Jungong H. Han

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: July 02, 2026

Exploring the Stochastic Regularisation in Normalisation Layers for Semi-Supervised Learning.

Journal: IEEE transactions on pattern analysis and machine intelligence

Published: June 16, 2026

Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: June 04, 2026

Paving the Way for Point Cloud Video Representation Learning Using a PDE Model.

Journal: IEEE transactions on pattern analysis and machine intelligence

Published: May 29, 2026

ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: May 04, 2026

Semi-Negative Contrastive Subclass Discriminative Network for Compositional Zero-shot Learning.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: March 12, 2026

Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective.

Journal: IEEE transactions on pattern analysis and machine intelligence

Published: March 06, 2026

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: January 21, 2026

Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: January 13, 2026

DR-EFT: Exploring and reloading domain-representative experts for the memory-constrained fine-tuning of MoE large models.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: January 03, 2026

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

Exploring the Stochastic Regularisation in Normalisation Layers for Semi-Supervised Learning.

Exploring the Stochastic Regularisation in Normalisation Layers for Semi-Supervised Learning.

Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation.

Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation.

Paving the Way for Point Cloud Video Representation Learning Using a PDE Model.

Paving the Way for Point Cloud Video Representation Learning Using a PDE Model.

ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation.

ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation.

Semi-Negative Contrastive Subclass Discriminative Network for Compositional Zero-shot Learning.

Semi-Negative Contrastive Subclass Discriminative Network for Compositional Zero-shot Learning.

Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective.

Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective.

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts.

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts.

Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning.

Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning.

DR-EFT: Exploring and reloading domain-representative experts for the memory-constrained fine-tuning of MoE large models.

DR-EFT: Exploring and reloading domain-representative experts for the memory-constrained fine-tuning of MoE large models.

DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-Label Zero-Shot Learning.

DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-Label Zero-Shot Learning.

Fixing Background Misclassification in Few-Shot Object Detection via Product of Experts.

Fixing Background Misclassification in Few-Shot Object Detection via Product of Experts.