Fang Dong
7 papers · 2020–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(26)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Core AI
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Generation
(1)
Keywords
contrastive learning
(2)
few-shot action recognition
(2)
representation learning
(1)
domain adaptation
(1)
reinforcement learning
(1)
few-shot learning
(1)
temporal modeling
(1)
sublinear regret
(1)
recommendation system
(1)
message passing
(1)
reward prediction
(1)
temporal alignment
(1)
fraud detection
(1)
state space model
(1)
contextual bandit
(1)
action recognition
(1)
language model
(1)
communication compression
(1)
neural tangent kernel
(1)
time-varying systems
(1)
Papers
OS-Fed: One Snapshot Is All You Need
CVPR 2026
Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
AAAI 2026
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
AAAI 2025
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
ICML 2025
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
AAAI 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
NeurIPS 2024
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
AAAI 2020