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Xiaocheng Lu

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
(ML)2P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
Graph Knows Unknowns: Reformulate Zero-shot Learning as Sample-level Graph Recognition

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