Shuaicheng Niu
18 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8) π Academic Marathon (5)
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Taxonomy Completionist
(28)
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Conference Polyglot
(8)
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Triple Crown
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Grand Slam
π₯
Unstoppable
(5)
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Century Club
(17)
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Prolific Year
(6)
ποΈ
Keyword Collector
(59)
Conferences
ICML (5)
ICLR (3)
AAAI (2)
CVPR (2)
ECCV (2)
NIPS (2)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
test-time adaptation
(4)
domain adaptation
(3)
diffusion model
(2)
3d object detection
(2)
domain generalization
(1)
autonomous driving
(1)
catastrophic forgetting
(1)
self-supervised learning
(1)
online learning
(1)
knowledge distillation
(1)
source-free domain adaptation
(1)
image captioning
(1)
entropy minimization
(1)
face recognition
(1)
visual reasoning
(1)
image restoration
(1)
pseudo labeling
(1)
text-to-image generation
(1)
deepfake detection
(1)
few-shot learning
(1)
Papers
DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving
AAAI 2026
Self-Bootstrapping for Versatile Test-Time Adaptation
ICML 2025
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
ICLR 2025
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping
ICCV 2025
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation
CVPR 2025
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
ICML 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
AAAI 2025
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
ICLR 2024
Cross-Device Collaborative Test-Time Adaptation
NIPS 2024
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection
ECCV 2024
Test-Time Model Adaptation with Only Forward Passes
ICML 2024
Towards Stable Test-time Adaptation in Dynamic Wild World
ICLR 2023
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
NIPS 2023
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
ECCV 2022
Efficient Test-Time Model Adaptation without Forgetting
ICML 2022
Towards Accurate Text-Based Image Captioning With Content Diversity Exploration
CVPR 2021
AdaXpert: Adapting Neural Architecture for Growing Data
ICML 2021
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
IJCAI 2021