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Xue Zhao

7 accepted papers

2026

MoE-Powered Fast VLMs Via Curriculum Learning-Based Knowledge Distillation: Taming Regular and Corner Cases in Autonomous Driving

ICRA 2026poster

Autonomous driving has advanced significantly with the integration of large Vision-Language Models (VLMs), which excel in understanding and analyzing driving data. However, existing VLMs face challenges, particularly in terms of latency, which is crucial for real-time driving tasks. While shrinking …

Cited by 0Scholar
2025

FKAN-GMFNet: Fourier Kolmogorov-Arnold-based Group Multi-scale Fusion Network for Aneurysm Image Segmentation

ICASSP 2025accepted

KAN-based networks, while offering improved interpretability compared to traditional models used in medical image segmentation, often struggle with limited adaptability to diverse imaging environments, making them less ideal for such tasks. To address this issue, we propose a Fourier Kolmogorov–Arno…

Cited by 1SourceScholar
2025

Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning

ICML 2025poster

Improving the generalization of multi-camera 3D object detection is essential for safe autonomous driving in the real world. In this paper, we consider a realistic yet more challenging scenario, which aims to improve the generalization when only single source data available for training, as gatherin…

Cited by 0SourcePDFScholar
2025

Tri-AutoAug: Single Domain Generalization for Bird's-Eye-View 3D Object Detection Through Pixel-2D-3D Features

ICRA 2025

With the increasing popularity of autonomous driving based on the Bird's-Eye-View (BEV) representation, improving the generalization of such detection models is key for safe real-world applications. However, a realistic yet challenging scenario: Single Domain Generalization (SDG) for BEV, is still u

Cited by 0SourceScholar
2024

TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability

IJCAI 2024poster

Accurate segmentation of breast tumors in dynamic contrast-enhanced magnetic resonance images (DCE-MRI) is critical for early diagnosis of breast cancer. However, this task remains challenging due to the wide range of tumor sizes, shapes, and appearances. Additionally, the complexity is further comp…

Cited by 1SourcePDFScholar
2022

GCPG: A General Framework for Controllable Paraphrase Generation

ACL 2022findings

Controllable paraphrase generation (CPG) incorporates various external conditions to obtain desirable paraphrases. However, existing works only highlight a special condition under two indispensable aspects of CPG (i.e., lexically and syntactically CPG) individually, lacking a unified circumstance to…

2022

Self-supervised Product Title Rewrite for Product Listing Ads

NAACL 2022industry

Product Listing Ads (PLAs) are primary online advertisements merchants pay to attract more customers. However, merchants prefer to stack various attributes to the title and neglect the fluency and information priority. These seller-created titles are not suitable for PLAs as they fail to highlight t…

Cited by 4SourcePDFScholar