Publications
This page lists all publications by the Computer Networks group, classified into different categories.
Conferences
2024
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.
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.
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.
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.
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.
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.
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.
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
S. Ghafouri, K. Razavi, M. Salmani, A. Sanaee, T. Lorido Botran, L. Wang, J. Doyle, P. Jamshidi, Journal of Systems Research (JSys) (n.d.).
G. Liu, L. Wang, IEEE Transactions on Mobile Computing (TMC) (2024).
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