Xiaoshan Yang
13 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (12) π Conference Polyglot (5) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (30)
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Cross-Pollinator
(12)
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(12)
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Keyword Collector
(68)
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Century Club
(13)
Conferences
CVPR (5)
AAAI (4)
NIPS (2)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
multimodal learning
(3)
graph neural network
(3)
few-shot learning
(3)
action recognition
(2)
federated learning
(2)
multimodal reasoning
(2)
video understanding
(2)
object detection
(2)
domain adaptation
(1)
attention mechanism
(1)
temporal modeling
(1)
knowledge distillation
(1)
temporal reasoning
(1)
representation learning
(1)
class-incremental learning
(1)
open-vocabulary detection
(1)
multi-modal learning
(1)
test-time adaptation
(1)
cross-modal learning
(1)
human activity recognition
(1)
Papers
Graph Prompts: Adapting Video Graph for Video Question Answering
IJCAI 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
AAAI 2025
Pilot: Building the Federated Multimodal Instruction Tuning Framework
AAAI 2025
Modality-Collaborative Test-Time Adaptation for Action Recognition
CVPR 2024
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling
NIPS 2024
Libra: Building Decoupled Vision System on Large Language Models
ICML 2024
Multi-modal Queried Object Detection in the Wild
NIPS 2023
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
CVPR 2023
Dynamic Scene Graph Generation via Anticipatory Pre-Training
CVPR 2022
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning
AAAI 2022
Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding
CVPR 2022
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning
CVPR 2021
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
AAAI 2020