Wenjun Miao

6 papers · 2024–2026 · 5 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 · Silver 🗺️ Taxonomy Completionist (15)

Venues

AAAI (2) CVPR (1) ICCV (1) ICML (1) NeurIPS (1)

Top co-authors

Xiao Bai (5) Guansong Pang (5) Jin Zheng (5) Zihan Wang (2) Tianqi Li (2) Shenghao Liu (1) Bin Yuan (1) Xianjun Deng (1) Jing Wang (1) Bing Liu (1)

Research topics

Machine Learning (6) Artificial Intelligence (3) Application Areas (3) Learning Types · Machine Learning (3) Deep Learning (2) Core Methods (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Core AI (1) Optimization & Theory (1)

Keywords

out-of-distribution detection (4) class imbalance (3) long-tailed recognition (2) zero-shot learning (1) adversarial learning (1) few-shot learning (1) transfer learning (1) data augmentation (1) fairness (1) prompt learning (1) false positive rate (1) backdoor attack (1) pseudo label (1) large vision-language model (1) prompt tuning (1) quantization-aware training (1) logit calibration (1) open-vocabulary learning (1) negative prompt (1) transferable learning (1)

Papers

MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models AAAI 2026 Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection ICCV 2025 Understanding the Unfairness in Network Quantization ICML 2025 Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024 Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation NeurIPS 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024