Xingyu Zhu
16 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (39)
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Grand Slam
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Keyword Champion
(2)
ποΈ
Keyword Collector
(82)
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Century Club Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(8)
Computer Vision
(5)
Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Learning Paradigms
(4)
Natural Language Processing
(2)
Security & Privacy
(2)
Analysis
(2)
Architectures
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Keywords
vision-language model
(4)
mesh watermarking
(3)
attention mechanism
(2)
watermark embedding
(2)
copyright protection
(2)
multimodal learning
(2)
test-time adaptation
(2)
few-shot learning
(2)
robotic manipulation
(1)
false discovery rate
(1)
sample efficiency
(1)
in-context learning
(1)
named entity recognition
(1)
optimal transport
(1)
deep learning
(1)
prototype learning
(1)
prompt learning
(1)
semantic representation
(1)
manifold regularization
(1)
point cloud analysis
(1)
Papers
Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning
CVPR 2026
Effective Robotic Cloth Grasping Through Suppressing False Discoveries
AAAI 2026
Hierarchical Semantic Alignment for Image Clustering
AAAI 2026
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
ACL 2026
Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models
CVPR 2026
Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input
AAAI 2026
SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition
EACL 2026
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
AAAI 2025
Dynamic Multimodal Prototype Learning in Vision-Language Models
ICCV 2025
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
AAAI 2025
On the Power of Context-Enhanced Learning in LLMs
ICML 2025
Boosting Few-Shot Learning via Attentive Feature Regularization
AAAI 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
NeurIPS 2024
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
AAAI 2024
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
ICLR 2023
YNU-HPCC at SemEval-2021 Task 6: Combining ALBERT and Text-CNN for Persuasion Detection in Texts and Images
SemEval 2021