Zhengqin Xu
18 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Research topics
Deep Learning
(14)
Machine Learning
(14)
Computer Vision
(10)
Artificial Intelligence
(8)
Core AI
(8)
Techniques
(7)
Analysis
(6)
Application Areas
(6)
Learning Types · Deep Learning
(6)
Architectures
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory
(4)
Processing
(4)
Core Methods
(3)
Domain-Specific
(3)
Keywords
transfer learning
(8)
vision-language model
(7)
parameter-efficient fine-tuning
(5)
prompt learning
(4)
foundation model
(4)
domain adaptation
(3)
quaternion network
(3)
singular value decomposition
(3)
segment anything model
(3)
gerschgorin disk theorem
(2)
computer vision
(2)
vision foundation model
(2)
semantic segmentation
(2)
rank estimation
(2)
low-rank matrix recovery
(2)
image segmentation
(2)
matrix completion
(2)
robust principal component analysis
(2)
open-vocabulary semantic segmentation
(2)
multimodal learning
(1)
Papers
CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation
AAAI 2026
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
AAAI 2026
Domain Prompt Learning with Quaternion Networks (Extended Abstract)
IJCAI 2025
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
AAAI 2025
Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
ICLR 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
Robust SAM: On the Adversarial Robustness of Vision Foundation Models
AAAI 2025
Star with Bilinear Mapping
CVPR 2025
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space
CVPR 2025
3D-Aware Face Editing via Warping-Guided Latent Direction Learning
CVPR 2024
Domain-Controlled Prompt Learning
AAAI 2024
Domain Prompt Learning with Quaternion Networks
CVPR 2024
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
AAAI 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
CVPR 2024
Prompt Learning with Quaternion Networks
ICLR 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
AAAI 2024
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
CVPR 2023
Adaptive Rank Estimate in Robust Principal Component Analysis
CVPR 2021