficient protein structure search using indexing methods. - Sungchul Kim; Lee Sael; Hwanjo Yu (BMC Medical Informatics Decis. Mak., 2013)

Identifying Cancer Subtypes based on Somatic Mutation Profile. - Sungchul Kim; Lee Sael; Hwanjo Yu (DTMBIO@CIKM, 2014)

OPT: a new framework for overlapped and parallel triangulation in large-scale graphs. - Jinha Kim; Wook-Shin Han; Sangyeon Lee; Kyungyeol Park; Hwanjo Yu (SIGMOD Conference, 2014)

Leveraging spatial join for robust tuple extraction from web pages. - Wook-Shin Han; Wooseong Kwak; Hwanjo Yu; Jeong-Hoon Lee 004; Min-Soo Kim 002 (Inf. Sci., 2014)

Processing time-dependent shortest path queries without pre-computed speed information on road networks. - Jinha Kim; Wook-Shin Han; Jinoh Oh; Sungchul Kim; Hwanjo Yu (Inf. Sci., 2014)

iKernel: Exact indexing for support vector machines. - Youngdae Kim; Ilhwan Ko; Wook-Shin Han; Hwanjo Yu (Inf. Sci., 2014)

Advertiser-centric approach to understand user click behavior in sponsored search. - Sungchul Kim; Tao Qin 001; Tie-Yan Liu; Hwanjo Yu (Inf. Sci., 2014)

When to recommend: A new issue on TV show recommendation. - Jinoh Oh; Sungchul Kim; Jinha Kim; Hwanjo Yu (Inf. Sci., 2014)

GeoTree: Using spatial information for georeferenced video search. - Youngwoo Kim; Jinha Kim; Hwanjo Yu (Knowl. Based Syst., 2014)

CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing. - Jinha Kim; Wonyeol Lee 001; Hwanjo Yu (Knowl. Based Syst., 2014)

Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. - Yejin Kim 001; Yong Hyun Park; Ji Youl Lee; In Young Choi; Donghyun Kim 007; Hwanjo Yu (DTMBIO@CIKM, 2015)

Fast and Robust Parallel SGD Matrix Factorization. - Jinoh Oh; Wook-Shin Han; Hwanjo Yu; Xiaoqian Jiang (KDD, 2015)

Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (RecSys Challenge, 2015)

LMDS-based approach for efficient top-k local ligand-binding site search. - Sungchul Kim; Lee Sael; Hwanjo Yu (Int. J. Data Min. Bioinform., 2015)

Fast density-based clustering through dataset partition using graphics processing units. - Woong-Kee Loh; Hwanjo Yu (Inf. Sci., 2015)

Developing a hybrid dictionary-based bio-entity recognition technique. - Min Song 001; Hwanjo Yu; Wook-Shin Han (BMC Medical Informatics Decis. Mak., 2015)

Mathematical Model for Processing Multi-user Requests on POMDP Hybrid Dialog Management. - Sangjun Koo; Gary Geunbae Lee; Hwanjo Yu (IMCOM, 2016)

Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization. - Muhammad Humayoun; Hwanjo Yu (LREC, 2016)

ISOFT-Team at NTCIR-12 QALab-2: Using Choice Verification. - Soonchoul Kwon; Seonyeong Park; Daehwan Nam; Kyusong Lee; Hwanjo Yu; Gary Geunbae Lee (NTCIR, 2016)

Convolutional Matrix Factorization for Document Context-Aware Recommendation. - Donghyun Kim 007; Chanyoung Park 001; Jinoh Oh; Sungyoung Lee 001; Hwanjo Yu (RecSys, 2016)

TRecSo: Enhancing Top-k Recommendation With Social Information. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (WWW (Companion Volume), 2016)

A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. - Sungchul Kim; Lee Sael; Hwanjo Yu (Bioinform., 2016)

Automatic Open Knowledge Acquisition via Long Short-Term Memory Networks with Feedback Negative Sampling. - Byungsoo Kim 002; Hwanjo Yu; Gary Geunbae Lee (CoRR, 2016)

Spoiler detection in TV program tweets. - Sungho Jeon 002; Sungchul Kim; Hwanjo Yu (Inf. Sci., 2016)

GeoVideoIndex: Indexing for georeferenced videos. - Dongha Lee 003; Jinoh Oh; Woong-Kee Loh; Hwanjo Yu (Inf. Sci., 2016)

Improving top-K recommendation with truster and trustee relationship in user trust network. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2016)

Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. - Yejin Kim 001; Yong Hyun Park; Ji Youl Lee; In Young Choi; Hwanjo Yu (BMC Medical Informatics Decis. Mak., 2016)

Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. - Jingyun Choi; Yejin Kim 001; Hun-Sung Kim; In Young Choi; Hwanjo Yu (BCB, 2017)

DiagTree: Diagnostic Tree for Differential Diagnosis. - Yejin Kim 001; Jingyun Choi; Yosep Chong; Xiaoqian Jiang; Hwanjo Yu (CIKM, 2017)

Answer ranking based on named entity types for question answering. - Sangdo Han; Soonchoul Kwon; Hwanjo Yu; Gary Geunbae Lee (IMCOM, 2017)

Two-stage approach to named entity recognition using Wikipedia and DBpedia. - Seonghan Ryu; Hwanjo Yu; Gary Geunbae Lee (IMCOM, 2017)

Federated Tensor Factorization for Computational Phenotyping. - Yejin Kim 001; Jimeng Sun 001; Hwanjo Yu; Xiaoqian Jiang (KDD, 2017)

S-HOT: Scalable High-Order Tucker Decomposition. - Jinoh Oh; Kijung Shin; Evangelos E. Papalexakis; Christos Faloutsos; Hwanjo Yu (WSDM, 2017)

Do "Also-Viewed" Products Help User Rating Prediction? - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (WWW, 2017)

Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship. - Chanyoung Park 001; Donghyun Kim 007; Min-Chul Yang; Jung-Tae Lee; Hwanjo Yu (CoRR, 2017)

Influence maximization based on reachability sketches in dynamic graphs. - Dongeun Kim; Dongmin Hyeon; Jinoh Oh; Wook-Shin Han; Hwanjo Yu (Inf. Sci., 2017)

Scalable and parallelizable influence maximization with Random Walk Ranking and Rank Merge Pruning. - Seung-Keol Kim; Dongeun Kim; Jinoh Oh; Jeong-Hyon Hwang; Wook-Shin Han; Wei Chen 013; Hwanjo Yu (Inf. Sci., 2017)

Deep hybrid recommender systems via exploiting document context and statistics of items. - Donghyun Kim 007; Chanyoung Park 001; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2017)

RecTime: Real-Time recommender system for online broadcasting. - Yoojin Park; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2017)

Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems. - Seonghan Ryu; Seokhwan Kim; Junhwi Choi; Hwanjo Yu; Gary Geunbae Lee (Pattern Recognit. Lett., 2017)

Disk-based Matrix Completion for Memory Limited Devices. - Dongha Lee 003; Jinoh Oh; Christos Faloutsos; Byungju Kim; Hwanjo Yu (CIKM, 2018)

Out-of-domain Detection based on Generative Adversarial Network. - Seonghan Ryu; Sangjun Koo; Hwanjo Yu; Gary Geunbae Lee (EMNLP, 2018)

Fast Tucker Factorization for Large-Scale Tensor Completion. - Dongha Lee 003; Jaehyung Lee 002; Hwanjo Yu (ICDM, 2018)

Collaborative Translational Metric Learning. - Chanyoung Park 001; Donghyun Kim 007; Xing Xie 001; Hwanjo Yu (ICDM, 2018)

Sentiment Classification with Convolutional Neural Network using Multiple Word Representations. - Hyunjun Ju; Hwanjo Yu (IMCOM, 2018)

DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding. - Dongha Lee 003; Hyunjun Ju; Hwanjo Yu; Jung-Mi Park; Kye-Yoon Kim (IMCOM, 2018)

DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. - Gyoung S. Na; Donghyun Kim 007; Hwanjo Yu (KDD, 2018)

Review Sentiment-Guided Scalable Deep Recommender System. - Dongmin Hyun; Chanyoung Park 001; Min-Chul Yang; Ilhyeon Song; Jung-Tae Lee; Hwanjo Yu (SIGIR, 2018)

Bootstrap. - Hwanjo Yu (Encyclopedia of Database Systems (2nd ed.), 2018)

Support Vector Machine. - Hwanjo Yu (Encyclopedia of Database Systems (2nd ed.), 2018)

Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. - SeongKu Kang; Junyoung Hwang; Dongha Lee 003; Hwanjo Yu (CIKM, 2019)

BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. - Seonghyeon Lee; Chanyoung Park 001; Hwanjo Yu (CIKM, 2019)

