Publications
We publish our research in high-impact conferences and journals within the field of Computer Science. We have collaborated top IT tech companies such as AWS AI Labs, Google Research, and NAVER AI Lab.
As of now, we published more than 50+ CS top confernces in various domains, including NLP (EMNLP), CV (ICCV, CVPR), ML (NeurIPS, ICLR, ICML, AAAI), DM (KDD, CIKM, ICDM, WWW, SIGMOD).
Asterisk (*) denotes corresponding authors. We are currently working on fixing the broken link on this page.
Preprint
arXiv NLP ReFeed: Multi-Dimensional Summarization Refinement with Reflective Reasoning on Feedback
Taewon Yun, Jihwan Oh, Hyangsuk Min, Yuho Lee, Jihwan Bang, Jason Cai, and Hwanjun Song* (with Amazon)
In arXiv preprint arXiv:2503.21332, 2025
International Conferences and Journals
ICCV Vision Robust Dataset Condensation using Supervised Contrastive Learning
Nicole Hee-Yeon Kim and Hwanjun Song*
In International Conference on Computer Vision, 2025
DMKD NLP Fine-Grained Multi-Prompt Essay Scoring with Multi-Level Disentanglement
Donghee Han, Daeyoung Roh, Euihwan Han, Hwanjun Song*, and Mun Yong Yi*
Data Mining and Knowledge Discovery (SCIE, IF=5.3), 2025
SIGIR (Oral) Recommendation LLM-based User Profile Management for Recommender System
Seunghwan Bang, and Hwanjun Song*
International ACM SIGIR Conference on Research and Development in Information Retrieval (GENNEXT Workshop), 2025
ACL NLP Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
Hyangsuk Min, Yuho Lee, Minjeong Ban, Jiaqi Deng, Nicole Hee-Yeon Kim, Taewon Yun, Hang Su, Jason Cai, and Hwanjun Song* (with Amazon)
Annual Meeting of the Association for Computational Linguistics (Main), 2025
ACL NLP Word2Passage : Word-level Importance Re-weighting for Query Expansion
Jeonghwan Choi, Minjeong Ban, Minseok Kim, and Hwanjun Song* (with Meta)
In Annual Meeting of the Association for Computational Linguistics (Findings), 2025
KDD Time Series Bi-Modal Learning for Networked Time Series
Youngeun Nam, Jihye Na, Susik Yoon, Hwanjun Song, Jae-Gil Lee*, and Byung Suk Lee (with UVM)
In International Conference on Knowledge Discovery and Data Mining, 2025
ICWSM Time Series Mobility Networked Time-Series Forecasting Benchmark Datasets
Jihye Na, Youngeun Nam, Susik Yoon, Hwanjun Song, Byung Suk Lee, and Jae-Gil Lee* (with UVM)
In International AAAI Conference on Web and Social Media, 2025
NAACL (Oral) NLP Learning to Summarize from LLM-generated Feedback
Hwanjun Song*, Taewon Yun, Yuho Lee, Jihwan Oh, Gihun Lee, Jason Cai, and Hang Su (with Amazon, HyperConnect)
In Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2025
NAACL (Oral) NLP Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation
Mahnaz Koupaee, Jake W. Vincent, Saab Mansour, Igor Shalyminov, Han He, Hwanjun Song, Raphael Shu, Jianfeng He, Yi Nian, Amy Wing-mei Wong, and Kyu J. Han, Hang Su* (with Amazon)
In Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2025
ICLR Multimodal RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, and Jae-Gil Lee*
In International Conference on Learning Representations, 2025
COLING (Oral) NLP Learning to Verify Summary Facts with Fine-Grained LLM Feedback
Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, and Hwanjun Song*
In International Conference on Computational Linguistics, 2025
NeurIPS Time Series Exploiting Representation Curvature for Boundary Detection in Time Series
Yooju Shin, Jaehyun Park, Susik Yoon, Hwanjun Song, Byung Suk Lee, and Jae-Gil Lee* (with UVM)
In Advances in Neural Information Processing Systems, 2024
ECCV Multimodal Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights
Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, and Weidong Cai* (with Amazon, USYD)
In International Conference on European Conference on Computer Vision, 2024
PR Vision Prompt-Guided DETR with RoI-Pruned Masked Attention for Open-Vocabulary Object Detection
Hwanjun Song*, and Jihwan Bang
Pattern Recognition (SCIE, IF=8.0), 2024
IoT Vision Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems
Jemin Lee, Yongin Kwon, Sihyeong Park, Misun Yu, Jeman Park, and Hwanjun Song*
IEEE Internet of Things Journal (SCIE, IF=10.6), 2024
ACL NLP FineSurE: Fine-grained Summarization Evaluation using LLMs
Hwanjun Song*, Hang Su, Igore Shalyminov, Jason Cai, and Saab Mansour (with Amazon)
In Annual Meeting of the Association for Computational Linguistics (Main), 2024
