Xiao Zhang

Affiliations

Huazhong University of Science and Technology

papers

526

total citations

papers (25)

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection

CVPR 2021arXiv

177

citations

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification

CVPR 2021arXiv

122

citations

Self-Supervised Visual Representation Learning from Hierarchical Grouping

NEURIPS 2020arXiv

citations

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels

CVPR 2021arXiv

citations

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

ECCV 2022arXiv

citations

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph

AAAI 2025arXiv

citations

An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control

AAAI 2025arXiv

citations

Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

CVPR 2024arXiv

citations

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

AAAI 2025

citations

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

NEURIPS 2023arXiv

citations

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

ICCV 2025arXiv

citations

Nested Diffusion Models Using Hierarchical Latent Priors

CVPR 2025arXiv

citations

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization

ICCV 2025arXiv

citations

RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax

ECCV 2020

citations

NaMa: Neighbor

AAAI 2024

citations

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance

NEURIPS 2023

citations

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

AAAI 2025

citations

Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model

ICCV 2025

citations

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement

ICCV 2025arXiv

citations

Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models

AAAI 2025arXiv

citations

Trigger3:Refining Query Correction via Adaptive Model Selector

AAAI 2025

citations

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

AAAI 2025

citations

Xiao Zhang

Affiliations

papers (25)

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification

Self-Supervised Visual Representation Learning from Hierarchical Grouping

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph

An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control

Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Conditional Language Learning with Context

Hierarchical Implicit Neural Emulators

Reward Imputation with Sketching for Contextual Batched Bandits

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

Nested Diffusion Models Using Hierarchical Latent Priors

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization

RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax

NaMa: Neighbor

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement

Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models

Trigger3:Refining Query Correction via Adaptive Model Selector

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

papers (25)

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification

Self-Supervised Visual Representation Learning from Hierarchical Grouping

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph

An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control

Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Conditional Language Learning with Context

Hierarchical Implicit Neural Emulators

Reward Imputation with Sketching for Contextual Batched Bandits

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

Nested Diffusion Models Using Hierarchical Latent Priors

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization

RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax

NaMa: Neighbor

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement

Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models

Trigger3:Refining Query Correction via Adaptive Model Selector

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval