Hwanjo Yu

Orcid: 0000-0002-7510-0255

According to our database1, Hwanjo Yu authored at least 177 papers between 2002 and 2024.

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Bibliography

2024
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks.
CoRR, 2024

Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random.
Proceedings of the ACM on Web Conference 2024, 2024

Top-Personalized-K Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy.
Proceedings of the ACM on Web Conference 2024, 2024

Multi-Domain Sequential Recommendation via Domain Space Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Exploring Language Model's Code Generation Ability with Auxiliary Functions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Rectifying Demonstration Shortcut in In-Context Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Continual Collaborative Distillation for Recommender System.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Taxonomy-guided Semantic Indexing for Academic Paper Search.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Topology-Specific Experts for Molecular Property Prediction.
CoRR, 2023

Distillation from Heterogeneous Models for Top-K Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Learning Topology-Specific Experts for Molecular Property Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Personalized Knowledge Distillation for Recommender System.
Knowl. Based Syst., 2022

Mitigating viewpoint sensitivity of self-supervised one-class classifiers.
Inf. Sci., 2022

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Light Bug Triage Framework for Applying Large Pre-trained Language Model.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Obtaining Calibrated Probabilities with Personalized Ranking Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Item-side ranking regularized distillation for recommender system.
Inf. Sci., 2021

Learning to utilize auxiliary reviews for recommendation.
Inf. Sci., 2021

Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification.
CoRR, 2021

Bidirectional Distillation for Top-K Recommender System.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Bootstrapping User and Item Representations for One-Class Collaborative Filtering.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unsupervised Proxy Selection for Session-based Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Topology Distillation for Recommender System.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learnable Structural Semantic Readout for Graph Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision.
Proceedings of the IEEE International Conference on Data Mining, 2021

Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learnable Dynamic Temporal Pooling for Time Series Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep multiplex graph infomax: Attentive multiplex network embedding using global information.
Knowl. Based Syst., 2020

Fast and memory-efficient algorithms for high-order Tucker decomposition.
Knowl. Inf. Syst., 2020

Harmonized representation learning on dynamic EHR graphs.
J. Biomed. Informatics, 2020

Generating sequential electronic health records using dual adversarial autoencoder.
J. Am. Medical Informatics Assoc., 2020

Click-aware purchase prediction with push at the top.
Inf. Sci., 2020

OCam: Out-of-core coordinate descent algorithm for matrix completion.
Inf. Sci., 2020

Scalable disk-based topic modeling for memory limited devices.
Inf. Sci., 2020

PUMAD: PU Metric learning for anomaly detection.
Inf. Sci., 2020

Input initialization for inversion of neural networks using <i>k</i>-nearest neighbor approach.
Inf. Sci., 2020

Deep Rating Elicitation for New Users in Collaborative Filtering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Unsupervised Differentiable Multi-aspect Network Embedding.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-Class Data Description for Out-of-distribution Detection.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Modal Component Embedding for Fake News Detection.
Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Interest Sustainability-Aware Recommender System.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

DE-RRD: A Knowledge Distillation Framework for Recommender System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Unsupervised Attributed Multiplex Network Embedding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adversarial approach to domain adaptation for reinforcement learning on dialog systems.
Pattern Recognit. Lett., 2019

An encoder-decoder switch network for purchase prediction.
Knowl. Based Syst., 2019

Target-aware convolutional neural network for target-level sentiment analysis.
Inf. Sci., 2019

Action Space Learning for Heterogeneous User Behavior Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sequential and Diverse Recommendation with Long Tail.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Task-Guided Pair Embedding in Heterogeneous Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Support Vector Machine.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Bootstrap.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Review Sentiment-Guided Scalable Deep Recommender System.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding.
Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018

Sentiment Classification with Convolutional Neural Network using Multiple Word Representations.
Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018

Collaborative Translational Metric Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Fast Tucker Factorization for Large-Scale Tensor Completion.
Proceedings of the IEEE International Conference on Data Mining, 2018

Out-of-domain Detection based on Generative Adversarial Network.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Disk-based Matrix Completion for Memory Limited Devices.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems.
Pattern Recognit. Lett., 2017

RecTime: Real-Time recommender system for online broadcasting.
Inf. Sci., 2017

Deep hybrid recommender systems via exploiting document context and statistics of items.
Inf. Sci., 2017

Scalable and parallelizable influence maximization with Random Walk Ranking and Rank Merge Pruning.
Inf. Sci., 2017

Influence maximization based on reachability sketches in dynamic graphs.
Inf. Sci., 2017

Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship.
CoRR, 2017

Do "Also-Viewed" Products Help User Rating Prediction?
Proceedings of the 26th International Conference on World Wide Web, 2017

S-HOT: Scalable High-Order Tucker Decomposition.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Federated Tensor Factorization for Computational Phenotyping.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Two-stage approach to named entity recognition using Wikipedia and DBpedia.
Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

Answer ranking based on named entity types for question answering.
Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

DiagTree: Diagnostic Tree for Differential Diagnosis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy.
BMC Medical Informatics Decis. Mak., 2016

Improving top-K recommendation with truster and trustee relationship in user trust network.
Inf. Sci., 2016

GeoVideoIndex: Indexing for georeferenced videos.
Inf. Sci., 2016

Spoiler detection in TV program tweets.
Inf. Sci., 2016

Automatic Open Knowledge Acquisition via Long Short-Term Memory Networks with Feedback Negative Sampling.
CoRR, 2016

A mutation profile for top-<i>k</i> patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.
Bioinform., 2016

