← Authors

Sung Ju Hwang

142 papers · 2011–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (14) 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (30) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (32) πŸ† Keyword Champion 🀝 Dynamic Duo (34) πŸ† Grand Slam πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (15) πŸ—ƒοΈ Keyword Collector (76) πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (141) ❓ The Questioner πŸ“ˆ Trend Setter ⚑ Prolific Year (23)

Conferences

ICLR (35) ICML (32) NIPS (32) ACL (11) CVPR (7) EMNLP (6) AAAI (5) NAACL (5) INTERSPEECH (3) EACL (2) ICCV (2) IJCAI (1) IJCNLP (1)

Top co-authors

Eunho Yang (34) Juho Lee (23) Jinheon Baek (21) Seanie Lee (19) Jaehong Yoon (18) Minki Kang (14) Hae Beom Lee (13) Jinwoo Shin (13) Dong Bok Lee (10) Jaehyeong Jo (9)

Research topics

Privacy (1)

Keywords

neural network (11) question answering (9) knowledge distillation (8) model compression (8) transfer learning (7) large language model (7) continual learning (6) few-shot learning (6) contrastive learning (6) representation learning (6) graph neural network (6) data augmentation (5) self-supervised learning (5) multi-task learning (5) diffusion model (5) deep neural network (5) reinforcement learning (4) federated learning (4) attention mechanism (4) adversarial robustness (4)

Papers

Unified Multimodal Interleaved Document Representation for Retrieval EACL 2026
VideoRAG: Retrieval-Augmented Generation over Video Corpus ACL 2025
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding CVPR 2025
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML ICML 2025
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks ICML 2025
Efficient Long Context Language Model Retrieval with Compression ACL 2025
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models ACL 2025
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention ICLR 2025
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models ICLR 2025
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning ICLR 2025
Training Free Exponential Context Extension via Cascading KV Cache ICLR 2025
Diffusion-based Neural Network Weights Generation ICLR 2025
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models NAACL 2025
Efficient Real-time Refinement of Language Model Text Generation EMNLP 2025
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching EMNLP 2025
Database-Augmented Query Representation for Information Retrieval EMNLP 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR 2025
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models NIPS 2024
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models NIPS 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024
SEA: Sparse Linear Attention with Estimated Attention Mask ICLR 2024
Progressive Fourier Neural Representation for Sequential Video Compilation ICLR 2024
Self-Supervised Dataset Distillation for Transfer Learning ICLR 2024
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models ICLR 2024
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models NAACL 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024
Rethinking Code Refinement: Learning to Judge Code Efficiency EMNLP 2024
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts ICML 2024
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 NAACL 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity NAACL 2024
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment ICML 2024
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation ICML 2024
Drug Discovery with Dynamic Goal-aware Fragments ICML 2024
Graph Generation with Diffusion Mixture ICML 2024
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes ICML 2024
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens ICML 2024
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NIPS 2024
Set-based Neural Network Encoding Without Weight Tying NIPS 2024
Self-Distillation for Further Pre-training of Transformers ICLR 2023
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection NIPS 2023
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations NIPS 2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks NIPS 2023
Effective Targeted Attacks for Adversarial Self-Supervised Learning NIPS 2023
Direct Fact Retrieval from Knowledge Graphs without Entity Linking ACL 2023
Language Detoxification with Attribute-Discriminative Latent Space ACL 2023
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning ACL 2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models ACL 2023
The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation CVPR 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement EACL 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models ICCV 2023
On the Soft-Subnetwork for Few-Shot Class Incremental Learning ICLR 2023
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders ICLR 2023
Sparse Token Transformer with Attention Back Tracking ICLR 2023
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning ICLR 2023
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets ICLR 2023
Personalized Subgraph Federated Learning ICML 2023
Margin-based Neural Network Watermarking ICML 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation ICML 2023
Continual Learners are Incremental Model Generalizers ICML 2023
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models INTERSPEECH 2023
Online Coreset Selection for Rehearsal-based Continual Learning ICLR 2022
Representational Continuity for Unsupervised Continual Learning ICLR 2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing AAAI 2022
Consistency Regularization for Adversarial Robustness AAAI 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022
MPViT: Multi-Path Vision Transformer for Dense Prediction CVPR 2022
Set Based Stochastic Subsampling ICML 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning NIPS 2022
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NIPS 2022
Learning to Generate Inversion-Resistant Model Explanations NIPS 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning NIPS 2022
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation ACL 2022
KALA: Knowledge-Augmented Language Model Adaptation NAACL 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization ICML 2022
Forget-free Continual Learning with Winning Subnetworks ICML 2022
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty ICLR 2022
Model-augmented Prioritized Experience Replay ICLR 2022
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning ICLR 2022
Skill-based Meta-Reinforcement Learning ICLR 2022
GTA: Graph Truncated Attention for Retrosynthesis AAAI 2021
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss ICCV 2021
Learning to Sample with Local and Global Contexts in Experience Replay Buffer ICLR 2021
FedMix: Approximation of Mixup under Mean Augmented Federated Learning ICLR 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling ICLR 2021
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning ICLR 2021
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation ICLR 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets ICLR 2021
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning ICLR 2021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning IJCAI 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA IJCNLP 2021
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models INTERSPEECH 2021
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NIPS 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NIPS 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning NIPS 2021
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation NIPS 2021
Edge Representation Learning with Hypergraphs NIPS 2021
Learning to Generate Noise for Multi-Attack Robustness ICML 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation ICML 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021
Adversarial Purification with Score-based Generative Models ICML 2021
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA ACL 2021
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021
Cost-Effective Interactive Attention Learning with Neural Attention Processes ICML 2020
Adversarial Neural Pruning with Latent Vulnerability Suppression ICML 2020
Meta Variance Transfer: Learning to Augment from the Others ICML 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NIPS 2020
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs INTERSPEECH 2020
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition ICLR 2020
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks ICLR 2020
Meta Dropout: Learning to Perturb Latent Features for Generalization ICLR 2020
Time-Reversal Symmetric ODE Network NIPS 2020
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NIPS 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning NIPS 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NIPS 2020
Neural Complexity Measures NIPS 2020
Bootstrapping neural processes NIPS 2020
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks ICLR 2020
Attribution Preservation in Network Compression for Reliable Network Interpretation NIPS 2020
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare AAAI 2020
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs ACL 2020
Self-supervised Label Augmentation via Input Transformations ICML 2020
Adversarial Self-Supervised Contrastive Learning NIPS 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation EMNLP 2020
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data ACL 2019
Learning What and Where to Transfer ICML 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019
LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING ICLR 2019
Lifelong Learning with Dynamically Expandable Networks ICLR 2018
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding NIPS 2018
DropMax: Adaptive Variational Softmax NIPS 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction NIPS 2018
Deep Asymmetric Multi-task Feature Learning ICML 2018
Combined Group and Exclusive Sparsity for Deep Neural Networks ICML 2017
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos CVPR 2015
A Unified Semantic Embedding: Relating Taxonomies and Attributes NIPS 2014
Analogy-preserving Semantic Embedding for Visual Object Categorization ICML 2013
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011