Hwanjo Yu - RankMe

267 papers A* 64A 21B 5C 1Misc 3Journal 126Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BPL: Bias-Adaptive Preference Distillation Learning For Recommender System. IEEE Trans. Knowl. Data Eng. SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2026	J	`jnl`	COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs. CoRR Dasol Choi, Donggeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, Haon Park, Hwanjo Yu, Minsuk Kahng
2026	A	`conf`	Capturing User Interests from Data Streams for Continual Sequential Recommendation. WSDM Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu
2026	A*	`conf`	Dynamic Multi-period Experts for Online Time Series Forecasting. WWW Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu
2026	J	`jnl`	Dynamic Multi-period Experts for Online Time Series Forecasting. CoRR Seungha Hong, Sukang Chae, Suyeon Kim, Sanghwan Jang, Hwanjo Yu
2026	—	`conf`	Exploring Iterative Controllable Summarization with Large Language Models. EACL (Findings) Sangwon Ryu, Heejin Do, Daehui Kim, Hwanjo Yu, Dongwoo Kim, Yunsu Kim, Gary Lee, Jungseul Ok
2026	A*	`conf`	Harmonic Dataset Distillation for Time Series Forecasting. AAAI Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu
2026	J	`jnl`	Harmonic Dataset Distillation for Time Series Forecasting. CoRR Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu
2026	J	`jnl`	Improving Scientific Document Retrieval with Academic Concept Index. CoRR Jeyun Lee, Junhyoung Lee, Wonbin Kweon, Bowen Jin, Yu Zhang, Susik Yoon, Dongha Lee, Hwanjo Yu, Jiawei Han, SeongKu Kang
2026	A*	`conf`	PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. WWW Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
2026	J	`jnl`	VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation. CoRR Junyoung Kim, Woojoo Kim, Jaehyung Lim, Dongha Kim, Hwanjo Yu
2025	A*	`conf`	Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study. EMNLP Donggeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu
2025	J	`jnl`	Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study. CoRR Donggeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu
2025	J	`jnl`	BPL: Bias-adaptive Preference Distillation Learning for Recommender System. CoRR SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2025	—	`conf`	Collaborative Diffusion Model for Recommender System. WWW (Companion Volume) Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
2025	J	`jnl`	Collaborative Diffusion Model for Recommender System. CoRR Gyuseok Lee, Yaochen Zhu, Hwanjo Yu, Yao Zhou, Jundong Li
2025	—	`conf`	Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences. KDD (1) Gwangseok Han, Wonbin Kweon, Minsoo Kim, Hwanjo Yu
2025	—	`conf`	Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. KDD (2) Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
2025	J	`jnl`	Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. CoRR Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
2025	J	`jnl`	Everyday Physics in Korean Contexts: A Culturally Grounded Physical Reasoning Benchmark. CoRR Jihae Jeong, DaeYeop Lee, Donggeon Lee, Hwanjo Yu
2025	A	`conf`	Federated Continual Recommendation. CIKM Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu
2025	J	`jnl`	Federated Continual Recommendation. CoRR Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu
2025	J	`jnl`	From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents. CoRR Seongbo Jang, Minjin Jeon, Jaehoon Lee, Seonghyeon Lee, Dongha Lee, Hwanjo Yu
2025	—	`conf`	How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. EMNLP (Findings) Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu
2025	J	`jnl`	How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. CoRR Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu
2025	A	`conf`	Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. WSDM SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
2025	J	`jnl`	Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. CoRR SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
2025	J	`jnl`	Leveraging Historical and Current Interests for Continual Sequential Recommendation. CoRR Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu
2025	J	`jnl`	MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models. CoRR Suchan Lee, Jihoon Choi, Sohyeon Lee, Minseok Song, Bong-Gyu Jang, Hwanjo Yu, Soyeon Caren Han
2025	J	`jnl`	On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval. CoRR Seongbo Jang, Seonghyeon Lee, Dongha Lee, Hwanjo Yu
2025	J	`jnl`	PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. CoRR Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
2025	J	`jnl`	Personalized Federated Recommendation With Knowledge Guidance. CoRR Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Dongha Kim, Hwanjo Yu
2025	J	`jnl`	Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment. CoRR Namu Kim, Wonbin Kweon, Minsoo Kim, Hwanjo Yu
2025	J	`jnl`	REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models. CoRR Donggeon Lee, Hwanjo Yu
2025	J	`jnl`	STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models. CoRR Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu
2025	A*	`conf`	StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models. EMNLP Kyumin Lee, Minjin Jeon, Sanghwan Jang, Hwanjo Yu
2025	A*	`conf`	Topic Coverage-based Demonstration Retrieval for In-Context Learning. EMNLP Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu
2025	J	`jnl`	Topic Coverage-based Demonstration Retrieval for In-Context Learning. CoRR Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu
2025	J	`jnl`	Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. Trans. Recomm. Syst. SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2025	A*	`conf`	Uncertainty Quantification and Decomposition for LLM-based Recommendation. WWW Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
2025	J	`jnl`	Uncertainty Quantification and Decomposition for LLM-based Recommendation. CoRR Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu
2025	—	`conf`	Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning. ACL (Findings) Joonwon Jang, Jaehee Kim, Wonbin Kweon, Seonghyeon Lee, Hwanjo Yu
2024	A*	`conf`	Continual Collaborative Distillation for Recommender System. KDD Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu
2024	J	`jnl`	Continual Collaborative Distillation for Recommender System. CoRR Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu
2024	J	`jnl`	Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences. CoRR Gwangseok Han, Wonbin Kweon, Minsoo Kim, Hwanjo Yu
2024	J	`jnl`	Deep Rating Elicitation for New Users in Collaborative Filtering. CoRR Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
2024	J	`jnl`	Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random. CoRR Wonbin Kweon, Hwanjo Yu
2024	A*	`conf`	Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. WWW Wonbin Kweon, Hwanjo Yu
2024	—	`conf`	Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. EMNLP (Findings) Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu
2024	J	`jnl`	Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. CoRR Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu
2024	—	`conf`	Exploring Language Model's Code Generation Ability with Auxiliary Functions. NAACL-HLT (Findings) Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu
2024	J	`jnl`	Exploring Language Model's Code Generation Ability with Auxiliary Functions. CoRR Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu
2024	J	`jnl`	Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks. CoRR Jaehyun Lee, SeongKu Kang, Hwanjo Yu
2024	A*	`conf`	Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
2024	J	`jnl`	Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
2024	—	`conf`	KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. LREC/COLING Seongbo Jang, Seonghyeon Lee, Hwanjo Yu
2024	J	`jnl`	KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. CoRR Seongbo Jang, Seonghyeon Lee, Hwanjo Yu
2024	A*	`conf`	Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CVPR Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu
2024	J	`jnl`	Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CoRR Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu
2024	A*	`conf`	Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. AAAI Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu
2024	J	`jnl`	Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. CoRR Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu
2024	A*	`conf`	Multi-Domain Sequential Recommendation via Domain Space Learning. SIGIR Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
2024	—	`conf`	Rectifying Demonstration Shortcut in In-Context Learning. NAACL-HLT Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu
2024	J	`jnl`	Rectifying Demonstration Shortcut in In-Context Learning. CoRR Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu
2024	A*	`conf`	Taxonomy-guided Semantic Indexing for Academic Paper Search. EMNLP SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu
