4 citations · 5 across the 5 of their papers we have counts for
5 papers
ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour
Jianhang Xie, Sicheng Tan, Vishnu Naresh Boddeti +1
Fully homomorphic encryption (FHE) lets a server run inference on encrypted data with strong privacy guarantees, but running a Transformer under FHE is expensive. Its non-linear op…
NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN
Jianhang Xie, Chuntao Ding, Xiaqing Li +3
Deploying quantized deep neural network (DNN) models with resource adaptation capabilities on ubiquitous Internet of Things (IoT) devices to provide high-quality AI services can le…
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Chuntao Ding, Xu Cao, Jianhang Xie +3
Efficient fine-tuning of pre-trained convolutional neural network (CNN) models using local data is essential for providing high-quality services to users using ubiquitous and resou…
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Zhichao Lu, Chuntao Ding, Shangguang Wang +3
Deploying high-performance convolutional neural network (CNN) models on low-earth orbit (LEO) satellites for rapid remote sensing image processing has attracted significant interes…
TFormer: A Transmission-Friendly ViT Model for IoT Devices
Zhichao Lu, Chuntao Ding, Felix Juefei-Xu +3
Deploying high-performance vision transformer (ViT) models on ubiquitous Internet of Things (IoT) devices to provide high-quality vision services will revolutionize the way we live…