Yihang Lou
11 papers · 2019–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Deep Learning
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Machine Learning
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Artificial Intelligence
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Computer Vision
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Analysis
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Core AI · Artificial Intelligence
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Core AI · Computer Vision
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Keywords
contrastive learning
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metric learning
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feature alignment
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domain adaptation
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domain generalization
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universal domain adaptation
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representation learning
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feature learning
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vehicle re-identification
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uncertainty quantification
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person re-identification
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neural network
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embedding space
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feature extraction
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catastrophic forgetting
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uncertainty modeling
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continual learning
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test-time adaptation
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chain-of-thought reasoning
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knowledge editing
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Papers
Diagnosing and Repairing Unsafe Channels in Vision-Language Models via Causal Discovery and Dual-Modal Safety Subspace Projection
CVPR 2026
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting
ACL 2026
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
AAAI 2023
Switchable Representation Learning Framework With Self-Compatibility
CVPR 2023
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
AAAI 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation
CVPR 2022
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation
AAAI 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
AAAI 2022
Person30K: A Dual-Meta Generalization Network for Person Re-Identification
CVPR 2021
Disentangled Feature Learning Network for Vehicle Re-Identification
IJCAI 2020
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild
CVPR 2019