collaborators

12 papers

cs.LG2026

Multi-layer MIMO Relay as Deep Physical Neural Networks: Power Amplifiers as Activation Functions

Meng Hua, Itsik Bergel, Deniz Gündüz

Wireless physical neural networks (WPNNs) embed neural computation directly into analog hardware, offering lower energy consumption and latency than conventional digital implementa…

cs.CV2026

Resolving Multi-Target Association in OFDM-based ISAC via Vision-aided Multi-Modal Learning

Meng Hua, Chenghong Bian, Deniz Gunduz

Orthogonal frequency division multiplexing (OFDM)-based integrated sensing and communication (ISAC) systems commonly extract target parameters by peak-searching a delay-Doppler map…

eess.SP2026

Eff-WRFGS: Efficient Wireless Radiance Field Using 3D Gaussian Splatting

Chenghong Bian, Meng Hua, Deniz Gunduz

Wireless channel modeling is a key building block for next-generation wireless systems. Predicting the channel state information (CSI) across different transmitter locations can su…

eess.SP2026

Realization of a Fully Connected Neural Layer Over-the-Air through Multi-hop Amplify-and-Forward Relays

Tolga Girici, Meng Hua, Deniz Gündüz

We study the problem of implementing a fully-connected layer of a neural network using wireless over-the-air computing. We assume a multi hop system with a multi-antenna transmitte…

eess.SP2026

Pilot Allocation for Multi-Hop Over-the-Air Neural Inference under Imperfect CSI

Tolga Girici, Meng Hua, Deniz Gündüz

A multi-hop amplify-and-forward (AF) relay network can emulate a fully connected (FC) neural network layer via over-the-air (OTA) computation. However, achieving high emulation acc…

eess.SP2026

Relay-Assisted Activation-Integrated SIM for Wireless Physical Neural Networks

Meng Hua, Deniz Gündüz

Wireless physical neural networks (WPNNs) have emerged as a promising paradigm for performing neural computation directly in the physical layer of wireless systems, offering low la…