2024	J	`jnl`	Taxonomy-guided Semantic Indexing for Academic Paper Search. CoRR SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu
2024	A*	`conf`	Top-Personalized-K Recommendation. WWW Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
2024	J	`jnl`	Top-Personalized-K Recommendation. CoRR Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu
2024	J	`jnl`	Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria. CoRR Joonwon Jang, Jaehee Kim, Wonbin Kweon, Hwanjo Yu
2023	A*	`conf`	Distillation from Heterogeneous Models for Top-K Recommendation. WWW SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023	J	`jnl`	Distillation from Heterogeneous Models for Top-K Recommendation. CoRR SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023	A*	`conf`	Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. AAAI Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu
2023	J	`jnl`	Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. CoRR Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu
2023	A*	`conf`	Learning Topology-Specific Experts for Molecular Property Prediction. AAAI Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu
2023	J	`jnl`	Learning Topology-Specific Experts for Molecular Property Prediction. CoRR Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu
2022	A*	`conf`	A Light Bug Triage Framework for Applying Large Pre-trained Language Model. ASE Jaehyung Lee, Kisun Han, Hwanjo Yu
2022	A	`conf`	Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CIKM Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
2022	J	`jnl`	Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CoRR Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
2022	A*	`conf`	Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. WWW SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
2022	J	`jnl`	Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. CoRR SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu
2022	—	`conf`	Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022	J	`jnl`	Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022	J	`jnl`	Mitigating viewpoint sensitivity of self-supervised one-class classifiers. Inf. Sci. Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu
2022	A*	`conf`	Obtaining Calibrated Probabilities with Personalized Ranking Models. AAAI Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2022	J	`jnl`	Personalized Knowledge Distillation for Recommender System. Knowl. Based Syst. SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu
2022	A*	`conf`	TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
2022	J	`jnl`	TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu
2022	—	`conf`	Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. EMNLP (Findings) Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
2022	J	`jnl`	Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. CoRR Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han
2022	—	`conf`	Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. ACL (1) Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu
2022	J	`jnl`	Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. CoRR Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu
2021	A*	`conf`	Bidirectional Distillation for Top-K Recommender System. WWW Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2021	J	`jnl`	Bidirectional Distillation for Top-K Recommender System. CoRR Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2021	A*	`conf`	Bootstrapping User and Item Representations for One-Class Collaborative Filtering. SIGIR Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
2021	J	`jnl`	Bootstrapping User and Item Representations for One-Class Collaborative Filtering. CoRR Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
2021	J	`jnl`	Item-side ranking regularized distillation for recommender system. Inf. Sci. SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2021	A*	`conf`	Learnable Dynamic Temporal Pooling for Time Series Classification. AAAI Dongha Lee, Seonghyeon Lee, Hwanjo Yu
2021	J	`jnl`	Learnable Dynamic Temporal Pooling for Time Series Classification. CoRR Dongha Lee, Seonghyeon Lee, Hwanjo Yu
2021	A*	`conf`	Learnable Structural Semantic Readout for Graph Classification. ICDM Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2021	J	`jnl`	Learnable Structural Semantic Readout for Graph Classification. CoRR Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2021	A*	`conf`	Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. WWW Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
