Can Cui
15 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.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π₯ Mega-Team Β· Squad
π§¬
Topic Evolution
ποΈ
Keyword Collector
(83)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Deep Learning
(8)
Core AI
(8)
Computer Vision
(7)
Machine Learning
(7)
Domain-Specific
(7)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Architectures
(3)
Analysis
(2)
Core Methods
(2)
Learning Paradigms
(2)
Models
(2)
Optimization & Theory
(2)
Keywords
autonomous driving
(6)
vision-language model
(2)
autonomous vehicle
(2)
question answering
(2)
multimodal learning
(2)
neural network
(2)
domain adaptation
(1)
variational inference
(1)
reinforcement learning
(1)
self-supervised learning
(1)
medical imaging
(1)
graph representation learning
(1)
uncertainty quantification
(1)
semantic segmentation
(1)
trajectory prediction
(1)
scene understanding
(1)
code generation
(1)
policy learning
(1)
bird's eye view
(1)
bayesian inference
(1)
Papers
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
AAAI 2026
DASR: Distributed Adaptive Scene Recognition - A Multi-Agent Cloud-Edge Framework for Language-Guided Scene Detection
EMNLP 2025
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
ICCV 2025
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis
MICCAI 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
CVPR 2024
Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models
EMNLP 2024
MACP: Efficient Model Adaptation for Cooperative Perception
WACV 2024
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
CVPR 2024
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation
CVPR 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
CVPR 2024
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis
MIDL 2023
Learned Simulators for Turbulence
ICLR 2022
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation
MIDL 2022
Adaptive Knowledge Driven Regularization for Deep Neural Networks
AAAI 2021