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Meiyi Zhu
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2020 – today
- 2024
- [j3]Meiyi Zhu
, Matteo Zecchin
, Sangwoo Park
, Caili Guo
, Chunyan Feng
, Osvaldo Simeone
:
Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. IEEE Trans. Signal Process. 72: 1235-1250 (2024) - [c3]Zhe Liu, Caili Guo, Meiyi Zhu:
Semantic Redundancy-Aware Multi-View Edge Inference Based on Rate-Distortion in IoT Systems. WCNC 2024: 1-6 - [i4]Meiyi Zhu, Caili Guo, Chunyan Feng, Osvaldo Simeone:
Uncertainty, Calibration, and Membership Inference Attacks: An Information-Theoretic Perspective. CoRR abs/2402.10686 (2024) - [i3]Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone:
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. CoRR abs/2409.07902 (2024) - 2023
- [j2]Meiyi Zhu, Chaoyi Zhang, Jianquan Wang, Lei Sun
, Meixia Fu
:
Robust Hand Gesture Recognition Using a Deformable Dual-Stream Fusion Network Based on CNN-TCN for FMCW Radar. Sensors 23(20): 8570 (2023) - [j1]Meiyi Zhu
, Chunyan Feng
, Caili Guo
, Nan Jiang
, Osvaldo Simeone
:
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems. IEEE Signal Process. Lett. 30: 403-407 (2023) - [i2]Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone:
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction. CoRR abs/2308.04237 (2023) - 2022
- [i1]Meiyi Zhu, Chunyan Feng, Caili Guo, Zhe Liu, Nan Jiang, Osvaldo Simeone:
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access. CoRR abs/2212.09337 (2022) - 2021
- [c2]Jiujiu Chen, Caili Guo, Chunyan Feng, Meiyi Zhu, Qizheng Sun:
Content Driven and Reinforcement Learning Based Resource Allocation Scheme in Vehicular Network. ICC 2021: 1-6 - [c1]Meiyi Zhu
, Chunyan Feng, Jiujiu Chen, Caili Guo, Xiaofang Gao:
Video Semantics based Resource Allocation Algorithm for Spectrum Multiplexing Scenarios in Vehicular Networks. ICCC Workshops 2021: 31-36
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