Weilong Peng
10 papers · 2017–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Learning Types · Machine Learning
(5)
Computer Vision
(4)
Analysis
(4)
Application Areas
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Processing
(3)
Optimization & Theory
(2)
Architectures
(1)
Core Methods
(1)
Generation
(1)
Models
(1)
Keywords
adversarial attack
(4)
point cloud
(4)
out-of-distribution detection
(3)
manifold constraint
(2)
3d vision
(2)
imperceptible attack
(2)
knowledge distillation
(2)
distribution shift
(1)
vision-language model
(1)
prompt learning
(1)
confidence estimation
(1)
shape optimization
(1)
adversarial example
(1)
end-to-end training
(1)
generative adversarial network
(1)
3d point cloud
(1)
ood detection
(1)
geometric distortion
(1)
convolutional neural network
(1)
unsupervised domain adaptation
(1)
Papers
End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models
AAAI 2026
Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks
AAAI 2026
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
AAAI 2025
Simplification Is All You Need against Out-of-Distribution Overconfidence
CVPR 2025
CORES: Convolutional Response-based Score for Out-of-distribution Detection
CVPR 2024
FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds
ECCV 2024
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds
AAAI 2024
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching
AAAI 2023
CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue
ICCV 2021
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace
CVPR 2017