| Edge AIBench: towards comprehensive end-to-end edge computing benchmarking T Hao, Y Huang, X Wen, W Gao, F Zhang, C Zheng, L Wang, H Ye, ... Benchmarking, Measuring, and Optimizing: First BenchCouncil International …, 2019 | 94 | 2019 |
| AIBench: towards scalable and comprehensive datacenter AI benchmarking W Gao, C Luo, L Wang, X Xiong, J Chen, T Hao, Z Jiang, F Fan, M Du, ... Benchmarking, Measuring, and Optimizing: First BenchCouncil International …, 2019 | 39 | 2019 |
| AIBench training: Balanced industry-standard AI training benchmarking F Tang, W Gao, J Zhan, C Lan, X Wen, L Wang, C Luo, Z Cao, X Xiong, ... 2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021 | 30 | 2021 |
| Scenario-based AI benchmark evaluation of distributed cloud/edge computing systems T Hao, K Hwang, J Zhan, Y Li, Y Cao IEEE Transactions on Computers 72 (3), 719-731, 2022 | 21 | 2022 |
| The implementation and optimization of matrix decomposition based collaborative filtering task on x86 platform T Hao, Z Zheng Benchmarking, Measuring, and Optimizing: Second BenchCouncil International …, 2020 | 13 | 2020 |
| Loadcnn: A low training cost deep learning model for day-ahead individual residential load forecasting Y Huang, N Wang, W Gao, X Guo, C Huang, T Hao, J Zhan arXiv preprint arXiv:1908.00298, 2019 | 12 | 2019 |
| AI-oriented workload allocation for cloud-edge computing T Hao, J Zhan, K Hwang, W Gao, X Wen 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021 | 9 | 2021 |
| Edge AIBench 2.0: A scalable autonomous vehicle benchmark for IoT–Edge–Cloud systems T Hao, W Gao, C Lan, F Tang, Z Jiang, J Zhan BenchCouncil Transactions on Benchmarks, Standards and Evaluations 2 (4), 100086, 2022 | 7 | 2022 |
| LoadCNN: A efficient green deep learning model for day-ahead individual resident load forecasting Y Huang, N Wang, T Hao, W Gao, C Huang, J Li, J Zhan arXiv preprint arXiv:1908.00298, 2019 | 7 | 2019 |
| A new direction to promote the implementation of artificial intelligence in natural clinical settings Y Huang, Z Zhang, N Wang, N Li, M Du, T Hao, J Zhan arXiv preprint arXiv:1905.02940, 2019 | 5 | 2019 |
| Shift-and-balance attention C Luo, J Zhan, T Hao, L Wang, W Gao arXiv preprint arXiv:2103.13080, 2021 | 4 | 2021 |
| Aibench: An industry standard ai benchmark suite from internet services F Tang, W Gao, J Zhan, C Lan, X Wen, L Wang, C Luo, J Dai, Z Cao, ... arXiv preprint arXiv:2004.14690, 2020 | 4 | 2020 |
| Isolate first, then share: a new os architecture for datacenter computing G Lu, J Zhan, C Tan, X Lin, D Kong, C Zheng, F Tang, C Huang, L Wang, ... arXiv preprint arXiv:1604.01378, 2016 | 4 | 2016 |
| AI-oriented medical workload allocation for hierarchical cloud/edge/device computing T Hao, J Zhan, K Hwang, W Gao, X Wen arXiv preprint arXiv:2002.03493, 2020 | 3 | 2020 |
| OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings Y Huang, N Wang, S Tang, L Ma, T Hao, Z Jiang, F Zhang, G Kang, ... arXiv preprint arXiv:2109.04004, 2021 | 2 | 2021 |
| Aibench: An agile domain-specific benchmarking methodology and an ai benchmark suite W Gao, F Tang, J Zhan, C Lan, C Luo, L Wang, J Dai, Z Cao, X Xiong, ... arXiv preprint arXiv:2002.07162, 2020 | 1 | 2020 |
| 10-millisecond Computing G Lu, J Zhan, T Hao, L Wang arXiv preprint arXiv:1610.01267, 2016 | 1 | 2016 |
Jianfeng Zhan (詹剑锋）University of Chinese Academy of Sciences & BenchCouncilPreverjeni e-poštni naslov na ict.ac.cn