2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
An Efficient Embedding Based Ad Retrieval with GPU-Powered Feature Interaction
Yifan Lei, Jiahua Luo, Tingyu Jiang +7
In large-scale advertising recommendation systems, retrieval serves as a critical component, aiming to efficiently select a subset of candidate ads relevant to user behaviors from…
cs.CL2024★ 2 cited
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts
Zefang Liu, Jiahua Luo
We introduce AdaMoLE, a novel method for fine-tuning large language models (LLMs) through an Adaptive Mixture of Low-Rank Adaptation (LoRA) Experts. Moving beyond conventional meth…
cs.LG2021
Complexity-Optimized Sparse Bayesian Learning for Scalable Classification Tasks
Jiahua Luo, Chi-Man Wong, Chi-Man Vong
Sparse Bayesian Learning (SBL) constructs an extremely sparse probabilistic model with very competitive generalization. However, SBL needs to invert a big covariance matrix with co…