Prof. Dr. Lin Wang

Computer Networks

Contact and Affiliations

Office Address:
Pohlweg 51
33098 Paderborn
Room:
O3.149

About Lin Wang

Lin Wang is currently a Full Professor (W3) and Head of the Computer Networks group in the Department of Computer Science at Paderborn University. He received his Ph.D. in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences in 2015. Before joining Paderborn University, he was a tenured Assistant Professor at Vrije Universiteit Amsterdam. Before that, he held (visiting) positions at TU Darmstadt, SnT Luxembourg, and IMDEA Networks Institute. His research is focused on networked systems at the edge and in the cloud, with the goal of achieving performance and sustainability. He has served as a referee for several funding agencies (e.g., DFG, ISF, and HK-RGC), on the program committees of major conferences (e.g., SoCC, Middleware, INFOCOM, MobiHoc, ICDCS, IWQoS, and SEC) and as a reviewer for top journals (e.g., ToN, JSAC, TMC, and TPDS). He has received several awards, including a Google Research Scholar Award, an Outstanding Paper Award of IEEE RTSS 2022, Best Paper Awards of IEEE IPCCC 2023, IEEE ISCC 2024, and IEEE HotPNS 2016, and an Athene Young Investigator Award of TU Darmstadt. He is currently a Senior Member of IEEE. 

Publications

Latest Publications

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

H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, L. Wang, in: Proceedings of the ACM Web Conference (WWW), ACM, 2024.


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.).


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

K. Razavi, S. Davari Fard, G. Karlos, V. Nigade, M. Mühlh?user, L. Wang, in: Proceedings of the IEEE International Symposium on Computers and Communications (ISCC), 2024.


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

K. Razavi, S. Ghafouri, M. Mühlh?user, P. Jamshidi, L. Wang, in: Proceedings of the 4th 365体育_足球比分网¥投注直播官网 on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024, ACM, 2024.


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

F. Dou, L. Wang, S. Chen, F. Liu, in: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE, n.d.


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Teaching


Current Courses

  • Seminar: Programmable Networks (in English)
  • Rechnernetze (in English)
  • Project Group: Sustainable Internet-of-Things (in English)