Xiaocheng Lu
9 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(25)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(3)
Top co-authors
Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(4)
Learning Paradigms · Artificial Intelligence
(4)
Application Areas
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Architectures
(2)
Core Methods
(2)
Natural Language Processing
(1)
Learning Paradigms · Machine Learning
(1)
Resources & Methods
(1)
Keywords
zero-shot learning
(5)
visual-semantic mapping
(3)
vision-language model
(2)
transfer learning
(2)
compositional zero-shot learning
(2)
graph neural network
(2)
multi-label learning
(2)
out-of-distribution generalization
(1)
knowledge distillation
(1)
domain generalization
(1)
attention mechanism
(1)
distributed learning
(1)
embedding learning
(1)
visual attention
(1)
network architecture
(1)
semantic embedding
(1)
fine-grained recognition
(1)
low-rank constraint
(1)
soft prompt
(1)
domain adaptation
(1)
Papers
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
AAAI 2025
HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models
EMNLP 2025
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
CVPR 2024
Dual Expert Distillation Network for Generalized Zero-Shot Learning
IJCAI 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
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
CVPR 2023
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
AAAI 2023
(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
CVPR 2023