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Yizhi Zhou

8 accepted papers

2026

FedCART: Tackling Long-Tailed Distributions in Federated Adversarial Training via Classifier Refinement

CVPR 2026

Growing privacy and security demands in the real world have spurred interest in adversarially robust Federated Learning (FL). While Adversarial Training (AT) is a well-established defense in centralized learning, its extension to the federated setting, known as Federated Adversarial Training (FAT),

Cited by 0SourceScholar
2025

CVIRO: A Consistent and Tightly-Coupled Visual-Inertial-Ranging Odometry on Lie Groups

IROS 2025

Ultra-Wideband (UWB) is widely used to mitigate drift in visual-inertial odometry (VIO) systems. Consistency is crucial for ensuring the estimation accuracy of a UWB-aided VIO system. An inconsistent estimator can degrade localization performance, where the inconsistency primarily arises from two ma

Cited by 0SourceScholar
2025

Layerwise Recurrent Router for Mixture-of-Experts

ICLR 2025poster

The scaling of large language models (LLMs) has revolutionized their capabilities in various tasks, yet this growth must be matched with efficient computational strategies. The Mixture-of-Experts (MoE) architecture stands out for its ability to scale model size without significantly increasing trai…

2025

Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction

IROS 2025

This paper presents a novel robust online calibration framework for Ultra-Wideband (UWB) anchors in UWB-aided Visual-Inertial Navigation Systems (VINS). Accurate anchor positioning, a process known as calibration, is crucial for integrating UWB ranging measurements into state estimation. While sever

Cited by 0SourceScholar
2025

SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor

AAAI 2025technical

The emergence of novel generative modeling paradigms, particularly audio language models, has significantly advanced the field of song generation. Although state-of-the-art models are capable of synthesizing both vocals and accompaniment tracks up to several minutes long concurrently, research about…

2021

Toward a Telescopic Steerable Robotic Needle for Minimally Invasive Tissue Biopsy

RA-L 2021

This letter presents the design and development of a telescopic steerable robotic needle for minimally invasive tissue biopsy. Definitive diagnosis of many diseases relies on the pathological studies of small pieces of tissue extracted from human using biopsy procedures. However, traditional biopsy

Cited by 21SourceScholar