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2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) ,
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Demo Abstract: CaringFM: An Interactive In-home Healthcare ..:
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2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) ,
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Poster Abstract: Threshold Cryptography-based Authenticatio..:
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Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems ,
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Poster Abstract: Unifying On-device Tensor Program Optimiza..:
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Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications ,
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Moses : Exploiting Cross-Device Transferable Features fo..:
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Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems ,
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Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN ..:
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Lecture Notes in Computer Science; Advanced Intelligent Computing Technology and Applications ,
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Fed-CSA: Channel Spatial Attention and Adaptive Weights Agg..:
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Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems ,
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Poster Abstract: CNN-guardian: Secure Neural Network Infere..:
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Proceedings of the 31st ACM International Conference on Multimedia ,
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Facial Auto Rigging from 4D Expressions via Skinning Decomp..:
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2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) ,
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UI Binding Transfer for Bone-driven Facial Rigs:
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Lecture Notes in Computer Science; Advanced Intelligent Computing Technology and Applications ,
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DBL-MPE: Deep Broad Learning for Prediction of Response to ..:
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Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems ,
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BlastNet : Exploiting Duo-Blocks for Cross-Processor Rea..:
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Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems ,
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Aaron : Compile-Time Kernel Adaptation for Multi-DNN Inf..:
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2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) ,
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BalanceFL: Addressing Class Imbalance in Long-Tail Federate..:
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Proceedings of the International Conference on Internet-of-Things Design and Implementation ,
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EdgeML : An AutoML Framework for Real-Time Deep Learning..:
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Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems ,
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