@unpublished{63530,
  abstract     = {{The widespread deployment of 5G networks, together with the coexistence of 4G/LTE networks, provides mobile devices a diverse set of candidate cells to connect to. However, associating mobile devices to cells to maximize overall network performance, a.k.a. cell (re)selection, remains a key challenge for mobile operators. Today, cell (re)selection parameters are typically configured manually based on operator experience and rarely adapted to dynamic network conditions. In this work, we ask: Can an agent automatically learn and adapt cell (re)selection parameters to consistently improve network performance? We present a reinforcement learning (RL)-based framework called CellPilot that adaptively tunes cell (re)selection parameters by learning spatiotemporal patterns of mobile network dynamics. Our study with real-world data demonstrates that even a lightweight RL agent can outperform conventional heuristic reconfigurations by up to 167%, while generalizing effectively across different network scenarios. These results indicate that data-driven approaches can significantly improve cell (re)selection configurations and enhance mobile network performance.}},
  author       = {{Illian, Marvin and Khalili, Ramin and Rocha, Antonio A. de A. and Wang, Lin}},
  booktitle    = {{arXiv:2601.04083}},
  title        = {{{Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning}}},
  year         = {{2026}},
}

@inproceedings{65249,
  author       = {{Shaaban KabakiboKabakibo, Huzaifa and Trivedi, Animesh and Wang, Lin}},
  booktitle    = {{The 9th Annual Conference on Machine Learning and Systems (MLSys)}},
  location     = {{Bellevue, WA}},
  title        = {{{Breaking the Ice: Analyzing Cold Start Latency in vLLM}}},
  year         = {{2026}},
}

@inproceedings{65250,
  author       = {{Zohdi, Sepideh and Wang, Lin}},
  booktitle    = {{The 6th Workshop on Machine Learning and Systems (EuroMLSys)}},
  location     = {{Edinburg}},
  title        = {{{Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models }}},
  year         = {{2026}},
}

@inproceedings{65013,
  author       = {{Illian, Marvin and Khalili, Ramin and A. de A. Rocha, Antonio and Wang, Lin}},
  booktitle    = {{2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)}},
  publisher    = {{IFIP}},
  title        = {{{Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning}}},
  year         = {{2026}},
}

@article{61775,
  author       = {{Liu, Gaosheng and Yıldırım, Kasım Sinan and Wang, Lin}},
  issn         = {{1536-1233}},
  journal      = {{IEEE Transactions on Mobile Computing}},
  pages        = {{1--14}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{FreeBeacon: Efficient Communication and Data Aggregation in Battery-Free IoT}}},
  doi          = {{10.1109/tmc.2025.3614227}},
  year         = {{2025}},
}

@inproceedings{63054,
  author       = {{Apostolo, Guilherme Henrique and Bauszat, Pablo and Nigade, Vinod and Bal, Henri E. and Wang, Lin}},
  booktitle    = {{Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)}},
  location     = {{Hong Kong, China}},
  publisher    = {{ACM}},
  title        = {{{Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices}}},
  doi          = {{10.1145/3680207.3765260}},
  year         = {{2025}},
}

@article{63057,
  author       = {{Pei, Qiangyu and Yuan, Yongjie and Hu, Haichuan and Wang, Lin and Zhang, Dong and Yan, Bingheng and Yu, Chen and Liu, Fangming}},
  issn         = {{2377-3782}},
  journal      = {{IEEE Transactions on Sustainable Computing}},
  number       = {{4}},
  pages        = {{804--819}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters}}},
  doi          = {{10.1109/tsusc.2025.3542563}},
  volume       = {{10}},
  year         = {{2025}},
}

@inproceedings{63056,
  author       = {{Wu, Jing and Wang, Lin and Deng, Quanfeng and Yu, Chen and Zhang, Dong and Yan, Bingheng and Liu, Fangming}},
  booktitle    = {{2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}},
  location     = {{Milan, Italy}},
  publisher    = {{IEEE}},
  title        = {{{It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation}}},
  doi          = {{10.1109/ipdps64566.2025.00012}},
  year         = {{2025}},
}

@inproceedings{61256,
  author       = {{Illian, Marvin and Luchterhandt, Björn and Wang, Lin}},
  booktitle    = {{Proceedings of the 20th Workshop on Mobility in the Evolving Internet Architecture (MobiArch)}},
  location     = {{Hong Kong, China}},
  title        = {{{Band Switching for Mobile Energy Optimization in 5G Networks and Beyond}}},
  doi          = {{10.1145/3737897.3767294}},
  year         = {{2025}},
}