2021	J	`jnl`	Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. CoRR Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
2021	J	`jnl`	Learning to utilize auxiliary reviews for recommendation. Inf. Sci. Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
2021	J	`jnl`	Multi-Class Data Description for Out-of-distribution Detection. CoRR Dongha Lee, Sehun Yu, Hwanjo Yu
2021	J	`jnl`	Obtaining Calibrated Probabilities with Personalized Ranking Models. CoRR Wonbin Kweon, SeongKu Kang, Hwanjo Yu
2021	—	`conf`	OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification. ACL/IJCNLP (1) Seonghyeon Lee, Dongha Lee, Hwanjo Yu
2021	A*	`conf`	Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. ICDM Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
2021	J	`jnl`	Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. CoRR Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
2021	J	`jnl`	Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification. CoRR Seonghyeon Lee, Dongha Lee, Hwanjo Yu
2021	A*	`conf`	Topology Distillation for Recommender System. KDD SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2021	J	`jnl`	Topology Distillation for Recommender System. CoRR SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2021	A*	`conf`	Unsupervised Proxy Selection for Session-based Recommender Systems. SIGIR Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
2021	J	`jnl`	Unsupervised Proxy Selection for Session-based Recommender Systems. CoRR Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
2021	A*	`conf`	Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. ICCV Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu
2021	J	`jnl`	Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. CoRR Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu
2020	B	`conf`	Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. COLING Dongmin Hyun, Junsu Cho, Hwanjo Yu
2020	J	`jnl`	Click-aware purchase prediction with push at the top. Inf. Sci. Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu
2020	A*	`conf`	Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. IJCAI Sehun Yu, Dongha Lee, Hwanjo Yu
2020	A	`conf`	DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2020	J	`jnl`	DE-RRD: A Knowledge Distillation Framework for Recommender System. CoRR SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2020	A*	`conf`	Deep Rating Elicitation for New Users in Collaborative Filtering. WWW Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
2020	J	`jnl`	Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. Chanyoung Park, Jiawei Han, Hwanjo Yu
2020	J	`jnl`	Fast and memory-efficient algorithms for high-order Tucker decomposition. Knowl. Inf. Syst. Jiyuan Zhang, Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu
2020	J	`jnl`	Generating sequential electronic health records using dual adversarial autoencoder. J. Am. Medical Informatics Assoc. Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong
2020	J	`jnl`	Harmonized representation learning on dynamic EHR graphs. J. Biomed. Informatics Dongha Lee, Xiaoqian Jiang, Hwanjo Yu
2020	J	`jnl`	Input initialization for inversion of neural networks using Inf. Sci. Seongbo Jang, Ye-Eun Jang, Young-Jin Kim, Hwanjo Yu
2020	A*	`conf`	Interest Sustainability-Aware Recommender System. ICDM Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu
2020	A*	`conf`	Multi-Class Data Description for Out-of-distribution Detection. KDD Dongha Lee, Sehun Yu, Hwanjo Yu
2020	—	`conf`	Multi-Modal Component Embedding for Fake News Detection. IMCOM SeongKu Kang, Junyoung Hwang, Hwanjo Yu
2020	J	`jnl`	OCam: Out-of-core coordinate descent algorithm for matrix completion. Inf. Sci. Dongha Lee, Jinoh Oh, Hwanjo Yu
2020	J	`jnl`	PUMAD: PU Metric learning for anomaly detection. Inf. Sci. Hyunjun Ju, Dongha Lee, Junyoung Hwang, Junghyun Namkung, Hwanjo Yu
2020	J	`jnl`	Scalable disk-based topic modeling for memory limited devices. Inf. Sci. Byungju Kim, Dongha Lee, Jinoh Oh, Hwanjo Yu
2020	B	`conf`	Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. ICPR Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
2020	J	`jnl`	Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. CoRR Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
2020	A*	`conf`	Unsupervised Attributed Multiplex Network Embedding. AAAI Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
