Xingxuan Zhang

papers

628

total citations

papers (12)

Deep Stable Learning for Out-of-Distribution Generalization

CVPR 2021arXiv

312

citations

NICO++: Towards Better Benchmarking for Domain Generalization

CVPR 2023arXiv

102

citations

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization

CVPR 2023arXiv

citations

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

ICLR 2025arXiv

citations

On the Out-Of-Distribution Generalization of Large Multimodal Models

CVPR 2025

citations

Product Ranking for Revenue Maximization with Multiple Purchases

NEURIPS 2022arXiv

citations

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction

ICCV 2025arXiv

citations

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts

CVPR 2025arXiv

citations

Xingxuan Zhang

papers (12)

Deep Stable Learning for Out-of-Distribution Generalization

NICO++: Towards Better Benchmarking for Domain Generalization

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization

Towards Unsupervised Domain Generalization

Flatness-Aware Minimization for Domain Generalization

Adversarial Eigen Attack on Black-Box Models

Rethinking the Evaluation Protocol of Domain Generalization

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

On the Out-Of-Distribution Generalization of Large Multimodal Models

Product Ranking for Revenue Maximization with Multiple Purchases

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts

papers (12)

Deep Stable Learning for Out-of-Distribution Generalization

NICO++: Towards Better Benchmarking for Domain Generalization

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization

Towards Unsupervised Domain Generalization

Flatness-Aware Minimization for Domain Generalization

Adversarial Eigen Attack on Black-Box Models

Rethinking the Evaluation Protocol of Domain Generalization

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

On the Out-Of-Distribution Generalization of Large Multimodal Models

Product Ranking for Revenue Maximization with Multiple Purchases

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts