3 papers
cs.GR2025
CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model
Jinming Lu, Minghao She, Wendong Mao +1
Fine-tuning large diffusion models for custom applications demands substantial power and time, which poses significant challenges for efficient implementation on mobile devices. In…
cs.LG2019
Training Deep Neural Networks Using Posit Number System
Jinming Lu, Siyuan Lu, Zhisheng Wang +4
With the increasing size of Deep Neural Network (DNN) models, the high memory space requirements and computational complexity have become an obstacle for efficient DNN implementati…
eess.SP2019
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding
Siyuan Lu, Jinming Lu, Jun Lin +1
The Connectionist Temporal Classification (CTC) has achieved great success in sequence to sequence analysis tasks such as automatic speech recognition (ASR) and scene text recognit…