Jung-Woo Ha
Orcid: 0000-0002-7400-7681Affiliations:
- 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 91 papers
between 2007 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Pattern Recognit. Lett., May, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
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
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
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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
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
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
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
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
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
Pattern Recognit., 2021
CoRR, 2021
Appl. Soft Comput., 2021
IEEE Access, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
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
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
CoRR, 2020
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 Interspeech 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
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
Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
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
CoRR, 2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
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
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
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
J. Biomed. Informatics, 2014
2013
Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning.
BMC Syst. Biol., 2013
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
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
2011
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2007