• 543 Citations
  • 13 h-Index
20012020
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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

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 proceedingConference contributionResearchpeer-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 proceedingConference contributionResearchpeer-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 proceedingConference contributionResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-review

Heuristic algorithms
Scheduling
Bandwidth
Data transfer
Network performance