ACL NLP Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hwanjun Song, and Saab Mansour (with Amazon)
In Annual Meeting of the Association for Computational Linguistics (Main), 2024
ICML Vision One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, and Jae-Gil Lee*
In International Conference on Machine Learning, 2024
NAACL (Oral) NLP MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
Hossein Aboutalebi, Hwanjun Song*, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, and Saab Mansour (with Amazon)
In Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2024
NAACL NLP TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W Vincent, Yu’an Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, and Kathleen McKeown (with Amazon)
In Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2024
NAACL (Oral) NLP Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, and Saab Mansour (with Amazon)
In Annual Conference of the North American Chapter of the Association for Computational Linguistics (Main), 2024
WWW Time Series Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection
Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee*, and Byung Suk Lee (with UVM)
In Proceedings of The Web Conference, 2024
AAAI Vision Adaptive Shortcut Debiasing for Online Continual Learning
Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, and Jae-Gil Lee*
In AAAI Conference on Artificial Intelligence, 2024
AAAI Vision Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song*, Minseok Kim, and Jae-Gil Lee (with Amazon)
In AAAI Conference on Artificial Intelligence, 2024
EMNLP NLP Enhancing Abstractiveness of Summarization Models through Calibrated Distillation
Hwanjun Song*, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, and Saab Mansour (with Amazon)
In International Conference on Empirical Methods in Natural Language Processing (Findings), 2023
EMNLP NLP Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
Sangmin Bae, Jongwoo Ko, Hwanjun Song*, and Se-Young Yun* (with Amazon)
In International Conference on Empirical Methods in Natural Language Processing (Main), 2023
NeurIPS Vision Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, and Jae-Gil Lee*
In Advances in Neural Information Processing Systems, 2023
ICCV (Oral) Vision Generating instance-level prompts for rehearsal-free continual learning
Dahuin Jung, Dongyoon Han, Jihwan Bang, and Hwanjun Song* (with NAVER, Amazon, SNU)
In International Conference on Computer Vision, 2023
ICML Time Series Context Consistency Regularization for Label Sparsity in Time Series
Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee*, and Byung Suk Lee (with UVM)
In International Conference on Machine Learning, 2023
CVPR Vision Re-thinking Federated Active Learning based on Inter-class Diversity
SangMook Kim, Sangmin Bae, Hwanjun Song*, and Se-Young Yun* (with NAVER)
In International Conference on Computer Vision and Pattern Recognition, 2023
ICLR Vision Online Boundary-Free Continual Learning by Scheduled Data Prior
Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, and Jonghyun Choi* (with NAVER, GIST)
In International Conference on Learning Representations, 2023
VLDB Survey Data Collection and Quality Challenges in Deep Learning: A Data-centric AI Perspective
Steven Euijong Whang, Yuji Roh, Hwanjun Song, and Jae-Gil Lee* (with NAVER)
The VLDB Journal (SCIE, IF=4.2), 2023
NeurIPS Vision Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song*, and Jae-Gil Lee* (with NAVER)
In Advances in Neural Information Processing Systems, 2022
NeurIPS Vision Understanding Cross-Domain Few-Shot Learning: An Experimental Study
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song*, and Se-Young Yun* (with NAVER)
In Advances in Neural Information Processing Systems, 2022
ICDM Time Series Multi-View POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases
Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, and Jae-Gil Lee* (with NAVER)
In International Conference on Data Mining, 2022
CIKM (Oral) Vision E-CLIP: Large-Scale Vision-Language Representation Learning in E-Commerce
Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, and Hwanjun Song* (with NAVER)
In International Conference on Information and Knowledge Management, 2022
CIKM (Oral) Vision FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song*, and Se-Young Yun* (with NAVER)
In International Conference on Information and Knowledge Management, 2022
