Jung-Woo Ha

Orcid: 0000-0002-7400-7681

Affiliations:
  • NAVER Corporation, Seongnam, South Korea
  • Seoul National University, School of Computer Science and Engineering, South Korea (former)


According to our database1, Jung-Woo Ha authored at least 97 papers between 2007 and 2024.

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Bibliography

2024
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Entropy regularization for weakly supervised object localization.
Pattern Recognit. Lett., May, 2023

KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application.
CoRR, 2023

Switching Temporary Teachers for Semi-Supervised Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised Set Representation Learning for Unsupervised Meta-Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Online Boundary-Free Continual Learning by Scheduled Data Prior.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dense Text-to-Image Generation with Attention Modulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Query-Efficient Black-Box Red Teaming via Bayesian Optimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Scaling Law for Recommendation Models: Towards General-Purpose User Representations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning.
CoRR, 2022

Deformable Graph Transformer.
CoRR, 2022

On Divergence Measures for Bayesian Pseudocoresets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Time Is MattEr: Temporal Self-supervision for Video Transformers.
Proceedings of the International Conference on Machine Learning, 2022

Dataset Condensation via Efficient Synthetic-Data Parameterization.
Proceedings of the International Conference on Machine Learning, 2022

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Contrastive Fine-grained Class Clustering via Generative Adversarial Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

K-centered Patch Sampling for Efficient Video Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generator Knows What Discriminator Should Learn in Unconditional GANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continuous Decomposition of Granularity for Neural Paraphrase Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Two-Step Question Retrieval for Open-Domain QA.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Region-based dropout with attention prior for weakly supervised object localization.
Pattern Recognit., 2021

KLUE: Korean Language Understanding Evaluation.
CoRR, 2021

Reward Optimization for Neural Machine Translation with Learned Metrics.
CoRR, 2021

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning.
CoRR, 2021

M2FN: Multi-step modality fusion for advertisement image assessment.
Appl. Soft Comput., 2021

Graphs, Entities, and Step Mixture for Enriching Graph Representation.
IEEE Access, 2021

Learning Augmentation for GNNs With Consistency Regularization.
IEEE Access, 2021


Metropolis-Hastings Data Augmentation for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.
Proceedings of the 9th International Conference on Learning Representations, 2021

St-Bert: Cross-Modal Language Model Pre-Training for End-to-End Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rainbow Memory: Continual Learning With a Memory of Diverse Samples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Weakly Supervised Pre-Training for Multi-Hop Retriever.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty.
CoRR, 2020

CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic.
CoRR, 2020

Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization.
CoRR, 2020

Slowing Down the Weight Norm Increase in Momentum-based Optimizers.
CoRR, 2020

Graphs, Entities, and Step Mixture.
CoRR, 2020

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
CoRR, 2020

Filter Pruning and Re-Initialization via Latent Space Clustering.
IEEE Access, 2020

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Context-Aware Answer Extraction in Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

StarGAN v2: Diverse Image Synthesis for Multiple Domains.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces.
Proceedings of the 2nd Conference on Conversational User Interfaces, 2020

2019
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling.
CoRR, 2019

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion.
CoRR, 2019

Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data.
Appl. Soft Comput., 2019

Unpaired Sketch-to-Line Translation via Synthesis of Sketches.
Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019

Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation.
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation.
Proceedings of the 7th International Conference on Learning Representations, 2019

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder.
Proceedings of the 7th International Conference on Learning Representations, 2019

Phase-Aware Speech Enhancement with Deep Complex U-Net.
Proceedings of the 7th International Conference on Learning Representations, 2019

Photorealistic Style Transfer via Wavelet Transforms.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Paraphrase Diversification Using Counterfactual Debiasing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement.
CoRR, 2018

NSML: Meet the MLaaS platform with a real-world case study.
CoRR, 2018

CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms.
CoRR, 2018

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2017
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors.
Neural Networks, 2017

NSML: A Machine Learning Platform That Enables You to Focus on Your Models.
CoRR, 2017

Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks.
CoRR, 2017

Highrisk Prediction from Electronic Medical Records via Deep Attention Networks.
CoRR, 2017

Overcoming Catastrophic Forgetting by Incremental Moment Matching.
CoRR, 2017

Overcoming Catastrophic Forgetting by Incremental Moment Matching.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hadamard Product for Low-rank Bilinear Pooling.
Proceedings of the 5th International Conference on Learning Representations, 2017

Dual Attention Networks for Multimodal Reasoning and Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Predicting high-risk prognosis from diagnostic histories of adult disease patients via deep recurrent neural networks.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2016
Multimodal Residual Learning for Visual QA.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning.
Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

Pororobot: A Deep Learning Robot That Plays Video Q&A Games.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes.
J. Biomed. Informatics, 2014

2013
Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning.
BMC Syst. Biol., 2013

Evolutionary concept learning from cartoon videos by multimodal hypernetworks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Text-to-image retrieval based on incremental association via multimodal hypernetworks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Sparse Population Code Models of Word Learning in Concept Drift.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Mutual information-based evolution of hypernetworks for brain data analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks.
Proceedings of the FUZZ-IEEE 2009, 2009

2007
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007


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