TRecSo: Enhancing Top-k Recommendation With Social Information.
Proceedings of the 25th International Conference on World Wide Web, 2016

Convolutional Matrix Factorization for Document Context-Aware Recommendation.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

ISOFT-Team at NTCIR-12 QALab-2: Using Choice Verification.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Mathematical Model for Processing Multi-user Requests on POMDP Hybrid Dialog Management.
Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016

2015
Developing a hybrid dictionary-based bio-entity recognition technique.
BMC Medical Informatics Decis. Mak., 2015

Fast density-based clustering through dataset partition using graphics processing units.
Inf. Sci., 2015

LMDS-based approach for efficient top-k local ligand-binding site search.
Int. J. Data Min. Bioinform., 2015

Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Fast and Robust Parallel SGD Matrix Factorization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy.
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015

2014
CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing.
Knowl. Based Syst., 2014

GeoTree: Using spatial information for georeferenced video search.
Knowl. Based Syst., 2014

When to recommend: A new issue on TV show recommendation.
Inf. Sci., 2014

Advertiser-centric approach to understand user click behavior in sponsored search.
Inf. Sci., 2014

iKernel: Exact indexing for support vector machines.
Inf. Sci., 2014

Processing time-dependent shortest path queries without pre-computed speed information on road networks.
Inf. Sci., 2014

Leveraging spatial join for robust tuple extraction from web pages.
Inf. Sci., 2014

OPT: a new framework for overlapped and parallel triangulation in large-scale graphs.
Proceedings of the International Conference on Management of Data, 2014

Identifying Cancer Subtypes based on Somatic Mutation Profile.
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, 2014

2013
Efficient protein structure search using indexing methods.
BMC Medical Informatics Decis. Mak., 2013

Efficient semantic network construction with application to PubMed search.
Knowl. Based Syst., 2013

TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Fast protein 3D surface search.
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, 2013

Scalable and parallelizable processing of influence maximization for large-scale social networks?
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

BoDBES: a boosted dictionary-based biomedical entity spotter.
Proceedings of the Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, 2013

Efficient local ligand-binding site search using landmark mds.
Proceedings of the Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, 2013

2012
SVM Tutorial - Classification, Regression and Ranking.
Proceedings of the Handbook of Natural Computing, 2012

An efficient method for learning nonlinear ranking SVM functions.
Inf. Sci., 2012

PubMed search and exploration with real-time semantic network construction.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

GeoSearch: georeferenced video retrieval system.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Data Management Challenges and Opportunities in Cloud Computing.
Proceedings of the Database Systems for Advanced Applications, 2012

iSampling: framework for developing sampling methods considering user's interest.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Indexing methods for efficient protein 3D surface search.
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, 2012

Time-Dependent User Profiling for TV Recommendation.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Finding Core Topics: Topic Extraction with Clustering on Tweet.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Hessian matrix distribution for Bayesian policy gradient reinforcement learning.
Inf. Sci., 2011

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

Combining active learning and semi-supervised learning techniques to extract protein interaction sentences.
BMC Bioinform., 2011

Processing SPARQL queries with regular expressions in RDF databases.
BMC Bioinform., 2011

Exact indexing for support vector machines.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

A new approach for processing ranked subsequence matching based on ranked union.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Protecting location privacy using location semantics.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Novel Recommendation Based on Personal Popularity Tendency.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Extracting biomedical concepts from fulltext by relative importance in a graph model.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS.
BMC Bioinform., 2010

Passive Sampling for Regression.
Proceedings of the ICDM 2010, 2010

On supporting effective web extraction.
Proceedings of the 26th International Conference on Data Engineering, 2010

RankSVR: can preference data help regression?
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Support Vector Machine.
Proceedings of the Encyclopedia of Database Systems, 2009

Bootstrap.
Proceedings of the Encyclopedia of Database Systems, 2009

RV-SVM: An Efficient Method for Learning Ranking SVM.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Fault detection in IP-based process control networks using data mining.
Proceedings of the Integrated Network Management, 2009

Efficient feature weighting methods for ranking.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

RefMed: relevance feedback retrieval system fo PubMed.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels.
IEEE Trans. Inf. Technol. Biomed., 2008

Privacy-preserving SVM classification.
Knowl. Inf. Syst., 2008

Supporting personalized ranking over categorical attributes.
Inf. Sci., 2008

Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods.
Artif. Intell. Medicine, 2008

2007
Enabling soft queries for data retrieval.
Inf. Syst., 2007

Mining and processing category ranking.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Predicting the Impact of an Electronic Health Record on Practice Patterns Using Computational Modeling and Simulation.
Proceedings of the AMIA 2007, 2007

2006
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Privacy-Preserving SVM Classification on Vertically Partitioned Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2005
Single-Class Classification with Mapping Convergence.
Mach. Learn., 2005

Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing.
Data Min. Knowl. Discov., 2005

Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

SVM selective sampling for ranking with application to data retrieval.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Enabling Ad-hoc Ranking for Data Retrieval.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
PEBL: Web Page Classification without Negative Examples.
IEEE Trans. Knowl. Data Eng., 2004

Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
Classifying large data sets using SVMs with hierarchical clusters.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

SVMC: Single-Class Classification With Support Vector Machines.
Proceedings of the IJCAI-03, 2003

General MC: Estimating Boundary of Positive Class from Small Positive Data.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

Text classification from positive and unlabeled documents.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
PEBL: positive example based learning for Web page classification using SVM.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Heterogeneous Learner for Web Page Classification.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002


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