Zhengqin Xu
18 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (5) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (50)
π
Conference Polyglot
(4)
π
Academic Marathon
(5)
π
Renaissance Researcher
(5)
π
Keyword Champion
(2)
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Century Club
(16)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(77)
Conferences
CVPR (8)
AAAI (7)
ICLR (2)
IJCAI (1)
Top co-authors
Keywords
transfer learning
(7)
vision-language model
(6)
domain adaptation
(3)
prompt learning
(3)
foundation model
(3)
segment anything model
(3)
singular value decomposition
(3)
rank estimation
(2)
computer vision
(2)
gerschgorin disk theorem
(2)
vision foundation model
(2)
semantic segmentation
(2)
image segmentation
(2)
parameter-efficient fine-tuning
(2)
robust principal component analysis
(2)
low-rank matrix recovery
(2)
parameter efficient fine-tuning
(2)
matrix completion
(2)
open-vocabulary semantic segmentation
(2)
quaternion network
(2)
Papers
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
AAAI 2026
CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation
AAAI 2026
Star with Bilinear Mapping
CVPR 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 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
Domain Prompt Learning with Quaternion Networks (Extended Abstract)
IJCAI 2025
Robust SAM: On the Adversarial Robustness of Vision Foundation Models
AAAI 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
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
AAAI 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
Domain Prompt Learning with Quaternion Networks
CVPR 2024
Domain-Controlled Prompt Learning
AAAI 2024
Prompt Learning with Quaternion Networks
ICLR 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