research
∙
05/22/2023
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference
In the rapidly evolving field of deep learning, the performance of model...
share
research
∙
03/09/2023
Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version
Quantization is a popular technique used in Deep Neural Networks (DNN) i...
research
∙
05/17/2022
On Semiparametric Efficiency of an Emerging Class of Regression Models for Between-subject Attributes
The semiparametric regression models have attracted increasing attention...
research
∙
03/04/2021
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
Recent years have witnessed significant progress in 3D hand mesh recover...
research
∙
10/13/2019
Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method
It is well established that temporal organization is critical to memory,...
research
∙
10/13/2019
Deep Markov Chain Monte Carlo
We propose a new computationally efficient sampling scheme for Bayesian ...
research
∙
08/21/2019
Differentiated context-aware hook placement for different owners' smartphones
A hook is a piece of code. It checks user privacy policy before some sen...
research
∙
10/12/2017
