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377 Publications
2025 | Journal Article | LibreCat-ID: 61775
G. Liu, K. S. Yıldırım, and L. Wang, “FreeBeacon: Efficient Communication and Data Aggregation in Battery-Free IoT,” IEEE Transactions on Mobile Computing, pp. 1–14, 2025, doi: 10.1109/tmc.2025.3614227.
LibreCat
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2025 | Conference Paper | LibreCat-ID: 63054
G. H. Apostolo, P. Bauszat, V. Nigade, H. E. Bal, and L. Wang, “Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices,” presented at the 31st Annual International Conference on Mobile Computing and Networking (MobiCom), Hong Kong, China, 2025, doi: 10.1145/3680207.3765260.
LibreCat
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2025 | Journal Article | LibreCat-ID: 63057
Q. Pei et al., “Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters,” IEEE Transactions on Sustainable Computing, vol. 10, no. 4, pp. 804–819, 2025, doi: 10.1109/tsusc.2025.3542563.
LibreCat
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2025 | Conference Paper | LibreCat-ID: 63056
J. Wu et al., “It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation,” presented at the 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Milan, Italy, 2025, doi: 10.1109/ipdps64566.2025.00012.
LibreCat
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2025 | Conference Paper | LibreCat-ID: 61256
M. Illian, B. Luchterhandt, and L. Wang, “Band Switching for Mobile Energy Optimization in 5G Networks and Beyond,” presented at the ACM Workshop on Mobility in the Evolving Internet Architecture (MobiArch), co-located with ACM MobiCom, Hong Kong, China, 2025, doi: 10.1145/3737897.3767294.
LibreCat
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2025 | Conference Paper | LibreCat-ID: 63058
S. Ghafouri et al., “IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency,” presented at the 16th ACM/SPEC International Conference on Performance Engineering, 2025, doi: 10.1145/3680256.3721266.
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2024 | Conference Paper | LibreCat-ID: 50807
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.
LibreCat
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2024 | Journal Article | LibreCat-ID: 53531
S. Ghafouri et al., “IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency,” Journal of Systems Research (JSys).
LibreCat
2024 | Conference Paper | LibreCat-ID: 55365
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.
LibreCat
2024 | Conference Paper | LibreCat-ID: 53095
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.
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2024 | Conference Paper | LibreCat-ID: 50066
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.
LibreCat
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2024 | Conference Paper | LibreCat-ID: 53807
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.
LibreCat
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2024 | Conference Paper | LibreCat-ID: 55366
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.
LibreCat
2024 | Journal Article | LibreCat-ID: 55364
G. Liu and L. Wang, “Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing,” IEEE Transactions on Mobile Computing (TMC), 2024, doi: 10.1109/TMC.2024.3429636.
LibreCat
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2024 | Conference Paper | LibreCat-ID: 50065
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.
LibreCat
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2024 | Conference Paper | LibreCat-ID: 56689
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.
LibreCat
2024 | Journal Article | LibreCat-ID: 59074
J. Hu, L. Wang, J. Wu, Q. Pei, F. Liu, and B. Li, “A Comparative Measurement Study of Cross-Layer 5G Performance Under Different Mobility Scenarios,” Computer Networks, vol. 257, Art. no. 110952, 2024, doi: 10.1016/j.comnet.2024.110952.
LibreCat
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2024 | Journal Article | LibreCat-ID: 63059
V. Nigade, P. Bauszat, H. Bal, and L. Wang, “Inference serving with end-to-end latency SLOs over dynamic edge networks,” Real-Time Systems, vol. 60, no. 2, pp. 239–290, 2024, doi: 10.1007/s11241-024-09418-4.
LibreCat
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2023 | Journal Article | LibreCat-ID: 63060
J. Wu, L. Wang, Q. Jin, and F. Liu, “Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment,” IEEE Transactions on Parallel and Distributed Systems, vol. 35, no. 2, pp. 280–296, 2023, doi: 10.1109/tpds.2023.3340518.
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