xingyaxuan / solc Goto Github PK

🌱She is currently pursuing a doctoral degree at Fudan University.

🌱Her research interests include inversion of vegetation parameters using multi-source data, edge computing, Internet of Things, and deep learning.

Here is her published paper

✨1> Learning Temporal and Spatial Features jointly: A Unified Framework for Space-Time Data Prediction in Industrial IoT Networks.

IEEE Sensors Journal

2023-08-15 | Journal article

DOI: 10.1109/JSEN.2023.3271629

CONTRIBUTORS: Yinghui Zhang; Hu An; Yaxuan Xing; Yang Liu; Tiankui Zhang Yinghui Zhang; Hu An; Yaxuan Xing; Yang Liu; Tiankui Zhang

✨2> Distillation knowledge-based space-time data prediction on industrial IoT edge devices.

The paper has open-source code ：https://github.com/xingyaxuan/KD-ST

Ad Hoc Networks

2022 | Journal article

DOI: https://doi.org/10.1016/j.adhoc.2022.102984

Part of ISSN: 1570-8705

CONTRIBUTORS: Yinghui Zhang; Yaxuan Xing; Yang Liu; Tiankui Zhang

✨3> Federated Learning-Based Space-Time Data Prediction on Edge Devices.

2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)

2022 | Conference paper

DOI: 10.1109/ICSP54964.2022.9778747

CONTRIBUTORS: Xing, Yaxuan; An, Hu; Zhang, Yinghui

✨4> Coordinated Beamforming Optimization with Interference Suppressing for Massive MIMO Systems

2021 | Book chapter

DOI: 10.1007/978-3-030-90196-7_20

CONTRIBUTORS: Huayu Wang; Yaxuan Xing; Jing Lv; Yinghui Zhang