| EDL-COVID: Ensemble deep learning for COVID-19 case detection from chest X-ray images S Tang, C Wang, J Nie, N Kumar, Y Zhang, Z Xiong, A Barnawi IEEE Transactions on Industrial Informatics 17 (9), 6539-6549, 2021 | 144 | 2021 |
| Dynamicmr: A dynamic slot allocation optimization framework for mapreduce clusters S Tang, BS Lee, B He IEEE Transactions on Cloud Computing 2 (3), 333-347, 2014 | 107 | 2014 |
| Gait rhythm fluctuation analysis for neurodegenerative diseases by empirical mode decomposition P Ren, S Tang, F Fang, L Luo, L Xu, ML Bringas-Vega, D Yao, ... IEEE Transactions on Biomedical Engineering 64 (1), 52-60, 2016 | 80 | 2016 |
| A survey on spark ecosystem: Big data processing infrastructure, machine learning, and applications S Tang, B He, C Yu, Y Li, K Li IEEE Transactions on Knowledge and Data Engineering 34 (1), 71-91, 2020 | 69 | 2020 |
| Fair resource allocation for data-intensive computing in the cloud S Tang, BS Lee, B He IEEE Transactions on Services Computing 11 (1), 20-33, 2016 | 52 | 2016 |
| Dynamic job ordering and slot configurations for MapReduce workloads S Tang, BS Lee, B He IEEE Transactions on Services Computing 9 (1), 4-17, 2015 | 48 | 2015 |
| Long-term resource fairness: Towards economic fairness on pay-as-you-use computing systems S Tang, BS Lee, B He, H Liu Proceedings of the 28th ACM international conference on Supercomputing, 251-260, 2014 | 44 | 2014 |
| CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment X Chen, C Wang, S Tang, C Yu, Q Zou BMC bioinformatics 18, 1-10, 2017 | 42 | 2017 |
| Easypdp: An efficient parallel dynamic programming runtime system for computational biology S Tang, C Yu, J Sun, BS Lee, T Zhang, Z Xu, H Wu IEEE Transactions on Parallel and Distributed Systems 23 (5), 862-872, 2011 | 33 | 2011 |
| GAugur: Quantifying performance interference of colocated games for improving resource utilization in cloud gaming Y Li, C Shan, R Chen, X Tang, W Cai, S Tang, X Liu, G Wang, X Gong, ... Proceedings of the 28th international symposium on high-performance parallel …, 2019 | 32 | 2019 |
| Dynamic slot allocation technique for MapReduce clusters S Tang, BS Lee, B He 2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-8, 2013 | 31 | 2013 |
| Elastic multi-resource fairness: balancing fairness and efficiency in coupled CPU-GPU architectures S Tang, BS He, S Zhang, Z Niu SC'16: Proceedings of the International Conference for High Performance …, 2016 | 28 | 2016 |
| Fairness-efficiency scheduling for cloud computing with soft fairness guarantees S Tang, C Yu, Y Li IEEE Transactions on Cloud Computing 10 (3), 1806-1818, 2020 | 23 | 2020 |
| Long-term multi-resource fairness for pay-as-you use computing systems S Tang, Z Niu, B He, BS Lee, C Yu IEEE Transactions on Parallel and Distributed Systems 29 (5), 1147-1160, 2018 | 21 | 2018 |
| Towards economic fairness for big data processing in pay-as-you-go cloud computing S Tang, BS Lee, B He 2014 IEEE 6th International Conference on Cloud Computing Technology and …, 2014 | 19 | 2014 |
| Mrorder: Flexible job ordering optimization for online mapreduce workloads S Tang, BS Lee, B He Euro-Par 2013 Parallel Processing: 19th International Conference, Aachen …, 2013 | 19 | 2013 |
| Asw: accelerating Smith–Waterman algorithm on coupled CPU–GPU architecture H Zou, S Tang, C Yu, H Fu, Y Li, W Tang International Journal of Parallel Programming 47, 388-402, 2019 | 17 | 2019 |
| Gemini: An adaptive performance-fairness scheduler for data-intensive cluster computing Z Niu, S Tang, B He 2015 IEEE 7th International Conference on Cloud Computing Technology and …, 2015 | 17 | 2015 |
| EasyHPS: A multilevel hybrid parallel system for dynamic programming J Du, C Yu, J Sun, C Sun, S Tang, Y Yin 2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013 | 17 | 2013 |
| Speedup for multi-level parallel computing S Tang, BS Lee, B He 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 17 | 2012 |
