Xiang Xiang
16 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(14)
Artificial Intelligence
(9)
Deep Learning
(9)
Learning Types Β· Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Application Areas
(6)
Core AI
(6)
Core Methods
(5)
Learning Paradigms
(4)
Computer Vision
(2)
Analysis
(2)
Optimization & Theory
(2)
Architectures
(1)
Models
(1)
Keywords
out-of-distribution detection
(3)
continual learning
(3)
class-incremental learning
(3)
few-shot learning
(2)
domain adaptation
(2)
vision-language model
(2)
catastrophic forgetting
(2)
vision transformer
(1)
hierarchical classification
(1)
representation learning
(1)
sharpness-aware minimization
(1)
prototype learning
(1)
image fusion
(1)
knowledge distillation
(1)
embedding space
(1)
incremental learning
(1)
test-time adaptation
(1)
multi-label classification
(1)
feature learning
(1)
shortcut learning
(1)
Papers
AerialFusion: Co-Motion-Driven Unified Registration and Fusion on Multi-modal Data Streams from Aerial View
AAAI 2026
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability
AAAI 2026
Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition
WACV 2025
Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection
CVPR 2025
PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
ICML 2025
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
CVPR 2024
Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition
WACV 2024
Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning
NAACL 2024
Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning
WACV 2024
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
CVPR 2024
Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection
ECCV 2024
Decoupling MaxLogit for Out-of-Distribution Detection
CVPR 2023
Saliency Regularization for Self-Training with Partial Annotations
ICCV 2023
Coarse-to-Fine Incremental Few-Shot Learning
ECCV 2022
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation
ECCV 2022
Long-Short Graph Memory Network for Skeleton-based Action Recognition
WACV 2020