activity
20182021
most citedJALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution

163 citations · 164 across the 3 of their papers we have counts for

collaborators

7 papers

cs.MM2021

Multimedia Edge Computing

Zhi Wang, Wenwu Zhu, Lifeng Sun +6

In this paper, we investigate the recent studies on multimedia edge computing, from sensing not only traditional visual/audio data but also individuals' geographical preference and…

cs.CE2020

RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors

Liyao Gao, Yifan Du, Hongshan Li +1

In the recent application of scientific modeling, machine learning models are largely applied to facilitate computational simulations of fluid systems. Rotation symmetry is a gener…

cs.CE2020

An iterative splitting method for pricing European options under the Heston model

Hongshan Li, Zhongyi Huang

In this paper, we propose an iterative splitting method to solve the partial differential equations in option pricing problems. We focus on the Heston stochastic volatility model a…

math.NA20191 cited

Artificial boundary method for the solution of pricing European options under the Heston model

Hongshan Li, Zhongyi Huang

This paper considers the valuation of a European call option under the Heston stochastic volatility model. We present the asymptotic solution to the option pricing problem in power…

cs.MM2019

AdaCompress: Adaptive Compression for Online Computer Vision Services

Hongshan Li, Yu Guo, Zhi Wang +2

With the growth of computer vision based applications and services, an explosive amount of images have been uploaded to cloud servers which host such computer vision algorithms, us…

cs.DC2018163 cited

JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution

Hongshan Li, Chenghao Hu, Jingyan Jiang +3

Recent years have witnessed a rapid growth of deep-network based services and applications. A practical and critical problem thus has emerged: how to effectively deploy the deep ne…