Da-Wei Zhou
20 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge
🌍
Conference Polyglot
(9)
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(18)
🏆
Grand Slam
🔥
Unstoppable
(5)
💎
Century Club
(19)
🗃️
Keyword Collector
(66)
⚡
Prolific Year
(8)
Conferences
CVPR (5)
ICML (3)
AAAI (2)
ICCV (2)
ICLR (2)
IJCAI (2)
NIPS (2)
ECCV (1)
INTERSPEECH (1)
Top co-authors
Keywords
class-incremental learning
(7)
pre-trained model
(5)
catastrophic forgetting
(5)
continual learning
(4)
knowledge distillation
(3)
representation learning
(3)
class incremental learning
(3)
few-shot learning
(2)
prototype learning
(2)
transfer learning
(2)
vision-language model
(2)
model merging
(2)
multi-modal learning
(1)
knowledge transfer
(1)
multi-task learning
(1)
embedding learning
(1)
feature space
(1)
embedding space
(1)
class imbalance
(1)
model adaptation
(1)
Papers
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
AAAI 2026
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
External Knowledge Injection for CLIP-Based Class-Incremental Learning
ICCV 2025
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
CVPR 2025
Task-Agnostic Guided Feature Expansion for Class-Incremental Learning
CVPR 2025
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
ICCV 2025
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
ICML 2025
Parrot: Multilingual Visual Instruction Tuning
ICML 2025
A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
IJCAI 2025
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
ICML 2024
Continual Learning with Pre-Trained Models: A Survey
IJCAI 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
NIPS 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
CVPR 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
NIPS 2023
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
ECCV 2022
Forward Compatible Few-Shot Class-Incremental Learning
CVPR 2022
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation
INTERSPEECH 2022
Learning Placeholders for Open-Set Recognition
CVPR 2021