Xiao Zhou

papers

395

total citations

papers (11)

Efficient Neural Network Training via Forward and Backward Propagation Sparsification

NEURIPS 2021arXiv

citations

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

AAAI 2025arXiv

citations

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

NEURIPS 2025arXiv

citations

Neural Global Shutter: Learn To Restore Video From a Rolling Shutter Camera With Global Reset Feature

CVPR 2022arXiv

citations

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB

CVPR 2021arXiv

citations

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

AAAI 2024arXiv

citations

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation

AAAI 2025arXiv

citations

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

AAAI 2024

citations

Xiao Zhou

papers (11)

DEIM: DETR with Improved Matching for Fast Convergence

Effective Sparsification of Neural Networks With Global Sparsity Constraint

Adaptive Sparse Pairwise Loss for Object Re-Identification

Efficient Neural Network Training via Forward and Backward Propagation Sparsification

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

Neural Global Shutter: Learn To Restore Video From a Rolling Shutter Camera With Global Reset Feature

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

papers (11)

DEIM: DETR with Improved Matching for Fast Convergence

Effective Sparsification of Neural Networks With Global Sparsity Constraint

Adaptive Sparse Pairwise Loss for Object Re-Identification

Efficient Neural Network Training via Forward and Backward Propagation Sparsification

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

Neural Global Shutter: Learn To Restore Video From a Rolling Shutter Camera With Global Reset Feature

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation