Sung Ju Hwang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 266

Top Venues

Publications

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
Database-Augmented Query Representation for Information Retrieval. CoRR (2024)
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. CoRR (2024)
Hamin Koo, Minseon Kim, Sung Ju Hwang
Optimizing Query Generation for Enhanced Document Retrieval in RAG. CoRR (2024)
Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR (2024)
Beomyoung Kim, Donghyun Kim, Sung Ju Hwang
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation. CoRR (2024)
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. NAACL-HLT (2024)
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Self-Supervised Dataset Distillation for Transfer Learning. ICLR (2024)
Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang
SEA: Sparse Linear Attention with Estimated Attention Mask. ICLR (2024)
Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Sung Ju Hwang
Visualizing the loss landscape of Self-supervised Vision Transformer. CoRR (2024)
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR (2024)
Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. CoRR (2024)
Hoyong Jeong, Kiwon Chung, Sung Ju Hwang, Sooel Son
Targeted Model Inversion: Distilling style encoded in predictions. Comput. Secur. 144 (2024)
Beomyoung Kim, Joonsang Yu, Sung Ju Hwang
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR (2024)
Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. CoRR (2024)
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT (2024)
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR (2024)
Heejun Lee, Geon Park, Youngwan Lee, Jina Kim, Wonyoung Jeong, Myeongjae Jeon, Sung Ju Hwang
HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. CoRR (2024)
Jaewoo Lee, Boyang Li, Sung Ju Hwang
Concept-skill Transferability-based Data Selection for Large Vision-Language Models. CoRR (2024)
Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models. CoRR (2024)
Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Sung Ju Hwang, Hae Beom Lee
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. CoRR (2024)
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models. CoRR (2024)
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR (2024)
Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR (2024)
Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang
Automatic Jailbreaking of the Text-to-Image Generative AI Systems. CoRR (2024)
Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang
Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. CoRR (2024)
Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang
Diffusion-based Neural Network Weights Generation. CoRR (2024)
Daeun Lee, Jaehong Yoon, Sung Ju Hwang
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. CoRR (2024)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR (2023)
Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. CoRR (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) (2023)
Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang
KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis. CoRR (2023)
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR (2023)
Seul Lee, Jaehyeong Jo, Sung Ju Hwang
Exploring Chemical Space with Score-based Out-of-distribution Generation. ICML (2023)
Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. CoRR (2023)
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (2) (2023)
Minki Kang, Jin Myung Kwak, Jinheon Baek, Sung Ju Hwang
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation. CoRR (2023)
Jaehong Yoon, Sung Ju Hwang, Yue Cao
Continual Learners are Incremental Model Generalizers. CoRR (2023)
Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR (2023)
Heejun Lee, Minki Kang, Youngwan Lee, Sung Ju Hwang
Sparse Token Transformer with Attention Back Tracking. ICLR (2023)
Doyeon Kim, Eunji Ko, Hyunsu Kim, Yunji Kim, Junho Kim, Dongchan Min, Junmo Kim, Sung Ju Hwang
Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization. CoRR (2023)
Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR (2023)
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park
Test-Time Self-Adaptive Small Language Models for Question Answering. EMNLP (Findings) (2023)
Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
Personalized Subgraph Federated Learning. ICML (2023)
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
Test-Time Self-Adaptive Small Language Models for Question Answering. CoRR (2023)
Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang
Knowledge-Augmented Language Model Verification. CoRR (2023)
Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR (2023)
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 (2023)
Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection. NeurIPS (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) (2023)
Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. CoRR (2023)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
Self-Distillation for Further Pre-training of Transformers. ICLR (2023)
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR (2023)
Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR (2023)
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)
Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. CoRR (2023)
Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR (2023)
Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
Rethinking the Entropy of Instance in Adversarial Training. SaTML (2023)
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)
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. NeurIPS (2023)
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. CoRR (2023)
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-young Yun
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. CoRR (2023)
Jinheon Baek, Soyeong Jeong, Minki Kang, Jong Park, Sung Ju Hwang
Knowledge-Augmented Language Model Verification. EMNLP (2023)
Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang
Lifelong Audio-video Masked Autoencoder with Forget-robust Localized Alignments. CoRR (2023)
Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. ICLR (2023)
Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access 11 (2023)
Jaehyeong Jo, Dongki Kim, Sung Ju Hwang
Graph Generation with Destination-Driven Diffusion Mixture. CoRR (2023)
Minki Kang, Dongchan Min, Sung Ju Hwang
Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models. ICASSP (2023)
Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. INTERSPEECH (2023)
Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
Effective Targeted Attacks for Adversarial Self-Supervised Learning. NeurIPS (2023)
Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang
Margin-based Neural Network Watermarking. ICML (2023)
Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. NeurIPS (2023)
Jaehyeong Jo, Sung Ju Hwang
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. CoRR (2023)
Jaehong Yoon, Sung Ju Hwang, Yue Cao
Continual Learners are Incremental Model Generalizers. ICML (2023)
Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. EACL (2023)
Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
Progressive Neural Representation for Sequential Video Compilation. CoRR (2023)
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR (2023)
Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. ACL (Findings) (2023)
Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. ACL (1) (2023)
Jin Myung Kwak, Minseon Kim, Sung Ju Hwang
Context-dependent Instruction Tuning for Dialogue Response Generation. CoRR (2023)
Jin Myung Kwak, Minseon Kim, Sung Ju Hwang
Language Detoxification with Attribute-Discriminative Latent Space. ACL (1) (2023)
Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang
SEA: Sparse Linear Attention with Estimated Attention Mask. CoRR (2023)
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR (2023)
Seul Lee, Seanie Lee, Sung Ju Hwang
Drug Discovery with Dynamic Goal-aware Fragments. CoRR (2023)
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Self-Supervised Dataset Distillation for Transfer Learning. CoRR (2023)
Bruno Andreis, Bedionita Soro, Sung Ju Hwang
Set-based Neural Network Encoding. CoRR (2023)
Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML (2023)
Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. CoRR (2023)
Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS (2022)
Wonyong Jeong, Sung Ju Hwang
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching. NeurIPS (2022)
Dongki Kim, Jinheon Baek, Sung Ju Hwang
Graph Self-supervised Learning with Accurate Discrepancy Learning. CoRR (2022)
Seul Lee, Jaehyeong Jo, Sung Ju Hwang
Exploring Chemical Space with Score-based Out-of-distribution Generation. CoRR (2022)
Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang
Universal Mini-Batch Consistency for Set Encoding Functions. CoRR (2022)
Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. ICML (2022)
Minki Kang, Jinheon Baek, Sung Ju Hwang
KALA: Knowledge-Augmented Language Model Adaptation. NAACL-HLT (2022)
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. ACL (2) (2022)
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
Representational Continuity for Unsupervised Continual Learning. ICLR (2022)
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
Forget-free Continual Learning with Winning Subnetworks. ICML (2022)
Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
Skill-based Meta-Reinforcement Learning. ICLR (2022)
Wonyong Jeong, Sung Ju Hwang
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sung Ju Hwang