Song Guo

papers

872

total citations

papers (27)

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning

CVPR 2023arXiv

citations

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

CVPR 2024arXiv

citations

IRASim: A Fine-Grained World Model for Robot Manipulation

ICCV 2025arXiv

citations

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

AAAI 2024arXiv

citations

RORem: Training a Robust Object Remover with Human-in-the-Loop

CVPR 2025arXiv

citations

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

ICLR 2024

citations

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks

AAAI 2024

citations

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

AAAI 2025arXiv

citations

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition

CVPR 2025arXiv

citations

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting

ICCV 2025arXiv

citations

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

ICCV 2025arXiv

citations

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement

AAAI 2025

citations

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

AAAI 2025

citations

Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle

ICCV 2023

citations

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

NEURIPS 2022

citations

C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

CVPR 2024

citations

Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching

ICCV 2025

citations

(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning

CVPR 2023

citations

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

NEURIPS 2023

citations

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

ICML 2024

citations

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

ICML 2024

citations

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

ICML 2024

citations

Towards Test-Time Refusals via Concept Negation

NEURIPS 2023

citations

Song Guo

papers (27)

Layer-Wised Model Aggregation for Personalized Federated Learning

Parameterized Knowledge Transfer for Personalized Federated Learning

PMR: Prototypical Modal Rebalance for Multimodal Learning

Online Multiple Object Tracking With Cross-Task Synergy

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

IRASim: A Fine-Grained World Model for Robot Manipulation

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

RORem: Training a Robust Object Remover with Human-in-the-Loop

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching

(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Towards Test-Time Refusals via Concept Negation

papers (27)

Layer-Wised Model Aggregation for Personalized Federated Learning

Parameterized Knowledge Transfer for Personalized Federated Learning

PMR: Prototypical Modal Rebalance for Multimodal Learning

Online Multiple Object Tracking With Cross-Task Synergy

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

IRASim: A Fine-Grained World Model for Robot Manipulation

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

RORem: Training a Robust Object Remover with Human-in-the-Loop

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching

(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Towards Test-Time Refusals via Concept Negation