Kai Yao
8 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Unstoppable · Bronze
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Research topics
Keywords
large language model
(2)
parameter-efficient fine-tuning
(2)
rank compression
(2)
model compression
(2)
style transfer
(1)
knowledge distillation
(1)
data augmentation
(1)
batch normalization
(1)
test-time adaptation
(1)
privacy preservation
(1)
model adaptation
(1)
medical image segmentation
(1)
data selection
(1)
memory optimization
(1)
privacy protection
(1)
domain shift
(1)
sparse tuning
(1)
exponential moving average
(1)
medical image
(1)
gradient preservation
(1)
Papers
GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection
EACL 2026
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
ACL 2025
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
AAAI 2025
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
EMNLP 2024
Unleashing the Power of Prompt-driven Nucleus Instance Segmentation
ECCV 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation
AAAI 2024
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation
AAAI 2023
Outpainting by Queries
ECCV 2022