Yuxiang Lu
10 papers · 2020–2026 · 7 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 (32)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Artificial Intelligence
(5)
Deep Learning
(5)
Computer Vision
(4)
Core AI
(4)
Machine Learning
(3)
Models
(3)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Domain-Specific
(2)
Generation
(2)
Learning Types
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Keywords
generative model
(2)
multi-task learning
(2)
knowledge distillation
(2)
in-context learning
(1)
natural language understanding
(1)
instruction tuning
(1)
video generation
(1)
autonomous driving
(1)
text-to-image generation
(1)
model merging
(1)
explanation generation
(1)
model aggregation
(1)
robotic manipulation
(1)
knowledge graph
(1)
representation learning
(1)
diffusion model
(1)
variational autoencoder
(1)
language model
(1)
personalized model
(1)
federated learning
(1)
Papers
GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation
CVPR 2026
Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System
ACL 2026
RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation
ACL 2026
BECAME: Bayesian Continual Learning with Adaptive Model Merging
ICML 2025
Discretized Gaussian Representation for Tomographic Reconstruction
ICCV 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
ICLR 2025
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning
CVPR 2024
Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition
EMNLP 2023
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts
CVPR 2023
PGL at TextGraphs 2020 Shared Task: Explanation Regeneration using Language and Graph Learning Methods
COLING 2020