Cong Bai
8 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(6)
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(5)
Learning Types · Deep Learning
(5)
Computer Vision
(4)
Models
(4)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Architectures
(2)
Domain-Specific
(2)
Processing
(2)
Data Science & Analytics
(1)
Applications
(1)
Keywords
attention mechanism
(2)
multimodal learning
(2)
tropical cyclone forecasting
(2)
remote sensing
(2)
image segmentation
(2)
diffusion model
(2)
nearest neighbor
(1)
domain adaptation
(1)
zero-shot learning
(1)
cross-modal retrieval
(1)
deep learning
(1)
trajectory prediction
(1)
transfer learning
(1)
nearest neighbor search
(1)
ensemble method
(1)
state space model
(1)
weather prediction
(1)
chain-of-thought reasoning
(1)
multimodal dataset
(1)
contrastive learning
(1)
Papers
PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image–Text Retrieval
AAAI 2026
Think, Then Verify: A Hypothesis-Verification Multi-Agent Framework for Long Video Understanding
CVPR 2026
Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources
AAAI 2025
NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
CVPR 2025
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting
AAAI 2025
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
ICML 2025
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
AAAI 2025
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data
AAAI 2023