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Da-Wei Zhou

21 papers · 2021–2026 · 9 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) πŸ† Grand Slam 🀝 Dynamic Duo (20) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (88)

Venues

CVPR (6) ICML (3) AAAI (2) ICCV (2) ICLR (2) IJCAI (2) NeurIPS (2) ECCV (1) Interspeech (1)

Top co-authors

Han-Jia Ye (20) De-Chuan Zhan (17) Hai-Long Sun (4) Fu-Yun Wang (3) Lan Li (2) Jingyi Ning (2) Lijun Zhang (2) Qi-Wei Wang (2) Bowen Zheng (2) Yi-Kai Zhang (2)

Research topics

Machine Learning (17) Learning Types Β· Machine Learning (13) Artificial Intelligence (8) Deep Learning (8) Application Areas (8) Learning Paradigms (7) Core Methods (6) Learning Types Β· Deep Learning (6) Optimization & Theory (3) Core AI (2) Natural Language Processing (1) Speech & Audio (1) Architectures (1) Recognition (1) Resources & Methods (1)

Keywords

class-incremental learning (11) catastrophic forgetting (7) pre-trained model (6) continual learning (5) representation learning (4) knowledge distillation (3) few-shot learning (2) prototype learning (2) domain incremental learning (2) class imbalance (2) transfer learning (2) model merging (2) vision-language model (2) multimodal learning (1) knowledge transfer (1) multi-task learning (1) embedding learning (1) feature space (1) embedding space (1) model adaptation (1)

Papers

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning AAAI 2026 The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation CVPR 2026 Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts ICML 2025 A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models IJCAI 2025 Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning CVPR 2025 External Knowledge Injection for CLIP-Based Class-Incremental Learning ICCV 2025 Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning ICCV 2025 MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Parrot: Multilingual Visual Instruction Tuning ICML 2025 Task-Agnostic Guided Feature Expansion for Class-Incremental Learning CVPR 2025 Continual Learning with Pre-Trained Models: A Survey IJCAI 2024 Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning CVPR 2024 Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning ICML 2024 Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NeurIPS 2024 A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning ICLR 2023 BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion ICLR 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NeurIPS 2023 Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation Interspeech 2022 Forward Compatible Few-Shot Class-Incremental Learning CVPR 2022 FOSTER: Feature Boosting and Compression for Class-Incremental Learning ECCV 2022 Learning Placeholders for Open-Set Recognition CVPR 2021