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)

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

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