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ORCIDJung-Woo Ha 0001
JungWoo Ha 0001 – Jungwoo Ha 0001
Person information
- affiliation: NAVER Corporation, Seongnam, South Korea
- affiliation (former): Seoul National University, School of Computer Science and Engineering, South Korea
Other persons with the same name
- Jung-Woo Ha (aka: JungWoo Ha, Jungwoo Ha) — disambiguation page
- Jung-Woo Ha 0002
![[0000-0002-5780-5446]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5780-5446")
(aka: JungWoo Ha 0002, Jungwoo Ha 0002) — Sungkyunkwan University, College of Information and Communication Engineering, Suwon, South Korea
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Journal Articles
- 2023
[j10]Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe:
Entropy regularization for weakly supervised object localization. Pattern Recognit. Lett. 169: 1-7 (2023)- 2021
- [j9]Hyeon-Jin Park, Seunghun Lee, Dasol Hwang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Learning Augmentation for GNNs With Consistency Regularization. IEEE Access 9: 127961-127972 (2021) - [j8]Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon:
Graphs, Entities, and Step Mixture for Enriching Graph Representation. IEEE Access 9: 144025-144034 (2021) - [j7]Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang:
M2FN: Multi-step modality fusion for advertisement image assessment. Appl. Soft Comput. 103: 107116 (2021) - [j6]Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim:
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116: 107949 (2021) - 2020
- [j5]Seunghyun Lee, Byeongho Heo, Jung-Woo Ha, Byung Cheol Song:
Filter Pruning and Re-Initialization via Latent Space Clustering. IEEE Access 8: 189587-189597 (2020) - 2019
- [j4]Soo-Jin Kim, Jung-Woo Ha, Heebal Kim, Byoung-Tak Zhang:
Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. Appl. Soft Comput. 81 (2019) - 2017
- [j3]Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang:
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. Neural Networks 92: 17-28 (2017) - 2014
- [j2]Soo-Jin Kim, JungWoo Ha, Byoung-Tak Zhang:
Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes. J. Biomed. Informatics 49: 101-111 (2014) - 2013
- [j1]Soo-Jin Kim, JungWoo Ha, Byoung-Tak Zhang:
Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning. BMC Syst. Biol. 7: 47 (2013)
Conference and Workshop Papers
- 2024
- [c66]Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin:
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. ICLR 2024 - [c65]Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin:
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. ICLR 2024 - 2023
- [c64]Kyuyong Shin, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha, Kyung-Min Kim:
Scaling Law for Recommendation Models: Towards General-Purpose User Representations. AAAI 2023: 4596-4604 - [c63]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Gunhee Kim, Jung-Woo Ha:
KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications. ACL (industry) 2023: 208-224 - [c62]Kyuyong Shin, Hanock Kwak, Wonjae Kim, Jisu Jeong, Seungjae Jung, Kyungmin Kim, Jung-Woo Ha, Sang-Woo Lee:
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. ACL (1) 2023: 1146-1161 - [c61]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha:
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL (1) 2023: 6692-6712 - [c60]Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song:
Query-Efficient Black-Box Red Teaming via Bayesian Optimization. ACL (1) 2023: 11551-11574 - [c59]Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu:
Dense Text-to-Image Generation with Attention Modulation. ICCV 2023: 7667-7677 - [c58]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV 2023: 23195-23205 - [c57]Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha, Jaesik Choi:
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. ICLR 2023 - [c56]Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi:
Online Boundary-Free Continual Learning by Scheduled Data Prior. ICLR 2023 - [c55]Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang:
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR 2023 - [c54]Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang:
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. NeurIPS 2023 - 2022
- [c53]Yeon Seonwoo, Juhee Son, Jiho Jin, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh:
Two-Step Question Retrieval for Open-Domain QA. ACL (Findings) 2022: 1487-1492 - [c52]Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha:
Continuous Decomposition of Granularity for Neural Paraphrase Generation. COLING 2022: 6369-6378 - [c51]Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi:
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CVPR 2022: 9265-9274 - [c50]Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin:
K-centered Patch Sampling for Efficient Video Recognition. ECCV (35) 2022: 160-176 - [c49]Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi:
Generator Knows What Discriminator Should Learn in Unconditional GANs. ECCV (17) 2022: 406-422 - [c48]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) 2022: 3288-3305 - [c47]Yunji Kim, Jung-Woo Ha:
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. ICLR 2022 - [c46]Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi:
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. ICLR 2022 - [c45]Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR 2022 - [c44]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML 2022: 11102-11118 - [c43]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022: 25804-25816 - [c42]Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, Woo-Myoung Park, Jung-Woo Ha, Nako Sung:
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model. NAACL-HLT 2022: 5168-5186 - [c41]Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee:
On Divergence Measures for Bayesian Pseudocoresets. NeurIPS 2022 - 2021
- [c40]Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. AAAI 2021: 12911-12919 - [c39]Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh:
Weakly Supervised Pre-Training for Multi-Hop Retriever. ACL/IJCNLP (Findings) 2021: 694-704 - [c38]Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi:
Rainbow Memory: Continual Learning With a Memory of Diverse Samples. CVPR 2021: 8218-8227 - [c37]Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung:
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. EMNLP (1) 2021: 3405-3424 - [c36]Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha:
St-Bert: Cross-Modal Language Model Pre-Training for End-to-End Spoken Language Understanding. ICASSP 2021: 7478-7482 - [c35]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha:
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR 2021 - [c34]Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS 2021: 19010-19020 - [c33]Sungjoon Park, Jihyung Moon, Sungdong Kim, Won-Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Youngsook Song, Tae Hwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Eunjeong Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho:
KLUE: Korean Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c32]Hyunhoon Jung, Hyeji Kim, Jung-Woo Ha:
Understanding Differences between Heavy Users and Light Users in Difficulties with Voice User Interfaces. CIU 2020: 51:1-51:4 - [c31]Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha:
StarGAN v2: Diverse Image Synthesis for Multiple Domains. CVPR 2020: 8185-8194 - [c30]Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh:
Context-Aware Answer Extraction in Question Answering. EMNLP (1) 2020: 2418-2428 - [c29]Jung-Woo Ha, Kihyun Nam, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Hyeji Kim, Eunmi Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim:
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. INTERSPEECH 2020: 409-413 - [c28]Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. NeurIPS 2020 - 2019
- [c27]Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim:
Paraphrase Diversification Using Counterfactual Debiasing. AAAI 2019: 6883-6891 - [c26]Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim:
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP/IJCNLP (1) 2019: 2603-2613 - [c25]Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha:
Photorealistic Style Transfer via Wavelet Transforms. ICCV 2019: 9035-9044 - [c24]Hyeong-Seok Choi, Jang-Hyun Kim, Jaesung Huh, Adrian Kim, Jung-Woo Ha, Kyogu Lee:
Phase-Aware Speech Enhancement with Deep Complex U-Net. ICLR (Poster) 2019 - [c23]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR (Poster) 2019 - [c22]Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha:
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. ICLR (Poster) 2019 - [c21]Kyung-Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha:
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. RecSys (Late-Breaking Results) 2019: 56-60 - [c20]Gayoung Lee, Dohyun Kim, Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang:
Unpaired Sketch-to-Line Translation via Synthesis of Sketches. SIGGRAPH Asia Technical Briefs 2019: 45-48 - 2018
- [c19]Seunghyun Park, You Jin Kim, Jeong-Whun Kim, Jin Joo Park, Borim Ryu, Jung-Woo Ha:
Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. BIBE 2018: 110-117 - [c18]Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo:
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CVPR 2018: 8789-8797 - 2017
- [c17]Jung-Woo Ha, Adrian Kim, Dongwon Kim, Jeonghee Kim, Jeong-Whun Kim, Jin Joo Park, Borim Ryu:
Predicting high-risk prognosis from diagnostic histories of adult disease patients via deep recurrent neural networks. BigComp 2017: 394-399 - [c16]Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim:
Dual Attention Networks for Multimodal Reasoning and Matching. CVPR 2017: 2156-2164 - [c15]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. ICLR (Poster) 2017 - [c14]Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS 2017: 4652-4662 - 2016
- [c13]JungWoo Ha, Hyuna Pyo, Jeonghee Kim:
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks. KDD 2016: 107-115 - [c12]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. NIPS 2016: 361-369 - 2015
- [c11]JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. AAAI 2015: 522-528 - [c10]Kyung-Min Kim, Chang-Jun Nan, Jung-Woo Ha, Yu-Jung Heo, Byoung-Tak Zhang:
Pororobot: A Deep Learning Robot That Plays Video Q&A Games. AAAI Fall Symposia 2015: 89-93 - [c9]Jung-Woo Ha, Dongyeop Kang, Hyuna Pyo, Jeonghee Kim:
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning. INRA@RecSys 2015: 27-32 - 2013
- [c8]Beom-Jin Lee, JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Evolutionary concept learning from cartoon videos by multimodal hypernetworks. IEEE Congress on Evolutionary Computation 2013: 1186-1192 - 2012
- [c7]Byoung-Tak Zhang, JungWoo Ha, Myunggu Kang:
Sparse Population Code Models of Word Learning in Concept Drift. CogSci 2012 - [c6]JungWoo Ha, Beom-Jin Lee, Byoung-Tak Zhang:
Text-to-image retrieval based on incremental association via multimodal hypernetworks. SMC 2012: 3245-3250 - 2011
- [c5]Eun-Sol Kim, JungWoo Ha, Wi Hoon Jung, Joon Hwan Jang, Jun Soo Kwon, Byoung-Tak Zhang:
Mutual information-based evolution of hypernetworks for brain data analysis. IEEE Congress on Evolutionary Computation 2011: 2611-2617 - 2010
- [c4]Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhang:
Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Zhang:
Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. PRICAI 2010: 76-87 - 2009
- [c2]JungWoo Ha, Joon Hwan Jang, Do-Hyung Kang, Wi Hoon Jung, Jun Soo Kwon, Byoung-Tak Zhang:
Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks. FUZZ-IEEE 2009: 41-46 - 2007
- [c1]JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang:
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. GECCO (Companion) 2007: 2709-2716
Informal and Other Publications
- 2024
- [i58]Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin:
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. CoRR abs/2404.10308 (2024) - [i57]Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin:
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. CoRR abs/2404.13081 (2024) - 2023
- [i56]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. CoRR abs/2304.01515 (2023) - [i55]Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song:
Query-Efficient Black-Box Red Teaming via Bayesian Optimization. CoRR abs/2305.17444 (2023) - [i54]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha:
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration. CoRR abs/2305.17696 (2023) - [i53]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Gunhee Kim, Jung-Woo Ha:
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application. CoRR abs/2305.17701 (2023) - [i52]Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu:
Dense Text-to-Image Generation with Attention Modulation. CoRR abs/2308.12964 (2023) - [i51]Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang:
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. CoRR abs/2310.18640 (2023) - 2022
- [i50]Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. CoRR abs/2202.10571 (2022) - [i49]Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Metropolis-Hastings Data Augmentation for Graph Neural Networks. CoRR abs/2203.14082 (2022) - [i48]Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi:
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CoRR abs/2203.15355 (2022) - [i47]Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, Woo-Myoung Park, Jung-Woo Ha, Nako Sung:
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model. CoRR abs/2204.13509 (2022) - [i46]Yeon Seonwoo, Juhee Son, Jiho Jin, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh:
Two-Step Question Retrieval for Open-Domain QA. CoRR abs/2205.09393 (2022) - [i45]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR abs/2205.14959 (2022) - [i44]Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha, Jaesik Choi:
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. CoRR abs/2206.08549 (2022) - [i43]Jinyoung Park, Seongjun Yun, Hyeon-Jin Park, Jaewoo Kang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Deformable Graph Transformer. CoRR abs/2206.14337 (2022) - [i42]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. CoRR abs/2207.09067 (2022) - [i41]Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi:
Generator Knows What Discriminator Should Learn in Unconditional GANs. CoRR abs/2207.13320 (2022) - [i40]Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha:
Continuous Decomposition of Granularity for Neural Paraphrase Generation. CoRR abs/2209.01765 (2022) - [i39]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR abs/2210.03858 (2022) - [i38]Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee:
On Divergence Measures for Bayesian Pseudocoresets. CoRR abs/2210.06205 (2022) - [i37]Kyuyong Shin, Hanock Kwak, Wonjae Kim, Jisu Jeong, Seungjae Jung, Kyung-Min Kim, Jung-Woo Ha, Sang-Woo Lee:
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. CoRR abs/2212.03760 (2022) - 2021
- [i36]Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang:
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment. CoRR abs/2102.00441 (2021) - [i35]Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. CoRR abs/2103.00771 (2021) - [i34]Jihwan Bang, Heesu Kim, Young Joon Yoo, Jung-Woo Ha, Jonghyun Choi:
Rainbow Memory: Continual Learning with a Memory of Diverse Samples. CoRR abs/2103.17230 (2021) - [i33]Raphael Shu, Kang Min Yoo, Jung-Woo Ha:
Reward Optimization for Neural Machine Translation with Learned Metrics. CoRR abs/2104.07541 (2021) - [i32]Sungjoon Park, Jihyung Moon, Sungdong Kim, Won-Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Tae Hwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Eunjeong Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho:
KLUE: Korean Language Understanding Evaluation. CoRR abs/2105.09680 (2021) - [i31]Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh:
Weakly Supervised Pre-Training for Multi-Hop Retriever. CoRR abs/2106.09983 (2021) - [i30]Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung:
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. CoRR abs/2109.04650 (2021) - [i29]Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi:
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. CoRR abs/2110.10031 (2021) - [i28]Yunji Kim, Jung-Woo Ha:
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks. CoRR abs/2112.14971 (2021) - 2020
- [i27]Jung-Woo Ha, Kihyun Nam, Jin-Gu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Sunghun Kim:
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. CoRR abs/2004.09367 (2020) - [i26]Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon:
Graphs, Entities, and Step Mixture. CoRR abs/2005.08485 (2020) - [i25]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha:
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR abs/2006.08217 (2020) - [i24]Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha:
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. CoRR abs/2006.11021 (2020) - [i23]Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko, Sunyoung Kim, Hyewon Kim, Kyoungtae Doh, Hyunjung Park, Joseph Yeo, Sang-Houn Ok, Joonhaeng Lee, Seongjae Choi, SeungTae Hwang, Eun-Young Park, Gwang-Ja Ma, Seok-Joo Han, Kwang-Seung Cha, Nako Sung, Jung-Woo Ha:
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic. CoRR abs/2007.02642 (2020) - [i22]Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. CoRR abs/2007.08294 (2020) - [i21]Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean Song, Sunyoung Kwon:
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty. CoRR abs/2008.06218 (2020) - [i20]Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha:
ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding. CoRR abs/2010.12283 (2020) - [i19]Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh:
Context-Aware Answer Extraction in Question Answering. CoRR abs/2011.02687 (2020) - [i18]Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. CoRR abs/2012.01775 (2020) - 2019
- [i17]Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha:
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. CoRR abs/1902.08355 (2019) - [i16]Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha:
Photorealistic Style Transfer via Wavelet Transforms. CoRR abs/1903.09760 (2019) - [i15]Kyung-Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha:
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. CoRR abs/1908.02569 (2019) - [i14]Kyung-Wha Park, Junghoon Lee, Sunyoung Kwon, Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. CoRR abs/1910.02358 (2019) - [i13]Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo:
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR abs/1910.06705 (2019) - [i12]Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha:
StarGAN v2: Diverse Image Synthesis for Multiple Domains. CoRR abs/1912.01865 (2019) - 2018
- [i11]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. CoRR abs/1805.12352 (2018) - [i10]Jingwoong Kim, Minkyu Kim, Heungseok Park, Ernar Kusdavletov, Dongjun Lee, Adrian Kim, Ji-Hoon Kim, Jung-Woo Ha, Nako Sung:
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms. CoRR abs/1810.03527 (2018) - [i9]Hanjoo Kim, Minkyu Kim, Dongjoo Seo, Jinwoong Kim, Heungseok Park, Soeun Park, Hyunwoo Jo, KyungHyun Kim, Youngil Yang, Youngkwan Kim, Nako Sung, Jung-Woo Ha:
NSML: Meet the MLaaS platform with a real-world case study. CoRR abs/1810.09957 (2018) - [i8]Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha:
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. CoRR abs/1812.08914 (2018) - 2017
- [i7]Sang-Woo Lee, Jin-Hwa Kim, JungWoo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. CoRR abs/1703.08475 (2017) - [i6]Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo:
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CoRR abs/1711.09020 (2017) - [i5]You Jin Kim, Yun-Geun Lee, Jeong-Whun Kim, Jin Joo Park, Borim Ryu, Jung-Woo Ha:
Highrisk Prediction from Electronic Medical Records via Deep Attention Networks. CoRR abs/1712.00010 (2017) - [i4]Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim:
NSML: A Machine Learning Platform That Enables You to Focus on Your Models. CoRR abs/1712.05902 (2017) - 2016
- [i3]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. CoRR abs/1606.01455 (2016) - [i2]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. CoRR abs/1610.04325 (2016) - [i1]Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim:
Dual Attention Networks for Multimodal Reasoning and Matching. CoRR abs/1611.00471 (2016)
Coauthor Index
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