2020	A*	`conf`	Unsupervised Differentiable Multi-aspect Network Embedding. KDD Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2020	J	`jnl`	Unsupervised Differentiable Multi-aspect Network Embedding. CoRR Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2019	A*	`conf`	Action Space Learning for Heterogeneous User Behavior Prediction. IJCAI Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu
2019	J	`jnl`	Adversarial approach to domain adaptation for reinforcement learning on dialog systems. Pattern Recognit. Lett. Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee
2019	J	`jnl`	An encoder-decoder switch network for purchase prediction. Knowl. Based Syst. Chanyoung Park, Donghyun Kim, Hwanjo Yu
2019	A	`conf`	BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CIKM Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2019	J	`jnl`	BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CoRR Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2019	J	`jnl`	Collaborative Translational Metric Learning. CoRR Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2019	A	`conf`	Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. CIKM SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu
2019	A*	`conf`	Sequential and Diverse Recommendation with Long Tail. IJCAI Yejin Kim, KwangSeob Kim, Chanyoung Park, Hwanjo Yu
2019	J	`jnl`	Target-aware convolutional neural network for target-level sentiment analysis. Inf. Sci. Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
2019	A	`conf`	Task-Guided Pair Embedding in Heterogeneous Network. CIKM Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
2019	J	`jnl`	Task-Guided Pair Embedding in Heterogeneous Network. CoRR Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
2019	J	`jnl`	Unsupervised Attributed Multiplex Network Embedding. CoRR Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
2018	—	`ch.`	Bootstrap. Encyclopedia of Database Systems (2nd ed.) Hwanjo Yu
2018	A*	`conf`	Collaborative Translational Metric Learning. ICDM Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2018	A*	`conf`	DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. KDD Gyoung S. Na, Donghyun Kim, Hwanjo Yu
2018	A	`conf`	Disk-based Matrix Completion for Memory Limited Devices. CIKM Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu
2018	—	`conf`	DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding. IMCOM Dongha Lee, Hyunjun Ju, Hwanjo Yu, Jung-Mi Park, Kye-Yoon Kim
2018	A*	`conf`	Fast Tucker Factorization for Large-Scale Tensor Completion. ICDM Dongha Lee, Jaehyung Lee, Hwanjo Yu
2018	J	`jnl`	Neural Sentence Embedding using Only In-domain Sentences for Out-of-domain Sentence Detection in Dialog Systems. CoRR Seonghan Ryu, Seokhwan Kim, Junhwi Choi, Hwanjo Yu, Gary Geunbae Lee
2018	A*	`conf`	Out-of-domain Detection based on Generative Adversarial Network. EMNLP Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee
2018	A*	`conf`	Review Sentiment-Guided Scalable Deep Recommender System. SIGIR Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
2018	—	`conf`	Sentiment Classification with Convolutional Neural Network using Multiple Word Representations. IMCOM Hyunjun Ju, Hwanjo Yu
2018	—	`ch.`	Support Vector Machine. Encyclopedia of Database Systems (2nd ed.) Hwanjo Yu
2017	—	`conf`	Answer ranking based on named entity types for question answering. IMCOM Sangdo Han, Soonchoul Kwon, Hwanjo Yu, Gary Geunbae Lee
2017	J	`jnl`	Deep hybrid recommender systems via exploiting document context and statistics of items. Inf. Sci. Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu
2017	A	`conf`	DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu
2017	A*	`conf`	Do "Also-Viewed" Products Help User Rating Prediction? WWW Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
2017	A*	`conf`	Federated Tensor Factorization for Computational Phenotyping. KDD Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
2017	J	`jnl`	Federated Tensor Factorization for Computational Phenotyping. CoRR Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
2017	J	`jnl`	Influence maximization based on reachability sketches in dynamic graphs. Inf. Sci. Dongeun Kim, Dongmin Hyeon, Jinoh Oh, Wook-Shin Han, Hwanjo Yu
2017	J	`jnl`	Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems. Pattern Recognit. Lett. Seonghan Ryu, Seokhwan Kim, Junhwi Choi, Hwanjo Yu, Gary Geunbae Lee
2017	J	`jnl`	RecTime: Real-Time recommender system for online broadcasting. Inf. Sci. Yoojin Park, Jinoh Oh, Hwanjo Yu
2017	A	`conf`	S-HOT: Scalable High-Order Tucker Decomposition. WSDM Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu
2017	J	`jnl`	Scalable and parallelizable influence maximization with Random Walk Ranking and Rank Merge Pruning. Inf. Sci. Seung-Keol Kim, Dongeun Kim, Jinoh Oh, Jeong-Hyon Hwang, Wook-Shin Han, Wei Chen, Hwanjo Yu
2017	—	`conf`	Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. BCB Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu
2017	—	`conf`	Two-stage approach to named entity recognition using Wikipedia and DBpedia. IMCOM Seonghan Ryu, Hwanjo Yu, Gary Geunbae Lee
2017	J	`jnl`	Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship. CoRR Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu
2016	J	`jnl`	A mutation profile for top- Bioinform. Sungchul Kim, Lee Sael, Hwanjo Yu
2016	B	`conf`	Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization. LREC Muhammad Humayoun, Hwanjo Yu
2016	J	`jnl`	Automatic Open Knowledge Acquisition via Long Short-Term Memory Networks with Feedback Negative Sampling. CoRR Byungsoo Kim, Hwanjo Yu, Gary Geunbae Lee
2016	A	`conf`	Convolutional Matrix Factorization for Document Context-Aware Recommendation. RecSys Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu
2016	J	`jnl`	Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. BMC Medical Informatics Decis. Mak. Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Hwanjo Yu
2016	J	`jnl`	GeoVideoIndex: Indexing for georeferenced videos. Inf. Sci. Dongha Lee, Jinoh Oh, Woong-Kee Loh, Hwanjo Yu
2016	—	`conf`	ISOFT-Team at NTCIR-12 QALab-2: Using Choice Verification. NTCIR Soonchoul Kwon, Seonyeong Park, Daehwan Nam, Kyusong Lee, Hwanjo Yu, Gary Geunbae Lee
2016	J	`jnl`	Improving top-K recommendation with truster and trustee relationship in user trust network. Inf. Sci. Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
2016	—	`conf`	Mathematical Model for Processing Multi-user Requests on POMDP Hybrid Dialog Management. IMCOM Sangjun Koo, Gary Geunbae Lee, Hwanjo Yu
2016	J	`jnl`	Spoiler detection in TV program tweets. Inf. Sci. Sungho Jeon, Sungchul Kim, Hwanjo Yu
2016	—	`conf`	TRecSo: Enhancing Top-k Recommendation With Social Information. WWW (Companion Volume) Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
2015	J	`jnl`	A mutation profile for top- Bioinform. Sungchul Kim, Lee Sael, Hwanjo Yu
2015	J	`jnl`	Developing a hybrid dictionary-based bio-entity recognition technique. BMC Medical Informatics Decis. Mak. Min Song, Hwanjo Yu, Wook-Shin Han
2015	—	`conf`	Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. DTMBIO@CIKM Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu
2015	A*	`conf`	Fast and Robust Parallel SGD Matrix Factorization. KDD Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang
2015	J	`jnl`	Fast density-based clustering through dataset partition using graphics processing units. Inf. Sci. Woong-Kee Loh, Hwanjo Yu
2015	J	`jnl`	LMDS-based approach for efficient top-k local ligand-binding site search. Int. J. Data Min. Bioinform. Sungchul Kim, Lee Sael, Hwanjo Yu
2015	—	`conf`	Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. RecSys Challenge Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
2014	J	`jnl`	Advertiser-centric approach to understand user click behavior in sponsored search. Inf. Sci. Sungchul Kim, Tao Qin, Tie-Yan Liu, Hwanjo Yu
2014	J	`jnl`	CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing. Knowl. Based Syst. Jinha Kim, Wonyeol Lee, Hwanjo Yu
2014	J	`jnl`	GeoTree: Using spatial information for georeferenced video search. Knowl. Based Syst. Youngwoo Kim, Jinha Kim, Hwanjo Yu
2014	—	`conf`	Identifying Cancer Subtypes based on Somatic Mutation Profile. DTMBIO@CIKM Sungchul Kim, Lee Sael, Hwanjo Yu
2014	J	`jnl`	Leveraging spatial join for robust tuple extraction from web pages. Inf. Sci. Wook-Shin Han, Wooseong Kwak, Hwanjo Yu, Jeong-Hoon Lee, Min-Soo Kim
2014	—	`conf`	OPT: a new framework for overlapped and parallel triangulation in large-scale graphs. SIGMOD Conference Jinha Kim, Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Hwanjo Yu
2014	J	`jnl`	Processing time-dependent shortest path queries without pre-computed speed information on road networks. Inf. Sci. Jinha Kim, Wook-Shin Han, Jinoh Oh, Sungchul Kim, Hwanjo Yu
2014	J	`jnl`	When to recommend: A new issue on TV show recommendation. Inf. Sci. Jinoh Oh, Sungchul Kim, Jinha Kim, Hwanjo Yu
2014	J	`jnl`	iKernel: Exact indexing for support vector machines. Inf. Sci. Youngdae Kim, Ilhwan Ko, Wook-Shin Han, Hwanjo Yu
2013	—	`conf`	BoDBES: a boosted dictionary-based biomedical entity spotter. DTMBIO Min Song, Wook-Shin Han, Hwanjo Yu
