Wenhai Wan

5 papers · 2023–2026 · 2 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20)

Venues

AAAI (3) NeurIPS (2)

Top co-authors

Shao-Yuan Li (5) Songcan Chen (5) Jinpeng Zheng (2) Zijian Tao (2) Xinrui Wang (2) Chuanxing Geng (2) Sheng-jun Huang (2) Gan Xu (1) Jia-Yao Chen (1) Kangkan Wang (1)

Research topics

Machine Learning (5) Learning Types · Machine Learning (4) Deep Learning (3) Core Methods (3) Learning Types · Deep Learning (3) Artificial Intelligence (2) Optimization & Theory (2) Computer Vision (1) Analysis (1) Application Areas (1) Architectures (1) Core AI (1) Learning Paradigms (1)

Keywords

class imbalance (2) representation learning (1) contrastive learning (1) continual learning (1) catastrophic forgetting (1) feature learning (1) online learning (1) probabilistic modeling (1) model calibration (1) noisy label learning (1) knowledge distillation (1) multi-label classification (1) feature representation (1) label noise (1) neural collapse (1) pre-trained model (1) open-set learning (1) imbalanced classification (1) pre-trained language model (1) long-tailed distribution (1)

Papers

HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition AAAI 2026 MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse AAAI 2025 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024 Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023