Search Results for author: Zirui Chen

Found 7 papers, 0 papers with code

Channel Mapping Based on Interleaved Learning with Complex-Domain MLP-Mixer

no code implementations7 Jan 2024 Zirui Chen, Zhaoyang Zhang, Zhaohui Yang, Lei Liu

For such a channel mapping task, inspired by the intrinsic coupling across the space and frequency domains, this letter proposes to use interleaved learning with partial antenna and subcarrier characteristics to represent the whole MIMO-OFDM channel.

Representation Learning

ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion

no code implementations11 Dec 2023 Wenbin Guo, Zhao Li, Xin Wang, Zirui Chen

In this paper, we propose a novel dynamic convolutional embedding model ConvD for knowledge graph completion, which directly reshapes the relation embeddings into multiple internal convolution kernels to improve the external convolution kernels of the traditional convolutional embedding model.

Entity Embeddings Relation

A Frequency-Domain Path-Following Method for Discrete Data-Based Paths

no code implementations14 Aug 2023 Zirui Chen, Zongyu Zuo

This paper presents a novel frequency-domain approach for path following problem, specifically designed to handle paths described by discrete data.

Non-singular Cooperative Guiding Vector Field Under a Homotopy Equivalence Transformation

no code implementations14 Aug 2023 Zirui Chen, Zongyu Zuo

The present article advances the concept of a non-singular cooperative guiding vector field under a homotopy equivalence transformation.

Navigate

From Data-driven Learning to Physics-inspired Inferring: A Novel Mobile MIMO Channel Prediction Scheme Based on Neural ODE

no code implementations9 Apr 2023 Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Chongwen Huang, Xiaoming Chen

Then, we design a novel physics-inspired spatial channel gradient network (SCGnet), which represents the derivative process of channel varying as a special neural network and can obtain the gradients at any relative displacement needed for the ODE solving.

Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach

no code implementations8 Jul 2022 Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Richeng Jin

Through exploring the intrinsic correlation among a set of historical CSI instances randomly obtained in a certain communication environment, channel prediction can significantly increase CSI accuracy and save signaling overhead.

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