Jinglin Zhang
11 papers · 2020–2026 · 2 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Renaissance Researcher (5)
π
Century Club Β· Bronze
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Research topics
Deep Learning
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Machine Learning
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Artificial Intelligence
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Computer Vision
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Core AI
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Core Methods
(4)
Learning Types Β· Deep Learning
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Domain-Specific
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Learning Types Β· Machine Learning
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Processing
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Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
federated learning
(2)
tropical cyclone forecasting
(2)
attention mechanism
(2)
image segmentation
(2)
convolutional neural network
(2)
multimodal learning
(2)
feature extraction
(1)
domain adaptation
(1)
zero-shot learning
(1)
nonlinear approximation
(1)
trajectory prediction
(1)
privacy preservation
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neural rendering
(1)
model aggregation
(1)
visual inspection
(1)
saliency detection
(1)
image super-resolution
(1)
remote sensing
(1)
deep learning
(1)
causal discovery
(1)
Papers
ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning
CVPR 2026
Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources
AAAI 2025
MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
CVPR 2025
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting
AAAI 2025
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
AAAI 2025
Federated Causality Learning with Explainable Adaptive Optimization
AAAI 2024
ResDiff: Combining CNN and Diffusion Model for Image Super-resolution
AAAI 2024
Incentive-Boosted Federated Crowdsourcing
AAAI 2023
Long-Tail Cross Modal Hashing
AAAI 2023
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data
AAAI 2023
SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM
AAAI 2020