2013	A	`conf`	Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets. ICWSM Sungho Jeon, Sungchul Kim, Hwanjo Yu
2013	—	`conf`	Efficient local ligand-binding site search using landmark mds. DTMBIO Sungchul Kim, Lee Sael, Hwanjo Yu
2013	J	`jnl`	Efficient protein structure search using indexing methods. BMC Medical Informatics Decis. Mak. Sungchul Kim, Lee Sael, Hwanjo Yu
2013	J	`jnl`	Efficient semantic network construction with application to PubMed search. Knowl. Based Syst. Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu, Young Ho Lee
2013	—	`conf`	Fast protein 3D surface search. ICUIMC Sungchul Kim, Lee Sael, Hwanjo Yu
2013	A*	`conf`	Scalable and parallelizable processing of influence maximization for large-scale social networks? ICDE Jinha Kim, Seung-Keol Kim, Hwanjo Yu
2013	A*	`conf`	TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC. KDD Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Jeong-Hoon Lee, Min-Soo Kim, Jinha Kim, Hwanjo Yu
2012	J	`jnl`	An efficient method for learning nonlinear ranking SVM functions. Inf. Sci. Hwanjo Yu, Jinha Kim, Youngdae Kim, Seung-won Hwang, Young Ho Lee
2012	A*	`conf`	CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing. ICDM Wonyeol Lee, Jinha Kim, Hwanjo Yu
2012	—	`conf`	Data Management Challenges and Opportunities in Cloud Computing. DASFAA (2) Kyuseok Shim, Sang Kyun Cha, Lei Chen, Wook-Shin Han, Divesh Srivastava, Katsumi Tanaka, Hwanjo Yu, Xiaofang Zhou
2012	—	`ed.`	Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, International Workshops: FlashDB, ITEMS, SNSM, SIM3, DQDI, Busan, South Korea, April 15-19, 2012. Proceedings DASFAA Workshops Hwanjo Yu, Ge Yu, Wynne Hsu, Yang-Sae Moon, Rainer Unland, Jaesoo Yoo
2012	—	`conf`	Finding Core Topics: Topic Extraction with Clustering on Tweet. CGC Sungchul Kim, Sungho Jeon, Jinha Kim, Young-Ho Park, Hwanjo Yu
2012	A*	`conf`	GeoSearch: georeferenced video retrieval system. KDD Youngwoo Kim, Jinha Kim, Hwanjo Yu
2012	—	`conf`	Indexing methods for efficient protein 3D surface search. DTMBIO@CIKM Sungchul Kim, Lee Sael, Hwanjo Yu
2012	—	`conf`	Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. ACL (1) Sungchul Kim, Kristina Toutanova, Hwanjo Yu
2012	A*	`conf`	PubMed search and exploration with real-time semantic network construction. KDD Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu
2012	—	`ch.`	SVM Tutorial - Classification, Regression and Ranking. Handbook of Natural Computing Hwanjo Yu, Sungchul Kim
2012	—	`conf`	Time-Dependent User Profiling for TV Recommendation. CGC Jinoh Oh, Youngchul Sung, Jinha Kim, Muhammad Humayoun, Young-Ho Park, Hwanjo Yu
2012	A	`conf`	iSampling: framework for developing sampling methods considering user's interest. CIKM Jinoh Oh, Hwanjo Yu
2011	—	`conf`	A new approach for processing ranked subsequence matching based on ranked union. SIGMOD Conference Wook-Shin Han, Jinsoo Lee, Yang-Sae Moon, Seung-won Hwang, Hwanjo Yu
2011	A	`conf`	Advertiser-centric approach to understand user click behavior in sponsored search. CIKM Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu
2011	J	`jnl`	Combining active learning and semi-supervised learning techniques to extract protein interaction sentences. BMC Bioinform. Min Song, Hwanjo Yu, Wook-Shin Han
2011	—	`conf`	Exact indexing for support vector machines. SIGMOD Conference Hwanjo Yu, Ilhwan Ko, Youngdae Kim, Seung-won Hwang, Wook-Shin Han
2011	—	`conf`	Extracting biomedical concepts from fulltext by relative importance in a graph model. BIBM Workshops Min Song, Said Bleik, Hwanjo Yu, Wook-Shin Han
2011	J	`jnl`	Hessian matrix distribution for Bayesian policy gradient reinforcement learning. Inf. Sci. Ngo Anh Vien, Hwanjo Yu, TaeChoong Chung
2011	A*	`conf`	Novel Recommendation Based on Personal Popularity Tendency. ICDM Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park
2011	J	`jnl`	Processing SPARQL queries with regular expressions in RDF databases. BMC Bioinform. Jinsoo Lee, Minh-Duc Pham, Jihwan Lee, Wook-Shin Han, Hune Cho, Hwanjo Yu, Jeong-Hoon Lee
2011	A*	`conf`	Protecting location privacy using location semantics. KDD Byoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim
2011	J	`jnl`	Selective sampling techniques for feedback-based data retrieval. Data Min. Knowl. Discov. Hwanjo Yu
2010	C	`ed.`	Advances in Web Technologies and Applications, Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010, Busan, Korea, 6-8 April 2010 APWeb Wook-Shin Han, Divesh Srivastava, Ge Yu, Hwanjo Yu, Zi Helen Huang
