Yuxuan Cheng

According to our database, Yuxuan Cheng authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PhysNote: Self-Knowledge Notes for Evolvable Physical Reasoning in Vision-Language Model.

Sinin Zhang, Yunfei Xie, Yuxuan Cheng, Haoyu Zhang, Tong Zhang

CoRR, April, 2026

2025

SCING:Towards More Efficient and Robust Person Re-Identification through Selective Cross-modal Prompt Tuning.

Yunfei Xie, Yuxuan Cheng, Juncheng Wu, Haoyu Zhang, Yuyin Zhou, Shoudong Han

CoRR, July, 2025

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks.

Xiaoxing Mo, Yuxuan Cheng, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao

CoRR, June, 2025

CrossACL: Analytic Continual Learning via Feature Cross for Hyperspectral Image Classification.

Yue Yan, Jianan Ji, Yuxuan Cheng, Ye Liu, Peiting Xiong, Huiping Zhuang

IEEE Geosci. Remote. Sens. Lett., 2025

CLIP-AdaM: Adapting Multi-view CLIP for Open-set 3D Object Retrieval.

Xinwei He, Liang Ma, Yuxuan Cheng, Zhichuan Wang, Yulong Wang, Yang Zhou, Xiang Bai

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective.

Haoyu Zhang, Yuxuan Cheng, Wenqi Fan, Yulong Chen, Yifan Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Scale Margin Loss for Object Detection.

Yuxuan Cheng, Yanjun Zhang, Leo Yu Zhang, Donglong Chen, Yuming Fang

Proceedings of the Knowledge Science, Engineering and Management, 2025

2024

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation.

Yuxuan Cheng, Chenxi Shao, Jie Ma, Guoliang Li

CoRR, 2024

Attention-Guided Perturbation for Unsupervised Image Anomaly Detection.

Tingfeng Huang, Yuxuan Cheng, Jingbo Xia, Rui Yu, Yuxuan Cai, Jinhai Xiang, Xinwei He, Xiang Bai

CoRR, 2024

Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data.

Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, Haohan Wang

CoRR, 2024

SimpleFusion: A Simple Fusion Framework for Infrared and Visible Images.

Ming Chen, Yuxuan Cheng, Xinwei He, Xinyue Wang, Yan Aze, Jinhai Xiang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation.

Ruoxin Wang, Tianyi Tang, Haiming Du, Yuxuan Cheng, Yu Wang, Lingjie Yang, Xiaohui Duan, Yunfang Yu, Yu Zhou, Donglong Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models.

Tong Zhang, Haoyang Liu, Peiyan Zhang, Yuxuan Cheng, Haohan Wang

CoRR, 2023

2022

ByteGNN: Efficient Graph Neural Network Training at Large Scale.

Chenguang Zheng, Hongzhi Chen, Yuxuan Cheng, Zhezheng Song, Yifan Wu, Changji Li, James Cheng, Hao Yang, Shuai Zhang

Proc. VLDB Endow., 2022

2021

The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models.

Jiaxin Fan, Mengying Chen, Jian Luo, Shusen Yang, Jinming Shi, Qingling Yao, Xiaodong Zhang, Shuang Du, Huiyang Qu, Yuxuan Cheng, Shuyin Ma, Meijuan Zhang, Xi Xu, Qian Wang, Shuqin Zhan

BMC Medical Informatics Decis. Mak., 2021