Letian Zhang
10 papers · 2024–2026 · 4 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
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 💎 Century Club · Bronze ❓ The Questioner
🗃️
Keyword Collector
(54)
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Deep Learning
(7)
Core AI
(6)
Machine Learning
(5)
Learning Types · Deep Learning
(4)
Natural Language Processing
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Resources & Methods
(3)
Application Areas
(2)
Learning Paradigms · Machine Learning
(2)
Computer Vision
(1)
Applications
(1)
Architectures
(1)
Keywords
federated learning
(3)
large language model
(3)
multimodal learning
(3)
vision-language retrieval
(2)
parameter-efficient fine-tuning
(2)
low-rank adaptation
(2)
vision-language model
(2)
multimodal large language model
(2)
prototype learning
(1)
vision-language alignment
(1)
domain adaptation
(1)
feature representation
(1)
collaborative learning
(1)
training efficiency
(1)
contrastive learning
(1)
question answering
(1)
transfer learning
(1)
foundation model
(1)
benchmark dataset
(1)
preference alignment
(1)
Papers
FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA
AAAI 2026
HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment
AAAI 2026
OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning
CVPR 2026
Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval
AAAI 2026
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 2025
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
ICCV 2025
Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis
ICCV 2025
Pre-Trained Vision-Language Models as Noisy Partial Annotators
AAAI 2025
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
NeurIPS 2024
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
CVPR 2024