Fangming Liu

About Fangming Liu

Fangming Liu, With an exceptional h-index of 47 and a recent h-index of 35 (since 2020), a distinguished researcher at Huazhong University of Science and Technology, specializes in the field of Cloud Computing/Datacenter, Edge Computing/Mobile Cloud, Green Computing, NFV/SDN/Virtualization, 5G & applied AI/ML.

His recent articles reflect a diverse array of research interests and contributions to the field:

Joint Optimization of Parallelism and Resource Configuration for Serverless Function Steps

????Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing

Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs

Graft: Efficient inference serving for hybrid deep learning with SLO guarantees via DNN re-alignment

Demystifying the cost of serverless computing: Towards a win-win deal

AsyFunc: A high-performance and resource-efficient serverless inference system via asymmetric functions

Integrated communication and computing maritime networks design for green metaverse

spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud

Fangming Liu Information

University

Position

Professor School of Computer Science & Technology

Citations(all)

7126

Citations(since 2020)

4120

Cited By

5174

hIndex(all)

47

hIndex(since 2020)

35

i10Index(all)

105

i10Index(since 2020)

83

Email

University Profile Page

Google Scholar

Fangming Liu Skills & Research Interests

Cloud Computing/Datacenter

Edge Computing/Mobile Cloud

Green Computing

NFV/SDN/Virtualization

5G & applied AI/ML

Top articles of Fangming Liu

Joint Optimization of Parallelism and Resource Configuration for Serverless Function Steps

IEEE Transactions on Parallel and Distributed Systems

2024/2/13

????Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing

2024

Fangming Liu
Fangming Liu

H-Index: 35

Lin Wang
Lin Wang

H-Index: 4

Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs

arXiv preprint arXiv:2312.10351

2023/12/16

Graft: Efficient inference serving for hybrid deep learning with SLO guarantees via DNN re-alignment

IEEE Transactions on Parallel and Distributed Systems

2023/12/7

Demystifying the cost of serverless computing: Towards a win-win deal

IEEE Transactions on Parallel and Distributed Systems

2023/11/7

Fangming Liu
Fangming Liu

H-Index: 35

AsyFunc: A high-performance and resource-efficient serverless inference system via asymmetric functions

2023/10/30

Qiong Chen
Qiong Chen

H-Index: 3

Fangming Liu
Fangming Liu

H-Index: 35

Integrated communication and computing maritime networks design for green metaverse

IEEE Wireless Communications

2023/10

spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud

2023/6/19

Container-based network functions virtualization platform

2023/1/24

When the Metaverse Meets Carbon Neutrality: Ongoing Efforts and Directions

arXiv preprint arXiv:2301.10235

2023/1/18

Fangming Liu
Fangming Liu

H-Index: 35

Lin Wang
Lin Wang

H-Index: 4

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud

IEEE Transactions on Parallel and Distributed Systems

2022/12/28

HiTDL: High-throughput deep learning inference at the hybrid mobile edge

IEEE Transactions on Parallel and Distributed Systems

2022/8/1

Online MEC offloading for V2V networks

IEEE Transactions on Mobile Computing

2022/6/28

Two-Stage Coded Federated Edge Learning: A Dynamic Partial Gradient Coding Perspective

arXiv preprint arXiv:2205.07939

2022/5/16

Stepconf: Slo-aware dynamic resource configuration for serverless function workflows

2022/5/2

Fangming Liu
Fangming Liu

H-Index: 35

Retention-aware container caching for serverless edge computing

2022/5/2

Optimal admission control mechanism design for time-sensitive services in edge computing

2022/5/2

Lin Wang
Lin Wang

H-Index: 4

Fangming Liu
Fangming Liu

H-Index: 35

CoolEdge: hotspot-relievable warm water cooling for energy-efficient edge datacenters

2022/2/28

Qixia Zhang
Qixia Zhang

H-Index: 5

Fangming Liu
Fangming Liu

H-Index: 35

Postman: Rapidly mitigating bursty traffic via on-demand offloading of packet processing

IEEE Transactions on Parallel and Distributed Systems

2021/6/24

EdgeDR: An online mechanism design for demand response in edge clouds

IEEE Transactions on Parallel and Distributed Systems

2021/6/8

See List of Professors in Fangming Liu University(Huazhong University of Science and Technology)

Co-Authors

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