Neiwen Ling

Orcid: 0000-0003-2072-1502

According to our database1, Neiwen Ling authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

2023
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems.
CoRR, 2023

Moses: Exploiting Cross-Device Transferable Features for on-Device Tensor Program Optimization.
Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, 2023

Poster Abstract: Unifying On-device Tensor Program Optimization through Large Foundation Model.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

CoEdge: A Cooperative Edge System for Distributed Real-Time Deep Learning Tasks.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

2022
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization.
CoRR, 2022

Aaron: Compile-Time Kernel Adaptation for Multi-DNN Inference Acceleration on Edge GPU.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

BlastNet: Exploiting Duo-Blocks for Cross-Processor Real-Time DNN Inference.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

An Indoor Smart Traffic Dataset and Data Collection System: Dataset.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

2021
RT-mDL: Supporting Real-Time Mixed Deep Learning Tasks on Edge Platforms.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

EdgeML: An AutoML Framework for Real-Time Deep Learning on the Edge.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2018
ECRT: An Edge Computing System for Real-Time Image-based Object Tracking.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018


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