Projects per year
Fingerprint Dive into the research topics where Michelle Zhu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Data transfer
Engineering & Materials Science
Network performance
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Scheduling algorithms
Engineering & Materials Science
Bandwidth
Engineering & Materials Science
Visualization
Engineering & Materials Science
Pipelines
Engineering & Materials Science
Wide area networks
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2017 2020
- 1 Active
ASSIMILATING COMPUTATIONAL AND MATHEMATICAL THINKING INTO EARTH AND ENVIRONMENTAL SCIENCE
National Institute of Food and Agriculture (NIFA)
15/09/17 → 31/08/20
Project: Research
teacher
science
mathematics
student
school grade
Research Output 2001 2019
A study on flat and hierarchical system deployment for edge computing
Li, D., Dong, B., Wang, E. & Zhu, M., 12 Mar 2019, 2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019. Chakrabarti, S. & Saha, H. N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 163-169 7 p. 8666572. (2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Hierarchical systems
Base stations
Servers
Mobile devices
Bandwidth Scheduling for Big Data Transfer with Deadline Constraint between Data Centers
Hou, A., Wu, C. Q., Fang, D., Zuo, L., Zhu, M., Zhang, X., Qiao, R. & Yin, X., 21 Feb 2019, Proceedings of INDIS 2018: Innovating the Network for Data-Intensive Science, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 55-63 9 p. 8648791. (Proceedings of INDIS 2018: Innovating the Network for Data-Intensive Science, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Data transfer
Scheduling
Bandwidth
Telecommunication links
Quality of service
Instance-based deep transfer learning
Wang, T., Huan, J. & Zhu, M., 4 Mar 2019, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., p. 367-375 9 p. 8659197. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Image classification
Computer vision
Experiments
Deep learning
Optimizing Trade-Off Between Cost and Performance of Data Transfers Using Bandwidth Reservation in Dedicated Networks
Zuo, L., Zhu, M. & Chang, C. H., 15 Jan 2019, In : Journal of Network and Systems Management. 27, 1, p. 166-187 22 p.Research output: Contribution to journal › Article › Research › peer-review
Data transfer
Bandwidth
Costs
Scheduling
Scheduling algorithms
3
Citations
(Scopus)
Bandwidth Reservation Strategies for Scheduling Maximization in Dedicated Networks
Zuo, L., Zhu, M. & Wu, C. Q., 1 Jun 2018, In : IEEE Transactions on Network and Service Management. 15, 2, p. 544-554 11 p.Research output: Contribution to journal › Article › Research › peer-review
Heuristic algorithms
Scheduling
Bandwidth
Data transfer
Network performance