1 code implementation • 11 Jul 2024 • Wanling Gao, Yunyou Huang, Dandan Cui, Zhuoming Yu, Wenjing Liu, Xiaoshuang Liang, Jiahui Zhao, Jiyue Xie, Hao Li, Li Ma, Ning Ye, Yumiao Kang, Dingfeng Luo, Peng Pan, Wei Huang, Zhongmou Liu, Jizhong Hu, Gangyuan Zhao, Chongrong Jiang, Fan Huang, Tianyi Wei, Suqin Tang, Bingjie Xia, Zhifei Zhang, Jianfeng Zhan
We envision DC-AI RCTs and VC-MedAI as pivotal advancements, presenting innovative and transformative evaluation methodologies for AI models in clinical practice, offering a preclinical-like setting mirroring conventional medicine, and reshaping development paradigms in a cost-effective and fast-iterative manner.
1 code implementation • 20 Jun 2024 • Zhengxin Yang, Wanling Gao, Luzhou Peng, Yunyou Huang, Fei Tang, Jianfeng Zhan
Designing and optimizing neural network architectures typically requires extensive expertise, starting with handcrafted designs and then manual or automated refinement.
no code implementations • 3 Jul 2023 • Yunyou Huang, Xiaoshuang Liang, Xiangjiang Lu, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Fan Zhang, Guoxin Kang, Li Ma, Suqin Tang, Zhifei Zhang, Jianfeng Zhan
Thus, the AD diagnosis task is tangled and coupled with the diagnosis strategy formulation.
no code implementations • 3 Jul 2023 • Yunyou Huang, Xianglong Guan, Xiangjiang Lu, Xiaoshuang Liang, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Li Ma, Suqin Tang, Zhifei Zhang, Jianfeng Zhan
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will significantly benefit patients' medical treatment and care.
no code implementations • 9 Sep 2021 • Yunyou Huang, Nana Wang, Suqin Tang, Li Ma, Tianshu Hao, Zihan Jiang, Fan Zhang, Guoxin Kang, Xiuxia Miao, Xianglong Guan, Ruchang Zhang, Zhifei Zhang, Jianfeng Zhan
In the real-world clinical setting, OpenClinicalAI significantly outperforms the state-of-the-art AI system.
no code implementations • 17 Aug 2020 • Yuan Liang, Yange Guo, Yanxia Gong, Chunjie Luo, Jianfeng Zhan, Yunyou Huang
The goal is to build a machine learning model from the data sets distributed on multiple devices so-called an isolated data island, while keeping their data secure and private.
no code implementations • 30 Apr 2020 • Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Jiahui Dai, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
We use real-world benchmarks to cover the factors space that impacts the learning dynamics to the most considerable extent.
no code implementations • 17 Feb 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
An end-to-end benchmark is a distillation of the essential attributes of an industry-scale application.
no code implementations • 13 Aug 2019 • Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
On the basis of the AIBench framework, abstracting the real-world data sets and workloads from one of the top e-commerce providers, we design and implement the first end-to-end Internet service AI benchmark, which contains the primary modules in the critical paths of an industry scale application and is scalable to deploy on different cluster scales.
no code implementations • 6 Aug 2019 • Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan
In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues.
Performance Distributed, Parallel, and Cluster Computing
no code implementations • 1 Aug 2019 • Yunyou Huang, Nana Wang, Wanling Gao, Xiaoxu Guo, Cheng Huang, Tianshu Hao, Jianfeng Zhan
As a consequence, the deep learning methods are difficult to be popularized and applied in the real smart grid environment.
no code implementations • 1 Jun 2019 • Fanda Fan, Yunyou Huang, Lei Wang, Xingwang Xiong, Zihan Jiang, Zhifei Zhang, Jianfeng Zhan
Medical image fusion is a promising approach to providing overall information from medical images of different modalities.
no code implementations • 8 May 2019 • Yunyou Huang, Zhifei Zhang, Nana Wang, Nengquan Li, Mengjia Du, Tianshu Hao, Jianfeng Zhan
Artificial intelligence (AI) researchers claim that they have made great `achievements' in clinical realms.