Search Results for author: Peiran Wu

Found 5 papers, 1 papers with code

Movable Antenna Enhanced DF and AF Relaying Systems: Performance Analysis and Optimization

no code implementations14 Jan 2025 Nianzu Li, Weidong Mei, Peiran Wu, Boyu Ning, Lipeng Zhu

For the AF relaying system, our objective is to maximize the achievable rate by jointly optimizing the two-stage MA positions as well as the AF beamforming matrix at the relay, which results in a more challenging optimization problem due to the intricate coupling variables.

Position

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks

no code implementations1 Oct 2024 Peiran Wu, Che Liu, Canyu Chen, Jun Li, Cosmin I. Bercea, Rossella Arcucci

In response, we propose FMBench, the first benchmark designed to evaluate the fairness of MLLMs performance across diverse demographic attributes.

Benchmarking Fairness +2

Over-the-Air Computation via 2D Movable Antenna Array

no code implementations16 Sep 2024 Nianzu Li, Peiran Wu, Boyu Ning, Lipeng Zhu, Weidong Mei

In this letter, we advance its application for over-the-air computation (AirComp) network, where an access point is equipped with a two-dimensional (2D) MA array to aggregate wireless data from massive users.

Position

Sum Rate Maximization for Movable Antenna Enabled Uplink NOMA

no code implementations13 Aug 2024 Nianzu Li, Peiran Wu, Boyu Ning, Lipeng Zhu

Next, we derive the closed-form optimal solution of the decoding order and power control subproblem.

Position

Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow

1 code implementation15 Mar 2024 Yang Liu, Peiran Wu, Jiayu Huo, Gongyu Zhang, Zhen Yuan, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin

Unsupervised video-based surgical instrument segmentation has the potential to accelerate the adoption of robot-assisted procedures by reducing the reliance on manual annotations.

Optical Flow Estimation Segmentation

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