2 citations · 3 across the 5 of their papers we have counts for
5 papers
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
Mengzhao Wang, Haotian Wu, Xiangyu Ke +3
Retrieval-augmented Large Language Models (LLMs) have reshaped traditional query-answering systems, offering unparalleled user experiences. However, existing retrieval techniques o…
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Haotian Wu, Maojun Zhang, Yulin Shao +2
Acquiring and utilizing accurate channel state information (CSI) can significantly improve transmission performance, thereby holding a crucial role in realizing the potential advan…
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation
Yubo Gao, Haotian Wu
knowledge graph-based recommendation methods have achieved great success in the field of recommender systems. However, over-reliance on high-quality knowledge graphs is a bottlenec…
Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference
Haotian Wu, Nitish Mital, Krystian Mikolajczyk +1
We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object, which are then used jointly to retrieve simi…
Collaborative Semantic Communication for Edge Inference
Wing Fei Lo, Nitish Mital, Haotian Wu +1
We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object from different angles and locations, which ar…