Shuaicheng Niu
19 papers · 2021–2026 · 8 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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Research topics
Deep Learning
(12)
Machine Learning
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Application Areas
(10)
Learning Types Β· Deep Learning
(8)
Artificial Intelligence
(7)
Learning Types Β· Machine Learning
(7)
Computer Vision
(5)
Core AI
(5)
Learning Paradigms Β· Artificial Intelligence
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Analysis
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Models
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Learning Paradigms Β· Machine Learning
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Keywords
test-time adaptation
(6)
domain adaptation
(4)
knowledge distillation
(2)
model adaptation
(2)
distribution shift
(2)
online learning
(2)
diffusion model
(2)
3d object detection
(2)
entropy minimization
(2)
domain generalization
(1)
self-supervised learning
(1)
continual learning
(1)
batch normalization
(1)
source-free domain adaptation
(1)
prototype learning
(1)
few-shot learning
(1)
face recognition
(1)
autonomous driving
(1)
image restoration
(1)
image captioning
(1)
Papers
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
CVPR 2026
DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving
AAAI 2026
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
ICML 2025
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation
CVPR 2025
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
ICLR 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
AAAI 2025
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping
ICCV 2025
Self-Bootstrapping for Versatile Test-Time Adaptation
ICML 2025
Cross-Device Collaborative Test-Time Adaptation
NeurIPS 2024
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection
ECCV 2024
Test-Time Model Adaptation with Only Forward Passes
ICML 2024
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
ICLR 2024
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
NeurIPS 2023
Towards Stable Test-time Adaptation in Dynamic Wild World
ICLR 2023
Efficient Test-Time Model Adaptation without Forgetting
ICML 2022
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
ECCV 2022
AdaXpert: Adapting Neural Architecture for Growing Data
ICML 2021
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
IJCAI 2021
Towards Accurate Text-Based Image Captioning With Content Diversity Exploration
CVPR 2021