Yang Luo
18 papers · 2023–2026 · 10 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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π£ Hot Topic Early Bird π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (43) π Keyword Champion
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(99)
π
Century Club Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(12)
Core AI
(12)
Deep Learning
(8)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(5)
Application Areas
(4)
Computer Science
(3)
Computer Vision
(3)
Natural Language Processing
(3)
Applications
(3)
Core Methods
(2)
Optimization & Theory Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Keywords
multimodal learning
(4)
representation learning
(4)
large language model
(2)
knowledge distillation
(2)
retrieval-augmented generation
(2)
gradient optimization
(2)
convex optimization
(1)
in-context learning
(1)
anomaly detection
(1)
self-supervised learning
(1)
mathematical reasoning
(1)
semi-supervised learning
(1)
prompt engineering
(1)
language model training
(1)
depth estimation
(1)
scene understanding
(1)
code generation
(1)
hierarchical clustering
(1)
fine-grained classification
(1)
variational inequality
(1)
Papers
MajutsuCity: Language-driven Aesthetic-adaptive City Generation with Controllable 3D Assets and Layouts
CVPR 2026
SGS-3D: High-Fidelity 3D Instance Segmentation via Reliable Semantic Mask Splitting and Growing
AAAI 2026
Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions
AISTATS 2025
Boosting Multimodal Learning via Disentangled Gradient Learning
ICCV 2025
Can We Translate Code Better with LLMs and Call Graph Analysis?
IJCAI 2025
Improving Multimodal Learning via Imbalanced Learning
ICCV 2025
Info-Coevolution: An Efficient Framework for Data Model Coevolution
ICML 2025
LPDetective: Dusting the LLM Chats for Prompt Template Abusers
IJCAI 2025
MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation
IJCAI 2025
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
ICML 2025
SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning
ICML 2025
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
EMNLP 2024
Learning to Rank Patches for Unbiased Image Redundancy Reduction
CVPR 2024
Robust Multimodal Learning via Representation Decoupling
ECCV 2024
Scaled Decoupled Distillation
CVPR 2024
CAME: Confidence-guided Adaptive Memory Efficient Optimization
ACL 2023
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning
CVPR 2023
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
NeurIPS 2023