POSTECH

Publication

Publication

2026

  • RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation
    Sanghwan Jang, Minjin Jeon, Minsoo Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu
    The 43rd International Conference on Machine Learning (ICML 2026)
  • 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
    The 64th Annual Meeting of the Association for Computational Linguistics (ACL'26 Main)
  • Valid ≠ Necessary: Diagnosing Latent Inefficiency in Chain-of-Thought
    Daeyeop Lee, Hwanjo Yu
    The 64th Annual Meeting of the Association for Computational Linguistics (ACL'26 Findings)
  • Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
    Jaehyun Lee, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
    The 49th International ACM Conference on Research and Development in Information Retrieval (SIGIR'26)
  • FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
    WooJoo Kim, JunYoung Kim, JaeHyung Lim, SeongJin Choi, SeongKu Kang, HwanJo Yu
    The 49th International ACM Conference on Research and Development in Information Retrieval (SIGIR'26)
  • Dynamic Multi-period Experts for Online Time Series Forecasting
    Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu
    The Web Conference (WWW'26)
  • PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
    Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
    The Web Conference (WWW'26)
  • Exploring Iterative Controllable Summarization with Large Language Models
    Sangwon Ryu, Heejin Do, Daehui Kim, Hwanjo Yu, Dongwoo Kim, Yunsu Kim, Gary Lee, Jungseul Ok
    The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL'26 Findings)
  • Capturing User Interests from Data Streams for Continual Sequential Recommendation
    Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu
    The 19th ACM International Conference on Web Search and Data Mining (WSDM'26)
  • Harmonic Dataset Distillation for Time Series Forecasting
    Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu
    The 40th AAAI Conference on Artificial Intelligence (AAAI'26)

2025

  • Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
    DongGeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu
    The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP'25)
  • StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
    Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu
    The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP'25)
  • Topic Coverage-based Demonstration Retrieval for In-Context Learning
    Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu
    The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP'25)
  • 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
    The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP'25 Findings)
  • Federated Continual Recommendation
    Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu
    The 34th ACM International Conference on Information and Knowledge Management (CIKM'25)
  • Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment
    Namu Kim, Wonbin Kweon, Minsoo Kim, Hwanjo Yu
    British Machine Vision Conference (BMVC'25)
  • Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning
    Joonwon Jang, Jaehee Kim, Wonbin Kweon, Seonghyeon Lee, Hwanjo Yu
    Findings of the Association for Computational Linguistics (ACL)
  • REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models
    DongGeon Lee, Hwanjo Yu
    The 19th International Workshop on Semantic Evaluation (SemEval-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
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'25)
  • Uncertainty Quantification and Decomposition for LLM-based Recommendation
    Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
    The Web Conference (WWW'25)
  • Collaborative Diffusion Model for Recommender System
    Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
    The Web Conference (WWW'25)
  • Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences
    Gwangseok Han*, Wonbin Kweon*, Minsoo Kim, Hwanjo Yu
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'25)
  • 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
    ACM International Conference on Web Search and Data Mining (WSDM'25)
  • 한국어 대규모 언어모델의 수학 문제 풀이 능력 향상을 위한 한국적 수학 말뭉치 합성
    이동건, 백지수, 박원재, 유환조
    제37회 한글 및 한국어 정보처리 학술대회 (HCLT 2025)

2024

  • Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generationa
    Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu
    Conference on Empirical Methods in Natural Language Processing (EMNLP'24 Findings)
  • Taxonomy-guided Semantic Indexing for Academic Paper Search
    SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu
    Conference on Empirical Methods in Natural Language Processing (EMNLP'24 Main)
  • Continual Collaborative Distillation for Recommender System
    Gyuseok Lee*, SeongKu Kang*, Wonbin Kweon, Hwanjo Yu
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24)
  • Multi-Domain Sequential Recommendation via Domain Space Learning
    Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
    47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)
  • Rectifying Demonstration Shortcut in In-Context Learning
    Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu
    Main Conference of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL 2024
  • Exploring Language Model’s Code Generation Ability with Auxiliary Functions
    Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu
    Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL 2024
  • Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
    Su Kim, SeongKu Kang, Sukang Chae, Sanghwan Jang, Dongha Lee, Hwanjo Yu
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR'24)
  • KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark
    Seongbo Jang*, Seonghyeon Lee*, Hwanjo Yu
    The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24)
  • Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
    Wonbin Kweon, Hwanjo Yu
    The Web Conference (WWW'24)
  • Top-Personalized-K Recommendation
    Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
    The Web Conference (WWW'24)
  • Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
    SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
    The Web Conference (WWW'24)
  • Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
    Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu
    The 38th AAAI Conference on Artificial Intelligence (AAAI'24)

2023

  • Distillation from Heterogeneous Models for Top-K Recommendation
    SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
    The Web Conference (WWW'23)
  • Learning Topology-Specific Experts for Molecular Property Prediction
    Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu
    Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI'23)
  • Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation
    Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu
    Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI'23)

2022

  • Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
    Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Jiawei Han, Hwanjo Yu
    Conf. Empirical Methods in Natural Language Processing (EMNLP Findings)
  • Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
    Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
    Conf. Empirical Methods in Natural Language Processing (EMNLP Findings)
  • Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability
    Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
    ACM Conf. Information and Knowledge Management (CIKM'22)
  • A Light Bug Triage Framework for Applying Large Pre-trained Language Model
    Jaehyung Lee, Kisun Han, Hwanjo Yu
    The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE'22)
  • Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
    Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu
    Annual Meeting of the Association for Computational Linguistics (ACL'22)
  • Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
    SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
    The Web Conference (WWW'22)
  • TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
    Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
    The Web Conference (WWW'22)
  • Obtaining Calibrated Probabilities with Personalized Ranking Models
    Wonbin Kweon, SeongKu Kang, Hwanjo Yu
    Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22)

2021

  • Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
    Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
    IEEE International Conference on Data Mining (ICDM'21)
  • Learnable Structural Semantic Readout for Graph Classification
    Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
    IEEE International Conference on Data Mining (ICDM'21)
  • Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
    Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu
    IEEE International Conference on Computer Vision (ICCV'21)
  • Topology Distillation for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21)
  • Out-of-manifold Regularization in Contextual Embedding Space for Text Classification
    Seonghyeon Lee, Dongha Lee, Hwanjo Yu
    Annual Meeting of the Association for Computational Linguistics (ACL'21)
  • Bootstrapping User and Item Representations for One-Class Collaborative Filtering
    Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21)
  • Unsupervised Proxy Selection for Session-based Recommender Systems
    Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21)
  • Bidirectional Distillation for Top-K Recommender System
    Wonbin Kweon, SeongKu Kang, Hwanjo Yu
    The Web Conference (WWW'21)
  • Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
    Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
    The Web Conference (WWW'21)
  • Learnable Dynamic Temporal Pooling for Time Series Classification
    Dongha Lee, Seonghyeon Lee, Hwanjo Yu
    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21)

2020

  • Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain
    Dongmin Hyun, Junsu Cho, Hwanjo Yu
    International Conference on Computational Linguistics (COLING'20)
  • Interest Sustainability-Aware Recommender System
    Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu
    IEEE International Conference on Data Mining (ICDM'20)
  • DE-RRD: A Knowledge Distillation Framework for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    ACM Conf. Information and Knowledge Management (CIKM)
  • Multi-Modal Component Embedding for Fake News Detection
    SeongKu Kang, Junyoung Hwang, Hwanjo Yu
    IEEE Int. Conf. Ubiquitous Information Management and Communication (IMCOM)
  • Deep Rating Elicitation for New Users in Collaborative Filtering
    Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
    The Web Conference (WWW'20)
  • Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
    Junsu Cho, Hwanjo Yu, Seungjin Choi
    International Conference on Pattern Recognition (ICPR)
  • Unsupervised Differentiable Multi-aspect Network Embedding
    Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20)
  • Multi-class Data Description for Out-of-distribution Detection
    Dongha Lee, Sehun Yu, Hwanjo Yu
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20)
  • Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
    Sehun Yu, Dongha Lee, Hwanjo Yu
    International Joint Conference on Artificial Intelligence (IJCAI'20)
  • Unsupervised Attributed Multiplex Network Embedding
    Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
    Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20)

2019

  • Task-Guided Pair Embedding in Heterogeneous Network
    Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
    ACM Conf. Information and Knowledge Management (CIKM'19)
  • BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network
    Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
    ACM Conf. Information and Knowledge Management (CIKM'19)
  • Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users
    SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu
    ACM Conf. Information and Knowledge Management (CIKM'19)
  • Sequential and Diverse Recommendation with Long Tail
    Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu
    International Joint Conference on Artificial Intelligence (IJCAI'19)
  • Action Space Learning for Heterogeneous User Behavior Prediction
    Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu
    International Joint Conference on Artificial Intelligence (IJCAI'19)

