Ziyang Wu
14 papers · 2019–2025 · 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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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(2)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(64)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
β
The Questioner
(3)
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(9)
Architectures
(6)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Optimization & Theory Β· Machine Learning
(4)
Application Areas
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Techniques
(2)
Computer Vision
(1)
Keywords
representation learning
(6)
token compression
(2)
white-box model
(2)
catastrophic forgetting
(2)
incremental learning
(2)
transformer architecture
(2)
sparse rate reduction
(2)
continual learning
(1)
vision transformer
(1)
image classification
(1)
metric learning
(1)
feature learning
(1)
few-shot learning
(1)
model selection
(1)
embedding learning
(1)
semantic segmentation
(1)
feature extraction
(1)
transfer learning
(1)
zero-shot learning
(1)
variational inference
(1)
Papers
Simplifying DINO via Coding Rate Regularization
ICML 2025
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
ICLR 2025
LLoCO: Learning Long Contexts Offline
EMNLP 2024
Masked Completion via Structured Diffusion with White-Box Transformers
ICLR 2024
When Do We Not Need Larger Vision Models?
ECCV 2024
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
JMLR 2024
Incremental Learning of Structured Memory via Closed-Loop Transcription
ICLR 2023
White-Box Transformers via Sparse Rate Reduction
NeurIPS 2023
Efficient Maximal Coding Rate Reduction by Variational Forms
CVPR 2022
How Low Can We Go: Trading Memory for Error in Low-Precision Training
ICLR 2022
Can We Characterize Tasks Without Labels or Features?
CVPR 2021
Incremental Learning via Rate Reduction
CVPR 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion
AISTATS 2021
PARN: Position-Aware Relation Networks for Few-Shot Learning
ICCV 2019