← Authors

Eunho Yang

96 papers · 2011–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (25) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🏠 Conference Loyalist (21) πŸ”¬ Deep Specialist (11) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam 🀝 Dynamic Duo (34) πŸ“ˆ Trend Setter ❓ The Questioner (3) πŸš€ Conference Pioneer ⚑ Prolific Year (12) πŸ”₯ Unstoppable (16) πŸ—ƒοΈ Keyword Collector (87) πŸ’Ž Century Club (94)

Conferences

ICLR (22) NIPS (21) ICML (17) AAAI (6) CVPR (5) EMNLP (5) AISTATS (4) ICCV (3) INTERSPEECH (3) EACL (2) ECCV (2) IJCAI (2) NAACL (2) JMLR (1) WACV (1)

Top co-authors

Sung Ju Hwang (34) June Yong Yang (11) Jinwoo Shin (10) Joonhyung Park (9) Pradeep Ravikumar (8) Juho Lee (8) Yeonsung Jung (7) Jihun Yun (7) Saehoon Kim (6) Hajin Shim (6)

Keywords

graph neural network (6) graphical model (6) multi-task learning (5) neural network (5) uncertainty quantification (4) exponential family (4) contrastive learning (4) negative transfer (3) knowledge distillation (3) statistical guarantee (3) convex optimization (3) model compression (3) data augmentation (3) influence function (3) diffusion model (3) representation learning (3) non-convex optimization (3) high-dimensional statistics (3) attention mechanism (3) exponential families (3)

Papers

LLM Plug-ins Are Not a Free Lunch for Clinical Time-Series Prediction EACL 2026
Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines EACL 2026
Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation ICML 2025
REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring ICLR 2025
Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation ICLR 2025
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning ICLR 2025
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models ICLR 2025
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding ICLR 2025
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing CVPR 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025
Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing ICCV 2025
Taxonomy of Comprehensive Safety for Clinical Agents EMNLP 2025
Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation EMNLP 2025
Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens EMNLP 2025
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy CVPR 2025
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation ECCV 2024
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency ICML 2024
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images CVPR 2024
TEDDY: Trimming Edges with Degree-based Discrimination Strategy ICLR 2024
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication ICLR 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NIPS 2024
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning EMNLP 2024
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias ECCV 2024
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel ICLR 2023
GEX: A flexible method for approximating influence via Geometric Ensemble NIPS 2023
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NIPS 2023
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding CVPR 2023
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR 2023
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label ICCV 2023
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance ICLR 2023
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation ICML 2023
RGE: A Repulsive Graph Rectification for Node Classification via Influence ICML 2023
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization INTERSPEECH 2023
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models INTERSPEECH 2023
Set Based Stochastic Subsampling ICML 2022
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods NAACL 2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022
Online Coreset Selection for Rehearsal-based Continual Learning ICLR 2022
Model-augmented Prioritized Experience Replay ICLR 2022
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification ICLR 2022
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning AISTATS 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification ICML 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing AAAI 2022
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation AAAI 2022
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation ICML 2021
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks NIPS 2021
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss ICCV 2021
GTA: Graph Truncated Attention for Retrosynthesis AAAI 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
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning ICLR 2021
Distilling Linguistic Context for Language Model Compression EMNLP 2021
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning NIPS 2021
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models INTERSPEECH 2021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning IJCAI 2021
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks ICLR 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
Neural Complexity Measures NIPS 2020
Bootstrapping neural processes NIPS 2020
Attribution Preservation in Network Compression for Reliable Network Interpretation NIPS 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
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare AAAI 2020
Cost-Effective Interactive Attention Learning with Neural Attention Processes ICML 2020
Time-Reversal Symmetric ODE Network NIPS 2020
Spectral Approximate Inference ICML 2019
LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING ICLR 2019
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning ICML 2019
Deep Asymmetric Multi-task Feature Learning ICML 2018
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
Ordinal Graphical Models: A Tale of Two Approaches ICML 2017
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017
Asymmetric Multi-task Learning Based on Task Relatedness and Loss ICML 2016
Graphical Models via Univariate Exponential Family Distributions JMLR 2015
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NIPS 2015
Closed-form Estimators for High-dimensional Generalized Linear Models NIPS 2015
Elementary Estimators for Graphical Models NIPS 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
Mixed Graphical Models via Exponential Families AISTATS 2014
Elementary Estimators for High-Dimensional Linear Regression ICML 2014
Conditional Random Fields via Univariate Exponential Families NIPS 2013
On Robust Estimation of High Dimensional Generalized Linear Models IJCAI 2013
On Poisson Graphical Models NIPS 2013
Dirty Statistical Models NIPS 2013
Perturbation based Large Margin Approach for Ranking AISTATS 2012
Graphical Models via Generalized Linear Models NIPS 2012
On NDCG Consistency of Listwise Ranking Methods AISTATS 2011