2018

  • Fast Tucker Factorization for Large-scale Tensor Completion
    Dongha Lee, Jaehyung Lee, Hwanjo Yu
    IEEE International Conference on Data Mining (ICDM'18)
  • Collaborative Translational Metric Learning
    Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
    IEEE International Conference on Data Mining (ICDM'18)
  • Out-of-domain Detection based on Generative Adversarial Network
    Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee
    Conf. Empirical Methods in Natural Language Processing
  • Disk-based Matrix Completion for Memory Limited Devices
    Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu
    ACM Conf. Information and Knowledge Management (CIKM'18)
  • DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams
    Gyoung S. Na, Donghyun Kim, Hwanjo Yu
    ACM Conf. Knowledge Discovery and Data Mining (SIGKDD)
  • Review Sentiment-Guided Scalable Deep Recommender System
    DM Hyun, CY Park, MC Yang, IH Song, JT Lee, H Yu
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '18 Short)
  • DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding
    Dongha Lee, Hyunjun Ju, Jung-Mi Park, Kye-Yoon Kim, Hwanjo Yu
    ACM International Conference on Ubiquitous Information Management and Communication (IMCOM)
  • Sentiment Classification With Convolutional Neural Network using Multiple Word Representations
    Hyunjun Ju, Hwanjo Yu
    ACM International Conference on Ubiquitous Information Management and Communication (IMCOM)

2017

  • DiagTree: Diagnostic Tree for Differential Diagnosis
    Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu
    ACM Conf. Information and Knowledge Management
  • Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins
    Jingyun Choi, Yejin Kim, Hun Sung Kim, In Young Choi, Hwanjo Yu
    ACM Int. Conf. on Bioinformatics, Computational Biology,and Health Informatics
  • Federated Tensor Factorization for Computational Phenotyping
    Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
    ACM Conf. Knowledge Discovery and Data Mining
  • Do "Also-Viewed" Products Help User Rating Prediction?
    Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
    26th International World-Wide Web Conference
  • S-HOT: Scalable High-Order Tucker Decomposition
    Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu
    ACM Int. Conf. Web Search and Data Mining
  • Two-stage Approach to Named Entity Recognition using Wikipedia and DBpedia
    Seonghan Ryu, Hwanjo Yu, Gary Geunbae lee
    ACM Int. Conf. Ubiquitous Information Management and Communication (IMCOM)
  • Answer Ranking based on Named Entity Types for Question Answering
    Sangdo an, Soonchoul Kwon, Hwanjo Yu, Gary Geunbae lee
    ACM Int. Conf. Ubiquitous Information Management and Communication

2016

  • Convolutaional Matrix Factorization for Document Context-Aware Recommendation
    Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu, Sungyong Lee
    10th ACM Conference on Recommender Systems
  • Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization
    Muhammad Humayoun, Hwanjo Yu
    10th edition of the Language Resources and Evaluation Conference
  • TRecSo: Enhancing Top-k Recommendation With Social Information
    Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
    25th International World-Wide Web Conference
  • Mathematical Model for Processing Multi-user Requests on POMDP Hybrid Dialog Management
    Sangjun Koo, Hwanjo Yu, Gary Geunbae lee
    ACM Int. Conf. Ubiquitous Information Management and Communication

2015

  • Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy
    YJ Kim, Y Park, J Lee, I Choi, D Kim, H Yu
    ACM Ninth Int. Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO '15)
  • Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling
    Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
    ACM Recommender Systems Challenge (RecSysChallenge '15)
  • Fast and Robust Parallel SGD Matrix Factorization
    Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang
    ACM Conf. Knowledge Discovery and Data Mining (KDD'15)

2014

  • Identifying cancer subtypes based on somatic mutation profile
    Sungchul Kim, Lee Sael, Hwanjo Yu
    DTMBIO 2014
  • OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs
    J Kim, WS Han, S Lee, K Park, H Yu
    ACM SIGMOD International Conference on Management of Data (SIGMOD '14)

2013

  • TurboGraph: A Fast Parallel Graph Engine Handling Billion-Scale Graphs in a Single PC
    WS Han, S Lee, K Park, J Lee, M Kim, J Kim, H Yu
    ACM Conf. Knowledge Discovery and Data Mining (KDD'13)
  • Don't be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets
    S Jeon, S Kim, H Yu
    Int. AAAI Conf. Weblogs and Social Media (ICWSM'13)
  • Scalable and Parallelizable Processing of Influence Maximization for Large-Scale Social Network
    Jinha Kim, Seung-Keol Kim, Hwanjo Yu
    IEEE International Conference on Data Engineering (ICDE '13) Best poster award (out of 150 full and short papers)
  • Fast Protein 3D Surface Search
    null
    Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication (ICUIMC '13)

2012

  • Finding Core Topics: Topic Extraction with Clustering on Tweet
    Sungchul Kim, Sungho Jeon, Jinha Kim, Young-Ho Park, Hwanjo Yu
    Cloud and Green Computing (CGC), 2012 Second International Conference on
  • Time-Dependent User Profiling for TV Recommendation
    Jinoh Oh, Youngchul Sung, Jinha Kim, Humayoun, M., Young-Ho Park, Hwanjo Yu
    Cloud and Green Computing (CGC), 2012 Second International Conference on
  • Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia
    Sungchul Kim, Kristina Toutanova, Hwanjo Yu
    Annual Meeting of the Association for Computational Linguistics
  • CT-IC: Continuously activated and Time-restricted Independent Cascade Model for Viral Marketing
    Wonyeol Lee, Jinha Kim, Hwanjo Yu
    IEEE International Conference on Data Mining (ICDM'12)
  • Indexing methods for efficient protein 3D surface search
    Sungchul Kim, Lee Sael, Hwanjo Yu
    ACM Sixth Int. Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO'12)
  • iSampling: Framework for Developing Sampling Methods Considering User's Interest
    Jinoh Oh, Hwanjo Yu
    ACM Int. Conf. on Information and Knowledge Management (CIKM'12)
  • GeoSearch: Georeferenced Video Retrieval System
    Youngwoo Kim, Jinha Kim, Hwanjo Yu
    ACM Conf. Knowledge Discovery and Data Mining (KDD'12)
  • PubMed Search and Exploration with Real-Time Semantic Network Construction
    Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu
    ACM Conf. Knowledge Discovery and Data Mining (KDD'12)

2011

  • Novel Recommendation based on Personal Popularity Tendency
    Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park
    ICDM 2011: IEEE International Conference on Data Mining
  • Advertiser-Centric Approach to Understand User Click Behavior in Sponsored Search
    Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu
    CIKM 2011: The 20th ACM international conference on Information and knowledge management
  • Protecting Location Privacy using Location Semantics
    Byoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim
    KDD 2011: ACM Conf. Knowledge Discovery and Data Mining
  • Exact Indexing for Support Vector Machines
    Hwanjo Yu, Ilhwan Ko, Youngdae Kim, Seung-won Hwang, Wook-Shin Han
    SIGMOD 2011: ACM Conf. Management of Database
  • 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 2011: ACM Conf. Management of Database

2010

  • Processing SPARQL Queries with Regular Expressions in RDF Databases
    Lee Jinsoo, Pham Minh-Duc, Lee Jihwan, Han Wook-Shin, Cho Hune, Yu Hwanjo, Lee Jeong-Hoon
    DTMBIO 2010: ACM Workshop on Data and Text Mining in Bioinformatics
  • Passive Sampling for Regression
    Hwanjo Yu, Sungchul Kim
    ICDM 2010: The 10th IEEE International Conference on Data Mining
  • RankSVR: Can Preference Data Help Regression?
    Hwanjo Yu, Sungchul Kim, Seung-Hoon Na
    CIKM 2010: ACM Conf. Information and Knowledge Management
  • Combining Active Learning and Semi-supervised Learning Techniques to Extract Protein Interaction Sentences
    Min Song, Hwanjo Yu, Wook-Shin Han
    BIOKDD 2010: International Workshop on Data Mining in Bioinformatics
  • Dynamic Concept Ontology Construction for PubMed Queries
    Jinoh Oh, Taehoon Kim, Sun Park, Wook-Shin Han and Hwanjo Yu
    DTMBIO 2010: ACM Workshop on Data and Text Mining in Bioinformatics
  • On Supporting Effective Web Extraction
    Wook-Shin Han, Wooseong Kwak and Hwanjo Yu
    ICDE 2010: Int. Conf. on Data Engineering

2009

  • Efficient Feature Weighting Method for Ranking
    Hwanjo Yu, Jinoh Oh, WookShin Han
    ACM Conf. on Information and Knowledge Management, 2009. (CIKM'09)
  • Enabling Multi-Level Relevance Feedback on PubMed by Integrating Rank Learning into DBMS
    Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim and Wook-Shin Han
    ACM Workshop on Data and Text Mining in Bioinformatics, 2009. (DTMBIO'09)
  • RefMed: Relevance Feedback Retrieval System for PubMed
    Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim
    ACM Conf. on Information and Knowledge Management, 2009. (CIKM'09)
  • VRIFA: A Nonlinear SVM Visualization Tool using Nomogram and LRBF Kernels
    Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho
    ACM Conf. on Information and Knowledge Management, 2009. (CIKM'09)
  • Ranking Vector Machine: An Efficient Method for Learning Ranking SVM
    Hwanjo Yu, Youngdae Kim, Seungwon Hwang
    Pacific-Asia Conf. on Knowledge Discovery and Data Mining, 2009. (PAKDD'09)
  • Fault Detection in IP-Based Process Control Networks using Data Mining Technique
    Byungchul Park, Young J. Won, Hwanjo Yu, James Won-Ki Hong, Hong-Sun Noh, Jang Jin Lee
    IFIP/IEEE Int. Symp. on Integrated Management, 2009.

2007

  • Mining and Processing Category Ranking
    Seung-won Hwang, Hwanjo Yu
    ACM SAC Data Mining Track, 2007.03.

2006

  • Privacy-Preserving SVM Classification on Vertically Partitioned Data
    Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang
    Pacific-Asia Conf. on Knowledge Discovery and Data Mining, 2006. (PAKDD'06)
  • Privacy-Preserving SVM using Nonlinear Kernels on Horizontally Partitioned Data
    Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
    ACM SAC Data Mining Track, 2006. (ACM SAC'06)

2005

  • SVM Selective Sampling for Ranking with Application to Data Retrieval
    Hwanjo Yu
    ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2005. (KDD'05)
  • RankFP: A Framework for Supporting Rank Formulation and Processing
    Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang
    Int. Conf. on Data Engineering, 2005. (ICDE'05)
  • Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs
    Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu
    Siam Data Mining Conf., 2005. (SDM'05)

2004

  • Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining
    Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han
    Int. Conf. on Data Mining, 2004. (ICDM'04)

2003

  • Classifying Large Data Sets Using SVM with Hierarchical Clusters
    Hwanjo Yu, Jiong Yang, Jiawei Han
    ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2003. (KDD'03)
  • SVMC: Single-Class Classification With Support Vector Machines
    Hwanjo Yu
    Int. Joint Conf. on Artificial Intelligence, 2003. (IJCAI'03)
  • Text Classification from Positive and Unlabeled Documents
    Hwanjo Yu, ChengXiang Zhai, Jiawei Han
    Int. Conf. on Information and Knowledge Management, 2003.
  • Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines
    Yu, H., Yang, J., Wang, W., Han, J.
    IEEE Computer Society Bioinformatics Conf., 2003. (CSB'03)
  • General MC: Estimating Boundary of Positive Class from Small Positive Data
    Hwanjo Yu
    IEEE Int. Conf. on Data Mining, 2003. (ICDM'03)

2002

  • PEBL: Positive Example Based Learning for Web Page Classification Using SVM
    Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang
    ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2002. (KDD'02)
  • Heterogeneous Learner for Web Page Classification
    Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han
    IEEE Int. Conf. on Data Mining, 2002 (ICDM'02)

2001

  • Does Visualization Improve Our Ability To Find And Learn From Internet Based Information?
    Daniel A. Kauwell, Jim Levin, Hwan Jo Yu, Young Jin Lee, Jeff Ellen, Arun Bahalla
    ACM SIGIR Int. Conf. on Research and Development in Information Retrieval, 2001. (SIGIR'01)

2000

  • Knowledge Construction With Visual Representations Of Distributed Information
    Daniel A. Kauwell, James Levin, Young Jin Lee , Hwan Jo Yu
    Int. World Wide Web Conf., 2000. (WWW'00)
  • Visualization of Web-Based Searches With Knowledge Construction Tools
    null
    Symp. on Human Interaction with Complex Systems, Global Interaction through Information Technology, 2000. (HICS'00)

null

  • Improving Scientific Document Retrieval with Academic Concept Index
    null
    null

2026

  • BPL: Bias-Adaptive Preference Distillation Learning For recommender System
    SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
    IEEE Transactions on Knowledge and Data Engineering

2025

  • Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems
    SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
    ACM Transactions on Recommender Systems
  • 대규모 언어 모델에서 불필요한 추론 단계 탐지: 증강된 수학적 추론 체인을 이용한 평가
    이대엽, 유환조
    제37회 한글 및 한국어 정보처리 학술대회 (HCLT 2025)
  • 항체 항원 결합부위 예측을 위한 준지도 학습 기법
    손정우, 유환조
    2025 한국컴퓨터종합학술대회 (KCC 2025)
  • 다중 추론 검색 증강 생성을 위한 데이터 합성과 학습 방법
    이규민, 전민진, 장상환, 이동건, 유환조
    2025 한국컴퓨터종합학술대회 (KCC 2025)

2024

  • 노이즈가 있는 학습 데이터에 효과적인 임베딩 조정을 사용한 시계열 이상 탐지 방법
    류지호, 이성제, 유환조
    2024년도 한국통신학회 추계종합학술발표회
  • 하이퍼그래프 신경망 기반 다음 장바구니 추천
    정은아, 권원빈, 유환조
    2024 한국컴퓨터종합학술대회 (KCC 2024)
  • 거대 텍스트-to-이미지 생성 모델을 활용한 주차 판별 작업 데이터 증강
    김남우, 강병우, 한광석, 유환조
    2024년도 한국통신학회 하계종합학술발표회
  • Text-to-Image 멀티모달 신경망 아키텍쳐를 활용한 객체추적 알고리즘
    강병우, 김남우, 유환조
    2024년도 한국통신학회 하계종합학술발표회
  • 정확성-다양성 딜레마 완화를 위한 손실 함수 가중치 재조정 전략
    한광석, 권원빈, 유환조
    2024년도 한국통신학회 하계종합학술발표회

