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Yifeng Xiong

8 accepted papers

2026

Discrete-Periodic Ambiguity Function of Random Communication Signals

ICASSP 2026oral

This paper investigates the ambiguity function (AF) of communication signals carrying random data payloads, which is a fundamental metric characterizing sensing capability in ISAC systems. We first develop a unified analytical framework to evaluate the AF of communication-centric ISAC signals constr…

Cited by 0SourcePDFScholar
2026

OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning

AAAI 2026technical

Low-Rank Adaptation (LoRA) enables efficient fine-tuning of large language models but suffers from catastrophic forgetting when learned updates interfere with the dominant singular directions that encode essential pre-trained knowledge. We propose Orthogonal Projection LoRA (OPLoRA), a theoretically

Cited by 0SourcePDFScholar
2025

Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering

ICCV 2025poster

While multi-step diffusion models have advanced both forward and inverse rendering, existing approaches often treat these problems independently, leading to cycle inconsistency and slow inference speed. In this work, we present Ouroboros, a framework composed of two single-step diffusion models that…

Cited by 0SourcePDFScholar
2024

Generalized Deterministic-Random Tradeoff of Integrated Sensing and Communications: The Sensing-Optimal Operating Point

ICASSP 2024accepted

Integrated sensing and communications (ISAC) has been recognized as a key component in the envisioned 6G communication systems. Understanding the fundamental performance tradeoff between sensing and communication functionalities is essential for designing practical cost-efficient ISAC systems. In th…

Cited by 0SourceScholar
2022

Position-Invariant Adversarial Attacks on Neural Modulation Recognition

ICASSP 2022accepted

Deep neural networks (DNNs) are widely used for neural modulation recognition (NMR) in the electronic field and have been shown to be vulnerable to adversarial examples for NMR. In the physical signal communication scenario, the adversarial signal transmitted by the adversary is affected by the chan…

Cited by 0SourceScholar
2022

Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability

CVPR 2022poster

The black-box adversarial attack has attracted impressive attention for its practical use in the field of deep learning security. Meanwhile, it is very challenging as there is no access to the network architecture or internal weights of the target model. Based on the hypothesis that if an example re…

Cited by 140PDFcodeScholar
2018

On Information Coupling in Cooperative Network Synchronization

ICASSP 2018accepted

Wireless networks are growing in the value of application in many areas, in which accurate clock synchronization is required when tasks are performed in a collaborative fashion among nodes. Especially, cooperative synchronization techniques lead to significant performance improvement compared with t…

Cited by 0SourceScholar