@inproceedings{63058,
  author       = {{Ghafouri, Saeid and Razavi, Kamran and Salmani, Mehran and Sanaee, Alireza and Botran, Tania Lorido and Wang, Lin and Doyle, Joseph and Jamshidi, Pooyan}},
  booktitle    = {{Companion of the 16th ACM/SPEC International Conference on Performance Engineering}},
  publisher    = {{ACM}},
  title        = {{{IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency}}},
  doi          = {{10.1145/3680256.3721266}},
  year         = {{2025}},
}

@inproceedings{50807,
  author       = {{Hu, Haichuan and Liu, Fangming and Pei, Qiangyu and Yuan, Yongjie and Xu, Zichen and Wang, Lin}},
  booktitle    = {{Proceedings of the ACM Web Conference (WWW)}},
  location     = {{Singapore}},
  publisher    = {{ACM}},
  title        = {{{𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing}}},
  doi          = {{10.1145/3589334.3645383}},
  year         = {{2024}},
}

@article{53531,
  author       = {{Ghafouri, Saeid and Razavi, Kamran and Salmani, Mehran and Sanaee, Alireza and Lorido Botran, Tania  and Wang, Lin and Doyle, Joseph and Jamshidi, Pooyan}},
  journal      = {{Journal of Systems Research (JSys)}},
  title        = {{{IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency}}},
  year         = {{2024}},
}

@inproceedings{55365,
  author       = {{Razavi, Kamran and Davari Fard, Shayan and Karlos, George and Nigade, Vinod and Mühlhäuser, Max and Wang, Lin}},
  booktitle    = {{Proceedings of the IEEE International Symposium on Computers and Communications (ISCC)}},
  location     = {{Paris, France}},
  title        = {{{NetNN: Neural Intrusion Detection System in Programmable Networks (Second Best Paper Award)}}},
  year         = {{2024}},
}

@inproceedings{53095,
  author       = {{Razavi, Kamran and Ghafouri, Saeid and Mühlhäuser, Max and Jamshidi, Pooyan and Wang, Lin}},
  booktitle    = {{Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024}},
  location     = {{Athens, Greece}},
  publisher    = {{ACM}},
  title        = {{{Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling}}},
  doi          = {{10.1145/3642970.365583}},
  year         = {{2024}},
}

@inproceedings{50066,
  author       = {{Dou, Feng and Wang, Lin and Chen, Shutong and Liu, Fangming}},
  booktitle    = {{Proceedings of the IEEE International Conference on Computer Communications (INFOCOM)}},
  location     = {{Vancouver, Canada}},
  publisher    = {{IEEE}},
  title        = {{{X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics}}},
  doi          = {{10.1109/INFOCOM52122.2024.10621341}},
  year         = {{2024}},
}

@inproceedings{53807,
  author       = {{Liu, Gaosheng and Nigade, Vinod and Bal, Henri and Wang, Lin}},
  booktitle    = {{Proceedings of the 8th ACM Asia Pacific Workshop on Networking (APNET)}},
  location     = {{Sydney, Austrialia}},
  title        = {{{A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT}}},
  doi          = {{10.1145/3663408.3663414}},
  year         = {{2024}},
}

@inproceedings{55366,
  author       = {{Karlos, George and Bal, Henri and Wang, Lin}},
  booktitle    = {{Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)}},
  location     = {{Atlanta, GA}},
  title        = {{{NetCL: A Unified Programming Framework for In-Network Computing}}},
  year         = {{2024}},
}

@article{55364,
  author       = {{Liu, Gaosheng and Wang, Lin}},
  journal      = {{IEEE Transactions on Mobile Computing (TMC)}},
  title        = {{{Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing}}},
  doi          = {{10.1109/TMC.2024.3429636}},
  year         = {{2024}},
}

@inproceedings{50065,
  author       = {{Blöcher, Marcel and Nedderhut, Nils and Chuprikov, Pavel and Khalili, Ramin and Eugster, Patrick and Wang, Lin}},
  booktitle    = {{Proceedings of the IEEE International Conference on Computer Communications (INFOCOM)}},
  location     = {{Vancouver, Canada}},
  publisher    = {{IEEE}},
  title        = {{{Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES}}},
  doi          = {{10.1109/INFOCOM52122.2024.10621125}},
  year         = {{2024}},
}

@inproceedings{56689,
  author       = {{Pei, Qiangyu and Wang, Lin and Zhang, Dong and Yan, Bingheng and Yu, Chen and Liu, Fangming}},
  booktitle    = {{Proceedings of the 15th ACM Symposium on Cloud Computing (SoCC)}},
  location     = {{Redmond}},
  title        = {{{InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment}}},
  year         = {{2024}},
}