AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking. - Wanling Gao; Chunjie Luo; Lei Wang 004; Xingwang Xiong; Jianan Chen 003; Tianshu Hao; Zihan Jiang; Fanda Fan; Mengjia Du; Yunyou Huang; Fan Zhang 047; Xu Wen; et al. (Bench, 2018)

Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking. - Tianshu Hao; Yunyou Huang; Xu Wen; Wanling Gao; Fan Zhang 047; Chen Zheng 001; Lei Wang 004; Hainan Ye; Kai Hwang 001; Zujie Ren; Jianfeng Zhan (Bench, 2018)

A veracity preserving model for synthesizing scalable electricity load profiles. - Yunyou Huang; Jianfeng Zhan; Chunjie Luo; Lei Wang 004; Nana Wang 001; Daoyi Zheng; Fanda Fan; Rui Ren (CoRR, 2018)

Clustering Residential Electricity Load Curves via Community Detection in Network. - Yunyou Huang; Jianfeng Zhan; Nana Wang 001; Chunjie Luo; Lei Wang 004; Rui Ren (CoRR, 2018)

Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks. - Zhifei Zhang; Wanling Gao; Fan Zhang 047; Yunyou Huang; Shaopeng Dai; Fanda Fan; Jianfeng Zhan; Mengjia Du; Silin Yin; Longxin Xiong; Juan Du; Yumei Cheng; et al. (IEEE Access, 2019)

A new direction to promote the implementation of artificial intelligence in natural clinical settings. - Yunyou Huang; Zhifei Zhang; Nana Wang 001; Nengquan Li; Mengjia Du; Tianshu Hao; Jianfeng Zhan (CoRR, 2019)

A Semantic-based Medical Image Fusion Approach. - Fanda Fan; Yunyou Huang; Lei Wang 004; Xingwang Xiong; Zihan Jiang; Zhifei Zhang; Jianfeng Zhan (CoRR, 2019)

LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting. - Yunyou Huang; Nana Wang 001; Tianshu Hao; Wanling Gao; Cheng Huang; Jianqing Li; Jianfeng Zhan (CoRR, 2019)

AIBench: An Industry Standard Internet Service AI Benchmark Suite. - Wanling Gao; Fei Tang; Lei Wang 004; Jianfeng Zhan; Chunxin Lan; Chunjie Luo; Yunyou Huang; Chen Zheng 001; Jiahui Dai; Zheng Cao; Daoyi Zheng; Haoning Tang; et al. (CoRR, 2019)

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite. - Wanling Gao; Fei Tang; Jianfeng Zhan; Chuanxin Lan; Chunjie Luo; Lei Wang 004; Jiahui Dai; Zheng Cao; Xiongwang Xiong; Zihan Jiang; Tianshu Hao; Fanda Fan; et al. (CoRR, 2020)

AIBench: An Industry Standard AI Benchmark Suite from Internet Services. - Fei Tang; Wanling Gao; Jianfeng Zhan; Chuanxin Lan; Xu Wen; Lei Wang 004; Chunjie Luo; Jiahui Dai; Zheng Cao; Xingwang Xiong; Zihan Jiang; Tianshu Hao; et al. (CoRR, 2020)

An Isolated Data Island Benchmark Suite for Federated Learning. - Yuan Liang; Yange Guo; Yanxia Gong; Chunjie Luo; Jianfeng Zhan; Yunyou Huang (CoRR, 2020)

Ensemble Clustering-based Cervical Spondylosis Fine-classification. - Nana Wang 001; Chunjie Luo; Yunyou Huang; Jianfeng Zhan (BIBM, 2021)

AIBench Training: Balanced Industry-Standard AI Training Benchmarking. - Fei Tang; Wanling Gao; Jianfeng Zhan; Chuanxin Lan; Xu Wen; Lei Wang 004; Chunjie Luo; Zheng Cao; Xingwang Xiong; Zihan Jiang; Tianshu Hao; Fanda Fan; et al. (ISPASS, 2021)

OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings. - Yunyou Huang; Nana Wang 001; Suqin Tang; Li Ma; Tianshu Hao; Zihan Jiang; Fan Zhang 047; Guoxin Kang; Xiuxia Miao; Xianglong Guan; Ruchang Zhang; Zhifei Zhang; et al. (CoRR, 2021)

High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer. - Wanling Gao; Lei Wang 004; Mingyu Chen 001; Jin Xiong; Chunjie Luo; Wenli Zhang; Yunyou Huang; Weiping Li; Guoxin Kang; Chen Zheng 001; Biwei Xie; Shaopeng Dai; et al. (CoRR, 2022)

DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data. - Nana Wang 001; Chunjie Luo; Xi Huang; Yunyou Huang; Jianfeng Zhan (Neurocomputing, 2022)

An Interpretable Brain Network Atlas-Based Hybrid Model for Mild Cognitive Impairment Progression Prediction. - Xianglong Guan; Li Ma; Yunyou Huang; Suqin Tang; Tinghui Li (CACML, 2023)

OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis. - Yunyou Huang; Xianglong Guan; Xiangjiang Lu; Xiaoshuang Liang; Xiuxia Miao; Jiyue Xie; Wenjing Liu; Li Ma; Suqin Tang; Zhifei Zhang; Jianfeng Zhan (CoRR, 2023)

OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis. - Yunyou Huang; Xiaoshuang Liang; Xiangjiang Lu; Xiuxia Miao; Jiyue Xie; Wenjing Liu; Fan Zhang 047; Guoxin Kang; Li Ma; Suqin Tang; Zhifei Zhang; Jianfeng Zhan (CoRR, 2023)

Evaluatology: The Science and Engineering of Evaluation. - Jianfeng Zhan; Lei Wang 004; Wanling Gao; Hongxiao Li; Chenxi Wang; Yunyou Huang; Yatao Li; Zhengxin Yang; Guoxin Kang; Chunjie Luo; Hainan Ye; Shaopeng Dai; et al. (CoRR, 2024)

AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database. - Wanling Gao; Yuan Liu; Zhuoming Yu; Dandan Cui; Wenjing Liu; Xiaoshuang Liang; Jiahui Zhao; Jiyue Xie; Hao Li; Li Ma; Ning Ye; Yumiao Kang; et al. (CoRR, 2024)

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture. - Zhengxin Yang; Wanling Gao; Luzhou Peng; Yunyou Huang; Fei Tang; Jianfeng Zhan (CoRR, 2024)

Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models. - Wanling Gao; Yunyou Huang; Dandan Cui; Zhuoming Yu; Wenjing Liu; Xiaoshuang Liang; Jiahui Zhao; Jiyue Xie; Hao Li; Li Ma; Ning Ye; Yumiao Kang; et al. (CoRR, 2024)

OpenClinicalAI: An open and dynamic model for Alzheimer's Disease diagnosis. - Yunyou Huang; Xiaoshuang Liang; Jiyue Xie; Xiangjiang Lu; Xiuxia Miao; Wenjing Liu; Fan Zhang 047; Guoxin Kang; Li Ma; Suqin Tang; Jianfeng Zhan (Expert Syst. Appl., 2025)

Quantifying the Dynamics of Harm Caused by Retracted Research. - Yunyou Huang; Jiahui Zhao; Dandan Cui; Zhengxin Yang; Bingjie Xia; Qi Liang; Wenjing Liu; Li Ma; Suqin Tang; Tianyong Hao; Zhifei Zhang; Wanling Gao; et al. (CoRR, 2025)