Min Wu

papers

486

total citations

papers (16)

TSLANet: Rethinking Transformers for Time Series Representation Learning

ICML 2024arXiv

127

citations

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

AAAI 2024arXiv

104

citations

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition

ECCV 2022arXiv

citations

Graph-Aware Contrasting for Multivariate Time-Series Classification

AAAI 2024arXiv

citations

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization

CVPR 2021arXiv

citations

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions

NEURIPS 2023arXiv

citations

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks

ICCV 2023arXiv

citations

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

ICML 2024arXiv

citations

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation

ICCV 2023arXiv

citations

Estimating Propensity for Causality-based Recommendation without Exposure Data

NEURIPS 2023arXiv

citations

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data

ICML 2024arXiv

citations

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

AAAI 2025arXiv

citations

RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis

CVPR 2023

citations

Min Wu

papers (16)

TSLANet: Rethinking Transformers for Time Series Representation Learning

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition

Graph-Aware Contrasting for Multivariate Time-Series Classification

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions

Robustness Guarantees for Deep Neural Networks on Videos

VeriX: Towards Verified Explainability of Deep Neural Networks

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation

Estimating Propensity for Causality-based Recommendation without Exposure Data

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis

papers (16)

TSLANet: Rethinking Transformers for Time Series Representation Learning

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition

Graph-Aware Contrasting for Multivariate Time-Series Classification

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions

Robustness Guarantees for Deep Neural Networks on Videos

VeriX: Towards Verified Explainability of Deep Neural Networks

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation

Estimating Propensity for Causality-based Recommendation without Exposure Data

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis