123 citations · 231 across the 20 of their papers we have counts for
20 papers
Community-Invariant Graph Contrastive Learning
Shiyin Tan, Dongyuan Li, Renhe Jiang +2
Graph augmentation has received great attention in recent years for graph contrastive learning (GCL) to learn well-generalized node/graph representations. However, mainstream GCL m…
Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching
Haiwen Diao, Ying Zhang, Shang Gao +2
Image-text matching remains a challenging task due to heterogeneous semantic diversity across modalities and insufficient distance separability within triplets. Different from prev…
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
Siru Zhong, Xixuan Hao, Yibo Yan +3
Urbanization challenges underscore the necessity for effective satellite image-text retrieval methods to swiftly access specific information enriched with geographic semantics for…
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
Yuren Mao, Xuemei Dong, Wenyi Xu +3
Due to the extraordinarily large number of parameters, fine-tuning Large Language Models (LLMs) to update long-tail or out-of-date knowledge is impractical in lots of applications.…
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
Liangliang Chen, Yutian Lei, Shiyu Jin +2
Reinforcement learning (RL) has demonstrated its capability in solving various tasks but is notorious for its low sample efficiency. In this paper, we propose RLingua, a framework…
A Robust ADMM-Based Optimization Algorithm For Underwater Acoustic Channel Estimation
Tian Tian, Agastya Raj, Bruno Missi Xavier +3
Accurate estimation of the Underwater acoustic (UWA) is a key part of underwater communications, especially for coherent systems. The severe multipath effects and large delay sprea…