Hwanjun Song

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 76

Top Topics

Top Venues

Publications

Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
Adaptive Shortcut Debiasing for Online Continual Learning. AAAI (2024)
Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Justin Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. CoRR (2024)
Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. ACL (1) (2024)
Hwanjun Song, Jihwan Bang
Prompt-guided DETR with RoI-pruned masked attention for open-vocabulary object detection. Pattern Recognit. 155 (2024)
Hwanjun Song, Minseok Kim, Jae-Gil Lee
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. AAAI (2024)
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
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. NAACL-HLT (2024)
Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour
FineSurE: Fine-grained Summarization Evaluation using LLMs. CoRR (2024)
Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. NAACL-HLT (2024)
Jianfeng He, Hang Su, Jason Cai, Igor Shalyminov, Hwanjun Song, Saab Mansour
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection. CoRR (2024)
Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights. CoRR (2024)
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
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. CoRR (2024)
Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders. CoRR (2024)
Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour
FineSurE: Fine-grained Summarization Evaluation using LLMs. ACL (1) (2024)
Hossein Aboutalebi, Hwanjun Song, Yusheng Xie, Arshit Gupta, Lijia Sun, Hang Su, Igor Shalyminov, Nikolaos Pappas, Siffi Singh, Saab Mansour
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. NAACL-HLT (2024)
Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. WWW (2024)
Hwanjun Song, Jihwan Bang
Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection. CoRR (2023)
Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. EMNLP (Findings) (2023)
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
Learning From Noisy Labels With Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
Data collection and quality challenges in deep learning: a data-centric AI perspective. VLDB J. 32 (4) (2023)
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
Re-thinking Federated Active Learning based on Inter-class Diversity. CoRR (2023)
Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun
Re-Thinking Federated Active Learning Based on Inter-Class Diversity. CVPR (2023)
Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
Context Consistency Regularization for Label Sparsity in Time Series. ICML (2023)
Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song
Generating Instance-level Prompts for Rehearsal-free Continual Learning. ICCV (2023)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. CoRR (2023)
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. NeurIPS (2023)
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)
Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. EMNLP (2023)
Jemin Lee, Yongin Kwon, Jeman Park, Misun Yu, Hwanjun Song
Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction. CoRR (2023)
Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. CoRR (2023)
Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. CoRR (2023)
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. CoRR (2023)
Hwanjun Song, Minseok Kim, Jae-Gil Lee
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise. CoRR (2023)
Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
Adaptive Shortcut Debiasing for Online Continual Learning. CoRR (2023)
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 (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR (2022)
Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CoRR (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR (2022)
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)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS (2022)
Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. CoRR (2022)
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR (2022)
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)
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. AAAI (2022)
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS (2022)
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. CoRR (2022)
Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. CIKM (2022)
Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
Coherence-based Label Propagation over Time Series for Accelerated Active Learning. ICLR (2022)
Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM (2022)
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
Meta-Learning for Online Update of Recommender Systems. AAAI (2022)
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 (2022)
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR (2022)
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
Meta-Learning for Online Update of Recommender Systems. CoRR (2022)
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
Time Is MattEr: Temporal Self-supervision for Video Transformers. CoRR (2022)
Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. CIKM (2022)
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML (2022)
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
Robust Learning by Self-Transition for Handling Noisy Labels. KDD (2021)
Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang
Machine Learning Robustness, Fairness, and their Convergence. KDD (2021)
Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR (2021)
Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS (2021)
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective. CoRR (2021)
Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. AAAI (2021)
Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang
Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC (2021)
Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
Revisit Prediction by Deep Survival Analysis. PAKDD (2) (2020)
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. CIKM (2020)
Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. WWW (2020)
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
Two-Phase Learning for Overcoming Noisy Labels. CoRR (2020)
Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. KDD (2020)
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
Learning from Noisy Labels with Deep Neural Networks: A Survey. CoRR (2020)
Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
Ada-boundary: accelerating DNN training via adaptive boundary batch selection. Mach. Learn. 109 (9-10) (2020)
Hwanjun Song, Minseok Kim, Jae-Gil Lee
SELFIE: Refurbishing Unclean Samples for Robust Deep Learning. ICML (2019)
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. CoRR (2019)
Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee
MLAT: Metric Learning for kNN in Streaming Time Series. CoRR (2019)
Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
Prestopping: How Does Early Stopping Help Generalization against Label Noise? CoRR (2019)
Hwanjun Song, Jae-Gil Lee
RP-DBSCAN: A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning. SIGMOD Conference (2018)
Hwanjun Song, Jae-Gil Lee, Wook-Shin Han
-Medoids Clustering with High Accuracy and Efficiency. KDD (2017)