Yunyou Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Industry Standard

Mild Cognitive Impairment

Benchmark Suite

Disease Diagnosis

Top Venues

Publications

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
Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models. CoRR (2024)
Jianfeng Zhan, Lei Wang, Wanling Gao, Hongxiao Li, Chenxi Wang, Yunyou Huang, Yatao Li, Zhengxin Yang, Guoxin Kang, Chunjie Luo, Hainan Ye, Shaopeng Dai, Zhifei Zhang
Evaluatology: The Science and Engineering of Evaluation. CoRR (2024)
Wanling Gao, Yuan Liu, Zhuoming Yu, Dandan Cui, 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, Fan Huang, Gangyuan Zhao, Chongrong Jiang, Tianyi Wei, Zhifei Zhang, Yunyou Huang, Jianfeng Zhan
AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database. CoRR (2024)
Zhengxin Yang, Wanling Gao, Luzhou Peng, Yunyou Huang, Fei Tang, Jianfeng Zhan
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture. CoRR (2024)
Xianglong Guan, Li Ma, Yunyou Huang, Suqin Tang, Tinghui Li
An Interpretable Brain Network Atlas-Based Hybrid Model for Mild Cognitive Impairment Progression Prediction. CACML (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
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis. CoRR (2023)
Yunyou Huang, Xianglong Guan, Xiangjiang Lu, Xiaoshuang Liang, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Li Ma, Suqin Tang, Zhifei Zhang, Jianfeng Zhan
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis. CoRR (2023)
Wanling Gao, Lei Wang, Mingyu Chen, Jin Xiong, Chunjie Luo, Wenli Zhang, Yunyou Huang, Weiping Li, Guoxin Kang, Chen Zheng, Biwei Xie, Shaopeng Dai, Qian He, Hainan Ye, Yungang Bao, Jianfeng Zhan
High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer. CoRR (2022)
Nana Wang, Chunjie Luo, Xi Huang, Yunyou Huang, Jianfeng Zhan
DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data. Neurocomputing 472 (2022)
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
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings. CoRR (2021)
Nana Wang, Chunjie Luo, Yunyou Huang, Jianfeng Zhan
Ensemble Clustering-based Cervical Spondylosis Fine-classification. BIBM (2021)
Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, 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, Jiahui Dai, Hainan Ye
AIBench Training: Balanced Industry-Standard AI Training Benchmarking. ISPASS (2021)
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
AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite. CoRR (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, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
AIBench: An Industry Standard AI Benchmark Suite from Internet Services. CoRR (2020)
Yuan Liang, Yange Guo, Yanxia Gong, Chunjie Luo, Jianfeng Zhan, Yunyou Huang
An Isolated Data Island Benchmark Suite for Federated Learning. CoRR (2020)
Zhifei Zhang, Wanling Gao, Fan Zhang, Yunyou Huang, Shaopeng Dai, Fanda Fan, Jianfeng Zhan, Mengjia Du, Silin Yin, Longxin Xiong, Juan Du, Yumei Cheng, Xiexuan Zhou, Rui Ren, Lei Wang, Hainan Ye
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks. CoRR (2019)
Fanda Fan, Yunyou Huang, Lei Wang, Xingwang Xiong, Zihan Jiang, Zhifei Zhang, Jianfeng Zhan
A Semantic-based Medical Image Fusion Approach. CoRR (2019)
Zhifei Zhang, Wanling Gao, Fan Zhang, Yunyou Huang, Shaopeng Dai, Fanda Fan, Jianfeng Zhan, Mengjia Du, Silin Yin, Longxin Xiong, Juan Du, Yumei Cheng, Xiexuan Zhou, Rui Ren, Lei Wang, Hainan Ye
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks. IEEE Access 7 (2019)
Yunyou Huang, Zhifei Zhang, Nana Wang, Nengquan Li, Mengjia Du, Tianshu Hao, Jianfeng Zhan
A new direction to promote the implementation of artificial intelligence in natural clinical settings. CoRR (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
AIBench: An Industry Standard Internet Service AI Benchmark Suite. CoRR (2019)
Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking. CoRR (2019)
Yunyou Huang, Nana Wang, Tianshu Hao, Wanling Gao, Cheng Huang, Jianqing Li, Jianfeng Zhan
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting. CoRR (2019)
Wanling Gao, Chunjie Luo, Lei Wang, Xingwang Xiong, Jianan Chen, Tianshu Hao, Zihan Jiang, Fanda Fan, Mengjia Du, Yunyou Huang, Fan Zhang, Xu Wen, Chen Zheng, Xiwen He, Jiahui Dai, Hainan Ye, Zheng Cao, Zhen Jia, Kent Zhan, Haoning Tang, Daoyi Zheng, Biwei Xie, Wei Li, Xiaoyu Wang, Jianfeng Zhan
AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking. Bench (2018)
Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan
Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking. Bench (2018)
Yunyou Huang, Jianfeng Zhan, Chunjie Luo, Lei Wang, Nana Wang, Daoyi Zheng, Fanda Fan, Rui Ren
A veracity preserving model for synthesizing scalable electricity load profiles. CoRR (2018)
Yunyou Huang, Jianfeng Zhan, Nana Wang, Chunjie Luo, Lei Wang, Rui Ren
Clustering Residential Electricity Load Curves via Community Detection in Network. CoRR (2018)