Pub­lic­a­tions

This page lists all publications by the Computer Networks group, classified into different categories.

Con­fer­ences

2024

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

H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, and L. Wang, “𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing,” presented at the ACM Web Conference (WWW), Singapore, 2024, doi: 10.1145/3589334.3645383.

DOI

NetNN: Neural Intrusion Detection System in Programmable Networks (Second Best Paper Award)

K. Razavi, S. Davari Fard, G. Karlos, V. Nigade, M. Mühlhäuser, and L. Wang, “NetNN: Neural Intrusion Detection System in Programmable Networks (Second Best Paper Award),” presented at the 29th IEEE International Symposium on Computers and Communications (ISCC), Paris, France, 2024.


Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling

K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented at the 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece, 2024, doi: 10.1145/3642970.365583.

DOI

X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics

F. Dou, L. Wang, S. Chen, and F. Liu, “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, doi: 10.1109/INFOCOM52122.2024.10621341.

DOI

A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT

G. Liu, V. Nigade, H. Bal, and L. Wang, “A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT,” presented at the ACM Asia Pacific Workshop on Networking (APNET), Sydney, Austrialia, 2024, doi: 10.1145/3663408.3663414.

DOI

NetCL: A Unified Programming Framework for In-Network Computing

G. Karlos, H. Bal, and L. Wang, “NetCL: A Unified Programming Framework for In-Network Computing,” presented at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Atlanta, GA, 2024.


Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES

M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, and L. Wang, “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, doi: 10.1109/INFOCOM52122.2024.10621125.

DOI

InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment

Q. Pei, L. Wang, D. Zhang, B. Yan, C. Yu, and F. Liu, “InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment,” presented at the ACM Symposium on Cloud Computing (SoCC), Redmond, 2024.


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Journ­als

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency

S. Ghafouri, K. Razavi, M. Salmani, A. Sanaee, T. Lorido Botran, L. Wang, J. Doyle, P. Jamshidi, Journal of Systems Research (JSys) (n.d.).


Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing

G. Liu, L. Wang, IEEE Transactions on Mobile Computing (TMC) (2024).

DOI

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