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Xuyang Wang

7 accepted papers

2026

Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization

AAAI 2026technical

Recent advancements in Pre-trained Language Models (PLMs) have significantly enhanced performance across various Natural Language Processing (NLP) tasks. However, the variability in data distributions across different domains presents challenges in generalizing these models to unseen domains. Domain

Cited by 0SourcePDFScholar
2026

SE(3)-Equivariant Flow Matching with Gaussian Process Priors for Geometric Trajectory Prediction

ICML 2026poster

The trajectory prediction of N-body systems is of great significance and remains challenging with broad applications across various fields such as physics, chemistry and biology. Recent advances in generative models including flow matching and diffusion models have emerged as effective solutions to …

Cited by 0SourceScholar
2025

Automatic Text Pronunciation Correlation Generation and Application for Contextual Biasing

ICASSP 2025accepted

Effectively distinguishing the pronunciation correlations between different written texts is a significant issue in linguistic acoustics. Traditionally, such pronunciation correlations are obtained through manually designed pronunciation lexicons. In this paper, we propose a data-driven method to au…

Cited by 0SourceScholar
2025

Hybrid Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition

ICASSP 2025accepted

Pseudo-labeling based semi-supervised learning can mitigate the performance degradation resulting from the absence of labeled data in the target domain. In pseudo-labeling, the quality of pseudo-labels is crucial for the final performance. However, most works overlook the potential benefits of using…

Cited by 0SourceScholar
2025

Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks

IJCAI 2025

Trustworthy multi-view learning has attracted extensive attention because evidence learning can provide reliable uncertainty estimation to enhance the credibility of multi-view predictions. Existing trusted multi-view learning methods implicitly assume that multi-view data is secure. However, in saf

2024

Biomimetic Robotic Remora With Hitchhiking Ability: Design, Control and Experiment

RA-L 2024

Remora, which is well known for it's ’hitchhiking’ behavior, can attach to diverse marine animals and travel with them for a long distance with low energy consumption due to its special disc. In this letter, inspired by the unique ’hitchhiking’ behavior, a new prototype of a robotic remora with good

Cited by 2SourceScholar
2022

Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification

ICASSP 2022accepted

With the development of deep learning, automatic speaker verification has made considerable progress over the past few years. However, to design a lightweight and robust system with limited computational resources is still a challenging problem. Traditionally, a speaker verification system is symmet…

Cited by 0SourceScholar