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.

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.

706Grapher: 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.

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.

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.).

Network and Service Coordination: Conventional and Machine Learning Approaches"
S.B. Schneider, Network and Service Coordination: Conventional and Machine Learning Approaches", 2022.

mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks
S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.

Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.

Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022.

Distributed gradient-based optimization in the presence of dependent  aperiodic communication
A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).

Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms
A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.00570 (2022).

Practical Network Conditions for the Convergence of Distributed Optimization
A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.

Use What You Know: Network and Service Coordination Beyond Certainty
S. Werner, S.B. Schneider, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.

Learning Flow Scheduling
A. Hasnain, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC), IEEE Computer Society, n.d.

Automating Network Resource Allocation for Coflows with Deadlines
A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines, 2021.

Learning Coflow Admissions
A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.

Distributed Online Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021.

Divide and Conquer: Hierarchical Network and Service Coordination
S.B. Schneider, M. Jürgens, H. Karl, in: IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP/IEEE, 2021.

Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).

DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.