Scholar
Shanjiang Tang
Google Scholar ID: B3-5FJUAAAAJ
Associate Professor, College of Intelligence and Computing, Tianjin University
Citations & Impact
Citations
807
H-index
13
i10-index
17
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- 2021: Paper 'EDL-COVID: Ensemble Deep Learning for COVID-19 Cases Detection from Chest X-Ray Images' accepted by IEEE Transactions on Industrial Informatics
- 2020: Paper 'Fairness-Efficiency Scheduling for Cloud Computing with Soft Fairness Guarantees' accepted by IEEE Transactions on Cloud Computing
- 2020: Paper 'Balancing Fairness and Efficiency for Cache Sharing in Semi-external Memory System' accepted by ICPP 2020
- 2020: Survey paper 'A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications' accepted by IEEE Transactions on Knowledge and Data Engineering
- 2019: Project 'Optimization on Multi-tenant Deep Learning Computing in a Shared Computing System' funded by National Science Foundation of China
- 2018: Paper 'QKnober: A Knob-based Fairness-Efficiency Scheduler for Cloud Computing with QoS Guarantees' accepted by ICSOC 2018
- 2018: Project 'Efficient Spark-based Query Processing Techniques for Big Spatial Data in Supercomputing Systems' funded by Key Program of Tianjin Natural Science Foundation
- 2017: Paper 'Long-Term Multi-Resource Fairness for Pay-as-you Use Computing Systems' accepted by IEEE Transactions on Parallel and Distributed Systems
- 2016: Recipient of the 'Thousand Youth Talents Plan of Tianjin'
- 2016: Paper 'Elastic Multi-Resource Fairness: Balancing Fairness and Efficiency in Coupled CPU-GPU Architectures' accepted by ACM/IEEE Supercomputing 2016
- 2016: Paper 'Fair Resource Allocation for Data-Intensive Computing in the Cloud' accepted by IEEE Transactions on Services Computing
- 2015: Paper 'Dynamic Job Ordering and Slot Configurations for MapReduce Workloads' accepted by IEEE Transactions on Services Computing
- 2014: Paper 'DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters' accepted by IEEE Transactions on Cloud Computing
- 2014: Paper 'Long-Term Resource Fairness: Towards Economic Fairness on Pay-as-you-use Computing Systems' accepted by ICS 2014
Background
- Associate Professor and Master Supervisor at the College of Intelligence and Computing, Tianjin University
- Research interests include large-scale computing systems, big data, deep learning, and cloud computing
- Special focus on resource management and job scheduling in Hadoop/YARN systems
- Interested in designing novel scheduling and resource allocation algorithms, analyzing their performance, and implementing them in large-scale systems
- Also explores problems at the intersection of computing systems and economics
- Seeking motivated undergraduate and graduate students interested in big data, machine learning, parallel computing, and cloud computing
Co-authors