CloudMix: Generating Diverse and Reducible Workloads for Cloud Systems. - Rui Han 001; Zan Zong; Fan Zhang 047; José Luis Vázquez-Poletti; Zhen Jia 001; Lei Wang 004 (CLOUD, 2017)

AccurateML: Information-aggregation-based approximate processing for fast and accurate machine learning on MapReduce. - Rui Han 001; Fan Zhang 047; Zhentao Wang (INFOCOM, 2017)

Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning. - Rui Han 001; Fan Zhang 047; Lydia Y. Chen; Jianfeng Zhan (RTSS, 2017)

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)

AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence. - Chunjie Luo; Fan Zhang 047; Cheng Huang; Xingwang Xiong; Jianan Chen 003; Lei Wang 004; Wanling Gao; Hainan Ye; Tong Wu; Runsong Zhou; Jianfeng Zhan (Bench, 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)

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 003; 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 003; Xingwang Xiong; Zihan Jiang; Tianshu Hao; et al. (CoRR, 2020)

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 003; 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)

EAIBench: An Energy Efficiency Benchmark for AI Training. - Fan Zhang 047; Chuanxin Lan; Lei Wang 004; Fei Tang; Shaopeng Dai; Jiangtao Wang; Jiantao Ma; Jianfeng Zhan (Bench, 2022)

Cross-Layer Profiling of IoTBench. - Fan Zhang 047; Chenxi Wang; Chunjie Luo; Lei Wang 004 (Bench, 2023)

WPC: Whole-picture Workload Characterization. - Lei Wang 004; Kaiyong Yang; Chenxi Wang; Wanling Gao; Chunjie Luo; Fan Zhang 047; Zhongxin Ge; Li Zhang; Guoxin Kang; 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)

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)