Welcome to the Computer Networks Research Group
We conduct research and teaching in networked systems of all kinds, ranging from cloud data centers to mobile devices. With the rapid growth of AI workloads, networked systems have become critical infrastructure for training and serving large machine learning models. Our research explores how to make such systems more scalable, efficient, and sustainable.
Please visit our group website for more information about our research, teaching/theses, and open positions.
Teaching
Our recent, current, and upcoming course offerings are listed below. Note that the upcoming ones are projections based on offerings in last year and may be subject to changes.
The following modules will be offered regularly in the coming years.
- Lecture: Computer Networks (BSc) - Winter Semsters
- Lecture: Distributed Systems (BSc) - Winter Semesters
- Lecture: Advanced Networked Systems (MSc) - Summer Semsters
- Lecture: Computer Networks (BSc)
- Lecture: Distributed Systems (BSc)
- Project Group: Performance Benchmarking and Optimization for Mobile Agentic Systems
- Seminar: Networked Systems for LLM Inference
- Lecture: Advanced Networked Systems
- Seminar: Systems Support for LLM Inference
- Project Group: Benchmarking and Optimizing Mobile RAG Systems
- Lecture: Computer Networks (BSc)
- Lecture: Distributed Systems (BSc)
- Lecture: Advanced Networked Systems (MSc)
- Seminar: Networking for LLMs (MSc)
- Project Group: Sustainable Internet of Things (MSc)
- Lecture: Computer Networks (BSc)
- Seminar: Programmable Networks (MSc)
- Project Group: Sustainable Internet of Things (MSc)
- Lecture: Advanced Networked Systems (MSc)
- Seminar: In-Network Computing (MSc)
- Lecture: Computer Networks (BSc)
Publications
2026
Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models
S. Zohdi, L. Wang, in: The 6th Workshop on Machine Learning and Systems (EuroMLSys), 2026.
Breaking the Ice: Analyzing Cold Start Latency in vLLM
H. Shaaban KabakiboKabakibo, A. Trivedi, L. Wang, in: The 9th Annual Conference on Machine Learning and Systems (MLSys), 2026.
Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning
M. Illian, R. Khalili, A. A. de A. Rocha, L. Wang, in: 2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), IFIP, 2026.
Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning
M. Illian, R. Khalili, A.A. de A. Rocha, L. Wang, ArXiv:2601.04083 (2026).
2025
Band Switching for Mobile Energy Optimization in 5G Networks and Beyond
M. Illian, B. Luchterhandt, L. Wang, in: Proceedings of the 20th Workshop on Mobility in the Evolving Internet Architecture (MobiArch), 2025.
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
S. Ghafouri, K. Razavi, M. Salmani, A. Sanaee, T.L. Botran, L. Wang, J. Doyle, P. Jamshidi, in: Companion of the 16th ACM/SPEC International Conference on Performance Engineering, ACM, 2025.
It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation
J. Wu, L. Wang, Q. Deng, C. Yu, D. Zhang, B. Yan, F. Liu, in: 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2025.
Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices
G.H. Apostolo, P. Bauszat, V. Nigade, H.E. Bal, L. Wang, in: Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom), ACM, 2025.
FreeBeacon: Efficient Communication and Data Aggregation in Battery-Free IoT
G. Liu, K.S. Yıldırım, L. Wang, IEEE Transactions on Mobile Computing (2025) 1–14.
Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters
Q. Pei, Y. Yuan, H. Hu, L. Wang, D. Zhang, B. Yan, C. Yu, F. Liu, IEEE Transactions on Sustainable Computing 10 (2025) 804–819.
2024
A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT
G. Liu, V. Nigade, H. Bal, L. Wang, in: Proceedings of the 8th ACM Asia Pacific Workshop on Networking (APNET), 2024.
InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment
Q. Pei, L. Wang, D. Zhang, B. Yan, C. Yu, F. Liu, in: Proceedings of the 15th ACM Symposium on Cloud Computing (SoCC), 2024.
NetCL: A Unified Programming Framework for In-Network Computing
G. Karlos, H. Bal, L. Wang, in: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2024.
NetNN: Neural Intrusion Detection System in Programmable Networks (Second Best Paper Award)
K. Razavi, S. Davari Fard, G. Karlos, V. Nigade, M. Mühlhäuser, 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. Mühlhäuser, P. Jamshidi, L. Wang, in: Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024, ACM, 2024.
Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES
M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, L. Wang, in: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE, n.d.
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.
𝜆Grapher: 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.
A Comparative Measurement Study of Cross-Layer 5G Performance Under Different Mobility Scenarios
J. Hu, L. Wang, J. Wu, Q. Pei, F. Liu, B. Li, Computer Networks 257 (2024).
Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing
G. Liu, L. Wang, IEEE Transactions on Mobile Computing (TMC) (2024).
Inference serving with end-to-end latency SLOs over dynamic edge networks
V. Nigade, P. Bauszat, H. Bal, L. Wang, Real-Time Systems 60 (2024) 239–290.
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.).
2023
Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment
J. Wu, L. Wang, Q. Jin, F. Liu, IEEE Transactions on Parallel and Distributed Systems 35 (2023) 280–296.
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Contact
Office hours
By appointment.