Task-Guided Pair Embedding in Heterogeneous Network. - Chanyoung Park 001; Donghyun Kim 007; Qi Zhu 008; Jiawei Han 001; Hwanjo Yu (CIKM, 2019)

Sequential and Diverse Recommendation with Long Tail. - Yejin Kim 001; Kwangseob Kim; Chanyoung Park 001; Hwanjo Yu (IJCAI, 2019)

Action Space Learning for Heterogeneous User Behavior Prediction. - Dongha Lee 003; Chanyoung Park 001; Hyunjun Ju; Junyoung Hwang; Hwanjo Yu (IJCAI, 2019)

Target-aware convolutional neural network for target-level sentiment analysis. - Dongmin Hyun; Chanyoung Park 001; Min-Chul Yang; Ilhyeon Song; Jung-Tae Lee; Hwanjo Yu (Inf. Sci., 2019)

An encoder-decoder switch network for purchase prediction. - Chanyoung Park 001; Donghyun Kim 007; Hwanjo Yu (Knowl. Based Syst., 2019)

Adversarial approach to domain adaptation for reinforcement learning on dialog systems. - Sangjun Koo; Hwanjo Yu; Gary Geunbae Lee (Pattern Recognit. Lett., 2019)

Unsupervised Attributed Multiplex Network Embedding. - Chanyoung Park 001; Donghyun Kim 007; Jiawei Han 001; Hwanjo Yu (AAAI, 2020)

DE-RRD: A Knowledge Distillation Framework for Recommender System. - SeongKu Kang; Junyoung Hwang; Wonbin Kweon; Hwanjo Yu (CIKM, 2020)

Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. - Dongmin Hyun; Junsu Cho; Hwanjo Yu (COLING, 2020)

Interest Sustainability-Aware Recommender System. - Dongmin Hyun; Junsu Cho; Chanyoung Park 001; Hwanjo Yu (ICDM, 2020)

Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. - Beomjo Shin; Junsu Cho; Hwanjo Yu; Seungjin Choi (ICPR, 2020)

Multi-Modal Component Embedding for Fake News Detection. - SeongKu Kang; Junyoung Hwang; Hwanjo Yu (IMCOM, 2020)

Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. - Sehun Yu; Dongha Lee 003; Hwanjo Yu (IJCAI, 2020)

Multi-Class Data Description for Out-of-distribution Detection. - Dongha Lee 003; Sehun Yu; Hwanjo Yu (KDD, 2020)

Unsupervised Differentiable Multi-aspect Network Embedding. - Chanyoung Park 001; Carl Yang 001; Qi Zhu 008; Donghyun Kim 007; Hwanjo Yu; Jiawei Han 001 (KDD, 2020)

Deep Rating Elicitation for New Users in Collaborative Filtering. - Wonbin Kweon; SeongKu Kang; Junyoung Hwang; Hwanjo Yu (WWW, 2020)

Input initialization for inversion of neural networks using k-nearest neighbor approach. - Seongbo Jang; Ye-Eun Jang; Young-Jin Kim 004; Hwanjo Yu (Inf. Sci., 2020)

PUMAD: PU Metric learning for anomaly detection. - Hyunjun Ju; Dongha Lee 003; Junyoung Hwang; Junghyun Namkung; Hwanjo Yu (Inf. Sci., 2020)

Scalable disk-based topic modeling for memory limited devices. - Byungju Kim; Dongha Lee 003; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2020)

OCam: Out-of-core coordinate descent algorithm for matrix completion. - Dongha Lee 003; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2020)

Click-aware purchase prediction with push at the top. - Chanyoung Park 001; Donghyun Kim 007; Min-Chul Yang; Jung-Tae Lee; Hwanjo Yu (Inf. Sci., 2020)

Generating sequential electronic health records using dual adversarial autoencoder. - Dongha Lee 003; Hwanjo Yu; Xiaoqian Jiang; Deevakar Rogith; Meghana Gudala; Mubeen Tejani; Qiuchen Zhang; Li Xiong 001 (J. Am. Medical Informatics Assoc., 2020)

Harmonized representation learning on dynamic EHR graphs. - Dongha Lee 003; Xiaoqian Jiang; Hwanjo Yu (J. Biomed. Informatics, 2020)

Fast and memory-efficient algorithms for high-order Tucker decomposition. - Jiyuan Zhang; Jinoh Oh; Kijung Shin; Evangelos E. Papalexakis; Christos Faloutsos; Hwanjo Yu (Knowl. Inf. Syst., 2020)