2010	J	`jnl`	Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS. BMC Bioinform. Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han
2010	A*	`conf`	On supporting effective web extraction. ICDE Wook-Shin Han, Wooseong Kwak, Hwanjo Yu
2010	A*	`conf`	Passive Sampling for Regression. ICDM Hwanjo Yu, Sungchul Kim
2010	A	`conf`	RankSVR: can preference data help regression? CIKM Hwanjo Yu, Sungchul Kim, Seung-Hoon Na
2009	—	`ch.`	Bootstrap. Encyclopedia of Database Systems Hwanjo Yu
2009	A	`conf`	Efficient feature weighting methods for ranking. CIKM Hwanjo Yu, Jinoh Oh, Wook-Shin Han
2009	—	`conf`	Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS. DTMBIO Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han
2009	—	`conf`	Fault detection in IP-based process control networks using data mining. Integrated Network Management Byungchul Park, Young J. Won, Hwanjo Yu, James Won-Ki Hong, Hong-Sun Noh, Jang Jin Lee
2009	B	`conf`	RV-SVM: An Efficient Method for Learning Ranking SVM. PAKDD Hwanjo Yu, Youngdae Kim, Seung-won Hwang
2009	A	`conf`	RefMed: relevance feedback retrieval system fo PubMed. CIKM Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim
2009	—	`ch.`	Support Vector Machine. Encyclopedia of Database Systems Hwanjo Yu
2009	A	`conf`	VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. CIKM Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho
2008	J	`jnl`	Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. Artif. Intell. Medicine Baek Hwan Cho, Hwanjo Yu, Kwang-Won Kim, Tae Hyun Kim, In-Young Kim, Sun I. Kim
2008	J	`jnl`	Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels. IEEE Trans. Inf. Technol. Biomed. Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Joon Chee, In-Young Kim, Sun I. Kim
2008	J	`jnl`	Privacy-preserving SVM classification. Knowl. Inf. Syst. Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
2008	J	`jnl`	Supporting personalized ranking over categorical attributes. Inf. Sci. Gae-won You, Seung-won Hwang, Hwanjo Yu
2007	J	`jnl`	Enabling soft queries for data retrieval. Inf. Syst. Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang
2007	Misc	`conf`	Mining and processing category ranking. SAC Seung-won Hwang, Hwanjo Yu
2007	Misc	`conf`	Predicting the Impact of an Electronic Health Record on Practice Patterns Using Computational Modeling and Simulation. AMIA Thomas R. Clancy, Connie White-Delaney, Alberto M. Segre, Kathleen M. Carley, Andrew Kuziak, Hwanjo Yu
2006	B	`conf`	Privacy-Preserving SVM Classification on Vertically Partitioned Data. PAKDD Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang
2006	Misc	`conf`	Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data. SAC Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
2005	A*	`conf`	Enabling Ad-hoc Ranking for Data Retrieval. ICDE Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang
2005	J	`jnl`	Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. Data Min. Knowl. Discov. Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li
2005	A	`conf`	Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. SDM Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu
2005	A*	`conf`	SVM selective sampling for ranking with application to data retrieval. KDD Hwanjo Yu
2005	J	`jnl`	Single-Class Classification with Mapping Convergence. Mach. Learn. Hwanjo Yu
2004	J	`jnl`	PEBL: Web Page Classification without Negative Examples. IEEE Trans. Knowl. Data Eng. Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang
2004	A*	`conf`	Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. ICDM Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han
2003	A*	`conf`	Classifying large data sets using SVMs with hierarchical clusters. KDD Hwanjo Yu, Jiong Yang, Jiawei Han
2003	—	`conf`	Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. CSB Hwanjo Yu, Jiong Yang, Wei Wang, Jiawei Han
2003	A*	`conf`	General MC: Estimating Boundary of Positive Class from Small Positive Data. ICDM Hwanjo Yu
2003	A*	`conf`	SVMC: Single-Class Classification With Support Vector Machines. IJCAI Hwanjo Yu
2003	A	`conf`	Text classification from positive and unlabeled documents. CIKM Hwanjo Yu, ChengXiang Zhai, Jiawei Han
2002	A*	`conf`	Heterogeneous Learner for Web Page Classification. ICDM Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han
2002	A*	`conf`	PEBL: positive example based learning for Web page classification using SVM. KDD Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang