Ziming Liu
20 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (6) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (11) ๐งญ Keyword Pioneer ๐ Cross-Pollinator (14)
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(20)
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Prolific Year
(10)
Conferences
NIPS (7)
ICML (4)
AAAI (3)
ICLR (3)
CVPR (2)
IJCAI (1)
Top co-authors
Keywords
zero-shot learning
(4)
diffusion model
(3)
visual-semantic mapping
(3)
compositional zero-shot learning
(2)
representation learning
(2)
multi-label learning
(2)
ordinary differential equation
(2)
generative model
(2)
poisson flow
(2)
network architecture
(1)
test-time adaptation
(1)
in-context learning
(1)
text-to-image generation
(1)
model aggregation
(1)
image generation
(1)
embedding learning
(1)
fine-grained recognition
(1)
feature learning
(1)
low-rank constraint
(1)
communication efficiency
(1)
Papers
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
ICML 2025
KAN: KolmogorovโArnold Networks
ICLR 2025
On the expressiveness and spectral bias of KANs
ICLR 2025
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
AAAI 2025
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
ICML 2024
How Diffusion Models Learn to Factorize and Compose
NIPS 2024
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
IJCAI 2024
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
AAAI 2024
Anchor Sampling for Federated Learning with Partial Client Participation
ICML 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
ICML 2023
(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
CVPR 2023
Towards Test-Time Refusals via Concept Negation
NIPS 2023
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
NIPS 2023
The Quantization Model of Neural Scaling
NIPS 2023
Restart Sampling for Improving Generative Processes
NIPS 2023
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
AAAI 2023
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
CVPR 2023
Omnigrok: Grokking Beyond Algorithmic Data
ICLR 2023
Poisson Flow Generative Models
NIPS 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning
NIPS 2022