Letian Zhang
9 papers · 2024–2026 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (31) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (10)
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(50)
β
The Questioner
Conferences
AAAI (5)
ICCV (2)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
federated learning
(3)
multimodal large language model
(2)
low-rank adaptation
(2)
vision-language model
(2)
vision-language retrieval
(2)
parameter-efficient fine-tuning
(2)
prototype learning
(1)
domain adaptation
(1)
contrastive learning
(1)
vision-language alignment
(1)
multi-modal learning
(1)
feature representation
(1)
collaborative learning
(1)
multimodal 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
Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval
AAAI 2026
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
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 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
NIPS 2024
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
CVPR 2024