3 citations · 6 across the 5 of their papers we have counts for
5 papers
A Diversity-optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection
Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu
Plant diseases pose a significant threat to global agriculture, causing over $220 billion in annual economic losses and jeopardizing food security. The timely and accurate detectio…
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
Hongpeng Jin, Yanzhao Wu
Large Language Models (LLMs) exhibit remarkable human-like predictive capabilities. However, it is challenging to deploy LLMs to provide efficient and adaptive inference services a…
Boosting Deep Ensembles with Learning Rate Tuning
Hongpeng Jin, Yanzhao Wu
The Learning Rate (LR) has a high impact on deep learning training performance. A common practice is to train a Deep Neural Network (DNN) multiple times with different LR policies…
DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models
Maryam Akhavan Aghdam, Hongpeng Jin, Yanzhao Wu
Transformer-based Mixture-of-Experts (MoE) models have been driving several recent technological advancements in Natural Language Processing (NLP). These MoE models adopt a router…
Rethinking Learning Rate Tuning in the Era of Large Language Models
Hongpeng Jin, Wenqi Wei, Xuyu Wang +2
Large Language Models (LLMs) represent the recent success of deep learning in achieving remarkable human-like predictive performance. It has become a mainstream strategy to leverag…