Deep multiplex graph infomax: Attentive multiplex network embedding using global information. - Chanyoung Park 001; Jiawei Han 001; Hwanjo Yu (Knowl. Based Syst., 2020)

Learnable Dynamic Temporal Pooling for Time Series Classification. - Dongha Lee 003; Seonghyeon Lee; Hwanjo Yu (AAAI, 2021)

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification. - Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (ACL/IJCNLP (1), 2021)

Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. - Dongha Lee 003; Sehun Yu; Hyunjun Ju; Hwanjo Yu (ICCV, 2021)

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. - Dongha Lee 003; Dongmin Hyun; Jiawei Han 001; Hwanjo Yu (ICDM, 2021)

Learnable Structural Semantic Readout for Graph Classification. - Dongha Lee 003; Su Kim; Seonghyeon Lee; Chanyoung Park 001; Hwanjo Yu (ICDM, 2021)

Topology Distillation for Recommender System. - SeongKu Kang; Junyoung Hwang; Wonbin Kweon; Hwanjo Yu (KDD, 2021)

Unsupervised Proxy Selection for Session-based Recommender Systems. - Junsu Cho; SeongKu Kang; Dongmin Hyun; Hwanjo Yu (SIGIR, 2021)

Bootstrapping User and Item Representations for One-Class Collaborative Filtering. - Dongha Lee 003; SeongKu Kang; Hyunjun Ju; Chanyoung Park 001; Hwanjo Yu (SIGIR, 2021)

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. - Junsu Cho; Dongmin Hyun; SeongKu Kang; Hwanjo Yu (WWW, 2021)

Bidirectional Distillation for Top-K Recommender System. - Wonbin Kweon; SeongKu Kang; Hwanjo Yu (WWW, 2021)

Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification. - Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (CoRR, 2021)

Learning to utilize auxiliary reviews for recommendation. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (Inf. Sci., 2021)

Item-side ranking regularized distillation for recommender system. - SeongKu Kang; Junyoung Hwang; Wonbin Kweon; Hwanjo Yu (Inf. Sci., 2021)

Obtaining Calibrated Probabilities with Personalized Ranking Models. - Wonbin Kweon; SeongKu Kang; Hwanjo Yu (AAAI, 2022)

Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. - Seonghyeon Lee; Dongha Lee 003; Seongbo Jang; Hwanjo Yu (ACL (1), 2022)

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (CIKM, 2022)

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. - Dongmin Hyun; Xiting Wang; Chanyoung Park 001; Xing Xie 001; Hwanjo Yu (EMNLP (Findings), 2022)

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. - Dongha Lee 003; Jiaming Shen; Seonghyeon Lee; Susik Yoon; Hwanjo Yu; Jiawei Han 001 (EMNLP (Findings), 2022)

A Light Bug Triage Framework for Applying Large Pre-trained Language Model. - Jaehyung Lee 002; Kisun Han; Hwanjo Yu (ASE, 2022)

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. - Seongku Kang; Dongha Lee 003; Wonbin Kweon; Junyoung Hwang; Hwanjo Yu (WWW, 2022)

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. - Dongha Lee 003; Jiaming Shen; Seongku Kang; Susik Yoon; Jiawei Han 001; Hwanjo Yu (WWW, 2022)

Mitigating viewpoint sensitivity of self-supervised one-class classifiers. - Hyunjun Ju; Dongha Lee 003; SeongKu Kang; Hwanjo Yu (Inf. Sci., 2022)

Personalized Knowledge Distillation for Recommender System. - SeongKu Kang; Dongha Lee 003; Wonbin Kweon; Hwanjo Yu (Knowl. Based Syst., 2022)

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. - Junsu Cho; Dongmin Hyun; Dong won Lim; Hyeon jae Cheon; Hyoung-iel Park; Hwanjo Yu (AAAI, 2023)

Learning Topology-Specific Experts for Molecular Property Prediction. - Suyeon Kim; Dongha Lee 003; SeongKu Kang; Seonghyeon Lee; Hwanjo Yu (AAAI, 2023)

Distillation from Heterogeneous Models for Top-K Recommendation. - SeongKu Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (WWW, 2023)

Learning Topology-Specific Experts for Molecular Property Prediction. - Su Kim; Dongha Lee 003; SeongKu Kang; Seonghyeon Lee; Hwanjo Yu (CoRR, 2023)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. - Hyunjun Ju; SeongKu Kang; Dongha Lee 003; Junyoung Hwang; Sanghwan Jang; Hwanjo Yu (AAAI, 2024)

KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. - Seongbo Jang; Seonghyeon Lee; Hwanjo Yu (LREC/COLING, 2024)

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. - Suyeon Kim; Dongha Lee 003; SeongKu Kang; Sukang Chae; Sanghwan Jang; Hwanjo Yu (CVPR, 2024)

Taxonomy-guided Semantic Indexing for Academic Paper Search. - SeongKu Kang; Yunyi Zhang 001; Pengcheng Jiang; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (EMNLP, 2024)

Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. - Seonghyeon Lee; Suyeon Kim; Joonwon Jang; Heejae Chon; Dongha Lee 003; Hwanjo Yu (EMNLP (Findings), 2024)

Continual Collaborative Distillation for Recommender System. - Gyuseok Lee; SeongKu Kang; Wonbin Kweon; Hwanjo Yu (KDD, 2024)

Rectifying Demonstration Shortcut in In-Context Learning. - Joonwon Jang; Sanghwan Jang; Wonbin Kweon; Minjin Jeon; Hwanjo Yu (NAACL-HLT, 2024)

Exploring Language Model's Code Generation Ability with Auxiliary Functions. - Seonghyeon Lee; Sanghwan Jang; Seongbo Jang; Dongha Lee 003; Hwanjo Yu (NAACL-HLT (Findings), 2024)

Multi-Domain Sequential Recommendation via Domain Space Learning. - Junyoung Hwang; Hyunjun Ju; SeongKu Kang; Sanghwan Jang; Hwanjo Yu (SIGIR, 2024)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. - SeongKu Kang; Shivam Agarwal; Bowen Jin; Dongha Lee 003; Hwanjo Yu; Jiawei Han 001 (WWW, 2024)

Top-Personalized-K Recommendation. - Wonbin Kweon; SeongKu Kang; Sanghwan Jang; Hwanjo Yu (WWW, 2024)

Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. - Wonbin Kweon; Hwanjo Yu (WWW, 2024)

Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks. - Jaehyun Lee; SeongKu Kang; Hwanjo Yu (CoRR, 2024)

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria. - Joonwon Jang; Jaehee Kim; Wonbin Kweon; Hwanjo Yu (CoRR, 2024)

Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning. - Joonwon Jang; Jaehee Kim; Wonbin Kweon; Seonghyeon Lee; Hwanjo Yu (ACL (Findings), 2025)

Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences. - Gwangseok Han; Wonbin Kweon; Minsoo Kim; Hwanjo Yu (KDD (1), 2025)

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. - SeongKu Kang; Bowen Jin; Wonbin Kweon; Yu Zhang 044; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (WSDM, 2025)

Uncertainty Quantification and Decomposition for LLM-based Recommendation. - Wonbin Kweon; Sanghwan Jang; SeongKu Kang; Hwanjo Yu (WWW, 2025)

Collaborative Diffusion Model for Recommender System. - Gyuseok Lee; Yaochen Zhu; Hwanjo Yu; Yao Zhou; Jundong Li (WWW (Companion Volume), 2025)

REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models. - DongGeon Lee; Hwanjo Yu (CoRR, 2025)

How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. - Seonghyeon Lee; Heejae Chon; Joonwon Jang; Dongha Lee 003; Hwanjo Yu (CoRR, 2025)

Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study. - DongGeon Lee; Joonwon Jang; Jihae Jeong; Hwanjo Yu (CoRR, 2025)

Leveraging Historical and Current Interests for Continual Sequential Recommendation. - Gyuseok Lee; Hyunsik Yoo; Junyoung Hwang; SeongKu Kang; Hwanjo Yu (CoRR, 2025)

On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval. - Seongbo Jang; Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (CoRR, 2025)

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. - Suyeon Kim; SeongKu Kang; Dongwoo Kim; Jungseul Ok; Hwanjo Yu (CoRR, 2025)

From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents. - Seongbo Jang; Minjin Jeon; Jaehoon Lee; Seonghyeon Lee; Dongha Lee 003; Hwanjo Yu (CoRR, 2025)

Federated Continual Recommendation. - Jaehyung Lim; Wonbin Kweon; Woojoo Kim; Junyoung Kim; Seongjin Choi; Dongha Kim; Hwanjo Yu (CoRR, 2025)

Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. - Seongku Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (Trans. Recomm. Syst., 2025)