2023

  • Calibrating Deep Learning Model for Medical AI Applications with Imbalanced Data
    Gyuseok Lee, Hwanjo Yu
    2023년도 한국통신학회 하계종합학술발표회

2022

  • Mitigating viewpoint sensitivity of self-supervised one-class classifiers
    Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu
    Information Sciences
  • Personalized Knowledge Distillation for Recommender System
    SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu
    Knowledge-Based Systems (SCI)
  • 반도체 분야의 논문을 위한 비지도 방식의 추출형 요약
    이준영, 현동민, 유환조
    2022 한국정보기술학회 추계 종합학술대회 (KIIT 2022)
  • 인기도 편향 문제 해결을 위한 임베딩 전이 기법
    곽창수, 권원빈, 유환조
    2022 한국소프트웨어종합학술대회 (KSC 2022)
  • 점진적 선호도 분해를 통한 그래프 기반 평점 예측 모델
    이재현, 강성구, 유환조
    2022 한국통신학회 종합학술발표회 (KICS 2022)
  • 다중클래스 양성 데이터와 레이블이 존재하지 않는 데이터를 이용한 시계열 이상탐지
    홍우헌, 유환조
    2022 한국컴퓨터종합학술대회 (KCC 2022)

2021

  • Item-side Ranking Regularized Distillation for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    Information Sciences
  • Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation
    Yosep Chong, Nishant Thakur, Ji Young Lee, Gyoyeon Hwang, Myungjin Choi, Yejin Kim, Hwanjo Yu, Mee Yon Cho
    DIAGNOSTIC PATHOLOGY
  • 첫 시작 ​​사용자에 대한 크로스 도메인 추천시스템에서의 중복하지 않는 사용자를 활용하기 위한 순환 일관성 기법
    유주영, 황준영, 유환조
    2021 한국소프트웨어종합학술대회 (KSC 2021)

2020

  • Learning to Utilize Auxiliary Reviews for Recommendation
    Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
    Information Sciences
  • Generating Sequential Electronic Health Records using Dual Adversarial Autoencoder
    Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuichen Zhang, Li Xiong
    Journal of the American Medical Informatics Association
  • Harmonized Representation Learning on Dynamic EHR Graphs
    Dongha Lee, Xiaoqian Jiang, Hwanjo Yu
    Journal of Biomedical Informatics
  • PUMAD: PU Metric Learning for Anomaly Detection
    Hyunjun Ju, Dongha Lee, Junyoung Hwang, Junghyun Namkung, Hwanjo Yu
    Information Sciences
  • Deep Multiplex Graph Infomax: Attentive Multiplex Network Embedding using Global Information
    Chanyoung Park, Jiawei Han, Hwanjo Yu
    Knowledge-Based Systems (SCI)
  • Click-aware Purchase Prediction with Push at the Top
    Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu
    Information Sciences
  • Input Initialization for Inversion of Neural Networks Using k-Nearest Neighbor Approach
    Seongbo Jang, Ye-Eun Jang, Young-Jin Kim, Hwanjo Yu
    Information Sciences
  • Scalable Disk-Based Topic Modeling for Memory Limited Devices
    Byungju Kim, Dongha Lee, Jinoh Oh, Hwanjo Yu
    Information Sciences
  • Fast and Memory-Efficient Algorithms for High-Order Tucker Decomposition
    Jiyuan Zhang, Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu
    Knowledge and Information Systems (KAIS)
  • OCAM: Out-of-core Coordinate Descent Algorithm for Matrix Completion
    Dongha Lee, Jinoh Oh, Hwanjo Yu
    Information Sciences
  • 확장순환신경망을 이용한 세션기반 추천시스템
    이성제, 유환조
    2020 한국컴퓨터종합학술대회 (KCC 2020)

2019

  • Adversarial Approach to Domain Adaptation for Reinforcement Learning on Dialog Systems
    Hwanjo Yu, Gary Geunbae Lee
    Pattern Recognition Letters
  • An Encoder-Decoder Switch Network for Purchase Prediction
    Chanyoung Park, Donghyun Kim, Hwanjo Yu
    Knowledge-Based Systems (SCI)
  • Target-aware convolutional neural network for target-level sentiment analysis
    Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
    Information Sciences
  • 시간 순서를 고려한 추천 시스템에서의 어텐션 기법
    이성현, 유환조
    2019 한국컴퓨터종합학술대회 (KCC 2019)

2018

  • Phenotyping of Korean patients with better-than-expected efficacy of moderate-intensity statins using tensor factorization
    Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu
    PLOS ONE

