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Yingwen Wu

4 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICLR (2) CVPR (1) NeurIPS (1)

Top co-authors

Xiaolin Huang (4) Sizhe Chen (2) Tao Li (2) Qinghua Tao (2) Zhehao Huang (2) Cihang Xie (1) Xinwen Cheng (1) Kun Fang (1) Ruiji Yu (1) Zhengbao He (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Core AI (3) Deep Learning (2) Learning Types · Machine Learning (2) Optimization & Theory · Machine Learning (2) Application Areas (1) Core Methods (1) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

adversarial attack (2) robust optimization (1) model robustness (1) adversarial training (1) distributed training (1) projected gradient descent (1) training efficiency (1) deep neural network (1) adversarial defense (1) neural collapse (1) out-of-distribution detection (1) weight averaging (1) robust accuracy (1) feature separation (1) catastrophic overfitting (1) pgd attack (1) query attack (1) subspace optimization (1) logits modification (1) historical solution (1)

Papers

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection ICLR 2025 Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions ICLR 2023 Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks NeurIPS 2022 Subspace Adversarial Training CVPR 2022