Hwanjun Song

107 papers A* 31A 7B 1Journal 52Unranked 16
YearRankTypeTitle / Venue / Authors
2026 A conf
Aligning Extraction and Generation for Robust Retrieval-Augmented Generation.
WSDM
Hwanjun Song, Jeonghwan Choi, Minseok Kim
2026 J jnl
Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks.
CoRR
Minjeong Ban, Jeonghwan Choi, Hyangsuk Min, Nicole Hee-Yeon Kim, Minseok Kim, Jae-Gil Lee, Hwanjun Song
2026 J jnl
Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence.
CoRR
Seunghwan Bang, Hwanjun Song
2025 — conf
Bi-Modal Learning for Networked Time Series.
KDD (2)
Youngeun Nam, Jihye Na, Susik Yoon, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
2025 J jnl
Ext2Gen: Alignment through Unified Extraction and Generation for Robust Retrieval-Augmented Generation.
CoRR
Hwanjun Song, Jeonghwan Choi, Minseok Kim
2025 — conf
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation.
NAACL (Long Papers)
Mahnaz Koupaee, Jake W. Vincent, Saab Mansour, Igor Shalyminov, Han He, Hwanjun Song, Raphael Shu, Jianfeng He, Yi Nian, Amy Wing-mei Wong, Kyu J. Han, Hang Su
2025 J jnl
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation.
CoRR
Mahnaz Koupaee, Jake W. Vincent, Saab Mansour, Igor Shalyminov, Han He, Hwanjun Song, Raphael Shu, Jianfeng He, Yi Nian, Amy Wing-mei Wong, Kyu J. Han, Hang Su
2025 J jnl
Fine-grained multi-prompt essay scoring with multi-level disentanglement.
Data Min. Knowl. Discov.
Donghee Han, Daeyoung Roh, Euihwan Han, Hwanjun Song, Mun Yong Yi
2025 J jnl
LLM-based User Profile Management for Recommender System.
CoRR
Seunghwan Bang, Hwanjun Song
2025 — conf
Learning to Summarize from LLM-generated Feedback.
NAACL (Long Papers)
Hwanjun Song, Taewon Yun, Yuho Lee, Jihwan Oh, Gihun Lee, Jason Cai, Hang Su
2025 B conf
Learning to Verify Summary Facts with Fine-Grained LLM Feedback.
COLING
Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song
2025 A conf
Mobility Networked Time-Series Forecasting Benchmark Datasets.
ICWSM
Jihye Na, Youngeun Nam, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee
2025 A* conf
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models.
ICLR
Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2025 J jnl
ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback.
CoRR
Taewon Yun, Jihwan Oh, Hyangsuk Min, Yuho Lee, Jihwan Bang, Jason Cai, Hwanjun Song
2025 J jnl
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation.
CoRR
Doyoung Kim, Youngjun Lee, Joeun Kim, Jihwan Bang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
2025 — conf
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration.
EMNLP (Findings)
Donghee Han, Hwanjun Song, Mun Yong Yi
2025 J jnl
Rethinking LLM-Based Recommendations: A Query Generation-Based, Training-Free Approach.
CoRR
Donghee Han, Hwanjun Song, Mun Yong Yi
2025 — conf
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages.
ACL (1)
Hyangsuk Min, Yuho Lee, Minjeong Ban, Jiaqi Deng, Nicole Hee-Yeon Kim, Taewon Yun, Hang Su, Jason Cai, Hwanjun Song
2025 J jnl
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages.
CoRR
Hyangsuk Min, Yuho Lee, Minjeong Ban, Jiaqi Deng, Nicole Hee-Yeon Kim, Taewon Yun, Hang Su, Jason Cai, Hwanjun Song
2025 A* conf
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts.
EMNLP
Yuho Lee, Jiaqi Deng, Nicole Hee-Yeon Kim, Hyangsuk Min, Taewon Yun, Minjeong Ban, Kim Yul, Hwanjun Song
2025 J jnl
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts.
CoRR
Jiaqi Deng, Yuho Lee, Nicole Hee-Yeon Kim, Hyangsuk Min, Taewon Yun, Minjeong Ban, Kim Yul, Hwanjun Song
2025 — conf
Word2Passage: Word-level Importance Re-weighting for Query Expansion.
ACL (Findings)
Jeonghwan Choi, Minjeong Ban, Minseok Kim, Hwanjun Song
2024 A* conf
Adaptive Shortcut Debiasing for Online Continual Learning.
AAAI
Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2024 A* conf
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection.
WWW
Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
2024 — conf
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders.
ACL (1)
Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour
2024 J jnl
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders.
CoRR
Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour
2024 — conf
Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights.
ECCV (50)
Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai
2024 J jnl
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights.
CoRR
Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai
2024 A* conf
Exploiting Representation Curvature for Boundary Detection in Time Series.
NeurIPS
Yooju Shin, Jaehyun Park, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee
2024 — conf
FineSurE: Fine-grained Summarization Evaluation using LLMs.
ACL (1)
Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour
2024 J jnl
FineSurE: Fine-grained Summarization Evaluation using LLMs.
CoRR
Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour
2024 J jnl
In-Context Learning with Noisy Labels.
CoRR
Junyong Kang, Donghyun Son, Hwanjun Song, Buru Chang
2024 J jnl
Learning to Summarize from LLM-generated Feedback.
CoRR
Hwanjun Song, Taewon Yun, Yuho Lee, Gihun Lee, Jason Cai, Hang Su
2024 J jnl
Learning to Verify Summary Facts with Fine-Grained LLM Feedback.
CoRR
Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song
2024 — conf
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets.
NAACL-HLT
Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour
2024 J jnl
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets.
CoRR
Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour
2024 A* conf
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning.
ICML
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
2024 J jnl
Prompt-guided DETR with RoI-pruned masked attention for open-vocabulary object detection.
Pattern Recognit.
Hwanjun Song, Jihwan Bang
2024 J jnl
Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers With Bridge Block Reconstruction for IoT Systems.
IEEE Internet Things J.
Jemin Lee, Yongin Kwon, Sihyeong Park, Misun Yu, Jeman Park, Hwanjun Song
2024 — conf
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.
NAACL-HLT
Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour
2024 J jnl
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.
CoRR
Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour
2024 — conf
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization.
NAACL-HLT
Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown
2024 J jnl
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization.
CoRR
Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown
2024 A* conf
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise.
AAAI
Hwanjun Song, Minseok Kim, Jae-Gil Lee
2024 J jnl
UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs.
CoRR
Yuho Lee, Taewon Yun, Jason Cai, Hang Su, Hwanjun Song
2024 — conf
UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs.
EMNLP (Findings)
Yuho Lee, Taewon Yun, Jason Cai, Hang Su, Hwanjun Song
2023 J jnl
Adaptive Shortcut Debiasing for Online Continual Learning.
CoRR
Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2023 A* conf
Context Consistency Regularization for Label Sparsity in Time Series.
ICML
Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
2023 J jnl
Data collection and quality challenges in deep learning: a data-centric AI perspective.
VLDB J.
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
2023 — conf
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation.
EMNLP (Findings)
Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour
2023 J jnl
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation.
CoRR
Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour
2023 A* conf
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding.
EMNLP
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
2023 J jnl
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding.
CoRR
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
2023 A* conf
Generating Instance-level Prompts for Rehearsal-free Continual Learning.
ICCV
Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song
2023 J jnl
Learning From Noisy Labels With Deep Neural Networks: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
2023 J jnl
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning.
CoRR
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
2023 A* conf
Online Boundary-Free Continual Learning by Scheduled Data Prior.
ICLR
Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi
2023 J jnl
Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection.
CoRR
Hwanjun Song, Jihwan Bang
2023 J jnl
Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction.
CoRR
Jemin Lee, Yongin Kwon, Jeman Park, Misun Yu, Hwanjun Song
2023 A* conf
Re-Thinking Federated Active Learning Based on Inter-Class Diversity.
CVPR
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
2023 J jnl
Re-thinking Federated Active Learning based on Inter-class Diversity.
CoRR
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
2023 A* conf
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy.
NeurIPS
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
2023 J jnl
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy.
CoRR
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
2023 J jnl
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise.
CoRR
Hwanjun Song, Minseok Kim, Jae-Gil Lee
2022 J jnl
An Extendable, Efficient and Effective Transformer-based Object Detector.
CoRR
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
2022 A* conf
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies.
AAAI
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee
2022 A* conf
Coherence-based Label Propagation over Time Series for Accelerated Active Learning.
ICLR
Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
2022 A* conf
Dataset Condensation via Efficient Synthetic-Data Parameterization.
ICML
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022 J jnl
Dataset Condensation via Efficient Synthetic-Data Parameterization.
CoRR
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022 A conf
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning.
CIKM
Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
2022 J jnl
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning.
CoRR
Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
2022 A* conf
Meta-Learning for Online Update of Recommender Systems.
AAAI
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
2022 J jnl
Meta-Learning for Online Update of Recommender Systems.
CoRR
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
2022 A* conf
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.
NeurIPS
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
2022 J jnl
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.
CoRR
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
2022 A* conf
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases.
ICDM
Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
2022 A* conf
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries.
CVPR
Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi
2022 J jnl
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries.
CoRR
Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi
2022 A conf
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.
CIKM
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022 J jnl
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.
CoRR
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022 A* conf
Time Is MattEr: Temporal Self-supervision for Video Transformers.
ICML
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
2022 J jnl
Time Is MattEr: Temporal Self-supervision for Video Transformers.
CoRR
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
2022 A* conf
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.
NeurIPS
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022 J jnl
Understanding Cross-Domain Few-Shot Learning: An Experimental Study.
CoRR
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022 A* conf
ViDT: An Efficient and Effective Fully Transformer-based Object Detector.
ICLR
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
2022 A conf
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce.
CIKM
Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song
2022 J jnl
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce.
CoRR
Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song
2021 J jnl
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective.
CoRR
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
2021 A conf
Exploiting Scene Depth for Object Detection with Multimodal Transformers.
BMVC
Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang
2021 A* conf
Machine Learning Robustness, Fairness, and their Convergence.
KDD
Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang
2021 A* conf
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation.
AAAI
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee
2021 A* conf
Robust Learning by Self-Transition for Handling Noisy Labels.
KDD
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
2021 A* conf
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data.
NeurIPS
Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
2021 J jnl
ViDT: An Efficient and Effective Fully Transformer-based Object Detector.
CoRR
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
2020 J jnl
Ada-boundary: accelerating DNN training via adaptive boundary batch selection.
Mach. Learn.
Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
2020 A conf
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection.
CIKM
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
2020 A* conf
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea.
KDD
Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee
2020 J jnl
Learning from Noisy Labels with Deep Neural Networks: A Survey.
CoRR
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2020 — conf
Revisit Prediction by Deep Survival Analysis.
PAKDD (2)
Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
2020 A* conf
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data.
WWW
Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
2020 J jnl
Two-Phase Learning for Overcoming Noisy Labels.
CoRR
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2019 J jnl
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection.
CoRR
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
2019 J jnl
MLAT: Metric Learning for kNN in Streaming Time Series.
CoRR
Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee
2019 J jnl
Prestopping: How Does Early Stopping Help Generalization against Label Noise?
CoRR
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2019 A* conf
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning.
ICML
Hwanjun Song, Minseok Kim, Jae-Gil Lee
2018 — conf
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning.
SIGMOD Conference
Hwanjun Song, Jae-Gil Lee
2017 A* conf
PAMAE: Parallel
KDD
Hwanjun Song, Jae-Gil Lee, Wook-Shin Han