2017

  • Deep Hybrid Recommender Systems via Exploiting Document Context and Statistics of Items
    Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu
    Information Sciences
  • Scalable and Parallelizable Influence Maximization with Random Walk Ranking and Rank Merge Pruning
    Seungkeol Kim, Dongeun Kim, Jinoh Oh, Jeong-Hyon Hwang, Wook-Shin Han, Wei Chen, Hwanjo Yu
    Information Sciences
  • RecTime: Real-Time Recommender System for Online Broadcasting
    Yoojin Park, Jinoh Oh, Hwanjo Yu
    Information Sciences
  • Influence maximization based on reachability sketches in dynamic graphs
    Dongeun Kim, Dongmin Hyeon, Jinoh Oh, Wook-Shin Han, Hwanjo Yu
    Information Sciences
  • Smartphone dependence classification using tensor factorization
    Mi Jung Rho, Yejin Kim, In Hye Yook, Hwanjo Yu, Dai-Jin Kim , In Young Choi
    Plos One
  • Discriminative and distinct phenotyping by constrained tensor factorization
    Yejin Kim, Robert El-Kareh, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
    Scientific Reports
  • 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 Recognition Letters
  • 대용량 및 스트림 데이터 처리를 위한 비모수적 밀도 요약
    나경석, 유환조
    2017 한국소프트웨어종합학술대회 (KSC 2017)
  • 장소 추천을 위한 세 가지 쌍방 조건식을 활용한 Top-K 협업 랭킹 모델
    차명섭, Phanit Van, 유환조
    2017 한국소프트웨어종합학술대회 (KSC 2017)
  • k-평균 알고리즘을 통한 행렬 원소 양자화를 이용한 행렬 분해 기법 모델 크기 압축
    조준수, 이동하, 유환조
    Korea DataBase Conference 2017(KDBC 2017)

2016

  • Is lymphovascular invasion a powerful predictor for biochemical recurrence in pT3 N0 prostate cancer?: Results from the K-CaP database
    Yejin Kim, Hwanjo Yu, Inyoung Choi, Seok-Soo Byun, Cheol Kwak, Byung Ha Chung, Hyun Moo Lee, Choung Soo Kim
    Scientific Reports
  • Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-control
    Jo-Eun Jeong, Hyun Cho , Dong-Jin Jung, Minjung Kwak, Mi Jung Rho, Hwanjo Yu, Dai-Jin Kim, In Young Choi
    Plos One
  • GeoVideoIndex: Indexing for georeferenced videos
    Dongha Lee, Jinoh Oh, Woong-Kee Loh, Hwanjo Yu
    Information Sciences
  • Improving top-K recommendation with truster and trustee relationship in user trust network
    Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
    Information Sciences
  • 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, Hwanjo Yu
    BMC Medical Informatics and Decision Making (SCI-E)
  • Spoiler detection in TV program tweets
    Sungho Jeon, Sungchul Kim, Hwanjo Yu
    Information Sciences
  • 추천시스템에서의 Cold-Start 문제에 관한 연구 동향
    김동현, 박찬영, 오진오, 유환조
    정보과학회지

2015

  • Fast Density-based Clustering through Dataset Partition Using Graphics Processing Units
    WK Loh, H Yu
    Information Sciences
  • A Mutation Profile for Top-k Patient Search Exploiting Gene-Ontology and Orthogonal Non-negative Matrix Factorization
    Sungchul Kim, Lee Sael and Hwanjo Yu
    Bioinformatics
  • LMDS-based Approach for Efficient Top-k Local Ligand-Binding Site Search
    Sungchul Kim, Lee Sael and Hwanjo Yu
    IJDMB(SCI-E)
  • Developing a hybrid dictionary-based bio-entity recognition technique
    Min Song, Hwanjo Yu, Wook-Shin Han
    BMC Medical Informatics and Decision Making (SCI-E)
  • 사용자의 시청 패턴을 반영한 TV 추천 시기 결정
    박유진, 오진오, 유환조
    2015 한국컴퓨터종합학술대회(KCC 2015)
  • 스케치에 기반한 동적 그래프에서의 영향력 최대화
    김동은, 유환조
    2015 한국컴퓨터종합학술대회(KCC 2015)

