Yongyi Su
8 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π Cross-Pollinator (15)
π₯
Unstoppable
(5)
Conferences
AAAI (3)
ICLR (2)
CVPR (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
domain adaptation
(3)
distribution shift
(2)
foundation model
(2)
domain generalization
(2)
test-time training
(2)
depth estimation
(1)
test-time adaptation
(1)
class imbalance
(1)
out-of-distribution detection
(1)
multimodal large language model
(1)
pseudo label
(1)
segment anything
(1)
group relative policy optimization
(1)
segmentation model
(1)
multi-stage reasoning
(1)
continual domain shift
(1)
pseudo label filtering
(1)
prototype expansion
(1)
balanced normalization
(1)
anchored clustering
(1)
Papers
Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
AAAI 2026
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
AAAI 2026
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
ICLR 2025
Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
ICLR 2025
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
AAAI 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
CVPR 2024
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
ICCV 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
NIPS 2022