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Poster Abstract: Unifying On-device Tensor Program Optimization through Large Foundation Model., , , , and . SenSys, page 504-505. ACM, (2023)CoEdge: A Cooperative Edge System for Distributed Real-Time Deep Learning Tasks., , , , , , , and . IPSN, page 53-66. ACM, (2023)Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems., , , , , and . RTCSA, page 31-36. IEEE, (2024)ECRT: An Edge Computing System for Real-Time Image-based Object Tracking., , , , and . SenSys, page 394-395. ACM, (2018)RT-mDL: Supporting Real-Time Mixed Deep Learning Tasks on Edge Platforms., , , , and . SenSys, page 1-14. ACM, (2021)Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training., , , , , , , , and . MobiSys, page 530-543. ACM, (2023)EdgeML: An AutoML Framework for Real-Time Deep Learning on the Edge., , , and . IoTDI, page 133-144. ACM, (2021)Moses: Exploiting Cross-Device Transferable Features for on-Device Tensor Program Optimization., , , , , and . HotMobile, page 22-28. ACM, (2023)Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU., , , and . SenSys, page 97-110. ACM, (2023)Aaron: Compile-Time Kernel Adaptation for Multi-DNN Inference Acceleration on Edge GPU., , , and . SenSys, page 802-803. ACM, (2022)