2014

  • When to recommend: A new issue on TV show recommendation
    J. Oh, S. Kim, J. Kim, H Yu
    Information Sciences (SCI)
  • Advertiser-Centric Approach to Understand User Click Behavior in Sponsored Search
    S Kim, T Qin, TY Liu, H Yu
    Information Sciences (SCI)
  • CT-IC: Continuously activated and Time-restricted Independent Cascade Model for Viral Marketing
    J Kim, W Lee, H Yu
    Knowledge-Based Systems (SCI)
  • GeoTree: Using Spatial Information for Georeferenced Video Search
    Y Kim, J Kim, H Yu
    Knowledge-Based Systems (SCI)
  • Leveraging Spatial Join for Robust Tuple Extraction from Web Pages
    Wook-Shin Han, Wooseong Kwak, Hwanjo Yu, Jeong-Hoon Lee, Min-Soo Kim
    Information Sciences
  • iKernel: Exact Indexing for Support Vector Machines
    Youngdae Kim, Ilhwan Ko, Wook-Shin Han, Hwanjo Yu
    Information Sciences
  • 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
    Information Sciences
  • 단어 기반의 온라인 광고 퀄리티 측정 및 최적화 방법론
    김성철, 유환조
    정보과학회지
  • 추천 시스템
    오진오, 유환조
    정보과학회지

2013

  • Efficient protein structure search using indexing methods
    Sungchul Kim, Lee Sael and Hwanjo Yu
    BMC Medical Informatics and Decision Making
  • Efficient semantic network construction with application to PubMed search
    Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu, Young Ho Lee
    Knowledge based Systems
  • 메타패스를 사용한 영화추천시스템
    null
    데이타베이스연구

2012

  • An Efficient Method for Learning Nonlinear Ranking SVM Functions
    H Yu, J Kim, Y Kim, S Hwang, YH Lee
    Information Science

2011

  • Combining Active Learning and Semi-Supervised Learning Techniques to Extract Protein Interaction Sentences
    Min Song, Hwanjo Yu, Wook-Shin Han
    BMC Bioinformatics
  • 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
    BMC BIoinformatics, Springer, 12
  • Selective sampling techniques for feedback-based data retrieval
    Hwanjo Yu
    Data Mining and Knowledge Discovery
  • Hessian Matrix Distribution for Bayesian Policy Gradient Reinforcement Learning
    Ngo Anh Vien, Hwanjo Yu, TaeChoong Chung
    Information Science

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 Bioinformatics
  • VRIFA: LRBF 커널과 Nomogram을 이용한 예측 및 비선형 SVM 시각화도구
    Sungchul Kim, Hwanjo Yu
    한국멀티미디어학회 13권 1호
  • 랭킹 데이타를 활용한 회귀분석 성능 개선
    나승훈, 김성철, 유환조
    데이타베이스연구 26권 1호

2009

  • RV-SVM: An Efficient Method for Learning Ranking SVM
    Hwanjo Yu, Youngdae Kim, Seungwon Hwang
    Lecture Notes in Computer Science (LNCS)
  • 랭킹 SVM과 RDBMS의 밀결합 통합 - Tightly coupled Integration of Ranking SVM and RDBMS
    Jaehwan Song, Jinoh Oh, Eunseok Yang, Hwanjo Yu
    정보과학회논문지:데이터베이스 36권 4호 247-253

2008

  • Supporting Personalized Ranking over Categorical Attributes
    Gae-won You, Seung-won Hwang, Hwanjo Yu
    Information Science
  • Nonlinear Support Vector Machine Visualization for Risk Factor Analysis using Nomograms and Localized Radial Basis Function Kernels
    Baek Hwan Cho, Hwanjo Yu, Jongshill Lee, Young Joon Chee, In Young Kim, Sun I. Kim
    IEEE Transactions on Information Technology in Biomedicine
  • Privacy-Preserving SVM Classification
    Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
    Knowledge and Information Systems
  • 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, In Young Kim, Sun I. Kim
    Artificial Intelligence in Medicine
  • 밀겹합 접근법 기반의 Ranking SVM과 RDBMS의 통합
    Jaehwan Song, Jinoh Oh, Eunseok Yang, Hwanjo Yu
    한국정보과학회 2008 가을 학술발표논문집 제35권 제2호(A) 제35회 정보과학회 추계학술대회 (추계2008 우수논문 및 정보과학회논문지 초청논문선정), 2008.

2007

  • Enabling Soft Queries for Data Retrieval
    Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang
    Information Systems

2006

  • Computer-aided Classification of Interstitial Lung Disease via MDCT: 3D Adaptive Multiple Feature Method (3D AMFM)
    Ye Xu, Edwin J.R. van Beek, Yu Hwanjo, Junfeng Guo, Geoffrey McLennan, Eric A. Hoffman
    Academic Radiology
  • Privacy-Preserving SVM Classification on Vertically Partitioned Data
    Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang
    Advances in Knowledge Discovery and Data Mining

2005

  • Single-Class Classification with Mapping Convergence
    Hwanjo Yu
    Machine Learning
  • Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing
    Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li
    Data Mining and Knowledge Discovery

2004

  • PEBL: Web Page Classification without Negative Examples
    Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang
    IEEE Transactions on Knowledge and Data Engineering