activity
20192023
most citedAIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis

Yunyou Huang, Xiaoshuang Liang, Xiangjiang Lu +9

Although Alzheimer's disease (AD) cannot be reversed or cured, timely diagnosis can significantly reduce the burden of treatment and care. Current research on AD diagnosis models u…

cs.PF2023★ 1 cited

WPC: Whole-picture Workload Characterization

Lei Wang, Kaiyong Yang, Chenxi Wang +7

This article raises an important and challenging workload characterization issue: can we uncover each critical component across the stacks contributing what percentages to any spec…

cs.AI2021

OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings

Yunyou Huang, Nana Wang, Suqin Tang +10

This paper quantitatively reveals the state-of-the-art and state-of-the-practice AI systems only achieve acceptable performance on the stringent conditions that all categories of s…

cs.PF2020★ 1 cited

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite

Wanling Gao, Fei Tang, Jianfeng Zhan +31

Domain-specific software and hardware co-design is encouraging as it is much easier to achieve efficiency for fewer tasks. Agile domain-specific benchmarking speeds up the process…

cs.CY2019

Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks

Zhifei Zhang, Wanling Gao, Fan Zhang +13

Big medical data poses great challenges to life scientists, clinicians, computer scientists, and engineers. In this paper, a group of life scientists, clinicians, computer scientis…