CIKM Vision ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song*, and Se-Young Yun* (with NAVER)
In International Conference on Information and Knowledge Management, 2022
TNNLS Survey Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, and Jae-Gil Lee* (with NAVER)
IEEE Transactions on Neural Networks and Learning Systems (SCIE, IF=14.255), 2022
ICML Vision Time Is MattEr: Temporal Self-supervision for Video Transformers
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, and Jinwoo Shin* (with NAVER)
In International Conference on Machine Learning, 2022
ICML Vision Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, and Hyun Oh Song* (with NAVER, SNU)
In International Conference on Machine Learning, 2022
ICLR Time Series Coherence-based Label Propagation over Time Series for Accelerated Active Learning
Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee*, and Byung Suk Lee (with UVM)
In International Conference on Learning Representations, 2022
ICLR Vision VIDT: An Efficient and Effective Fully Transformer-based Object Detector
Hwanjun Song*, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, and Ming-Hsuan Yang (with NAVER, Google)
In International Conference on Learning Representations, 2022
AAAI Recommendation Meta-Learning for Online Update of Recommender Systems
Hwanjun Song*, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, and Ming-Hsuan Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, and Jae-Gil Lee* (with NAVER)
In AAAI Conference on Artificial Intelligence, 2022
AAAI (Oral) Time Series Covid-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, and Jae-Gil Lee* (with NAVER)
In AAAI Conference on Artificial Intelligence, 2022
CVPR Vision Online Continual Learning on A Contaminated Data Stream with Blurry Task Boundaries
Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, and Jonghyun Choi* (with NAVER, GIST)
In International Conference on Computer Vision and Pattern Recognition, 2022
NeurIPS Vision Task-agnostic undesirable feature deactivation using out-of-distribution data
Dongmin Park, Hwanjun Song, MinSeok Kim, and Jae-Gil Lee* (with NAVER)
In Advances in Neural Information Processing Systems, 2021
BMVC Vision Exploiting Scene Depth for Object Detection with Multimodal Transformers
Hwanjun Song*, Eunyoung Kim, Varun Jampan, Deqing Sun, Jae-Gil Lee, and Ming-Hsuan Yang (with NAVER, Google)
In British Machine Vision Conference, 2021
KDD (Oral) Vision Robust Learning by Self-Transition for Handling Noisy Labels
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, and Jae-Gil Lee* (with NAVER)
In International Conference on Knowledge Discovery and Data Mining, 2021
AAAI Recommendation Premere: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, and Jae-Gil Lee*
In AAAI Conference on Artificial Intelligence, 2021
CIKM (Oral) Vision Carpe Diem, Seize the Samples Uncertain" at the Moment" for Adaptive Batch Selection
Hwanjun Song, Minseok Kim, Sundong Kim, and Jae-Gil Lee* (with IBS)
In International Conference on Information and Knowledge Management, 2020
ML Vision Ada-Boundary: Accelerating DNN Training via Adaptive Boundary Batch Selection
Hwanjun Song, Sundong Kim, Minseok Kim, and Jae-Gil Lee* (with IBS)
Machine Learning (SCIE, IF=5.414), 2020
KDD (Oral) Time Series Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea
Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, and Jae-Gil Lee*
In International Conference on Knowledge Discovery and Data Mining, 2020
PAKDD Time Series Revisit Prediction by Deep Survival Analysis
Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, and Jae-Gil Lee* (with IBS)
In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2020
WWW (Oral) Vision TRAP: Two-level regularized autoencoder-based embedding for power-law distributed data
Dongmin Park, Hwanjun Song, Minseok Kim, and Jae-Gil Lee*
In Proceedings of The Web Conference, 2020
ICML (Spotlight) Vision SELFIE: Refurbishing Unclean Samples for Robust Deep Learning
Hwanjun Song, Minseok Kim, and Jae-Gil Lee*
In International Conference on Machine Learning, 2019
SIGMOD Database RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm based on Random Partitioning
Hwanjun Song, and Jae-Gil Lee*
In International Conference on Management of Data, 2018
KDD Database PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency
Hwanjun Song, Jae-Gil Lee*, and Wook-Shin Han
In International Conference on Knowledge Discovery and Data Mining, 2017