Linglan Zhao

5 papers · 2021–2026 · 4 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 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (15)

Venues

CVPR (2) ICML (1) NeurIPS (1) WACV (1)

Top co-authors

Xiangzhong Fang (3) Weiran Huang (2) Dashan Guo (2) Xuerui Zhang (2) Yu Zhang (1) Ge Liu (1) Zhan Zhuang (1) Yi Niu (1) Zhongqiang Zhang (1) Zhihuan Song (1)

Research topics

Artificial Intelligence (4) Deep Learning (4) Machine Learning (4) Learning Paradigms (4) Learning Types · Deep Learning (3) Application Areas (2) Core Methods (2) Learning Types · Machine Learning (2) Techniques (1)

Keywords

catastrophic forgetting (3) knowledge distillation (2) continual learning (1) metric learning (1) feature learning (1) few-shot learning (1) class-incremental learning (1) feature representation (1) nearest neighbor (1) lifelong learning (1) pre-trained model (1) parameter-efficient tuning (1) dense prediction (1) soft label (1) generalized category discovery (1) few-shot classification (1) few-shot class-incremental learning (1) bilinear pooling (1) heterogeneous task (1) bilateral distillation (1)

Papers

HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning CVPR 2026 Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization ICML 2025 SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models NeurIPS 2024 Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation CVPR 2023 Class-Wise Metric Scaling for Improved Few-Shot Classification WACV 2021